characteristics of the studies reporting on the ...mhs registry [4] israel 2000 8 100595 (53) 61.6...

57
1 Characteristics of the studies reporting on the association between diabetes and site-specific cancer If mean values of age or follow up year were unavailable, median or range was extracted. Digestive organs Cohort Country Baseline study (years) Follow-u p (years) N (% women) Mean age (years) N of diabetes (% women) Type of diabetes Ascertainment of diabetes N of outcome (% women) I or M Maximum adjustment available Wideroff et al [1] Denmark 1977-1989 5.7 109581 (50) M: 64 W: 69 109581 (50) Both Hospital discharge diagnosis 2639 (46) I Age, calendar year Idilbi et al [2] Israel 1999 9.3 87934 (50) 51.5 13450 (54) Both Diabetes registry 29 (38) a) I Age QResearch database [3] b) UK 1998 16 4942227 (50) 44.6 c) 121797 (44) c) T2 Primary care patients database 12808 (34) I Age, Townsend, BMI, smoking, alcohol, Barratt's esophagus, peptic ulcer disease, prior lung cancer, prior blood cancer, prior oral cancer, prior pancreatic cancer, (for women, prior breast cancer) MHS registry [4] Israel 2000 8 100595 (53) 61.6 16721 (47) Both Maccabi Healthcare Service database 2188 (42) I Age, region, socio-economic status, use of healthcare services a year prior to index date, BMI, history of CVD DECODE study [5] Denmark, Finland, Italy, the Netherlands , Poland, Sweden, UK (17 cohorts) 1966-2004 15.8 44655 (41) 53.4 3759 (48) Both Measured, self-reported 475 (23) M Age, cohort, BMI total cholesterol, BP, smoking Forssas et al [6] Finland 2003 5 5147349 in 1997 5300484 in 2007 1-79 171596 (54) in 1997 284832 (49) in 2007 Both Diabetes registry NR M Age

Upload: others

Post on 03-Jul-2020

0 views

Category:

Documents


0 download

TRANSCRIPT

Page 1: Characteristics of the studies reporting on the ...MHS registry [4] Israel 2000 8 100595 (53) 61.6 16721 (47) Both Maccabi Healthcare Service database 307 (35) I Age, region, socio-economic

1

Characteristics of the studies reporting on the association between diabetes and site-specific cancer

If mean values of age or follow up year were unavailable, median or range was extracted.

Digestive organs

Cohort Country Baseline

study (years)

Follow-u

p (years)

N

(% women)

Mean age

(years)

N of diabetes

(% women)

Type of

diabetes

Ascertainment of

diabetes

N of outcome

(% women) I or M

Maximum adjustment

available

Wideroff et al [1] Denmark 1977-1989 5.7 109581 (50) M: 64

W: 69 109581 (50) Both

Hospital discharge

diagnosis 2639 (46) I Age, calendar year

Idilbi et al [2] Israel 1999 9.3 87934 (50) 51.5 13450 (54) Both Diabetes registry 29 (38) a) I Age

QResearch database

[3] b) UK 1998 16 4942227 (50) 44.6 c) 121797 (44) c) T2

Primary care

patients database 12808 (34) I

Age, Townsend, BMI,

smoking, alcohol, Barratt's

esophagus, peptic ulcer

disease, prior lung cancer,

prior blood cancer, prior oral

cancer, prior pancreatic

cancer, (for women, prior

breast cancer)

MHS registry [4] Israel 2000 8 100595 (53) 61.6 16721 (47) Both

Maccabi

Healthcare Service

database

2188 (42) I

Age, region, socio-economic

status, use of healthcare

services a year prior to index

date, BMI, history of CVD

DECODE study [5]

Denmark,

Finland,

Italy, the

Netherlands

, Poland,

Sweden,

UK (17

cohorts)

1966-2004 15.8 44655 (41) 53.4 3759 (48) Both Measured,

self-reported 475 (23) M

Age, cohort, BMI total

cholesterol, BP, smoking

Forssas et al [6] Finland 2003 5

5147349 in

1997

5300484 in

2007

1-79

171596 (54) in

1997

284832 (49) in

2007

Both Diabetes registry NR M Age

Page 2: Characteristics of the studies reporting on the ...MHS registry [4] Israel 2000 8 100595 (53) 61.6 16721 (47) Both Maccabi Healthcare Service database 307 (35) I Age, region, socio-economic

2

Verona Diabetes Study

[7] Italy 1987 10 7148 (53) 67 7148 (53) Both

Medical records,

drug prescription

database

245 (43) M Age

a) Derived from diabetic patients.

b) Outcome was defined as gastro-esofageal cancer.

c) Derived from all derivation cohort.

Upper aerodigestive tract

Cohort Country Baseline

study (years)

Follow-u

p (years)

N

(% women)

Mean age

(years)

N of diabetes

(% women)

Type of

diabetes

Ascertainment of

diabetes

N of outcome

(% women) I or M Maximum adjustment available

Shu et al [8] Sweden 1964-2006 17 24052 (47) 11.2 24052 (47) T1 Hospital discharge

register 4 (50) I Age, period of diagnosis, region

Oesophagus

Cohort Country Baseline

study (years)

Follow-u

p (years)

N

(% women)

Mean age

(years)

N of diabetes

(% women)

Type of

diabetes

Ascertainment of

diabetes

N of outcome

(% women) I or M Maximum adjustment available

Adami et al [9] Sweden 1965-1983 5.2 51008 (55) NR 51008 (55) Both Hospital discharge

diagnosis 31 (29) I Age

NIH-AARP Diet and

Health Study [10] US 1995-1996 11 494867 (40) 62.5 44726 (33) Both Self-reported 185 (33) I

Age, BMI, race/ethnicity,

education, marital status, family

Hx of cancer, self-reported

health status, intake of red

meat, white meat, fruits,

vegetables, alcohol, and coffee,

physical activity, smoking,

multivitamin use

NDSS (T2DM) [11] Australia 1997 5.8 872706 (47) 60.4 872706 (47) T2 National diabetes

registry

I: 1103 (18),

M: 744 (17) I, M Age, calendar year

Wideroff et al [1] Denmark 1977-1989 5.7 109581 (50) M: 64

W: 69 109581 (50) Both

Hospital discharge

diagnosis 93 (28) I Age, calendar year

Page 3: Characteristics of the studies reporting on the ...MHS registry [4] Israel 2000 8 100595 (53) 61.6 16721 (47) Both Maccabi Healthcare Service database 307 (35) I Age, region, socio-economic

3

Walker et al [12] UK 2001-2007 7 80838 (45) 55-79 80838 (45) T2 Diabetes registry NR I Age, socioeconomic status

Lin et al [13] Taiwan 1997-1998 11 9884228 (45) 20- 472979 (51) T2

National Health

Insurance

Research Database

20888 (39) I

Age, insurance premium,

urbanization degree of area

registered for National Health

Insurance program

Wang et al [14] China 2007-2013 6 327268 (50) 59.8 327268 (50) Both Diabetes registry 209 (26) I Age, urbanization level

Carstensen et al [15]

Australia,

Denmark,

Finland,

Scotland,

Sweden

1987-2000 8-38

NR

3983000PY

(50)

NR NR T1 Diabetes registry,

impatient dataset 97 (31) I

Age, date of follow up, date of

birth

Zhang et al [16] China 2002-2008 6 7950 (52) 61.1 7950 (52) T2 Diabetes registry 9 (33) I Age

MHS registry [4] Israel 2000 8 100595 (53) 61.6 16721 (47) Both

Maccabi

Healthcare Service

database

50 (28) I

Age, region, socio-economic

status, use of healthcare

services a year prior to index

date, BMI, history of CVD

Sasazuki et al [17] Japan (8

cohorts) 1984-1994 9.9 339459 (54) 35-103 NR Both Self-reported 830 (3) I

Age, area, Hx of

cerebrocascular disease, CHD,

smoking, alcohol consumption,

BMI, physical exercise, green

leafy vegetable consumption,

coffee intake

NDSS (T1DM) [11] Australia 1997 12 80676 (48) 27.4 80676 (48) T1 National diabetes

registry 18 (22) M Age

CPS II [18] US 1982 26 1053831 (56) NR 52655 (50) Both Self-reported 2358 (22) M

Age, education, BMI, smoking,

alcohol, vagetable intake, red

meat intake, physical activity,

aspirin use

Verona Diabetes Study

[7] Italy 1987 10 7148 (53) 67 7148 (53) Both

Medical records,

drug prescription

database

11 (27) M Age

Fedeli et al [19] Italy 2008 3 167621 (45) 30-89 167621 (45) Both

Regional archives

from subjects

exempt from

medical charges

due to diabetes

78 (27) M Age

Page 4: Characteristics of the studies reporting on the ...MHS registry [4] Israel 2000 8 100595 (53) 61.6 16721 (47) Both Maccabi Healthcare Service database 307 (35) I Age, region, socio-economic

4

Stomach

Cohort Country Baseline

study (years)

Follow-u

p (years)

N

(% women)

Mean age

(years)

N of diabetes

(% women)

Type of

diabetes

Ascertainment of

diabetes

N of outcome

(% women) I or M Maximum adjustment available

MHS registry [4] Israel 2000 8 100595 (53) 61.6 16721 (47) Both

Maccabi

Healthcare Service

database

307 (35) I

Age, region, socio-economic

status, use of healthcare

services a year prior to index

date, BMI, history of CVD

Wideroff et al [1] Denmark 1977-1989 5.7 109581 (50) M: 64

W: 69 109581 (50) Both

Hospital discharge

diagnosis 319 (41) I Age, calendar year

Jee et al [20] Korea 1992-1995 10 1298385 (36) 46.9 62924 (33) Both Self-reported,

measured

I: NR

F: NR I, M Age, smoking, alcohol use

NDSS (T2DM) [11] Australia 1997 5.8 872706 (47) 60.4 872706 (47) T2 National diabetes

registry

I: 1605 (28)

F: 816 (29) I, M Age, calendar year

Xu et al [21] China 2004 3.7 36379 (56) 59 36379 (56) T2 Diabetes registry 123 (40) I Age

SMHS, SWHS [22] China

SMHS :

2002-2006

SWHS:

1996-2000

SMHS:

7.5

SWHS:

13.2

134325 (54) 53.8 13214 (56) T2 Self-reported 755(50) I

Age, education, income, BMI,

chronic gastritis, family Hx of

stomach cancer, physical

exercise, total energy intake,

ever smoke, ever drink tea, ever

drink alcohol, vegetable intale,

red meat intake, fruit intake

Ragozzino et al [23] US 1945-1969 8.6 1135 (NR) NR 1135 (NR) Both Measured 5 (40) I Age

Dankner et al [24] Israel 2002 11 2186196 (53) 21-89

159104 (53) (n

of prevalent

diabetes)

Both Diabetes registry 3950 (41) I Age, ethnic origin,

socioeconomic status

Adami et al [9] Sweden 1965-1983 5.2 51008 (55) NR 51008 (55) Both

A hospital

discharge

diagnosis

159 (48) I Age

Lin et al [13] Taiwan 1997-1998 11 9884228 (45) 20- 472979 (51) T2

National Health

Insurance

Research Database

32908 (35) I

Age, insurance premium,

urbanization degree of area

registered for National Health

Insurance program

Hsu et al [25] Taiwan 2000-2007 5.9 14619 (53) 50.2 14619 (53) T1

National Health

Insurance

Research Database

31 (45) I Age, calendar year

Walker et al [12] UK 2001-2007 7 80838 (45) 55-79 80838 (45) T2 Diabetes registry NR I Age, socioeconomic status

Page 5: Characteristics of the studies reporting on the ...MHS registry [4] Israel 2000 8 100595 (53) 61.6 16721 (47) Both Maccabi Healthcare Service database 307 (35) I Age, region, socio-economic

5

Sasazuki et al [17] Japan (8

cohorts) 1984-1994 9.9 339459 (54) 35-103 NR Both Self-reported 6377 (31) I

Age, area, Hx of

cerebrocascular disease, CHD,

smoking, alcohol consumption,

BMI, physical exercise, green

leafy vegetable consumption,

coffee intake

Zhang et al [16] China 2002-2008 6 7950 (52) 61.1 7950 (52) T2 Diabetes registry 41 (39) I Age

Wang et al [14] China 2007-2013 6 327268 (50) 59.8 327268 (50) Both Diabetes registry 729 (38) I Age, urbanization level

Carstensen et al [15]

Australia,

Denmark,

Finland,

Scotland,

Sweden

1987-2000 8-38

3983000

person years

(50)

NR NR T1

National diabetes

registry, Scottish

General

Acute/Inpatient

dataset

254 (47) I Age, date of follow up, date of

birth

NIH-AARP Diet and

Health Study [10] US 1995-1996 11 494867 (40) 62.5 44726 (33) Both Self-reported 940 (23) I

Age, BMI, race/ethnicity,

education, marital status, family

Hx of cancer, self-reported

health status, intake of red

meat, white meat, fruits,

vegetables, alcohol, and coffee,

physical activity, smoking,

multivitamin use

DRT [26] Austria 2005 8.7 5709 (47) 57.4 5709 (47) T2 Diabetes registry 18 (56) I Age, period in 5-year period

groups

APCSC (Asia) [27] Asia (26

cohorts) a) 1961-1993 7 89468 (46) 45 4621 (45) Both

Self-reported,

measured 287 (39) M

Age, BMI, education, alcohol,

smoking

APCSC (ANZ) [27]

Australia,

New

Zealand

(9 cohorts)

1989-1996 7 82913 (52) 51 3365 (44) Both Self-reported,

measured 103 (27) M

Age, BMI, education, alcohol,

smoking

NDSS (T1DM) [11] Australia 1997 12 80676 (48) 27.4 80676 (48) T1 National diabetes

registry 15 (27) M Age, calendar year

Shen et al [28] China 1998-2001 10.9 66813 (66) 65- 9225 (66) Both Self-reported 335 (46) M

Age, alcohol use, smoking,

exercise, housing and monthly

expenditure, BMI

Verona Diabetes Study

[7] Italy 1987 10 7148 (53) 67 7148 (53) Both

Medical records,

drug prescription

database

48 (42) M Age

NHIS-NSC [29] Korea 2002-2003 9.7 29807 (48) NR 29807 (48) T2

Data from national

health insurance

database

227 (31) M Age

Page 6: Characteristics of the studies reporting on the ...MHS registry [4] Israel 2000 8 100595 (53) 61.6 16721 (47) Both Maccabi Healthcare Service database 307 (35) I Age, region, socio-economic

6

Forssas et al [6] Finland 2003 5

5147349 in

1997

5300484 in

2007

1-79

171596 (54) in

1997

284832 (49) in

2007

Both Diabetes registry NR M Age

Fedeli et al [19] Italy 2008 3 167621 (45) 30-89 167621 (45) Both

Regional archives

from subjects

exempt from

medical charges

due to diabetes

229 (34) M Age

JPHC [30] Japan 1990, 1993 17.8 99584 (54) 50.2 4286 (36) Both Self-reported 812 (29) M

Age, BMI, alcohol intake,

smoking, Hx of hypertension,

phsical activity, area (stratified)

CPS II [18] US 1982 26 1053831 (56) NR 52655 (50) Both Self-reported 2693 (37) M

Age, education, BMI, smoking,

alcohol, vagetable intake, red

meat intake, physical activity,

aspirin use

2001 ENTRED study

[31] France 2001 5 9101 (NR) 66 9101 (NR) Both Self-reported 16 (NR) M Age

a) KMIC cohort was excluded.

Small intestine

Cohort Country Baseline

study (years)

Follow-u

p (years)

N

(% women)

Mean age

(years)

N of diabetes

(% women)

Type of

diabetes

Ascertainment of

diabetes

N of outcome

(% women) I or M Maximum adjustment available

NIH-AARP Diet and

Health Study [10] US 1995-1996 11 494867 (40) 62.5 44726 (33) Both Self-reported 237 (38) NF

Age, BMI, race/ethnicity,

education, marital status, family

Hx of cancer, self-reported

health status, intake of red

meat, white meat, fruits,

vegetables, alcohol, and coffee,

physical activity, smoking,

multivitamin use

Wang et al [14] China 2007-2013 6 327268 (50) 59.8 327268 (50) Both Diabetes registry 47 (38) NF Age, urbanization level

Lin et al [13] Taiwan 1997-1998 11 9884228 (45) 20- 472979 (51) T2

National Health

Insurance

Research Database

3886 (38) NF

Age, insurance premium,

urbanization degree of area

registered for National Health

Insurance program

Page 7: Characteristics of the studies reporting on the ...MHS registry [4] Israel 2000 8 100595 (53) 61.6 16721 (47) Both Maccabi Healthcare Service database 307 (35) I Age, region, socio-economic

7

Wideroff et al [1] Denmark 1977-1989 5.7 109581 (50) M: 64,

W: 69 109581 (50) Both

Hospital discharge

diagnosis 26 (46) NF Age, calendar year

MHS registry [4] Israel 2000 8 100595 (53) 61.6 16721 (47) Both

Maccabi

Healthcare Service

database

23 (26) NF

Age, region, socio-economic

status, use of healthcare

services a year prior to index

date, BMI, history of CVD

Colorectal

Cohort Country Baseline

study (years)

Follow-u

p (years)

N

(% women)

Mean age

(years)

N of diabetes

(% women)

Type of

diabetes

Ascertainment of

diabetes

N of outcome

(% women) I or M Maximum adjustment available

EPIC-Norfolk Study

[32] UK 1995-1997 6 9605 (54) 58.9 221 (33) Both Self-reported 67 (46) I Age, BMI, smoking

Limburg et al [33] US 1970-1994 9.7 1975 (50) 61.0 1975 (50) T2 Medical records 51 (33) I Age, calendar period

CHS [34] US 1989-1990,

1992-1993 3.2

5489 (58)

5162 (57)# 72.8 1161 (54) Both

Measured,

self-reported

102 (42), 93

(43)# I Age, physical activity

VHM&PP Study

Cohort [35] Austria 1988-2001 8.4 140813 (55) 43 4758 (48) Both Measured 677 (51) I

Age (stratified), smoking,

occupational group, BMI

Ren et al [36] China 2002 2.6 7938 (52) 61.1 7938 (52) T2 Diabetes registry 64 (42) I Age

Ragozzino et al [23] US 1945-1969 8.6 1135 (NR) NR 1135 (NR) Both Measured 22 (45) I Age

CPS II Nutrition

Cohort [37] US 1992 12 154975 (53) 63 11335 (42) T2 Self-reported 2809 (44) I

Age, ecucation, BMI, physical

activity, NSAID use, alcohol,

family Hx of colorectal cancer,

endoscopy Hx

DRT [26] Austria 2005 8.7 5709 (47) 57.4 5709 (47) T2 Diabetes registry 71 (38) I Age, period in 5-year period

groups

JPHC [38] Japan 1998-2000,

2003-2005 8.5 29629 62.7 1861 (48) Both

Self-reported,

Prescription 305 (51) I

Age, geographic area, BMI,

smoking, physical activity,

alcohol, coffee consumption,

vegetable consumption, total

energy consumption, Hx of

CVD

Page 8: Characteristics of the studies reporting on the ...MHS registry [4] Israel 2000 8 100595 (53) 61.6 16721 (47) Both Maccabi Healthcare Service database 307 (35) I Age, region, socio-economic

8

First Cancer

Prevention Study [39] US 1959-1960 13 863699 (59) 52.3 15487 (53) Both Self-reported 7224 (55) I

Age, race, education, family Hx

of colon cancer, BMI, smoking,

cereal, fruit, cooked vegetables,

green salad, fired foods, mear

or poultry, coffee, tea, milk

consumption, alcohol, aspirin

orbuffered apsirin use, exercise,

Hx of pregnancy (for women)

Berger et al [40] Denmark 1996-2011 12.6 4826142 (50) 41.4 65690 (47) Both

Discharge

diagnosis, claimed

prescription

NR I Age a)

QResearch database

[3] UK 1998 16 4934563 (50) 44.6 b) 121797 (44) b) T2

Primary care

patients database 32626 (44) I

Age, ethnic group, BMI,

smoking, alcohol, family Hx of

bowel cancer, ulcerative colitis,

colonic polyp, prior lung

cancer, prior blood cancer, prior

oral cancer, (for women, prior

breast cancer, prior uterine

cancer, prior ovarian cancer,

prior cervical cancer), (for men

Townsend)

Singapre Chinese

Health Study [41] Singapore 1993-1998 7.1 61320 (56) 59.6 5469 (57) Both Self-reported 636 (45) I

Age, year at enrollment, dialect

group, education, BMI,

smoking, alcohol consumption,

familial Hx of colorectal cancer,

physical activity

Carstensen et al [15]

Australia,

Denmark,

Finland,

Scotland,

Sweden

1987-2000 8-38

NR 3983000

person years

(50)

NR NR T1

National diabetes

registry, Scottish

General

Acute/Inpatient

dataset

876 (44) I Age, date of follow up, date of

birth

Diabetes II-to-Cancer

[42] Germany 2003 3.3 26742 (53) 64 26742 (53) T2

Physician's

diagnosis 195 (45) I Age

Lin et al [13] Taiwan 1997-1998 11 9884228 (45) 20- 472979 (51) T2

National Health

Insurance

Research Database

91734 (42) I

Age, insurance premium,

urbanization degree of area

registered for National Health

Insurance program

NDSS (T2DM) [11] Australia 1997 5.8 872706 (47) 60.4 872706 (47) T2 National diabetes

registry

I: 10848 (36),

M 2760 (37) I, M Age, calendar year

Page 9: Characteristics of the studies reporting on the ...MHS registry [4] Israel 2000 8 100595 (53) 61.6 16721 (47) Both Maccabi Healthcare Service database 307 (35) I Age, region, socio-economic

9

ARIC [43] US 1990-1992 15 12792 (55) 56.9 1125 (56) Both Self-reported,

Prescription

I: 268 (48),

M 75 (39) I, M

Age, race/ethnicity, ARIC study

site, education, smoking status,

cigarette-years smoked, BMI,

waist circumference,

postmenopausal hormone use

(for women)

Dankner et al [24] Israel 2002 11 2186196 (53) 21-89

159104 (53) (n

of prevalent

diabetes)

Both Diabetes registry 18251 (49) I Age, ethnic origin,

socioeconomic status c)

Jee et al [20] Korea 1992-1995 10 1298385 (36) 46.9 62924 (33) Both Self-reported,

measured NR I, M Age, smoking, alcohol use

FDS [44] Australia 1993 7 6445 (51.2) d) 64.1 d) 1282 (51) d) T2

Fremantle hospital

clinic and

inpatient lists,

Local physician

referrals, allied

health facilities,

pharmacies,

opticians,

ddvertising in

local media ,Word

of mouth

266 (37) I Age (matched), postcode

(matched)

NIH-AARP Diet and

Health Study [45] US 1995-1996 9.2 484020 (40) 62 41445 (33) Both Self-reported 7598 (32) I

Age, race/ethnicity, education,

BMI, smoking, physical

activity, replacement hormone

therapy in women, family Hx of

colon cancer, vitamin and

mineral supplements, diet

quality score, energy intake

Sikdar et al [46] Canada 1995-2004 6.1 122228 (50) 57.2 25304 (50) Both

Health insurance

registry, hospital

discharge records,

fee-for-service

physician claims

1663 (40) I Age, severity of illness

Page 10: Characteristics of the studies reporting on the ...MHS registry [4] Israel 2000 8 100595 (53) 61.6 16721 (47) Both Maccabi Healthcare Service database 307 (35) I Age, region, socio-economic

10

MEC [47] US 1993-1996 13 199142 (55) 60 31331 (52) Both Self-reported 3549 (46) I

Age (stratified), ethnicity, BMI,

smoking education, alcohol

intake, NSAIDs use, saturated

fat intake, non-saturated fat

intake, dietary fiber intake, total

calories, physical activity,

family Hx of colorectal cancer,

menopausal status and hormone

replacement therapy use (for

women)

Walker et al [12] UK 2001-2007 7 80838 (45) 55-79 80838 (45) T2 Diabetes registry 267 (NR) I Age, socioeconomic status

Netherlands Cohort

Study on diet and

cancer (NLCS) [48]

Netherlands 1986 17.3 3919 (52) e) 61.3 e) 122 (55) e) T2 Self-reported 3056 (43) I

Age, BMI, pants/skirt size,

family Hx of CRC, smoking,

alcohol, dietary habits,

nonoccupational physical

activity

Gini et al [49] Italy 2002-2009 3.7 32247 (45) 65 32247 (45) T2

Hospital

discharge,

exemption from

medical charges

because of

diabetes,

prescription

314 (35) I Age, year at cancer diagnosis

Nilsen et al [50] Norway 1984-1986 12 75219 (51) 49.2 NR Both Self-reported 726 (51) I Age

APCSC (Asia) [27] Asia (26

cohorts)f)

1961-1993 7 89468 (46) 45 4621 (45) Both Self-reported,

measured 113 (42) M

Age, BMI, education, alcohol,

smoking

APCSC (ANZ) [27]

Australia,

New

Zealand

(9 cohorts)

1989-1996 7 82913 (52) 51 3365 (44) Both Self-reported,

Measured 383 (47) M

Age, BMI, education, alcohol,

smoking

Verona Diabetes Study

[7] Italy 1987 10 7148 (53) 67 7148 (53) Both

Medical records,

drug prescription

database

65 (37) M Age

Fedeli et al.[19] Italy 2008 3 167621 (45.4) 30-89 167621 (45.4) Both

Regional archives

from subjects

exempt from

medical charges

due to diabetes

516 (36) M Age

Koskinen et al [51] Finland 1980 5 2450549 (53) 30-74 58000 (59) Both National drug

register NR M Age

Page 11: Characteristics of the studies reporting on the ...MHS registry [4] Israel 2000 8 100595 (53) 61.6 16721 (47) Both Maccabi Healthcare Service database 307 (35) I Age, region, socio-economic

11

NDSS (T1DM) [11] Australia 1997 12 80676 (48) 27.4 80676 (48) T1 National diabetes

registry 63 (41) M Age, calendar year

2001 ENTRED study

[31] France 2001 5 9101 (NR) 66 9101 (NR) Both Self-reported 64 (NR) M Age

JACC Study [52] Japan 1988 16.3 96081 (58) 57.1 5283 (46) Both Self-reported 849 (46) M

Age, BMI, family Hx of

colorectal cancer, smoking,

drinking habit, sports, walking,

education

# Analyzed cohort.

a) RRs for diabetes present at study entry were extracted.

b) Derived from the all derivation cohort.

c) RRs for prevalent diabetes were extracted.

d) Derived from 1,282 FDS type 2 diabetes participants. Baseline characteristics of non-diabetic controls were not reported.

e) Derived from the subcohort.

f) KMIC cohort was excluded.

Colon

Cohort Country Baseline

study (years)

Follow-u

p (years)

N

(% women)

Mean age

(years)

N of diabetes

(% women)

Type of

diabetes

Ascertainment of

diabetes

N of outcome

(% women) I or M Maximum adjustment available

Sasazuki et al [17] Japan (8

cohorts) 1984-1994 9.9 339459 (54) 35-103 NR Both Self-reported 2818 (41) I

Age, area, Hx of

cerebrocascular disease, CHD,

smoking, alcohol consumption,

BMI, physical exercise, green

leafy vegetable consumption,

coffee intake

CPS II Nutrition

Cohort [37] US 1992 12 154975 (53) 63 11335 (42) T2 Self-reported 2096 (46) I

Age, ecucation, BMI, physical

activity, NSAID use, alcohol,

family Hx of colorectal cancer,

endoscopy history

Wideroff et al [1] Denmark 1977-1989 5.7 109581 (50) M: 64,

W: 69 109581 (50) Both

Hospital discharge

diagnosis 855 (52) I Age, calendar year

Xu et al [21] China 2004 3.7 36379 (56) 59 36379 (56) T2 Diabetes registry 126 (50) I Age

Page 12: Characteristics of the studies reporting on the ...MHS registry [4] Israel 2000 8 100595 (53) 61.6 16721 (47) Both Maccabi Healthcare Service database 307 (35) I Age, region, socio-economic

12

Carstensen et al [15]

Australia,

Denmark,

Finland,

Scotland,

Sweden

1987-2000 8-38

NR 3983000

person years

(50)

NR NR T1

National diabetes

registry, Scottish

General

Acute/Inpatient

dataset

483 (43) I Age, date of follow up, date of

birth

Ren et al [36] China 2002 2.6 7938 (52) 61.1 7938 (52) T2 Diabetes registry 44 (45) I Age

Wang et al [14] China 2007-2013 6 327268 (50) 59.8 327268 (50) Both Diabetes registry 413 (43) I Age, urbanization level

Chen et al [53] Taiwan 2000 6.9 1230403 (52) 60 615532 (52) Both National Health

Insurance database 7015 (51) I

Age, geographic area,

urbanization status

Sikdar et al [46] Canada 1995-2004 6.2 122228 (50) 57.2 25304 (50) Both

Health insurance

registry, hospital

discharge records,

fee-for-service

physician claims

1131 (45) I Age, severity of illness

Weiderpass et al [54] Sweden 1965-1983 6.7 153852 (52) 62.9 153852 (52) Both Hospital discharge

diagnosis

I: 943 (56)

M: NR I, M Age

Onitilo et al [55] US 1995 14 65601 (48) 63.1 11236 (48) T2 Medical record,

measured 447 (49) I

Age, smoking, residence,

diagnosis reference date, BMI,

insurance status, comorbidities

NIH-AARP Diet and

Health Study [10] US 1995-1996 11 494867 (40) 62.5 44726 (33) Both Self-reported 5611 (33) I

Age, BMI, race/ethnicity,

education, marital status, family

Hx of cancer, self-reported

health status, intake of red

meat, white meat, fruits,

vegetables, alcohol, and coffee,

physical activity, smoking,

multivitamin use

MEC [47] US 1993-1996 13 199142 (55) 60 31331 (52) Both Self-reported 2628 (49) I

Age (stratified), ethnicity, BMI,

smoking education, alcohol

intake, NSAIDs use, saturated

fat intake, non-saturated fat

intake, dietary fiber intake, total

calories, physical activity,

family Hx of colorectal cancer,

menopausal status and hormone

replacement therapy use (for

women)

Nilsen et al [50] Norway 1984-1986 12 75219 (51) 49.2 NR Both Self-reported 345 (53) I Age

MHS registry [4] Israel 2000 8 100595 (53) 61.6 16721 (47) Both

Maccabi

Healthcare Service

database

1034 (44) I

Age, region, socio-economic

status, use of healthcare

services a year prior to index

date, BMI, history of CVD

Page 13: Characteristics of the studies reporting on the ...MHS registry [4] Israel 2000 8 100595 (53) 61.6 16721 (47) Both Maccabi Healthcare Service database 307 (35) I Age, region, socio-economic

13

JPHC [30] Japan 1990, 1993 17.8 99584 (54) 50.2 4286 (36) Both Self-reported 356 (46) M

Age, BMI, alcohol intake,

smoking, Hx of hypertension,

phsical activity, area (stratified)

Shen et al [28] China 1998-2001 10.9 66813 (66) 65- 9225 (66) Both Self-reported 662 (55) M

Age, alcohol use, smoking,

exercise, housing and monthly

expenditure, BMI

Forssas et al [6] Finland 2003 5

5147349 in

1997,

5300484 in

2007

1-79

171596 (54) in

1997

284832 (49) in

2007

Both Diabetes registry NR M Age a)

CPS II [18] US 1982 26 1053831 (56) NR 52655 (50) Both Self-reported 11223 (50) M

Age, education, BMI, smoking,

alcohol, vagetable intake, red

meat intake, physical activity,

aspirin use

JACC Study [52] Japan 1988 16.3 96081 (58) 57.1 5283 (46) Both Self-reported 540 (52) M

Age, BMI, family Hx of

colorectal cancer, smoking,

drinking habit, sports, walking,

education

NHIS-NSC [29] Korea 2002-2003 9.7 29807 (48) NR 29807 (48) T2

Data from national

health insurance

database

104 (47) M Age

a) RRs for non-insulin-treated diabetes were extracted.

Rectum

Cohort Country Baseline

study (years)

Follow-u

p (years)

N

(% women)

Mean age

(years)

N of diabetes

(% women)

Type of

diabetes

Ascertainment of

diabetes

N of outcome

(% women) I or M Maximum adjustment available

Ren et al [36] China 2002 2.6 7938 (52) 61.1 7938 (52) T2 Diabetes registry 20 (35) I Age

Xu et al [21] China 2004 3.7 36379 (56) 59 36379 (56) T2 Diabetes registry 78 (38) I Age

Weiderpass et al [54] Sweden 1965-1983 6.7 153852 (52) 62.9 153852 (52) Both Hospital discharge

diagnosis

I: 492 (40)

M: NR I, M Age

Chen et al [53] Taiwan 2000 6.9 1230403 (52) 60 615532 (52) Both National Health

Insurance database 5311 (47) I

Age, geographic area,

urbanization status

Wideroff et al [1] Denmark 1977-1989 5.7 109581 (50) M: 64,

F: 69 109581 (50) Both

Hospital discharge

diagnosis 402 (42) I Age, calendar year

Page 14: Characteristics of the studies reporting on the ...MHS registry [4] Israel 2000 8 100595 (53) 61.6 16721 (47) Both Maccabi Healthcare Service database 307 (35) I Age, region, socio-economic

14

MHS registry [4] Israel 2000 8 100595 (53) 61.6 16721 (47) Both

Maccabi

Healthcare Service

database

396 (41) I

Age, region, socio-economic

status, use of healthcare

services a year prior to index

date, BMI, history of CVD

CPS II Nutrition

Cohort [37] US 1992 12 154975 (53) 63 11335 (42) T2 Self-reported 713 (39) I

Age, ecucation, BMI, physical

activity, NSAID use, alcohol,

family Hx of colorectal cancer,

endoscopy Hx

Carstensen et al [15]

Australia,

Denmark,

Finland,

Scotland,

Sweden

1987-2000 8-38

NR 3983000

person years

(50)

NR NR T1

National diabetes

registry, Scottish

General

Acute/Inpatient

dataset

272 (42) I Age, date of follow up, date of

birth

Wang et al [14] China 2007-2013 6 327268 (50) 59.8 327268 (50) Both Diabetes registry 366 (41) I Age, urbanization level

MEC [47] US 1993-1996 13 199142 (55) 60 31331 (52) Both Self-reported 921 (38) I

Age (stratified), ethnicity, BMI,

smoking education, alcohol

intake, NSAIDs use, saturated

fat intake, non-saturated fat

intake, dietary fiber intake, total

calories, physical activity,

family Hx of colorectal cancer,

menopausal status and hormone

replacement therapy use (for

women)

NIH-AARP Diet and

Health Study [10] US 1995-1996 11 494867 (40) 62.5 44726 (33) Both Self-reported 2082 (30) I

Age, BMI, race/ethnicity,

education, marital status, family

Hx of cancer, self-reported

health status, intake of red

meat, white meat, fruits,

vegetables, alcohol, and coffee,

physical activity, smoking,

multivitamin use

Sasazuki et al [17] Japan (8

cohorts) 1984-1994 9.9 339459 (54) 35-103 NR Both Self-reported 1490 (36) I

Age, area, Hx of

cerebrocascular disease, CHD,

smoking, alcohol consumption,

BMI, physical exercise, green

leafy vegetable consumption,

coffee intake

Sikdar et al [46] Canada 1995-2004 6.2 122228 (50) 57.2 25304 (50) Both

Health insurance

registry, hospital

discharge records,

fee-for-service

physician claims

523 (31) I Age, severity of illness

Page 15: Characteristics of the studies reporting on the ...MHS registry [4] Israel 2000 8 100595 (53) 61.6 16721 (47) Both Maccabi Healthcare Service database 307 (35) I Age, region, socio-economic

15

Netherlands Cohort

Study on diet and

cancer (NLCS) [48]

Netherlands 1986 17.3 3919 (52) e) 61.3 e) 122 (55) e) T2 Self-reported 678 (36) I

Age, BMI, pants/skirt size,

family Hx of CRC, smoking,

alcohol, dietary habits,

nonoccupational physical

activity

CPS II [18] US 1982 26 1053831 (56) NR 52655 (50) Both Self-reported 1766 (47) M

Age, education, BMI, smoking,

alcohol, vagetable intake, red

meat intake, physical activity,

aspirin use

Forssas et al [6] Finland 2003 5

5147349 in

1997,

5300484 in

2007

1-79

171596 (54) in

1997,

284832 (49) in

2007

Both Diabetes registry NR M Age

NHIS-NSC [29] Korea 2002-2003 9.7 29807 (48) NR 29807 (48) T2 National health

insurance database 71 (42) M Age

JACC Study [52] Japan 1988 16.3 96081 (58) 57.1 5283 (46) Both Self-reported 309 (36) M

Age, BMI, family Hx of

colorectal cancer, smoking,

drinking habit, sports, walking,

education

a) Derived from the subcohort.

Anus

Cohort Country Baseline

study (years)

Follow-u

p (years)

N

(% women)

Mean age

(years)

N of diabetes

(% women)

Type of

diabetes

Ascertainment of

diabetes

N of outcome

(% women) I or M Maximum adjustment available

MHS registry [4] Israel 2000 8 100595 (53) 61.6 16721 (47) Both

Maccabi

Healthcare Service

database

13 (69) I

Age, region, socio-economic

status, use of healthcare services a

year prior to index date, BMI,

history of CVD

NDSS (T1DM) [11] Australia 1997 12 80676 (48) 27.4 80676 (48) T1 National diabetes

registry 9 (44) I Age, calendar year

NDSS (T2DM) [11] Australia 1997 5.8 872706 (47) 60.4 872706 (47) T2 National diabetes

registry

I: 130 (52)

M: 27 (37) I, M Age, calendar year

Page 16: Characteristics of the studies reporting on the ...MHS registry [4] Israel 2000 8 100595 (53) 61.6 16721 (47) Both Maccabi Healthcare Service database 307 (35) I Age, region, socio-economic

16

NIH-AARP Diet and

Health Study [10] US 1995-1996 11 494867 (40) 62.5 44726 (33) Both Self-reported 192 (45) I

Age, BMI, race/ethnicity,

education, marital status, family

Hx of cancer, self-reported health

status, intake of red meat, white

meat, fruits, vegetables, alcohol,

and coffee, physical activity,

smoking, multivitamin use

Liver

Cohort Country Baseline

study (years)

Follow-u

p (years)

N

(% women)

Mean age

(years)

N of diabetes

(% women)

Type of

diabetes

Ascertainment of

diabetes

N of outcome

(% women) I or M

Maximum adjustment

available

Berger et al [40] Denmark 1996-2011 12.6 4826142 (50) 41.4 65690 (47) Both

Discharge

diagnosis, claimed

prescription

NR I Age e)

Jee et al [20] Korea 1992-1995 10 1298385 (36) 46.9 62924 (33) Both Self-reported,

measured NR I, M Age, smoking, alcohol use

Adami et al [56] Sweden 1965-1983 6.7 153852 (52) 62.9 153852 (52) Both

A hospital

discharge

diagnosis

I: 533 (36)

M: 432 (37) I, M Age

Carstensen et al [15]

Australia,

Denmark,

Finland,

Scotland,

Sweden

1987-2000 8-38

NR 3983000

person years

(50)

NR NR T1

National diabetes

registry, Scottish

General

Acute/Inpatient

dataset

154 (27) I Age, date of follow up, date of

birth

Sasazuki et al [17] Japan (8

cohorts) 1984-1994 9.9 339459 (54) 35-103 NR Both Self-reported 1844 (31) I

Age, area, Hx of

cerebrocascular disease, CHD,

smoking, alcohol

consumption, BMI, physical

exercise, green leafy

vegetable consumption, coffee

intake

DRT [26] Austria 2005 8.7 5709 (47) 57.4 5709 (47) T2 Diabetes registry 27 (26) I Age, period in 5-year period

groups

Liver Cancer Pooling

Project (LCPP) [57]

US (14

cohorts) 1980-1995 7-31 1570023 58.2

NR, 6.5% of

total subjects T2 Self-reported 2162 (31) I

Age, study, alcohol, race,

smoking, BMI

Xu et al [21] China 2004 3.7 36379 (56) 59 36379 (56) T2 Diabetes registry 75 (32) I Age

Page 17: Characteristics of the studies reporting on the ...MHS registry [4] Israel 2000 8 100595 (53) 61.6 16721 (47) Both Maccabi Healthcare Service database 307 (35) I Age, region, socio-economic

17

Zhang et al [16] China 2002-2008 6 7950 (52) 61.1 7950 (52) T2 Diabetes registry 48 (33) I Age

Lin et al [13] Taiwan 1997-1998 11 9884228 (45) 20- 472979 (51) T2

National health

insurance research

database

108334 (32) I

Age, insurance premium,

urbanization degree of area

registered for National Health

Insurance program

SMHS, SWHS [58] China

SMHS:

2002-2006,

SWHS:

1996-2000

SMHS :5.

5,

SWHS:

11.2

133288 (55) 53.8 10916 (58) T2 Self-reported 344 (41) I

Age, birth cohort, education,

income, BMI, occupation,

ever smoking, alcohol

drinking, family Hx of cancer,

total energy intake, fruit

intake, vegetable intake, total

physical activity, Hx of

hepatitis/chronic liver disease,

hormone replacement therapy

(for women), menopausal

status (for women)

Singapore Chinese

Health Study [59] Singapore 1993-1998 14.0 61321 (56) 56.4 5469 (57) Both Self-reported 499 (27) I

Age, year of recruitment,

dialect group, BMI, education,

smoking, alcohol intake

frequency, consumption of

coffee and tea

NDSS (T2DM) [11] Australia 1997 5.8 872706 (47) 60.4 872706 (47) T2 National diabetes

registry

I: 2145 (22)

M: 1434 (24) I, M Age, calendar year

Wild et al [60] UK 2004 9 NR 40-89 NR T2 Diabetes register 2944 (24) I Age, socio-economic status

Diabetes II-to-Cancer

[42] Germany 2003 3.3 26742 (53) 64 26742 (53) T2

Physician's

diagnosis 33 (30) I Age

Dankner et al [24] Israel 2002 11 2186196 (53) 21-89 159104 (53) (n

of prevalent

diabetes)

Both Diabetes registry 1247 (35) I Age, ethnic origin,

socioeconomic status b)

Wang et al [14] China 2007-2013 6 327268 (50) 59.8 327268 (50) Both Diabetes registry 861 (29) I Age, urbanization level

MHS registry [4] Israel 2000 8 100595 (53) 61.6 16721 (47) Both

Maccabi

Healthcare Service

database

73 (37) I

Age, region, socio-economic

status, use of healthcare

services a year prior to index

date, BMI, history of CVD

Gini et al [49] Italy 2002-2009 3.7 32247 (45) 65 32247 (45) T2

Hospital

discharge,

Exemption from

medical charges

because of

diabetes,

prescription

112 (20) I Age, year at cancer diagnosis

Page 18: Characteristics of the studies reporting on the ...MHS registry [4] Israel 2000 8 100595 (53) 61.6 16721 (47) Both Maccabi Healthcare Service database 307 (35) I Age, region, socio-economic

18

APCSC (ANZ) [27]

Australia,

New

Zealand

(9 cohorts)

1989-1996 7 82913 (52) 51 3365 (44) Both Self-reported,

Measured 43 (42) M

Age, BMI, education, alcohol,

smoking

Forssas et al [6] Finland 2003 5

5147349 in

1997

5300484 in

2007

1-79

171596 (54) in

1997

284832 (49) in

2007

Both Diabetes registry NR M Age c)

CPS II [18] US 1982 26 1053831 (56) NR 52655 (50) Both Self-reported 2282 (39) M

Age, education, BMI,

smoking, alcohol, vagetable

intake, red meat intake,

physical activity, aspirin use

2001 ENTRED study

[31] France 2001 5 9101 (NR) 66 9101 (NR) Both Self-reported 44 (NR) M Age

Fedeli et al [19] Italy 2008 3 167621 (45.4) 30-89 167621 (45.4) Both

Regional archives

from subjects

exempt from

medical charges

due to diabetes

626 (22) M Age

NDSS (T1DM) [11] Australia 1997 12 80676 (48) 27.4 80676 (48) T1 National diabetes

registry 24 (21) M Age, calendar year

NHIS-NSC [29] Korea 2002-2003 9.7 29807 (48) NR 29807 (48) T2

Data from national

health insurance

database

359 (25) M Age

JPHC [30] Japan 1990, 1993 17.8 99584 (54) 50.2 4286 (36) Both Self-reported 403 (30) M

Age, BMI, alcohol intake,

smoking, Hx of hypertension,

phsical activity, area

(stratified)

Verona Diabetes Study

[7] Italy 1987 10 7148 (53) 67 7148 (53) Both

Medical records,

drug prescription

database

64 (38) M Age

Shen et al [28] China 1998-2001 10.9 66813 (66) 65- 9225 (66) Both Self-reported 676 (51) M

Age, alcohol use, smoking,

exercise, housing and monthly

expenditure, BMI

Fujino et al [61] Japan 1986-1989 10.3 4902 (50) 55.2 241 (30) T2 Self-reported 60 (22) M Age, alcohol, smoking, Hx of

hepatitis and cirrhosis

Page 19: Characteristics of the studies reporting on the ...MHS registry [4] Israel 2000 8 100595 (53) 61.6 16721 (47) Both Maccabi Healthcare Service database 307 (35) I Age, region, socio-economic

19

DECODE study [5]

Denmark,

Finland, Italy,

the

Netherlands,

Poland,

Sweden, UK

(17 cohorts)

1966-2004 15.8 44655 (41) 53.4 3759 (48) Both Measured 96 (23) M Age, cohort, BMI total

cholesterol, BP, smoking

JACC Study [62] Japan 1988-1990 9.9 96162 (58) 57.8 5280 (46) Both Self-reported 363 (28) M Age, institute (stratified)

Chiang et al [63] Taiwan 1998 8.9 50080 (53) 54 2820 (51) Both Self-reported 235 (31) M

Age, serum alanine

aminotransferase level, eGFR,

smoking, alcohol, physical

activity

a) RRs for diabetes present at study entry were extracted.

b) RRs for prevalent diabetes were extracted.

c) RRs for non-insulin-treated diabetes were extracted.

Gallbladder

Cohort Country Baseline

study (years)

Follow-u

p (years)

N

(% women)

Mean age

(years)

N of diabetes

(% women)

Type of

diabetes

Ascertainment of

diabetes

N of outcome

(% women) I or M

Maximum adjustment

available

Ragozzino et al [23] US 1945-1969 8.6 1135 (NR) NR 1135 (NR) Both Measured 2 (50) I Age

Berger et al [40] Denmark 1996-2011 12.6 4826142 (50) 41.4 65690 (47) Both

Discharge

diagnosis, claimed

prescription

NR I Age a)

NDSS (T1DM) [11] Australia 1997 12 80676 (48) 27.4 80676 (48) T1 National diabetes

registry

I: 6 (33)

M: 2 (50) I, M Age, calendar year

NDSS (T2DM) [11] Australia 1997 5.8 872706 (47) 60.4 872706 (47) T2 National diabetes

registry

I: 622 (50)

M: 226 (57) I, M Age, calendar year

Lin et al [13] Taiwan 1997-1998 11 9884228 (45) 20- 472979 (51) T2

National health

insurance research

database

9190 (43) I

Age, insurance premium,

urbanization degree of area

registered for National Health

Insurance program

Dankner et al [24] Israel 2002 11 2186196 (53) 21-89

159104 (53) (n

of prevalent

diabetes)

Both Diabetes registry 932 (56) I Age, ethnic origin,

socioeconomic status b)

Page 20: Characteristics of the studies reporting on the ...MHS registry [4] Israel 2000 8 100595 (53) 61.6 16721 (47) Both Maccabi Healthcare Service database 307 (35) I Age, region, socio-economic

20

Adami et al [56] Sweden 1965-1983 6.7 153852 (52) 62.9 153852 (52) Both

A hospital

discharge

diagnosis

I: 181 (79)

Mc): 263 (71) I, M Age

NIH-AARP Diet and

Health Study [10] US 1995-1996 11 494867 (40) 62.5 44726 (33) Both Self-reported 123 (53) I

Age, BMI, race/ethnicity,

education, marital status,

family Hx of cancer,

self-reported health status,

intake of red meat, white

meat, fruits, vegetables,

alcohol, and coffee, physical

activity, smoking,

multivitamin use

Wang et al [14] China 2007-2013 6 327268 (50) 59.8 327268 (50) Both Diabetes registry 87 (74) I Age, urbanization level

Sasazuki et al [17] c) Japan (8

cohorts) 1984-1994 9.9 339459 (54) 35-103 NR Both Self-reported 871 (53) I

Age, area, Hx of

cerebrocascular disease, CHD,

smoking, alcohol

consumption, BMI, physical

exercise, green leafy

vegetable consumption, coffee

intake

Chen et al [64] c) Taiwan 2000 7 1230403 (52) 60.0 615532 (52) Both National health

insurance database 1072 (56) I

Age, geographic area,

urbanization status,

cholecystitis, cholelithiasis,

choledocholithiasis, biliary

cirrhosis

Wideroff et al [1] c) Denmark 1977-1989 5.7 109581 (50) M: 64

W: 69 109581 (50) Both

Hospital discharge

diagnosis 120 (68) I Age, calendar year

MHS registry [4] d) Israel 2000 8 100595 (53) 61.6 16721 (47) Both

Maccabi

Healthcare Service

database

65 (54) I

Age, region, socio-economic

status, use of healthcare

services a year prior to index

date, BMI, history of CVD

Gini et al [49] Italy 2002-2009 3.7 32247 (45) 65 32247 (45) T2

Hospital

discharge,

exemption from

medical charges

because of

diabetes,

prescription

26 (54) I Age, year at cancer diagnosis

Verona Diabetes Study

[7] Italy 1987 10 7148 (53) 67 7148 (53) Both

Medical records,

drug prescription

database

14 (64) M Age

Page 21: Characteristics of the studies reporting on the ...MHS registry [4] Israel 2000 8 100595 (53) 61.6 16721 (47) Both Maccabi Healthcare Service database 307 (35) I Age, region, socio-economic

21

CPS II [18] US 1982 26 1053831 (56) NR 52655 (50) Both Self-reported 932 (62) M

Age, education, BMI,

smoking, alcohol, vagetable

intake, red meat intake,

physical activity, aspirin use

JACC study [65] Japan 1988-1990 9.7 113394 (58) 40-89 5498(46) Both Self-reported 96 (63) M Age

a) RRs for diabetes present at study entry were extracted.

b) RRs for prevalent diabetes were extracted.

Outcome was defined as c) bile duct or biliary tract, d) gallbladder and extrahepatic bile duct.

Cholangiocarcinoma

Cohort Country Baseline

study (years)

Follow-u

p (years)

N

(% women)

Mean age

(years)

N of diabetes

(% women)

Type of

diabetes

Ascertainment of

diabetes

N of outcome

(% women) I or M

Maximum adjustment

available

Tsai et al [66] Taiwan 1998-2010 7.1 3491279 (47) 58.5 1745804 (47) T2

Taiwan National

Health Insurance

Database

2196 (54) I

Age, urbanization, monthly

income, comorbidities of

choronic liver disease

Extrahepatic bile duct

Cohort Country Baseline

study (years)

Follow-u

p (years)

N

(% women)

Mean age

(years)

N of diabetes

(% women)

Type of

diabetes

Ascertainment of

diabetes

N of outcome

(% women) I or M

Maximum adjustment

available

Adami et al [56] Sweden 1965-1983 6.7 153852 (52) 62.9 153852 (52) Both

A hospital

discharge

diagnosis

60 (55) I Age

Ampulla of Vater

Cohort Country Baseline

study (years)

Follow-u

p (years)

N

(% women)

Mean age

(years)

N of diabetes

(% women)

Type of

diabetes

Ascertainment of

diabetes

N of outcome

(% women) I or M

Maximum adjustment

available

Page 22: Characteristics of the studies reporting on the ...MHS registry [4] Israel 2000 8 100595 (53) 61.6 16721 (47) Both Maccabi Healthcare Service database 307 (35) I Age, region, socio-economic

22

Adami et al [56] Sweden 1965-1983 6.7 153852 (52) 62.9 153852 (52) ALL

A hospital

discharge

diagnosis

19 (61) I Age

Pancreas

Cohort Country Baseline

study (years)

Follow-u

p (years)

N

(% women)

Mean age

(years)

N of diabetes

(% women)

Type of

diabetes

Ascertainment of

diabetes

N of outcome

(% women) I or M

Maximum adjustment

available

SMC, COSM [67] Sweden (2

cohorts) 1997 6.8 83053 (45) 61 NR Both

Self-reported,

Inpatient register 136 (45) I

Age (stratified), education,

BMI, physical activity,

smoking, alcohol consumption

Nilsen et al [68] Norway 1984-1986 9.8 63374 (51) 20- NR Both Self-reported 165 (42) I Age

Xu et al [21] China 2004 3.7 36379 (56) 59 36379 (56) T2 Diabetes registry 42 (43) I Age

NIH-AARP Diet and

Health Study [10] US 1995-1996 11 494867 (40) 62.5 44726 (33) Both Self-reported 1739 (36) I

Age, BMI, race/ethnicity,

education, marital status,

family Hx of cancer,

self-reported health status,

intake of red meat, white

meat, fruits, vegetables,

alcohol, and coffee, physical

activity, smoking,

multivitamin use

QResearch database

[3] UK 1998 16 4943482 (50) 44.6 a) 121797 (44) a) T2

Primary care

patients database 7119 (49) I

Age, BMI, smoking , chronic

pancreatitis, prior renal

cancer, prior blood cancer,

(for women prior breast

cancer, Townsend)

Carstensen et al [15]

Australia,

Denmark,

Finland,

Scotland,

Sweden

1987-2000 8-38

NR

3983000PY

(50)

NR NR T1

National diabetes

registry, Scottish

General

Acute/Inpatient

dataset

240 (39) I Age, date of follow up, date of

birth

Jee et al [20] Korea 1992-1995 10 1298385 (36) 46.9 62924 (33) Both Self-reported,

measured NR I, M Age, smoking, alcohol use

Lin et al [13] Taiwan 1997-1998 11 9884228 (45) 20- 472979 (51) T2

National Health

Insurance

Research Database

14131 (41) I

Age, insurance premium,

urbanization degree of area

registered for National Health

Insurance program

Page 23: Characteristics of the studies reporting on the ...MHS registry [4] Israel 2000 8 100595 (53) 61.6 16721 (47) Both Maccabi Healthcare Service database 307 (35) I Age, region, socio-economic

23

Berger et al [40] Denmark 1996-2011 12.6 4826142 (50) 41.4 65690 (47) Both

Discharge

diagnosis, claimed

prescription

NR I Age b)

Zhang et al [16] China 2002-2008 6 7950 (52) 61.1 7950 (52) T2 Diabetes registry 40 (45) I Age

DRT [26] Austria 2005 8.7 5709 (47) 57.4 5709 (47) T2 Diabetes registry 34 (47) I Age, period in 5-year period

groups

Dankner et al [24] Israel 2002 11 2186196 (53) 21-89

159104 (53) (n

of prevalent

diabetes)

Both Diabetes registry 3928 (50) I Age, ethnic origin,

socioeconomic status c)

Chow et al [69] Sweden 1965-1983 6.7 134096 (52) NR 134096 (52) Both

A hospital

discharge

diagnosis

650 (53) I Age

NDSS (T2DM) [11] Australia 1997 5.8 872706 (47) 60.4 872706 (47) T2 National diabetes

registry

I: 3404 (41)

M: 2737 (41) I, M Age, calendar year

Ragozzino et al [23] US 1945-1969 8.6 1135 (NR) NR 1135 (NR) Both Measured 9 (44) I Age

Walker et al [12] UK 2001-2007 7 80838 (45) 55-79 80838 (45) T2 Diabetes registry NR I Age, socioeconomic status

Diabetes II-to-Cancer

[42] Germany 2003 3.3 26742 (53) 64 26742 (53) T2

Physician's

diagnosis 49 (55) I Age

MHS registry [4] Israel 2000 8 100595 (53) 61.6 16721 (47) Both

Maccabi

Healthcare Service

database

217 (47) I

Age, region, socio-economic

status, use of healthcare

services a year prior to index

date, BMI, history of CVD

Wang et al [14] China 2007-2013 6 327268 (50) 59.8 327268 (50) Both Diabetes registry 540 (48) I Age, urbanization level

Gini et al [49] Italy 2002-2009 3.7 32247 (45) 65 32247 (45) T2

Hospital

discharge,

exemption from

medical charges

because of

diabetes,

prescription

115 (57) I Age, year at cancer diagnosis

Sasazuki et al [17] Japan (8

cohorts) 1984-1994 9.9 339459 (54) 35-103 NR Both Self-reported 1172 (49) I

Age, area, Hx of

cerebrocascular disease, CHD,

smoking, alcohol

consumption, BMI, physical

exercise, green leafy

vegetable consumption, coffee

intake

APCSC (Asia) [27] Asia (26

cohorts) d) 1961-1993 7 89468 (46) 45 4621 (45) Both

Self-reported,

measured 68 (38) M Age, BMI, alcohol, smoking

Page 24: Characteristics of the studies reporting on the ...MHS registry [4] Israel 2000 8 100595 (53) 61.6 16721 (47) Both Maccabi Healthcare Service database 307 (35) I Age, region, socio-economic

24

APCSC (ANZ) [27]

Australia,

New

Zealand

(9 cohorts)

1989-1996 7 82913 (52) 51 3365 (44) Both Self-reported,

measured 123 (46) M

Age, BMI, education, alcohol,

smoking

JPHC [30] Japan 1990, 1993 17.8 99584 (54) 50.2 4286 (36) Both Self-reported 425 (47) M

Age, BMI, alcohol intake,

smoking, Hx of hypertension,

phsical activity, area

(stratified)

JACC study [70] Japan 1988-1990 8.1 99527 (55) 57.3 NR Both Self-reported 196 (49) M Age, smoking in pack-years

NDSS (T1DM) [11] Australia 1997 12 80676 (48) 27.4 80676 (48) T1 National diabetes

registry 50 (28) M Age, calendar year

Shen et al [28] China 1998-2001 10.9 66813 (66) 65- 9225 (66) Both Self-reported 242 (61) M

Age, alcohol use, smoking,

exercise, housing and monthly

expenditure, BMI

NHIS-NSC [29] Korea 2002-2003 9.7 29807 (48) NR 29807 (48) T2

Data from national

health insurance

database

149 (40) M Age

Fedeli et al [19] Italy 2008 3 167621 (45.4) 30-89 167621 (45.4) Both

Regional archives

from subjects

exempt from

medical charges

due to diabetes

580 (41) M Age

CPS II [18] US 1982 26 1053831 (56) NR 52655 (50) Both Self-reported 7888 (50) M

Age, education, BMI,

smoking, alcohol, vagetable

intake, red meat intake,

physical activity, aspirin use

Forssas et al [6] Finland 2003 5

5147349 in

1997

5300484 in

2007

1-79

171596 (54) in

1997

84832 (49) in

2007

Both Diabetes registry NR M Age e)

DECODE study [5]

Denmark,

Finland, Italy,

the

Netherlands,

Poland,

Sweden, UK

(17 cohorts)

1966-2004 15.8 44655 (41) 53.4 3759 (48) Both Measured 259 (31) M Age, cohort, BMI total

cholesterol, BP, smoking

2001 ENTRED study

[31] France 2001 5 9101 (NR) 66 9101 (NR) Both Self-reported 35 (M) M Age

Verona Diabetes Study

[7] Italy 1987 10 7148 (53) 67 7148 (53) Both

Medical records,

drug prescription

database

35 (66) M Age

Page 25: Characteristics of the studies reporting on the ...MHS registry [4] Israel 2000 8 100595 (53) 61.6 16721 (47) Both Maccabi Healthcare Service database 307 (35) I Age, region, socio-economic

25

a) Derived from all derivation cohort.

b) RRs for diabetes present at study entry were extracted.

c) RRs for prevalent diabetes were extracted.

d) KMIC cohort was excluded.

e) RRs for non-insulin treated diabetes were extracted.

Retroperitoneum and peritoneum

Cohort Country Baseline

study (years)

Follow-u

p (years)

N

(% women)

Mean age

(years)

N of diabetes

(% women)

Type of

diabetes

Ascertainment of

diabetes

N of outcome

(% women) I or M

Maximum adjustment

available

Lin et al [13] Taiwan 1997-1998 11 9884228 (45) 20- 472979 (51) T2

National Health

Insurance

Research Database

2993 (52) NF

Age, insurance premium,

urbanization degree of area

registered for National Health

Insurance program

Lip, oral cavity, pharynx

Cohort Country Baseline

study (years)

Follow-u

p (years)

N

(% women)

Mean age

(years)

N of diabetes

(% women)

Type of

diabetes

Ascertainment of

diabetes

N of outcome

(% women) I or M

Maximum adjustment

available

Wideroff et al [1] Denmark 1977-1989 5.7 109581 (50) M: 64

W: 69 109581 (50) Both

Hospital discharge

diagnosis 172 (31) I Age, calendar year

Fedeli et al [19] Italy 2008 3 167621 (45.4) 30-89 167621 (45.4) Both

Regional archives

from subjects

exempt from

medical charges

due to diabetes

91 (16) M Age

CPS II [18] US 1982 26 1053831 (56) NR 52655 (50) Both Self-reported 1182 (32) M

Age, education, BMI,

smoking, alcohol, vagetable

intake, red meat intake,

physical activity, aspirin use

Page 26: Characteristics of the studies reporting on the ...MHS registry [4] Israel 2000 8 100595 (53) 61.6 16721 (47) Both Maccabi Healthcare Service database 307 (35) I Age, region, socio-economic

26

Head, neck

Cohort Country Baseline

study (years)

Follow-u

p (years)

N

(% women)

Mean age

(years)

N of diabetes

(% women)

Type of

diabetes

Ascertainment of

diabetes

N of outcome

(% women) I or M

Maximum adjustment

available

DRT [26] Austria 2005 8.7 5709 (47) 57.4 5709 (47) T2 Diabetes registry 16 (13) I Age, period in 5-year period

groups

MHS registry [4] Israel 2000 8 100595 (53) 61.6 16721 (47) Both

Maccabi

Healthcare Service

database

218 (36) I

Age, region, socio-economic

status, use of healthcare

services a year prior to index

date, BMI, history of CVD

Walker et al [12] UK 2001-2007 7 80838 (45) 55-79 80838 (45) T2 Diabetes registry NR I Age, socioeconomic status

Oral

Cohort Country Baseline

study (years)

Follow-u

p (years)

N

(% women)

Mean age

(years)

N of diabetes

(% women)

Type of

diabetes

Ascertainment of

diabetes

N of outcome

(% women) I or M

Maximum adjustment

available

Lin et al [13] Taiwan 1997-1998 11 9884228 (45) 20- 472979 (51) T2

National Health

Insurance

Research Database

39056 (15) I

Age, insurance premium,

urbanization degree of area

registered for National Health

Insurance program

NIH-AARP Diet and

Health Study [10] US 1995-1996 11 494867 (40) 62.5 44726 (33) Both Self-reported 1353 (26) I

Age, BMI, race/ethnicity,

education, marital status,

family Hx of cancer,

self-reported health status,

intake of red meat, white

meat, fruits, vegetables,

alcohol, and coffee, physical

activity, smoking,

multivitamin use

Nasopharynx

Page 27: Characteristics of the studies reporting on the ...MHS registry [4] Israel 2000 8 100595 (53) 61.6 16721 (47) Both Maccabi Healthcare Service database 307 (35) I Age, region, socio-economic

27

Cohort Country Baseline

study (years)

Follow-u

p (years)

N

(% women)

Mean age

(years)

N of diabetes

(% women)

Type of

diabetes

Ascertainment of

diabetes

N of outcome

(% women) I or M

Maximum adjustment

available

Wang et al [14] China 2007-2013 6 327268 (50) 59.8 327268 (50) Both Diabetes registry 84 (30) I Age, urbanization level

Lin et al [13] Taiwan 1997-1998 11 9884228 (45) 20- 472979 (51) T2

National Health

Insurance

Research Database

30752 (31) I

Age, insurance premium,

urbanization degree of area

registered for National Health

Insurance program

Larynx

Cohort Country Baseline

study (years)

Follow-u

p (years)

N

(% women)

Mean age

(years)

N of diabetes

(% women)

Type of

diabetes

Ascertainment of

diabetes

N of outcome

(% women) I or M

Maximum adjustment

available

Wideroff et al [1] Denmark 1977-1989 5.7 109581 (50) M: 64

F: 69 109581 (50) Both

Hospital discharge

diagnosis 66 (8) I Age, calendar year

Lin et al [13] Taiwan 1997-1998 11 9884228 (45) 20- 472979 (51) T2

National Health

Insurance

Research Database

8826 (16) I

Age, insurance premium,

urbanization degree of area

registered for National Health

Insurance program

Fedeli et al [19] Italy 2008 3 167621 (45.4) 30-89 167621 (45.4) Both

Regional archives

from subjects

exempt from

medical charges

due to diabetes

47 (2) M Age

Respiratory and intrathoratic organs

Cohort Country Baseline

study (years)

Follow-u

p (years)

N

(% women)

Mean age

(years)

N of diabetes

(% women)

Type of

diabetes

Ascertainment of

diabetes

N of outcome

(% women) I or M

Maximum adjustment

available

MHS registry [4] Israel 2000 8 100595 (53) 61.6 16721 (47) Both

Maccabi

Healthcare Service

database

673 (30) I

Age, region, socio-economic

status, use of healthcare

services a year prior to index

date, BMI, history of CVD

Page 28: Characteristics of the studies reporting on the ...MHS registry [4] Israel 2000 8 100595 (53) 61.6 16721 (47) Both Maccabi Healthcare Service database 307 (35) I Age, region, socio-economic

28

Lin et al [13] Taiwan 1997-1998 11 9884228 (45) 20- 472979 (51) T2

National Health

Insurance

Research Database

12528 (35) I

Age, insurance premium,

urbanization degree of area

registered for National Health

Insurance program

Forssas et al [6] Finland 2003 5

5147349 in

1997

5300484 in

2007

1-79

171596 (54) in

1997

284832 (49) in

2007

Both Diabetes Registry NR M Age a)

Verona Diabetes Study

[7] Italy 1987 10 7148 (53) 67 7148 (53) Both

Medical records,

drug prescription

database

130 (21) M Age

a) RRs for non-insulin-treated diabetes were extracted.

Lung

Cohort Country Baseline

study (years)

Follow-u

p (years)

N

(% women)

Mean age

(years)

N of diabetes

(% women)

Type of

diabetes

Ascertainment of

diabetes

N of outcome

(% women) I or M

Maximum adjustment

available

Berger et al [40] Denmark 1996-2011 12.6 4826142 (50) 41.4 65690 (47) Both

Discharge

diagnosis, claimed

prescription

NR I Age a)

DRT [26] Austria 2005 8.7 5709 (47) 57.4 5709 (47) T2 Diabetes registry 60 (25) I Age, period in 5-year period

groups

NIH-AARP Diet and

Health Study [10] US 1995-1996 11 494867 (40) 62.5 44726 (33) Both Self-reported 9783 (37) I

Age, BMI, race/ethnicity,

education, marital status,

family Hx of cancer,

self-reported health status,

intake of red meat, white

meat, fruits, vegetables,

alcohol, and coffee, physical

activity, smoking,

multivitamin use

Lin et al [13] Taiwan 1997-1998 11 9884228 (45) 20- 472979 (51) T2

National Health

Insurance

Research Database

89935 (33) I

Age, insurance premium,

urbanization degree of area

registered for National Health

Insurance program

Ragozzino et al [23] US 1945-1969 8.6 1135 (NR) NR 1135 (NR) Both Measured 12 (17) I Age

Page 29: Characteristics of the studies reporting on the ...MHS registry [4] Israel 2000 8 100595 (53) 61.6 16721 (47) Both Maccabi Healthcare Service database 307 (35) I Age, region, socio-economic

29

Hall et al [71] UK 1987-2000 8.5 334120 (NR) NR 66848 (47) Both Medical records 2659 (30) I Age, smoking

Carstensen et al [15]

Australia,

Denmark,

Finland,

Scotland,

Sweden

1987-2000 8-38

NR

3983000PY

(50)

NR NR T1

National diabetes

registry, Scottish

General

Acute/Inpatient

dataset

642 (42) I Age, date of follow up, date of

birth

Sasazuki et al [17] Japan (8

cohorts) 1984-1994 9.9 339459 (54) 35-103 NR Both Self-reported 3592 (27) I

Age, area, Hx of

cerebrocascular disease, CHD,

smoking, alcohol

consumption, BMI, physical

exercise, green leafy

vegetable consumption, coffee

intake

Diabetes II-to-Cancer

[42] Germany 2003 3.3 26742 (53) 64 26742 (53) T2

Physician's

diagnosis 163 (26) I Age

Dankner et al [24] Israel 2002 11 2186196 (53) 21-89 159104 (53) (n

of prevalent

diabetes)

Both Diabetes registry 10922 (33) I Age, ethnic origin,

socioeconomic status,

smoking b)

NDSS (T2DM) [11] Australia 1997 5.8 872706 (47) 60.4 872706 (47) T2 National diabetes

registry

I: 7652 (30)

M: 5078 (30) I, M Age, calendar year

Hsu et al [25] Taiwan 2000-2007 5.9 14619 (53) 50.2 14619 (53) T1

National Health

Insurance

Research Database

86 (41) I Age, calendar year

SMHS, SWHS [72] China

SMHS:2002-2

006,

SWHS:

1996-2000

SMHS:6.

3

SWHS:

12.2

133024 (55) 53.8 10890 (58) T2 Self-reported 1017 (52) I

Age, birth cohort, education,

income, BMI, occupation,

smoking status, smoking

pack-years, alcohol

drinking, family Hx of lung

cancer, total energy intake,

fruit intake, vegetable intale,

phsical activity, Hx of

hepatitis/chronic liver disease,

hormone replacement therapy

(for women), menopausal

status (for women)

Jee et al [20] Korea 1992-1995 10 1298385 (36) 46.9 62924 (33) Both Self-reported,

measured NR I, M Age, smoking, alcohol use

Adami et al [9] Sweden 1965-1983 5.2 51008 (55) NR 51008 (55) Both A hospital

discharge

diagnosis

152 (30) I Age

Wang et al [14] China 2007-2013 6 327268 (50) 59.8 327268 (50) Both Diabetes registry 1326 (35) I Age, urbanization level

Page 30: Characteristics of the studies reporting on the ...MHS registry [4] Israel 2000 8 100595 (53) 61.6 16721 (47) Both Maccabi Healthcare Service database 307 (35) I Age, region, socio-economic

30

ARIC [43] US 1990-1992 15 12792 (55) 56.9 1125 (56) Both Self-reported,

prescription

I: 352 (37)

M: 287 (37) I, M

Age, race/ethnicity, ARIC

study site, education, smoking

status, cigarette-years smoked,

BMI, waist circumference,

postmenopausal hormone use

(for women)

Zhang et al [16] China 2002-2008 6 7950 (52) 61.1 7950 (52) T2 Diabetes registry 66 (38) I Age

Xu et al [21] China 2004 3.7 36379 (56) 59 36379 (56) T2 Diabetes registry 118 (47) I Age

APCSC (Asia) [27] Asia (26

cohorts)c) 1961-1993 7 89468 (46) 45 4621 (45) Both

Self-reported,

Measured 490 (18) M Age, BMI, alcohol, smoking

APCSC (ANZ) [27]

Australia,

New

Zealand

(9 cohorts)

1989-1996 7 82913 (52) 51 3365 (44) Both Self-reported,

Measured 446 (29) M

Age, BMI, education, alcohol,

smoking

Piemonte Diabetes

Register, Turin

Longitudinal Study

[73]

Italy 1991-1999 7.7 906065 (NR) 20- 31264 (NR) Both Diabetes registry 5391 (20) M Age, area of birth

NHIS-NSC [29] Korea 2002-2003 9.7 29807 (48) NR 29807 (48) T2

Data from national

health insurance

database

348 (22) M Age

Adami et al [56] Sweden 1965-1983 6.7 153852 (52) 62.9 153852 (52) Both

A hospital

discharge

diagnosis

784 (24) M Age

Shen et al [28] China 1998-2001 10.9 66813 (66) ≥65 9225 (66) Both Self-reported 1957 (52) M

Age, alcohol use, smoking,

exercise, housing and monthly

expenditure, BMI

Fedeli et al [19] Italy 2008 3 167621 (45.4) 30-89 167621 (45.4) Both

Regional archives

from subjects

exempt from

medical charges

due to diabetes

1013 (20) M Age

CPS II [18] US 1982 26 1053831 (56) NR 52655 (50) Both Self-reported 30444 (39) M

Age, education, BMI,

smoking, alcohol, vagetable

intake, red meat intake,

physical activity, aspirin use

Forssas et al [6] Finland 2003 5

5147349 in

1997

5300484 in

2007

1-79

171596 (54) in

1997

284832 (49) in

2007

Both Diabetes registry NR M Age d)

Page 31: Characteristics of the studies reporting on the ...MHS registry [4] Israel 2000 8 100595 (53) 61.6 16721 (47) Both Maccabi Healthcare Service database 307 (35) I Age, region, socio-economic

31

NDSS (T1DM) [11] Australia 1997 12 80676 (48) 27.4 80676 (48) T1 National diabetes

registry 83 (35) M Age, calendar year

DECODE study [5]

Denmark,

Finland, Italy,

the

Netherlands,

Poland,

Sweden, UK

(17 cohorts)

1966-2004 15.8 44655 (41) 53.4 3759 (48) Both Measured 740 (18) M Age, cohort, BMI total

cholesterol, BP, smoking

JPHC [30] Japan 1990, 1993 17.8 99584 (54) 50.2 4286 (36) Both Self-reported 1063 (22) M

Age, BMI, alcohol intake,

smoking, Hx of hypertension,

phsical activity, area

(stratified)

2001 ENTRED study

[31] France 2001 5 9101 (NR) 66 9101 (NR) Both Self-reported 73 (NR) M Age

Verona Diabetes Study

[7] Italy 1987 10 7148 (53) 67 7148 (53) Both

Medical records,

drug prescription

database

118 (20) M Age

a) RRs for diabetes present at study entry were extracted.

b) RRs for prevalent diabetes were extracted.

c) KMIC cohort was excluded.

d) RRs for non-insulin-treated diabetes were extracted.

Kidney and urinary tract

Cohort Country Baseline

study (years)

Follow-u

p (years)

N

(% women)

Mean age

(years)

N of diabetes

(% women)

Type of

diabetes

Ascertainment of

diabetes

N of outcome

(% women) I or M

Maximum adjustment

available

QResearch database

[3] UK 1998 16 4938135 (51) 44.6 a) 121797 (44) a) T2

Primary care

patients database 23091 (29) I

Age, BMI, smoking, prior

lung cancer, prior blood

cancer, prior brain cancer, (for

men prior prostate cancer),

(for women prior uterine

cancer, prior ovarian cancer,

prior cervical cancer,

Townsend)

Page 32: Characteristics of the studies reporting on the ...MHS registry [4] Israel 2000 8 100595 (53) 61.6 16721 (47) Both Maccabi Healthcare Service database 307 (35) I Age, region, socio-economic

32

MHS registry [4] Israel 2000 8 100595 (53) 61.6 16721 (47) Both

Maccabi

Healthcare Service

database

905 (23) I

Age, region, socio-economic

status, use of healthcare

services a year prior to index

date, BMI, history of CVD

Verona Diabetes Study

[7] Italy 1987 10 7148 (53) 67 7148 (53) Both

Medical records,

drug prescription

database

47 (21) M Age

Forssas et al [6] Finland 2003 5

5147349 in

1997

5300484 in

2007

1-79

171596 (54) in

1997

284832 (49) in

2007

Both Diabetes Registry NR M Age b)

DECODE study [5]

Denmark,

Finland,

Italy, the

Netherlands

, Poland,

Sweden,

UK (17

cohorts)

1966-2004 15.8 44655 (41) 53.4 3759 (48) Both Measured 180 (20) M Age, cohort, BMI, SBP, total

cholesterol, smoking

a) Derived from the all derivation cohort

b) RRs for non-insulin-treated diabetes were extracted.

Kidney

Cohort Country Baseline

study (years)

Follow-u

p (years)

N

(% women)

Mean age

(years)

N of diabetes

(% women)

Type of

diabetes

Ascertainment of

diabetes

N of outcome

(% women) I or M

Maximum adjustment

available

Sasazuki et al [17] Japan (8

cohorts) 1984-1994 9.9 339459 (54) 35-103 NR Both Self-reported 234 (26) I

Age, area, Hx of

cerebrocascular disease, CHD,

smoking, alcohol

consumption, BMI, physical

exercise, green leafy

vegetable consumption, coffee

intake

DRT [26] Austria 2005 8.7 5709 (47) 57.4 5709 (47) T2 Diabetes registry 29 (34) I Age, period in 5-year period

groups

Xu et al [21] China 2004 3.7 36379 (56) 59 36379 (56) T2 Diabetes registry 25 (36) I Age

Zhang et al [16] China 2002-2008 6 7950 (52) 61.1 7950 (52) T2 Diabetes registry 15 (40) I Age

Page 33: Characteristics of the studies reporting on the ...MHS registry [4] Israel 2000 8 100595 (53) 61.6 16721 (47) Both Maccabi Healthcare Service database 307 (35) I Age, region, socio-economic

33

Berger et al [40] Denmark 1996-2011 12.6 4826142 (50) 41.4 65690 (47) Both

Discharge

diagnosis, claimed

prescription

NR I Age a)

MEC [74] US 1993-1996 8.3 161126 (53) 59.0 NR Both Self-reported 347 (37) I

Age, ethnicity (stratified),

BMI, smoking, alcohol

drinking, HT, physical activity

NIH-AARP Diet and

Health Study [10] US 1995-1996 11 494867 (40) 62.5 44726 (33) Both Self-reported 2111 (26) I

Age, BMI, race/ethnicity,

education, marital status,

family Hx of cancer,

self-reported health status,

intake of red meat, white

meat, fruits, vegetables,

alcohol, and coffee, physical

activity, smoking,

multivitamin use

Lin et al [13] Taiwan 1997-1998 11 9884228 (45) 20- 472979 (51) T2

National Health

Insurance

Research Database

19831 (42) I

Age, insurance premium,

urbanization degree of area

registered for National Health

Insurance program

Wang et al [14] China 2007-2013 6 327268 (50) 59.8 327268 (50) Both Diabetes registry 118 (38) I Age, urbanization level

Carstensen et al [15]

Australia,

Denmark,

Finland,

Scotland,

Sweden

1987-2000 8-38

NR

3983000PY

(50)

NR NR T1

National diabetes

registry, Scottish

General

Acute/Inpatient

dataset

305 (39) I Age, date of follow up, date of

birth

NDSS (T2DM) [11] Australia 1997 5.8 872706 (47) 60.4 872706 (47) T2 National diabetes

registry

I: 2440 (32)

M: 750 (34) I, M Age, calendar year

Lindblad et al [75] Sweden 1965-1983 6.7 153852 (52) 62.9 153852 (52) Both Swedish Inpatient

Register

I: 337 (48)

M: NR I, M

Age, calendar year of

observation

Walker et al [12] UK 2001-2007 7 80838 (45) 55-79 80838 (45) T2 Diabetes registry NR I Age, socioeconomic status

Dankner et al [24] Israel 2002 11 2186196 (53) 21-89

159104 (53) (n

of prevalent

diabetes)

Both Diabetes registry 3941 (37) I Age, ethnic origin,

socioeconomic status b)

Page 34: Characteristics of the studies reporting on the ...MHS registry [4] Israel 2000 8 100595 (53) 61.6 16721 (47) Both Maccabi Healthcare Service database 307 (35) I Age, region, socio-economic

34

Gini et al [49] Italy 2002-2009 3.7 32247 (45) 65 32247 (45) T2

Hospital

discharge,

exemption from

medical charges

because of

diabetes,

prescription

84 (31) I Age, year at cancer diagnosis

APCSC (Asia) [27] Asia (27

cohorts) 1961-1993 7 273048 (40) 45 17763 (23) Both

Self-reported,

Measured 27 (19) M Age, BMI, alcohol, smoking

Verona Diabetes Study

[7] Italy 1987 10 7148 (53) 67 7148 (53) Both

Medical records,

drug prescription

database

19 (21) M Age

NDSS (T1DM) [11] Australia 1997 12 80676 (48) 27.4 80676 (48) T1 National diabetes

registry 18 (17) M Age, calendar year

JACC Study [76] Japan 1988-1990 13.1 110788 (58) 40-79 NR Both Self-reported 66 (30) M Age, smoking, drinking

Fedeli et al [19] Italy 2008 3 167621 (45.4) 30-89 167621 (45.4) Both

Regional archives

from subjects

exempt from

medical charges

due to diabetes

104 (32) M Age

CPS II [18] US 1982 26 1053831 (56) NR 52655 (50) Both Self-reported 2778 (38) F

Age, education, BMI,

smoking, alcohol, vagetable

intake, red meat intake,

physical activity, aspirin use

a) RRs for diabetes present at study entry were extracted.

b) RRs for prevalent diabetes were extracted.

Bladder

Cohort Country Baseline

study (years)

Follow-u

p (years)

N

(% women)

Mean age

(years)

N of diabetes

(% women)

Type of

diabetes

Ascertainment of

diabetes

N of outcome

(% women) I or M

Maximum adjustment

available

DRT [26] Austria 2005 8.7 5709 (47) 57.4 5709 (47) T2 Diabetes registry 20 (20) I Age, period in 5-year period

groups

Adami et al [9] Sweden 1965-1983 5.2 51008 (55) NR 51008 (55) ALL Hospital discharge

diagnosis 98 (29) I Age

Page 35: Characteristics of the studies reporting on the ...MHS registry [4] Israel 2000 8 100595 (53) 61.6 16721 (47) Both Maccabi Healthcare Service database 307 (35) I Age, region, socio-economic

35

UK Clinical Practice

Research Datalink

(CPRD) [77]

UK 1987 5.8 408588 a) (47 b))

58 298345 c) (46 d)) Both Medical records,

prescription 1473 (18 c)) I Age, smoking, BMI

Dankner et al [24] Israel 2002 11 2186196 (53) 21-89 159104 (53) (n

of prevalent

diabetes)

Both Diabetes registry 6580 (18) I Age, ethnic origin,

socioeconomic status e)

Zhang et al [16] China 2002-2008 6 7950 (52) 61.1 7950 (52) T2 Diabetes registry 5 (20) I Age

NDSS (T2DM) [11] Australia 1997 5.8 872706 (47) 60.4 872706 (47) T2 National diabetes

registry

I: 1990 (19)

M: 525 (25) I, M Age, calendar year

NIH-AARP Diet and

Health Study [10] US 1995-1996 11 494867 (40) 62.5 44726 (33) Both Self-reported 4331 (15) I

Age, BMI, race/ethnicity,

education, marital status,

family Hx of cancer,

self-reported health status,

intake of red meat, white

meat, fruits, vegetables,

alcohol, and coffee, physical

activity, smoking,

multivitamin use

Carstensen et al [15]

Australia,

Denmark,

Finland,

Scotland,

Sweden

1987-2000 8-38

NR

3983000PY

(50)

NR NR T1

National diabetes

registry, Scottish

General

Acute/Inpatient

dataset

279 (24) I Age, date of follow up, date of

birth

Wang et al [14] China 2007-2013 6 327268 (50) 59.8 327268 (50) Both Diabetes registry 158 (22) I Age, urbanization level

Lin et al [13] Taiwan 1997-1998 11 9884228 (45) 20- 472979 (51) T2

National Health

Insurance

Research Database

21754 (33) I

Age, insurance premium,

urbanization degree of area

registered for National Health

Insurance program

CPS II Nutrition

Cohort [78] US 1992-1993 11.9 172791 (53) NR 12863 (45) T2 Self-reported 1852 (19) I

Age (stratified), ecucation,

BMI, physical activity,

alcohol use

Walker et al [12] UK 2001-2007 7 80838 (45) 55-79 80838 (45) T2 Diabetes registry NR I Age, socioeconomic status

Sasazuki et al [17] Japan (8

cohorts) 1984-1994 9.9 339459 (54) 35-103 NR Both Self-reported 632 (16) I

Age, area, Hx of

cerebrocascular disease, CHD,

smoking, alcohol

consumption, BMI, physical

exercise, green leafy

vegetable consumption, coffee

intake

Page 36: Characteristics of the studies reporting on the ...MHS registry [4] Israel 2000 8 100595 (53) 61.6 16721 (47) Both Maccabi Healthcare Service database 307 (35) I Age, region, socio-economic

36

Gini et al [49] Italy 2002-2009 3.7 32247 (45) 65 32247 (45) T2

Hospital

discharge,

exemption from

medical charges

because of

diabetes,

prescription

107 (14) I Age, year at cancer diagnosis

CPS II [18] US 1982 26 1053831 (56) NR 52655 (50) Both Self-reported 2909 (28) M

Age, education, BMI,

smoking, alcohol, vagetable

intake, red meat intake,

physical activity, aspirin use

Fedeli et al [19] Italy 2008 3 167621 (45.4) 30-89 167621 (45.4) Both

Regional archives

from subjects

exempt from

medical charges

due to diabetes

123 (18) M Age

Verona Diabetes Study

[7] Italy 1987 10 7148 (53) 67 7148 (53) Both

Medical records,

drug prescription

database

28 (21) M Age

NDSS (T1DM) [11] Australia 1997 12 80676 (48) 27.4 80676 (48) T1 National diabetes

registry 6 (50) M Age, calendar year

a) Derived from incident T2DM and control.

b) Derived from total cohort.

c) Derived from T2DM.

d) Derived from T1DM and T2DM

e) RRs for prevalent diabetes were extracted.

Lower urinary tract

Cohort Country Baseline

study (years)

Follow-u

p (years)

N

(% women)

Mean age

(years)

N of diabetes

(% women)

Type of

diabetes

Ascertainment of

diabetes

N of outcome

(% women) I or M

Maximum adjustment

available

MEC [79] a) US 1993-1996 10.7 185816 (55) 60.4 21838 (52) Both Self-reported 918 (24) I

Age, ethnicity (stratified),

smoking status, smoking

intensity and duration,

employment in a high risk

industry

Page 37: Characteristics of the studies reporting on the ...MHS registry [4] Israel 2000 8 100595 (53) 61.6 16721 (47) Both Maccabi Healthcare Service database 307 (35) I Age, region, socio-economic

37

Berger et al [40] b) Denmark 1996-2011 12.6 4826142 (50) 41.4 65690 (47) Both

Discharge

diagnosis, claimed

prescription

NR I Age

Outcome was defined as a) transitional cell carcinomas of the urinary tract (bladder, renal pelvis, ureter, other urinary organs), b) lower urinary tract.

Lymphatic and haematopoietic tissue

Cohort Country Baseline

study (years)

Follow-u

p (years)

N

(% women)

Mean age

(years)

N of diabetes

(% women)

Type of

diabetes

Ascertainment of

diabetes

N of outcome

(% women) I or M

Maximum adjustment

available

QResearch database

[3] UK 1998 16 4933555 (51) 44.6 a) 121797 (44) a) T1

Primary care

patients database 25444 (44) I

Age, BMI, smoking, pamily

Hx of blood cancer, prior

brain cancer, prior ovarian

cancer, prior renal cancer

Adami et al [9] Sweden 1965-1983 5.2 51008 (55) NR 51008 (55) Both

A hospital

discharge

diagnosis

156 (49) I Age

Wideroff et al [1] Denmark 1977-1989 5.7 109581 (50) M: 64

W: 69 109581 (50) Both

Hospital discharge

diagnosis 511 (47) I Age, calendar year

Dankner et al [24] Israel 2002 11 2186196 (53) 21-89

159104 (53) (n

of prevalent

diabetes)

Both Diabetes registry 3454 (44) I Age, ethnic origin,

socioeconomic status b)

MHS registry [4] Israel 2000 8 100595 (53) 61.6 16721 (47) Both

Maccabi

Healthcare Service

database

833 (45) I

Age, region, socio-economic

status, use of healthcare

services a year prior to index

date, BMI, Hx of CVD

Inoue et al [80] Japan 1990-1994 10.7 97771 (52) 51.6 4668 (34) Both Self-reported 174 (46) I

Age, study area, Hx of

cerebrovascular diseae, Hx of

IHD, smoking, ethanol intake,

BMI, physical activity, green

vegetable intake, coffee intake

DRT [26] Austria 2005 8.7 5709 (47) 57.4 5709 (47) T2 Diabetes registry 47 (55) I Age, period in 5-year period

groups

Forssas et al [6] Finland 2003 5

5147349 in

1997

5300484 in

2007

1-79

171596 (54) in

1997

284832 (49) in

2007

ALL Diabetes Registry NR M Age c)

a) Derived from the all derivation cohort.

Page 38: Characteristics of the studies reporting on the ...MHS registry [4] Israel 2000 8 100595 (53) 61.6 16721 (47) Both Maccabi Healthcare Service database 307 (35) I Age, region, socio-economic

38

b) RRs for diabetes present at study entry were extracted.

c) RRs for non-insulin-treated diabetes were extracted.

Lymphoma

Cohort Country Baseline

study (years)

Follow-u

p (years)

N

(% women)

Mean age

(years)

N of diabetes

(% women)

Type of

diabetes

Ascertainment of

diabetes

N of outcome

(% women) I or M

Maximum adjustment

available

Wideroff et al [1] Denmark 1977-1989 5.7 109581 (50) M: 64

W: 69 109581 (50) Both

Hospital discharge

diagnosis 205 (47) I Age, calendar year

Ragozzino et al [23] US 1945-1969 8.6 1135 (NR) NR 1135 (NR) Both Measured 12 (58) I Age

Sasazuki et al [17] Japan (8

cohorts) 1984-1994 9.9 339459 (54) 35-103 NR Both Self-reported 247 (47) I

Age, area, Hx of

cerebrocascular disease, CHD,

smoking, alcohol

consumption, BMI, physical

exercise, green leafy

vegetable consumption, coffee

intake

Non-Hodgkin’s lymphoma

Cohort Country Baseline

study (years)

Follow-u

p (years)

N

(% women)

Mean age

(years)

N of diabetes

(% women)

Type of

diabetes

Ascertainment of

diabetes

N of outcome

(% women) I or M

Maximum adjustment

available

JACC study [81] Japan 1988-1990 8.0 56881 (59) 40-79 3307 (47) Both Self-reported 47 (40) I Age, BMI, smoking, drinking

EPIC [82]

Denmark,

France,

Germany,

Greece,

Italy,

Netherlands

, Norway,

Spain,

Sweden,

UK

1992-2000 8.5 393477 (65) 50.9 11139 (54) Both Self-reported 1213 (51) I Age (stratified), study center

(stratified), smoking, BMI

Page 39: Characteristics of the studies reporting on the ...MHS registry [4] Israel 2000 8 100595 (53) 61.6 16721 (47) Both Maccabi Healthcare Service database 307 (35) I Age, region, socio-economic

39

Wang et al [14] China 2007-2013 6 327268 (50) 59.8 327268 (50) Both Diabetes registry 61 (33) I Age, urbanization level

Carstensen et al [15]

Australia,

Denmark,

Finland,

Scotland,

Sweden

1987-2000 8-38

NR

3983000PY

(50)

NR NR T1

National diabetes

registry, Scottish

General

Acute/Inpatient

dataset

387 (37) I Age, date of follow up, date of

birth

SMHS, SWHS [83] China

SMHS:

2002-2006

SWHS:

1997-2000

SMHS:

7.4

SWHS:

12.9

133097 (55) 53.8 10902 (58) T2 Self-reported 172 (64) I

Age, birth cohort, education,

income, BMI, occupation,

ever smoking, alcohol

drinking, family Hx of cancer,

total energy intake, fruit

intake, vegetable intake, total

physical activity, hormone

replacement therapy (for

women), menopausal status

(for women)

MEC [84] US 1993-1996 10 193050 (55) 45-75 NR Both Self-reported 939 (45) I Age, ethnicity, education,

BMI, alcohol intake

Dankner et al [24] Israel 2002 11 2186196 (53) 21-89

159104 (53) (n

of prevalent

diabetes)

Both Diabetes registry 6473 (50) I Age, ethnic origin,

socioeconomic status a)

Weiderpass et al [85] Sweden 1965-1983 6.7 134098 (52) NR 134098 (52) Both Hospital discharge

diagnosis 237 (46) I Age

NIH-AARP Diet and

Health Study [10] US 1995-1996 11 494867 (40) 62.5 44726 (33) Both Self-reported 2910 (35) I

Age, BMI, race/ethnicity,

education, marital status,

family Hx of cancer,

self-reported health status,

intake of red meat, white

meat, fruits, vegetables,

alcohol, and coffee, physical

activity, smoking,

multivitamin use

NDSS (T2DM) [11] Australia 1997 5.8 872706 (47) 60.4 872706 (47) T2 National diabetes

registry

I: 2845 (41)

M: 978 (42) I, M Age, calendar year

Walker et al [12] UK 2001-2007 7 80838 (45) 55-79 80838 (45) T2 Diabetes registry NR I Age, socioeconomic status

CPS II [18] US 1982 26 1053831 (56) NR 52655 (50) Both Self-reported 5774 (47) M

Age, education, BMI,

smoking, alcohol, vagetable

intake, red meat intake,

physical activity, aspirin use

Page 40: Characteristics of the studies reporting on the ...MHS registry [4] Israel 2000 8 100595 (53) 61.6 16721 (47) Both Maccabi Healthcare Service database 307 (35) I Age, region, socio-economic

40

Fedeli et al [19] Italy 2008 3 167621 (45.4) 30-89 167621 (45.4) Both

Regional archives

from subjects

exempt from

medical charges

due to diabetes

128 (40) M Age

NDSS (T1DM [11] Australia 1997 12 80676 (48) 27.4 80676 (48) T1 National diabetes

registry 30 (37) M Age, calendar year

a) RRs for diabetes present at study entry were extracted.

Hodgkin’s lymphoma

Cohort Country Baseline

study (years)

Follow-u

p (years)

N

(% women)

Mean age

(years)

N of diabetes

(% women)

Type of

diabetes

Ascertainment of

diabetes

N of outcome

(% women) I or M

Maximum adjustment

available

NDSS (T2DM) [11] Australia 1997 5.8 872706 (47) 60.4 872706 (47) T2 National diabetes

registry

I: 188 (40)

M: 57 (37) I, M Age, calendar year

NDSS (T1DM) [11] Australia 1997 12 80676 (48) 27.4 80676 (48) T1 National diabetes

registry 2 (50) M Age, calendar year

Shu et al [8] Sweden 1964-2006 17 24052 (47) 11.2 24052 (47) T1 Hospital discharge

register 6 (17) I

Age, period of diagnosis,

region

Carstensen et al [15]

Australia,

Denmark,

Finland,

Scotland,

Sweden

1987-2000 8-38

NR 3983000

person years

(50)

NR NR T1

National diabetes

registry, Scottish

General

Acute/Inpatient

dataset

80 (30) I Age, date of follow up, date of

birth

Lin et al [13] Taiwan 1997-1998 11 9884228 (45) 20- 472979 (51) T2

National Health

Insurance

Research Database

1500 (42) I

Age, insurance premium,

urbanization degree of area

registered for National Health

Insurance program

Multiple myeloma

Cohort Country Baseline

study (years)

Follow-u

p (years)

N

(% women)

Mean age

(years)

N of diabetes

(% women)

Type of

diabetes

Ascertainment of

diabetes

N of outcome

(% women) I or M

Maximum adjustment

available

Page 41: Characteristics of the studies reporting on the ...MHS registry [4] Israel 2000 8 100595 (53) 61.6 16721 (47) Both Maccabi Healthcare Service database 307 (35) I Age, region, socio-economic

41

EPIC [82]

Denmark,

France,

Germany,

Greece,

Italy,

Netherlands

, Norway,

Spain,

Sweden,

UK

1992-2000 8.5 393477 (65) 50.9 11139 (54) Both Self-reported 281 (48) I Age (stratified), study center

(stratified)

Carstensen et al [15]

Australia,

Denmark,

Finland,

Scotland,

Sweden

1987-2000 8-38

NR 3983000

person years

(50)

NR NR T1

National diabetes

registry, Scottish

General

Acute/Inpatient

dataset

81 (35) I Age, date of follow up, date of

birth

Dankner et al [24] Israel 2002 11 2186196 (53) 21-89

159104 (53) (n

of prevalent

diabetes)

Both Diabetes registry 2134 (45) I Age, ethnic origin,

socioeconomic status a)

NIH-AARP Diet and

Health Study [10] US 1995-1996 11 494867 (40) 62.5 44726 (33) Both Self-reported 898 (32) I

Age, BMI, race/ethnicity,

education, marital status,

family Hx of cancer,

self-reported health status,

intake of red meat, white

meat, fruits, vegetables,

alcohol, and coffee, physical

activity, smoking,

multivitamin use

NDSS (T2DM) [11] Australia 1997 5.8 872706 (47) 60.4 872706 (47) T2 National diabetes

registry

I: 1013 (39)

M: 434 (35) I, M Age, calendar year

Wideroff et al [1] Denmark 1977-1989 5.7 109581 (50) M: 64

W: 69 109581 (50) Both

Hospital discharge

diagnosis 100 (52) I Age, calendar year

Ragozzino et al [23] US 1945-1969 8.6 1135 (NR) NR 1135 (NR) Both Measured 3 (67) I Age

CPS II [18] US 1982 26 1053831 (56) NR 52655 (50) Both Self-reported 3027 (48) M

Age, education, BMI,

smoking, alcohol, vagetable

intake, red meat intake,

physical activity, aspirin use

Fedeli et al [19] Italy 2008 3 167621 (45.4) 30-89 167621 (45.4) Both

Regional archives

from subjects

exempt from

medical charges

due to diabetes

83 (48) M Age

Page 42: Characteristics of the studies reporting on the ...MHS registry [4] Israel 2000 8 100595 (53) 61.6 16721 (47) Both Maccabi Healthcare Service database 307 (35) I Age, region, socio-economic

42

a) RRs for prevalent diabetes were extracted.

Leukaemia

Cohort Country Baseline

study (years)

Follow-u

p (years)

N

(% women)

Mean age

(years)

N of diabetes

(% women)

Type of

diabetes

Ascertainment of

diabetes

N of outcome

(% women) I or M

Maximum adjustment

available

Wideroff et al [1] Denmark 1977-1989 5.7 109581 (50) M: 64

W: 69 109581 (50) Both

Hospital discharge

diagnosis 206 (44) I Age, calendar year

Lin et al [13] Taiwan 1997-1998 11 9884228 (45) 20- 472979 (51) T2

National Health

Insurance

Research Database

10028 (42) I

Age, insurance premium,

urbanization degree of area

registered for National Health

Insurance program

Zhang et al [16] China 2002-2008 6 7950 (52) 61.1 7950 (52) T2 Diabetes registry 17 (59) I Age

Carstensen et al [15]

Australia,

Denmark,

Finland,

Scotland,

Sweden

1987-2000 8-38

NR

3983000PY

(50)

NR NR T1

National diabetes

registry, Scottish

General

Acute/Inpatient

dataset

190 (45) I Age, date of follow up, date of

birth

Ragozzino et al [23] US 1945-1969 8.6 1135 (NR) NR 1135 (NR) Both Measured 5 (40) I Age

Shu et al [8] Sweden 1964-2006 17 24052 (47) 11.2 24052 (47) T1 Hospital

Discharge Register 19 (58) I

Age, period of diagnosis,

region

APCSC (Asia) [27] Asia (27

cohorts) 1961-1993 7 273048 (40) 45 17763 (23) Both

Self-reported,

Measured 56 (23) M Age, BMI, alcohol, smoking

APCSC (ANZ) [27]

Australia,

New

Zealand

(9 cohorts)

1989-1996 7 82913 (52) 51 3365 (44) Both Self-reported,

Measured 96 (42) M

Age, BMI, education, alcohol,

smoking

CPS II [18] US 1982 26 1053831 (56) NR 52655 (50) Both Self-reported 5479 (42) M

Age, education, BMI,

smoking, alcohol, vagetable

intake, red meat intake,

physical activity, aspirin use

Fedeli et al [19] Italy 2008 3 167621 (45.4) 30-89 167621 (45.4) Both

Regional archives

from subjects

exempt from

medical charges

due to diabetes

144 (43) M Age

Page 43: Characteristics of the studies reporting on the ...MHS registry [4] Israel 2000 8 100595 (53) 61.6 16721 (47) Both Maccabi Healthcare Service database 307 (35) I Age, region, socio-economic

43

Lymphatic leukaemia

Cohort Country Baseline

study (years)

Follow-u

p (years)

N

(% women)

Mean age

(years)

N of diabetes

(% women)

Type of

diabetes

Ascertainment of

diabetes

N of outcome

(% women) I or M

Maximum adjustment

available

NIH-AARP Diet and

Health Study [10] US 1995-1996 11 494867 (40) 62.5 44726 (33) Both Self-reported 855 (26) I

Age, BMI, race/ethnicity,

education, marital status,

family Hx of cancer,

self-reported health status,

intake of red meat, white

meat, fruits, vegetables,

alcohol, and coffee, physical

activity, smoking,

multivitamin use

Shu et al [8] a) Sweden 1964-2006 17 24052 (47) 11.2 24052 (47) T1 Hospital discharge

register 8 (63) I

Age, period of diagnosis,

region

a) Outcome was defined as acute lymphatic leukaemia.

Myeloid and monocytic leukaemia

Cohort Country Baseline

study (years)

Follow-u

p (years)

N

(% women)

Mean age

(years)

N of diabetes

(% women)

Type of

diabetes

Ascertainment of

diabetes

N of outcome

(% women) I or M

Maximum adjustment

available

NIH-AARP Diet and

Health Study [10] US 1995-1996 11 494867 (40) 62.5 44726 (33) Both Self-reported 696 (26) I

Age, BMI, race/ethnicity,

education, marital status,

family Hx of cancer,

self-reported health status,

intake of red meat, white

meat, fruits, vegetables,

alcohol, and coffee, physical

activity, smoking,

multivitamin use

Page 44: Characteristics of the studies reporting on the ...MHS registry [4] Israel 2000 8 100595 (53) 61.6 16721 (47) Both Maccabi Healthcare Service database 307 (35) I Age, region, socio-economic

44

Myeloid leukaemia

Cohort Country Baseline

study (years)

Follow-u

p (years)

N

(% women)

Mean age

(years)

N of diabetes

(% women)

Type of

diabetes

Ascertainment of

diabetes

N of outcome

(% women) I or M

Maximum adjustment

available

NDSS (T2DM) [11] Australia 1997 5.8 872706 (47) 60.4 872706 (47) T2 National diabetes

registry

AML

I: 641 (34)

M: 463 (37)

CML

I: 233 (35)

M: 62 (42)

I, M Age, calendar year

NDSS (T1DM) [11] Australia 1997 12 80676 (48) 27.4 80676 (48) T1 National diabetes

registry

AML

I: 15 (53)

M: 6 (67)

CML

I: 12 (33)

I, M Age, calendar year

Abbreviations: AML, acute myeloid leukaemia; CML, chronic myeloid leukaemia.

Skin

Cohort Country Baseline

study (years)

Follow-u

p (years)

N

(% women)

Mean age

(years)

N of diabetes

(% women)

Type of

diabetes

Ascertainment of

diabetes

N of outcome

(% women) I or M

Maximum adjustment

available

MHS registry [4] Israel 2000 8 100595 (53) 61.6 16721 (47) Both

Maccabi

Healthcare Service

database

Skin

471 (42) I

Age, region, socio-economic

status, use of healthcare

services a year prior to index

date, BMI, history of CVD

NIH-AARP Diet and

Health Study [10] US 1995-1996 11 494867 (40) 62.5 44726 (33) Both Self-reported

Skin

5146 (26) I

Age, BMI, race/ethnicity,

education, marital status,

family Hx of cancer,

self-reported health status,

intake of red meat, white

meat, fruits, vegetables,

alcohol, and coffee, physical

activity, smoking,

multivitamin use

Wang et al [14] China 2007-2013 6 327268 (50) 59.8 327268 (50) Both Diabetes registry Skin

60 (50) I Age, urbanization level

Page 45: Characteristics of the studies reporting on the ...MHS registry [4] Israel 2000 8 100595 (53) 61.6 16721 (47) Both Maccabi Healthcare Service database 307 (35) I Age, region, socio-economic

45

Lin et al [13] Taiwan 1997-1998 11 9884228 (45) 20- 472979 (51) T2

National Health

Insurance

Research Database

Melanoma

3258 (45) I

Age, insurance premium,

urbanization degree of area

registered for National Health

Insurance program

Adami et al [9] Sweden 1965-1983 5.2 51008 (55) NR 51008 (55) Both

A hospital

discharge

diagnosis

Melanoma

25 (48)

Non-melanoma

69 (48)

I Age

Walker et al [12] UK 2001-2007 7 80838 (45) 55-79 80838 (45) T2 Diabetes registry Menanoma

NR I Age, socioeconomic status

Carstensen et al [15]

Australia,

Denmark,

Finland,

Scotland,

Sweden

1987-2000 8-38

NR

3983000PY

(50)

NR NR T1

National diabetes

registry, Scottish

General

Acute/Inpatient

dataset

Melanoma

613 (50) I

Age, date of follow up, date of

birth

NDSS (T2DM) [11] Australia 1997 5.8 872706 (47) 60.4 872706 (47) T2 National diabetes

registry

Melanoma

I: 5325 (33)

M: 585 (25)

I, M Age, calendar year

Wideroff et al [1] Denmark 1977-1989 5.7 109581 (50) M: 64

W: 69 109581 (50) Both

Hospital discharge

diagnosis

Melanoma

138 (56)

Non-melanoma

1074 (43)

I Age, calendar year

DRT [26] Austria 2005 8.7 5709 (47) 57.4 5709 (47) T2 Diabetes registry Melanoma

20 (45) I

Age, period in 5-year period

groups

APCSC (ANZ) [27]

Australia,

New

Zealand

(9 cohorts)

1989-1996 7 82913 (52) 51 3365 (44) Both Self-reported,

Measured

Melanoma

69 (32) M

Age, BMI, education, alcohol,

smoking

Fedeli et al [19] Italy 2008 3 167621 (45.4) 30-89 167621 (45.4) Both

Regional archives

from subjects

exempt from

medical charges

due to diabetes

Melanoma

36 (33) M Age

CPS II [18] US 1982 26 1053831 (56) NR 52655 (50) Both Self-reported Melanoma

1788 (33) M

Age, education, BMI,

smoking, alcohol, vagetable

intake, red meat intake,

physical activity, aspirin use

Page 46: Characteristics of the studies reporting on the ...MHS registry [4] Israel 2000 8 100595 (53) 61.6 16721 (47) Both Maccabi Healthcare Service database 307 (35) I Age, region, socio-economic

46

Forssas et al [6] Finland 2003 5

5147349 in

1997

5300484 in

2007

1-79

171596 (54) in

1997

284832 (49) in

2007

Both Diabetes registry Melanoma

NR M Age

NDSS (T1DM) [11] Australia 1997 12 80676 (48) 27.4 80676 (48) T1 National diabetes

registry

Melanoma

24 (38) M Age, calendar year

Bone, connective tissue

Cohort Country Baseline

study (years)

Follow-u

p (years)

N

(% women)

Mean age

(years)

N of diabetes

(% women)

Type of

diabetes

Ascertainment of

diabetes

N of outcome

(% women) I or M

Maximum adjustment

available

MHS registry [4] Israel 2000 8 100595 (53) 61.6 16721 (47) Both

Maccabi

Healthcare Service

database

Bone,

connective

tissue

61 (34)

Kaposi’s

sarcoma

47 (26)

I

Age, region, socio-economic

status, use of healthcare

services a year prior to index

date, BMI, history of CVD

Lin et al [13] Taiwan 1997-1998 11 9884228 (45) 20- 472979 (51) T2

National Health

Insurance

Research Database

Bone

7016 (41)

Connective

tissue, soft

tissue

8557 (42)

I

Age, insurance premium,

urbanization degree of area

registered for National Health

Insurance program

Shu et al [8] Sweden 1964-2006 17 24052 (47) 11.2 24052 (47) T1 Hospital discharge

register

Bone

2 (50)

Connective

tissue, soft

tissue

2 (50)

I Age, period of diagnosis,

region

Page 47: Characteristics of the studies reporting on the ...MHS registry [4] Israel 2000 8 100595 (53) 61.6 16721 (47) Both Maccabi Healthcare Service database 307 (35) I Age, region, socio-economic

47

NIH-AARP Diet and

Health Study [18] US 1995-1996 11 494867 (40) 62.5 44726 (33) Both Self-reported

Connective

tissue, soft

tissue

311 (32)

NF

Age, BMI, race/ethnicity,

education, marital status,

family Hx of cancer,

self-reported health status,

intake of red meat, white

meat, fruits, vegetables,

alcohol, and coffee, physical

activity, smoking,

multivitamin use

CPS II [18] US 1982 26 1053831 (56) NR 52655 (50) Both Self-reported

Connective

tissue, soft

tissue

752 (47)

F

Age, education, BMI,

smoking, alcohol, vagetable

intake, red meat intake,

physical activity, aspirin use

Endocrine, Thyroid

Cohort Country Baseline

study (years)

Follow-u

p (years)

N

(% women)

Mean age

(years)

N of diabetes

(% women)

Type of

diabetes

Ascertainment of

diabetes

N of outcome

(% women) I or M

Maximum adjustment

available

Wang et al [14] China 2007-2013 6 327268 (50) 59.8 327268 (50) Both Diabetes registry Thyroid

301 (68) I Age, urbanization level

Adami et al [9] Sweden 1965-1983 5.2 51008 (55) NR 51008 (55) Both

A hospital

discharge

diagnosis

Thyroid

19 (68)

Endocrine

other than

thyroid

43 (77)

I Age

Wideroff et al [1] Denmark 1977-1989 5.7 109581 (50) M: 64

W: 69 109581 (50) Both

Hospital discharge

diagnosis

Thyroid

31 (68) I Age, calendar year

Dankner et al [24] Israel 2002 11 2186196 (53) 21-89

159104 (53) (n

of prevalent

diabetes)

Both Diabetes registry Thyroid

3535 (76) I

Age, ethnic origin,

socioeconomic status a)

NDSS (T2DM) [11] Australia 1997 5.8 872706 (47) 60.4 872706 (47) T2 National diabetes

registry

Thyroid

I: 710 (66)

M: 66 (44)

I, M Age, calendar year

Page 48: Characteristics of the studies reporting on the ...MHS registry [4] Israel 2000 8 100595 (53) 61.6 16721 (47) Both Maccabi Healthcare Service database 307 (35) I Age, region, socio-economic

48

Carstensen et al [15]

Australia,

Denmark,

Finland,

Scotland,

Sweden

1987-2000 8-38

NR

3983000PY

(50)

NR NR T1

National diabetes

registry, Scottish

General

Acute/Inpatient

dataset

Thyroid

299 (81) I

Age, date of follow up, date of

birth

MHS registry [4] Israel 2000 8 100595 (53) 61.6 16721 (47) Both

Maccabi

Healthcare Service

database

Thyroid

114 (71) I

Age, region, socio-economic

status, use of healthcare

services a year prior to index

date, BMI, history of CVD

Xu et al [21] China 2004 3.7 36379 (56) 59 36379 (56) T2 Diabetes registry Thyroid

29 (90) I Age

DRT [26] Austria 2005 8.7 5709 (47) 57.4 5709 (47) T2 Diabetes registry Thyroid

9 (89) I

Age, period in 5-year period

groups

Gini et al [49] Italy 2002-2009 3.7 32247 (45) 65 32247 (45) T2

Hospital

discharge,

exemption from

medical charges

because of

diabetes,

prescription

Thyroid

22 (59) I Age, year at cancer diagnosis

Kitahara et al [86] US (5

cohorts)

1987,

1993-1995 10.5 674491 (46)

NR (8% of total

subjects) Both Self-reported

Thyroid

818 (62) I

Age, education, race, marital

status, smoking, BMI, alcohol

intake, cohort

NDSS (T1DM) [11] Australia 1997 12 80676 (48) 27.4 80676 (48) T1 National diabetes

registry

Thyroid

2 (50) M Age, calendar year

NIH-AARP Diet and

Health Study [10] US 1995-1996 11 494867 (40) 62.5 44726 (33) Both Self-reported

Endocrine

655 (56) M

Age, BMI, race/ethnicity,

education, marital status,

family Hx of cancer,

self-reported health status,

intake of red meat, white

meat, fruits, vegetables,

alcohol, and coffee, physical

activity, smoking,

multivitamin use

a) RRs for prevalent diabetes were extracted.

Breast

Page 49: Characteristics of the studies reporting on the ...MHS registry [4] Israel 2000 8 100595 (53) 61.6 16721 (47) Both Maccabi Healthcare Service database 307 (35) I Age, region, socio-economic

49

Cohort Country Baseline

study (years)

Follow-u

p (years)

N

(% women)

Mean age

(years)

N of diabetes

(% women)

Type of

diabetes

Ascertainment of

diabetes

N of outcome

(% women) I or M

Maximum adjustment

available

Weiderpass et al [87] Sweden 1965-1983 6.7 134098 (52) 61.8 134098 (52) Both Hospital discharge

diagnosis 1158 (99) I Age, calendar period

MHS registry [4] Israel 2000 8 100595 (53) 61.6 16721 (47) Both

Maccabi

Healthcare Service

database

1181 (99) I

Age, region, socio-economic

status, use of healthcare

services a year prior to index

date, BMI, history of CVD

NIH-AARP Diet and

Health Study [10] US 1995-1996 11 494867 (40) 62.5 44726 (33) Both Self-reported 9718 (99) I

Age, BMI, race/ethnicity,

education, marital status,

family Hx of cancer,

self-reported health status,

intake of red meat, white

meat, fruits, vegetables,

alcohol, and coffee, physical

activity, smoking,

multivitamin use

Wideroff et al [1] Denmark 1977-1989 5.7 109581 (50) M: 64

W: 69 109581 (50) Both

Hospital discharge

diagnosis 784 (99) I Age, calendar year

CPS II [18] US 1982 26 1053831 (56) NR 52655 (50) Both Self-reported 7756 (99) M

Age, education, BMI,

smoking, alcohol, vagetable

intake, red meat intake,

physical activity, aspirin use

Brain, nervous system

Cohort Country Baseline

study (years)

Follow-u

p (years)

N

(% women)

Mean age

(years)

N of diabetes

(% women)

Type of

diabetes

Ascertainment of

diabetes

N of outcome

(% women) I or M

Maximum adjustment

available

MHS registry [4] Israel 2000 8 100595 (53) 61.6 16721 (47) Both

Maccabi

Healthcare Service

database

104 (39) I

Age, region, socio-economic

status, use of healthcare

services a year prior to index

date, BMI, history of CVD

NDSS (T2DM) [11] Australia 1997 5.8 872706 (47) 60.4 872706 (47) T2 National diabetes

registry

I: 783 (34)

M: 579 (35) I, M Age, calendar year

Wideroff et al [1] Denmark 1977-1989 5.7 109581 (50) M: 64

W: 69 109581 (50) Both

Hospital discharge

diagnosis 159 (50) I Age, calendar year

Page 50: Characteristics of the studies reporting on the ...MHS registry [4] Israel 2000 8 100595 (53) 61.6 16721 (47) Both Maccabi Healthcare Service database 307 (35) I Age, region, socio-economic

50

NIH-AARP Diet and

Health Study [10] US 1995-1996 11 494867 (40) 62.5 44726 (33) Both Self-reported 787 (31) I

Age, BMI, race/ethnicity,

education, marital status,

family Hx of cancer,

self-reported health status,

intake of red meat, white

meat, fruits, vegetables,

alcohol, and coffee, physical

activity, smoking,

multivitamin use

Carstensen et al [15]

Australia,

Denmark,

Finland,

Scotland,

Sweden

1987-2000 8-38

NR

3983000PY

(50)

NR NR T1

National diabetes

registry, Scottish

General

Acute/Inpatient

dataset

393 (54) I Age, date of follow up, date of

birth

Dankner et al [24] Israel 2002 11 2186196 (53) 21-89

159104 (53) (n

of prevalent

diabetes)

Both Diabetes registry 2009 (47) I Age, ethnic origin,

socioeconomic status a)

Lin et al [13] Taiwan 1997-1998 11 9884228 (45) 20- 472979 (51) T2

National Health

Insurance

Research Database

15489 (46) I

Age, insurance premium,

urbanization degree of area

registered for National Health

Insurance program

Wang et al [14] China 2007-2013 6 327268 (50) 59.8 327268 (50) Both Diabetes registry 110 (50) I Age, urbanization level

Xu et al [21] China 2004 3.7 36379 (56) 59 36379 (56) T2 Diabetes registry 33 (73) I Age

Adami et al [9] Sweden 1965-1983 5.2 51008 (55) NR 51008 (55) Both

A hospital

discharge

diagnosis

66 (87) I Age

Fedeli et al [19] Italy 2008 3 167621 (45.4) 30-89 167621 (45.4) Both

Regional archives

from subjects

exempt from

medical charges

due to diabetes

73 (36) M Age

CPS II [18] US 1982 26 1053831 (56) NR 52655 (50) Both Self-reported 3084 (47) M

Age, education, BMI,

smoking, alcohol, vagetable

intake, red meat intake,

physical activity, aspirin use

NDSS (T1DM) [11] Australia 1997 12 80676 (48) 27.4 80676 (48) T1 National diabetes

registry 32 (53) M Age, calendar year

a) RRs for prevalent diabetes were extracted.

Page 51: Characteristics of the studies reporting on the ...MHS registry [4] Israel 2000 8 100595 (53) 61.6 16721 (47) Both Maccabi Healthcare Service database 307 (35) I Age, region, socio-economic

51

Unknown primary

Cohort Country Baseline

study (years)

Follow-u

p (years)

N

(% women)

Mean age

(years)

N of diabetes

(% women)

Type of

diabetes

Ascertainment of

diabetes

N of outcome

(% women) I or M

Maximum adjustment

available

Hemminki et al [88] Sweden 1997 14 211079 (43) 64 211079 (43) Both

Hospital discharge

register, National

outpatient registry,

Primary health

care registry,

Swedish

prescribed drug

register

14536 (58) I

Age, period of diagnosis

(5-year bands), socioeconomic

status, region

Page 52: Characteristics of the studies reporting on the ...MHS registry [4] Israel 2000 8 100595 (53) 61.6 16721 (47) Both Maccabi Healthcare Service database 307 (35) I Age, region, socio-economic

52

References

[1] Wideroff L, Gridley G, Mellemkjaer L, et al. (1997) Cancer incidence in a population-based cohort of

patients hospitalized with diabetes mellitus in Denmark. J Natl Cancer Inst 89: 1360-1365

[2] Idilbi NM, Barchana M, Milman U, Carel RS (2013) Incidence of cancer among diabetic and

non-diabetic adult Israeli Arabs. Isr Med Assoc J 15: 342-347

[3] Hippisley-Cox J, Coupland C (2015) Development and validation of risk prediction algorithms to

estimate future risk of common cancers in men and women: prospective cohort study. BMJ Open 5:

e007825

[4] Chodick G, Heymann AD, Rosenmann L, et al. (2010) Diabetes and risk of incident cancer: a large

population-based cohort study in Israel. Cancer Causes Control 21: 879-887

[5] Zhou XH, Qiao Q, Zethelius B, et al. (2010) Diabetes, prediabetes and cancer mortality. Diabetologia

53: 1867-1876

[6] Forssas E, Sund R, Manderbacka K, Arffman M, Ilanne-Parikka P, Keskimaki I (2013) Increased

cancer mortality in diabetic people treated with insulin: a register-based follow-up study. BMC Health

Serv Res 13: 267

[7] Verlato G, Zoppini G, Bonora E, Muggeo M (2003) Mortality from site-specific malignancies in type

2 diabetic patients from Verona. Diabetes Care 26: 1047-1051

[8] Shu X, Ji J, Li X, Sundquist J, Sundquist K, Hemminki K (2010) Cancer risk among patients

hospitalized for Type 1 diabetes mellitus: a population-based cohort study in Sweden. Diabet Med 27:

791-797

[9] Adami HO, McLaughlin J, Ekbom A, et al. (1991) Cancer risk in patients with diabetes mellitus.

Cancer Causes Control 2: 307-314

[10] Lai GY, Park Y, Hartge P, Hollenbeck AR, Freedman ND (2013) The association between

self-reported diabetes and cancer incidence in the NIH-AARP Diet and Health Study. J Clin

Endocrinol Metab 98: E497-502

[11] Harding JL, Shaw JE, Peeters A, Cartensen B, Magliano DJ (2015) Cancer risk among people with

type 1 and type 2 diabetes: disentangling true associations, detection bias, and reverse causation.

Diabetes Care 38: 264-270

[12] Walker JJ, Brewster DH, Colhoun HM, et al. (2013) Type 2 diabetes, socioeconomic status and risk of

cancer in Scotland 2001-2007. Diabetologia 56: 1712-1715

[13] Lin CC, Chiang JH, Li CI, et al. (2014) Cancer risks among patients with type 2 diabetes: a 10-year

follow-up study of a nationwide population-based cohort in Taiwan. BMC Cancer 14: 381

[14] Wang M, Hu RY, Wu HB, et al. (2015) Cancer risk among patients with type 2 diabetes mellitus: a

population-based prospective study in China. Sci Rep 5: 11503

[15] Carstensen B, Read SH, Friis S, et al. (2016) Cancer incidence in persons with type 1 diabetes: a

five-country study of 9,000 cancers in type 1 diabetic individuals. Diabetologia 59: 980-988

[16] Zhang PH, Chen ZW, Lv D, et al. (2012) Increased risk of cancer in patients with type 2 diabetes

mellitus: a retrospective cohort study in China. BMC Public Health 12: 567

[17] Sasazuki S, Charvat H, Hara A, et al. (2013) Diabetes mellitus and cancer risk: pooled analysis of

Page 53: Characteristics of the studies reporting on the ...MHS registry [4] Israel 2000 8 100595 (53) 61.6 16721 (47) Both Maccabi Healthcare Service database 307 (35) I Age, region, socio-economic

53

eight cohort studies in Japan. Cancer Sci 104: 1499-1507

[18] Campbell PT, Newton CC, Patel AV, Jacobs EJ, Gapstur SM (2012) Diabetes and cause-specific

mortality in a prospective cohort of one million U.S. adults. Diabetes Care 35: 1835-1844

[19] Fedeli U, Zoppini G, Gennaro N, Saugo M (2014) Diabetes and cancer mortality: a multifaceted

association. Diabetes Res Clin Pract 106: e86-89

[20] Jee SH, Ohrr H, Sull JW, Yun JE, Ji M, Samet JM (2005) Fasting serum glucose level and cancer risk

in Korean men and women. JAMA 293: 194-202

[21] Xu HL, Fang H, Xu WH, et al. (2015) Cancer incidence in patients with type 2 diabetes mellitus: a

population-based cohort study in Shanghai. BMC Cancer 15: 852

[22] Xu HL, Tan YT, Epplein M, et al. (2015) Population-based cohort studies of type 2 diabetes and

stomach cancer risk in Chinese men and women. Cancer Sci 106: 294-298

[23] Ragozzino M, Melton LJ, 3rd, Chu CP, Palumbo PJ (1982) Subsequent cancer risk in the incidence

cohort of Rochester, Minnesota, residents with diabetes mellitus. J Chronic Dis 35: 13-19

[24] Dankner R, Boffetta P, Balicer RD, et al. (2016) Time-Dependent Risk of Cancer After a Diabetes

Diagnosis in a Cohort of 2.3 Million Adults. Am J Epidemiol 183: 1098-1106

[25] Hsu PC, Lin WH, Kuo TH, Lee HM, Kuo C, Li CY (2015) A Population-Based Cohort Study of

All-Cause and Site-Specific Cancer Incidence Among Patients With Type 1 Diabetes Mellitus in

Taiwan. J Epidemiol 25: 567-573

[26] Oberaigner W, Ebenbichler C, Oberaigner K, Juchum M, Schonherr HR, Lechleitner M (2014)

Increased cancer incidence risk in type 2 diabetes mellitus: results from a cohort study in

Tyrol/Austria. BMC Public Health 14: 1058

[27] Lam EK, Batty GD, Huxley RR, et al. (2011) Associations of diabetes mellitus with site-specific

cancer mortality in the Asia-Pacific region. Ann Oncol 22: 730-738

[28] Shen C, Schooling CM, Chan WM, Lee SY, Leung GM, Lam TH (2014) Self-reported diabetes and

mortality in a prospective Chinese elderly cohort study in Hong Kong. Prev Med 64: 20-26

[29] Kang YM, Kim YJ, Park JY, Lee WJ, Jung CH (2016) Mortality and causes of death in a national

sample of type 2 diabetic patients in Korea from 2002 to 2013. Cardiovasc Diabetol 15: 131

[30] Kato M, Noda M, Mizoue T, et al. (2015) Diagnosed diabetes and premature death among

middle-aged Japanese: results from a large-scale population-based cohort study in Japan (JPHC

study). BMJ Open 5: e007736

[31] Romon I, Rey G, Mandereau-Bruno L, et al. (2014) The excess mortality related to cardiovascular

diseases and cancer among adults pharmacologically treated for diabetes--the 2001-2006 ENTRED

cohort. Diabet Med 31: 946-953

[32] Khaw KT, Wareham N, Bingham S, Luben R, Welch A, Day N (2004) Preliminary communication:

glycated hemoglobin, diabetes, and incident colorectal cancer in men and women: a prospective

analysis from the European prospective investigation into cancer-Norfolk study. Cancer Epidemiol

Biomarkers Prev 13: 915-919

[33] Limburg PJ, Vierkant RA, Fredericksen ZS, et al. (2006) Clinically confirmed type 2 diabetes

mellitus and colorectal cancer risk: a population-based, retrospective cohort study. Am J Gastroenterol

Page 54: Characteristics of the studies reporting on the ...MHS registry [4] Israel 2000 8 100595 (53) 61.6 16721 (47) Both Maccabi Healthcare Service database 307 (35) I Age, region, socio-economic

54

101: 1872-1879

[34] Schoen RE, Tangen CM, Kuller LH, et al. (1999) Increased blood glucose and insulin, body size, and

incident colorectal cancer. J Natl Cancer Inst 91: 1147-1154

[35] Rapp K, Schroeder J, Klenk J, et al. (2006) Fasting blood glucose and cancer risk in a cohort of more

than 140,000 adults in Austria. Diabetologia 49: 945-952

[36] Ren X, Zhang X, Zhang X, et al. (2009) Type 2 diabetes mellitus associated with increased risk for

colorectal cancer: evidence from an international ecological study and population-based risk analysis

in China. Public Health 123: 540-544

[37] Campbell PT, Deka A, Jacobs EJ, et al. (2010) Prospective study reveals associations between

colorectal cancer and type 2 diabetes mellitus or insulin use in men. Gastroenterology 139: 1138-1146

[38] Goto A, Noda M, Sawada N, et al. (2016) High hemoglobin A1c levels within the non-diabetic range

are associated with the risk of all cancers. Int J Cancer 138: 1741-1753

[39] Will JC, Galuska DA, Vinicor F, Calle EE (1998) Colorectal cancer: another complication of diabetes

mellitus? Am J Epidemiol 147: 816-825

[40] Berger SM, Gislason G, Moore LL, et al. (2016) Associations between metabolic disorders and risk of

cancer in Danish men and women--a nationwide cohort study. BMC Cancer 16: 133

[41] Seow A, Yuan JM, Koh WP, Lee HP, Yu MC (2006) Diabetes mellitus and risk of colorectal cancer in

the Singapore Chinese Health Study. J Natl Cancer Inst 98: 135-138

[42] Hense HW, Kajuter H, Wellmann J, Batzler WU (2011) Cancer incidence in type 2 diabetes patients -

first results from a feasibility study of the D2C cohort. Diabetol Metabolic Syndr 3: 15

[43] Joshu CE, Prizment AE, Dluzniewski PJ, et al. (2012) Glycated hemoglobin and cancer incidence and

mortality in the Atherosclerosis in Communities (ARIC) Study, 1990-2006. Int J Cancer 131:

1667-1677

[44] Magliano DJ, Davis WA, Shaw JE, Bruce DG, Davis TM (2012) Incidence and predictors of all-cause

and site-specific cancer in type 2 diabetes: the Fremantle Diabetes Study. Eur J Endocrinol 167:

589-599

[45] Jarvandi S, Davidson NO, Schootman M (2013) Increased risk of colorectal cancer in type 2 diabetes

is independent of diet quality. PLoS One 8: e74616

[46] Sikdar KC, Walsh SJ, Roche M, Jiang Y, Syrowatka A, Collins KD (2013) Diabetes and sex-specific

colorectal cancer risks in Newfoundland and Labrador: a population-based retrospective cohort study.

Can J Public Health 104: e101-107

[47] He J, Stram DO, Kolonel LN, Henderson BE, Le Marchand L, Haiman CA (2010) The association of

diabetes with colorectal cancer risk: the Multiethnic Cohort. Br J Cancer 103: 120-126

[48] de Kort S, Simons CC, van den Brandt PA, et al. (2016) Diabetes mellitus type 2 and subsite-specific

colorectal cancer risk in men and women: results from the Netherlands Cohort Study on diet and

cancer. Eur J Gastroenterol Hepatol 28: 896-903

[49] Gini A, Bidoli E, Zanier L, et al. (2016) Cancer among patients with type 2 diabetes mellitus: A

population-based cohort study in northeastern Italy. Cancer Epidemiol 41: 80-87

[50] Nilsen TI, Vatten LJ (2001) Prospective study of colorectal cancer risk and physical activity, diabetes,

Page 55: Characteristics of the studies reporting on the ...MHS registry [4] Israel 2000 8 100595 (53) 61.6 16721 (47) Both Maccabi Healthcare Service database 307 (35) I Age, region, socio-economic

55

blood glucose and BMI: exploring the hyperinsulinaemia hypothesis. Br J Cancer 84: 417-422

[51] Koskinen SV, Reunanen AR, Martelin TP, Valkonen T (1998) Mortality in a large population-based

cohort of patients with drug-treated diabetes mellitus. Am J Public Health 88: 765-770

[52] Tan C, Mori M, Adachi Y, et al. (2016) Diabetes Mellitus and Risk of Colorectal Cancer Mortality in

Japan: the Japan Collaborative Cohort Study. Asian Pac J Cancer Prev 17: 4681-4688

[53] Chen HF, Chen P, Su YH, Su HF, Li CY (2012) Age- and sex-specific risks of colorectal cancers in

diabetic patients. Tohoku J Exp Med 226: 259-265

[54] Weiderpass E, Gridley G, Nyren O, Ekbom A, Persson I, Adami HO (1997) Diabetes mellitus and risk

of large bowel cancer. J Natl Cancer Inst 89: 660-661

[55] Onitilo AA, Berg RL, Engel JM, et al. (2013) Increased risk of colon cancer in men in the

pre-diabetes phase. PLoS One 8: e70426

[56] Adami HO, Chow WH, Nyren O, et al. (1996) Excess risk of primary liver cancer in patients with

diabetes mellitus. J Natl Cancer Inst 88: 1472-1477

[57] Campbell PT, Newton CC, Freedman ND, et al. (2016) Body Mass Index, Waist Circumference,

Diabetes, and Risk of Liver Cancer for U.S. Adults. Cancer Res 76: 6076-6083

[58] Yang WS, Shu XO, Gao J, et al. (2013) Prospective evaluation of type 2 diabetes mellitus on the risk

of primary liver cancer in Chinese men and women. Ann Oncol 24: 1679-1685

[59] Koh WP, Wang R, Jin A, Yu MC, Yuan JM (2013) Diabetes mellitus and risk of hepatocellular

carcinoma: findings from the Singapore Chinese Health Study. Br J Cancer 108: 1182-1188

[60] Wild SH, Morling JR, McAllister DA, et al. (2016) Type 2 diabetes and risk of hospital admission or

death for chronic liver diseases. J Hepatol 64: 1358-1364

[61] Fujino Y, Mizoue T, Tokui N, Yoshimura T (2001) Prospective study of diabetes mellitus and liver

cancer in Japan. Diabetes Metab Res Rev 17: 374-379

[62] Shibata A, Ogimoto I, Kurozawa Y, et al. (2003) Past medical history and risk of death due to

hepatocellular carcinoma, univariate analysis of JACC study data. Kurume Med J 50: 109-119

[63] Chiang CH, Lee LT, Hung SH, et al. (2014) Opposite association between diabetes, dyslipidemia, and

hepatocellular carcinoma mortality in the middle-aged and elderly. Hepatology 59: 2207-2215

[64] Chen HF, Chen P, Li CY (2010) Risk of malignant neoplasms of liver and biliary tract in diabetic

patients with different age and sex stratifications. Hepatology 52: 155-163

[65] Yagyu K, Lin Y, Obata Y, et al. (2004) Bowel movement frequency, medical history and the risk of

gallbladder cancer death: a cohort study in Japan. Cancer Sci 95: 674-678

[66] Tsai MS, Lee PH, Lin CL, Peng CL, Kao CH (2015) Type II diabetes mellitus is associated with a

reduced risk of cholangiocarcinoma in patients with biliary tract diseases. Int J Cancer 136:

2409-2417

[67] Larsson SC, Permert J, Hakansson N, Naslund I, Bergkvist L, Wolk A (2005) Overall obesity,

abdominal adiposity, diabetes and cigarette smoking in relation to the risk of pancreatic cancer in two

Swedish population-based cohorts. Br J Cancer 93: 1310-1315

[68] Nilsen TI, Vatten LJ (2000) A prospective study of lifestyle factors and the risk of pancreatic cancer in

Nord-Trondelag, Norway. Cancer Causes Control 11: 645-652

Page 56: Characteristics of the studies reporting on the ...MHS registry [4] Israel 2000 8 100595 (53) 61.6 16721 (47) Both Maccabi Healthcare Service database 307 (35) I Age, region, socio-economic

56

[69] Chow WH, Gridley G, Nyren O, et al. (1995) Risk of pancreatic cancer following diabetes mellitus: a

nationwide cohort study in Sweden. J Natl Cancer Inst 87: 930-931

[70] Lin Y, Tamakoshi A, Kawamura T, et al. (2002) Risk of pancreatic cancer in relation to alcohol

drinking, coffee consumption and medical history: findings from the Japan collaborative cohort study

for evaluation of cancer risk. Int J Cancer 99: 742-746

[71] Hall GC, Roberts CM, Boulis M, Mo J, MacRae KD (2005) Diabetes and the risk of lung cancer.

Diabetes Care 28: 590-594

[72] Yang WS, Yang Y, Yang G, et al. (2014) Pre-existing type 2 diabetes and risk of lung cancer: a report

from two prospective cohort studies of 133 024 Chinese adults in urban Shanghai. BMJ Open 4:

e004875

[73] Gnavi R, Petrelli A, Demaria M, Spadea T, Carta Q, Costa G (2004) Mortality and educational level

among diabetic and non-diabetic population in the Turin Longitudinal Study: a 9-year follow-up. Int J

Epidemiol 33: 864-871

[74] Setiawan VW, Stram DO, Nomura AM, Kolonel LN, Henderson BE (2007) Risk factors for renal cell

cancer: the multiethnic cohort. Am J Epidemiol 166: 932-940

[75] Lindblad P, Chow WH, Chan J, et al. (1999) The role of diabetes mellitus in the aetiology of renal cell

cancer. Diabetologia 42: 107-112

[76] Washio M, Mori M, Khan M, et al. (2007) Diabetes mellitus and kidney cancer risk: the results of

Japan Collaborative Cohort Study for Evaluation of Cancer Risk (JACC Study). Int J Urol 14:

393-397

[77] Goossens ME, Zeegers MP, Bazelier MT, De Bruin ML, Buntinx F, de Vries F (2015) Risk of bladder

cancer in patients with diabetes: a retrospective cohort study. BMJ Open 5: e007470

[78] Newton CC, Gapstur SM, Campbell PT, Jacobs EJ (2013) Type 2 diabetes mellitus, insulin-use and

risk of bladder cancer in a large cohort study. Int J Cancer 132: 2186-2191

[79] Woolcott CG, Maskarinec G, Haiman CA, Henderson BE, Kolonel LN (2011) Diabetes and urothelial

cancer risk: the Multiethnic Cohort study. Cancer Epidemiol 35: 551-554

[80] Inoue M, Iwasaki M, Otani T, Sasazuki S, Noda M, Tsugane S (2006) Diabetes mellitus and the risk

of cancer: results from a large-scale population-based cohort study in Japan. Arch Intern Med 166:

1871-1877

[81] Khan M, Mori M, Fujino Y, et al. (2006) Site-specific cancer risk due to diabetes mellitus history:

evidence from the Japan Collaborative Cohort (JACC) Study. Asian Pac J Cancer Prev 7: 253-259

[82] Khan AE, Gallo V, Linseisen J, et al. (2008) Diabetes and the risk of non-Hodgkin's lymphoma and

multiple myeloma in the European Prospective Investigation into Cancer and Nutrition.

Haematologica 93: 842-850

[83] Yang WS, Li HL, Xu HL, et al. (2016) Type 2 diabetes and the risk of non-Hodgkin's lymphoma: a

report from two population-based cohort studies in China. Eur J Cancer Prev 25: 149-154

[84] Erber E, Lim U, Maskarinec G, Kolonel LN (2009) Common immune-related risk factors and

incident non-Hodgkin lymphoma: the multiethnic cohort. Int J Cancer 125: 1440-1445

[85] Weiderpass E, Gridley G, Ekbom A, Nyren O, Hjalgrim H, Adami HO (1997) Medical history risk

Page 57: Characteristics of the studies reporting on the ...MHS registry [4] Israel 2000 8 100595 (53) 61.6 16721 (47) Both Maccabi Healthcare Service database 307 (35) I Age, region, socio-economic

57

factors for non-Hodgkin's lymphoma in older women. J Natl Cancer Inst 89: 816-817

[86] Kitahara CM, Platz EA, Beane Freeman LE, et al. (2012) Physical activity, diabetes, and thyroid

cancer risk: a pooled analysis of five prospective studies. Cancer Causes Control 23:463-471

[87] Weiderpass E, Gridley G, Persson I, Nyren O, Ekbom A, Adami HO (1997) Risk of endometrial and

breast cancer in patients with diabetes mellitus. Int J Cancer 71: 360-363

[88] Hemminki K, Forsti A, Sundquist K, Li X (2016) Cancer of unknown primary is associated with

diabetes. Eur J Cancer Prev 25: 246-251