a systematic literature review of real world evidence ...10.1007/s13300-016-0180... · a systematic...
TRANSCRIPT
A systematic literature review of real world evidence studies of liraglutide (Victoza™) in
type 2 diabetes
Study protocol
Date: June 8, 2016
Status: Study protocol (Final)
Prepared for: Emina Mocevic
Novo Nordisk
Prepared by: Amrita Ostawal ([email protected])
Weiwei Xu ([email protected])
Pharmerit BV
Marten Meesweg 107
3068 AV Rotterdam
the Netherlands
www.pharmerit.com
+31 (0) 88 4400100
Copyright © 2016 Pharmerit International page 2 of 23
VERSION CONTROL
Version Date
(DD/MM/YY
YY)
Author(s) Summary of Changes/Comments
Version 1.0 6/8/2016 Pharmerit Original version
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Table of Contents
LIST OF TABLES AND FIGURES 4
1 BACKGROUND 5
1.1 TYPE 2 DIABETES 5
1.2 GLP-1 AGONISTS 5
1.3 VICTOZA™ (LIRAGLUTIDE) 6
2 OBJECTIVES 7
2.1 OBJECTIVES 7
2.2 RESEARCH QUESTIONS 7
3 STUDY DESIGN 8
3.1 PICOS 8
3.2 DATABASES 9
3.3 APPROACH AND SEARCH TERMS 10
3.3.1 ProQuest 10
3.3.2 Cochrane 12
3.3.3 HTA websites 13
3.3.4 Conference Proceedings 14
3.4 SEARCH AND SELECTION PROCEDURE 15
3.5 DATA-EXTRACTION PROCEDURE 17
3.6 QUALITY ASSESSMENT 18
3.7 REPORTING AND PUBLICATION 19
3.7.1 Technical report 19
3.7.1 Slide-deck 19
3.7.2 Publication of findings in a peer-reviewed biomedical journal 19
4 ABBREVIATIONS 21
5 REFERENCES 22
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List of Tables and Figures
List of Tables
Table 1: PICOS 8
Table 2: Included databases 9
Table 3: Search terms ProQuest (searched on 30/09/2015) 10
Table 4: Search terms Cochrane (searched on 30/09/2015) 12
Table 5: HTA websites searched (30/09/2015) 13
Table 6: Search terms for ISPOR 14
Table 7: Search terms for ADA 14
Table 8: Search terms for EASD 15
Table 9: Search terms for IDF 15
Table 10: Inclusion and exclusion criteria 15
Table 11: Evidence Quality Assessment Checklist 19
List of Figures
Figure 1: PRISMA Flow Diagram (2009) 17
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1 Background
1.1 Type 2 Diabetes
In 2014, there were 387 million people with diabetes and 4.9 million deaths. The number of people
with diabetes has been increasing due to rising prevalence of obesity, increase in life expectancy, and
decreased physical activity. Consequently, treatment costs for diabetes have been increasing
worldwide. In 2014, around 612 billion USD was spent worldwide for diabetes (1).
Type 2 diabetes mellitus (T2DM) is a chronic metabolic disorder characterised by increased blood
glucose levels (hyperglycaemia), which over time can cause microvascular complications such as
retinopathy, nephropathy, and neuropathy, and macrovascular complications such as ischemic heart
disease and stroke. Patients with T2DM are usually overweight or obese, leading to insulin
resistance. Initially, there is increased insulin production to counter this, but over time insulin
production falls. The main aim of treatment of patients with T2DM is to achieve and maintain blood
glucose levels and thereby reduce the occurrence of complications (2).
People with T2DM are initially managed by education on lifestyle changes, with advice to lose weight
by changing dietary habits and increasing physical activity. If patients fail to improve their blood
glucose level to the glycated haemoglobin (HbA1c) level of <7%, suggested as adequate glucose
control by the American Diabetes Association (ADA) and the European Association for the Study of
Diabetes (EASD) (3,4), and maintain it, then they are usually started on metformin. A sulfonylurea
(SU) is considered when patients cannot tolerate metformin or if it is contraindicated. However,
other antidiabetic drugs such as dipeptidyl peptidase-4 (DPP-4) inhibitors, a thiazolidinediones, or
sodium glucose transport 2 (SGLT2) inhibitors may be considered according to individual patients’
need (4). If patients fail to achieve satisfactory control on metformin, another oral glucose-lowering
drug is added, usually SU added to metformin (dual therapy). When dual therapy fails, a third drug is
added (triple therapy). The third drug could be an oral glucose-lowering drug of another class such
as pioglitazone, DPP-4 inhibitors (such as sitagliptin or saxagliptin), or a SGLT2 inhibitor (such as
dapagliflozin or canagliflozin), or an injectable glucagon-like peptide-1 (GLP-1) analogue (liraglutide
or exenatide, albiglutide, and dulaglutide). Some GLP-1 receptor agonists are now available in long-
acting form given only once a week. In T2DM, postprandial hyperglycaemia is common. The rise in
blood glucose level may be partly because of high glucagon levels. The incretin-based drugs reduce
the increased postprandial glucagon level. There are two types of incretin-based drugs, DPP-4
inhibitors and GLP-1 receptor agonists.
1.2 GLP-1 agonists
GLP-1 receptor agonists are glucose-lowering drugs that have to be injected. The GLP-1 receptor
agonists act like the naturally occurring incretin hormone GLP-1, a gastrointestinal hormone that is
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secreted by the body following consumption of food, that regulates plasma glucose levels by
delaying gastric emptying of food and reducing hunger, by inhibiting secretion of glucagon, and by
stimulating secretion and biosynthesis of insulin (5,6). GLP-1 receptor agonists thus leads to glucose
control and reduces weight.
There are now five GLP-1 receptor agonists available in the market: exenatide in twice daily form
(Byetta™, AstraZeneca plc, London, UK) and as the long-acting, once-weekly version (Bydureon™,
AstraZeneca), once-daily liraglutide (Victoza™, Novo Nordisk A/S, Bagsværd, Denmark), once-daily
lixisenatide (Lyxumia™, Sanofi-Aventis, Bridgewater, NJ, USA), weekly albiglutide (Tanzeum™,
GlaxoSmithKline plc, London, UK), and recently, weekly dulaglutide (Trulicity™, Eli Lilly and Company,
Indianapolis, IN, USA).
1.3 Victoza™ (Liraglutide)
The efficacy and safety of Novo Nordisk’s Victoza™ (liraglutide given in both regimens - as mono-
and combination therapy) have been evaluated in the Liraglutide Effect and Action in Diabetes
(LEAD) program, where liraglutide induced a decrease of HbA1c between 0.8% and 1.5% (7–11). In
addition, liraglutide leads to a reduction in weight, blood pressure and lipids (12). Due to its
additional effects on glycaemic control, liraglutide is associated with an improvement in life
expectancy and in quality-adjusted life expectancy. It is also associated with a reduced cost in
diabetes-related complications, so it is more cost-effective versus a DPP-4 inhibitor (13).
Liraglutide was approved for treatment of T2DM by the European Medicines Agency (EMA) on July 3,
2009, and by the U.S. Food and Drug Administration (FDA) on January 25, 2010. Since then, the
market for GLP-1 treatment has steadily expanded liraglutide and now accounts for 72% of global
GLP-1 agonist sales. Victoza™ is available in around 80 markets and is used by an estimated 900,000
people worldwide (14).
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2 Objectives
2.1 Objectives
To support the development of a publication on the clinical effectiveness of Victoza™ and a report
regarding costs and resource utilization of VictozaTM treatment, a systematic literature review (SLR)
will be conducted in accordance with widely accepted guidance to obtain relevant information using
a consistent, reproducible and transparent methodology.
• Main objective: To survey the real-world evidence (clinical effectiveness, resource utilisation
and costs) for Victoza™ use in patients with T2DM
2.2 Research questions
To meet the objective of this SLR the following research questions will be answered by identifying the relevant publications and completing data-extraction:
– What is the clinical effectiveness of Victoza™, including long-term effectiveness up to
2 years?
– What is the comparative effectiveness of Victoza™ compared to other non-insulin
antidiabetic drugs (NIADs)?
– What is the effectiveness of Victoza in patient subgroups?
– What is the effect of Victoza™ use on the health care resource utilisation in patients
with T2DM?
– What is the effect of Victoza™ use on the costs associated with healthcare use in
patients with T2DM?
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3 Study design
The systematic literature review design is detailed below in the following sections:
PICOS: defining the search in terms of population, interventions, comparators, outcomes
and study design; these also form the eligibility criteria for the studies to be eventually
considered for data extraction
Databases: providing an overview of all databases which will be searched;
Approach and search terms: providing the overall strategy and search strings per
database;
Search and Selection procedure and quality assessment: details on the title/abstract and
full-text screening process are provided and the quality control process is described;
Data-extraction procedure: the extraction parameters for the top-line data-extraction
form are presented;
Reporting and Publication: description of topics which will be covered by the technical
report, slide-deck and manuscript for publication.
3.1 PICOS
In Table 1, details on relevant population, interventions, comparators, outcomes and study designs
(PICOS) are clarified. These will be used to guide the eligibility of studies for this SLR to consolidate the
evidence base on real world use of liraglutide/Victoza™.
Table 1: PICOS
Item Details
Population T2DM
Note: No limit will be applied while performing the searches
Interventions Victoza™ (liraglutide)
Note: Mono, dual and triple therapy will be included
Comparators For clinical effectiveness studies investigating liraglutide only, no comparator
is relevant
For clinical effectiveness studies comparing liraglutide to other treatments,
comparators are non-insulin antidiabetics drugs.
Outcomes Clinical effectiveness
– Blood sugar levels
• Fasting serum glucose
• 8-point self-monitored plasma glucose profile
– HbA1c
– Weight loss (change in kg or BMI; number of people reaching a set
target)
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– Systolic blood pressure
– Lipids
– β-cell function, insulin sensitivity index and fasting glucagon
Comparative effectiveness to NIADs
Healthcare Resource Utilisation
– Hospitalisation
– HCP/GP visits
– Drug utilisation
Treatment cost (direct and indirect medical costs) per patient
Study design All but RCTs
Conventional trials will be included at first and will be discussed with the Novo
Nordisk team to agree upon final inclusion/exclusion
Note: For the purpose of the review; and in line with Novo Nordisk definition of
RWE; evidence not collected through conventional randomised controlled trials
will be considered for data extraction
Abbreviations: T2DM=type 2 diabetes mellitus; BMI=body mass index; HbA1c=glycated haemoglobin;
HCP=health care practitioner; GP=general practitioner; RCT=randomised controlled trial
3.2 Databases
The databases to be searches are provided in Table 2.
Table 2: Included databases
Search engine (website) Databases
ProQuest Medline®
EMBASE®
Cochrane Cochrane Database of Systematic Reviews (CDSR)
Database of Abstracts of Reviews of Effects (DARE)
Cochrane Methodology Register (CMR)
Health Technology Assessments Database (HTA)
NHS Economic Evaluation Database (EED)
HTA websites Single Technology Assessments (STA)
Guidelines (Multi technology assessments [MTA])
Conference Proceedings International Society for Pharmacoeconomics and Outcomes Research (ISPOR)
American Diabetes Association (ADA)
European Association for the Study of Diabetes (EASD)
World Diabetes Congress – International Diabetes Foundation (IDF)
Svensk Förenings för Diabetologis (SFD)
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3.3 Approach and search terms
The approach and search strings for ProQuest, Cochrane, HTA websites and the conference
proceedings are described in detail in the following sections. Search strategy includes the description
of search terms for indication and topics used, sources for search filters and limits applied.
The search terms have been designed to meet the requirements outlined in NICE’s guidelines for the
methods of technology appraisal, to ensure that all necessary papers are identified. Using the
ProQuest search engine (for Embase and Medline) complex search strings can be used, combining
extensive lists of search terms for indication and topic. For the other databases less complex search
strings are used as the search engines provide less options. In all databases, no language or time limits
are applied, to assure no relevant publications are missed. The annual meeting abstracts are only
searched for the last three years, as it can be assumed that after three years relevant abstract have
been published as full publication in a peer-reviewed journal.
3.3.1 ProQuest
ProQuest is used to search Medline, Medline In-Process and Embase (see search terms and results in
Table 3). To identify papers reporting on T2DM free text terms, Emtree terms and MESH terms for this
indication were combined. No time or language limits were applied.
Table 3: Search terms ProQuest (searched on 30/09/2015)
Topic Search Search terms # hits
S1 MESH.EXACT("Diabetes Mellitus, Type 2") OR EMB.EXACT("non
insulin dependent diabetes mellitus") OR TI,AB("type 2 diabetes"
OR "diabetes mellitus type 2" OR T2DM) OR TI,AB(non pre/0
insulin* pre/0 depend* OR noninsulin* pre/0 depend* OR
noninsulin?depend* OR non pre/0 insulin?depend*) OR
TI,AB((typ* pre/0 2 OR typ* pre/0 II) n/3 diabet*)
338042*
S2 (liraglutide OR victoza) OR EMB.EXACT("liraglutide") 5221*
S3 S1 AND S2 3119°
S4 (comparative effectiveness) OR (clinical effectiveness) OR efficacy
OR effect OR MESH.EXACT("Treatment Outcome") OR
MESH.EXACT("Comparative Effectiveness Research") OR
EMB.EXACT("comparative effectiveness") OR EMB.EXACT("drug
efficacy")
14582883*
S5 S3 AND S4 2639°
S6 (resource AND (utili*ation OR use)) OR EMB.EXACT("health care
utilization") OR EMB.EXACT.EXPLODE("health care utilization")
253210*
S7 S3 AND S6 28°
S8 TI,AB(low NEAR/5 cost) OR TI,AB(high NEAR/5 cost) OR
TI,AB(health?care NEAR/5 cost?) OR TI,AB(fiscal OR funding OR
financial OR finance) OR TI,AB(cost NEAR/5 estimate?) OR
TI,AB(cost NEAR/5 variable) OR TI,AB(unit NEAR/5 cost?) OR
TI,AB(economic? OR pharmacoeconomic? OR price? OR pricing)
1408522*
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OR EMB.EXACT(“socioeconomics”) OR EMB.EXACT(“cost benefit
analysis”) OR EMB.EXACT(“cost effectiveness analysis”) OR
EMB.EXACT(“cost of illness”) OR EMB.EXACT(“cost control”) OR
EMB.EXACT(“economic aspect”) OR EMB.EXACT(“financial
management”) OR EMB.EXACT(“health care cost”) OR
EMB.EXACT(“health care financing”) OR EMB.EXACT(“health
economics”) OR EMB.EXACT(“hospital cost”) OR
EMB.EXACT(“cost minimization analysis”) OR
MESH.EXACT(“Economics”) OR MESH.EXACT(“Costs and Cost
Analysis”) OR MESH.EXACT(“Cost Allocation”) OR
MESH.EXACT(“Cost-Benefit Analysis”) OR MESH.EXACT(“Cost
Control”) OR MESH.EXACT(“Cost Savings”) OR MESH.EXACT(“Cost
of Illness”) OR MESH.EXACT(“Cost Sharing”) OR
MESH.EXACT(“Deductibles and Coinsurance”) OR
MESH.EXACT(“Medical Savings Accounts”) OR
MESH.EXACT(“Health Care Costs”) OR MESH.EXACT(“Direct
Service Costs”) OR MESH.EXACT(“Drug Costs”) OR
MESH.EXACT(“Employer Health Costs”) OR
MESH.EXACT(“Hospital Costs”) OR MESH.EXACT(“Health
Expenditures”) OR MESH.EXACT(“Capital Expenditures”) OR
MESH.EXACT(“Value of Life”) OR MESH.EXACT(“Economics,
Hospital”) OR MESH.EXACT(“Economics, Medical”) OR
MESH.EXACT(“Economics, Nursing”) OR
MESH.EXACT(“Economics, Pharmaceutical”) OR
MESH.EXACT(“Fees and Charges”) OR MESH.EXACT(“Budgets”)
S9 S3 AND S8 258°
S10 (EMB.EXACT("case control study") OR EMB.EXACT("family study")
OR EMB.EXACT("longitudinal study") OR EMB.EXACT("prospective
study") OR EMB.EXACT("retrospective study") OR
EMB.EXACT("observational study") OR EMB.EXACT("cohort
analysis") OR ("medical record review")) OR
(TI,AB(epidemiologic* pre/1 stud*) OR TI,AB(“case control”) OR
TI,AB(cohort pre/1 stud*) OR TI,AB(“cohort analy*”) OR
TI,AB(Follow Up pre/1 stud*) OR TI,AB(observational pre/1 stud*)
OR TI,AB(longitudinal) OR TI,AB(retrospective) OR TI,AB(“cross
sectional”) OR TI,AB("chart review") OR TI,AB("medical record
review")) OR (MESH.EXACT("Case-Control Studies") OR
MESH.EXACT("Cohort Studies") OR MESH.EXACT("Cross-Sectional
Studies") OR MESH.EXACT("Observational Study") OR
MESH.EXACT("Prospective Studies") OR
MESH.EXACT("Retrospective Studies") OR
MESH.EXACT("Longitudinal Studies"))
3760021*
S11 S3 AND S10 285°
S12 S3 AND (S4 OR S6 OR S8) AND S10 242° hits
* Duplicates are removed from the search in Embase/Medline, but included in the result count.
° Duplicates are removed from the search in Embase/Medline and from the result count.
Abbreviations: AB = search in abstract; EMB = search as Emtree term; MESH = search as Mesh term; TI = search
in title.
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3.3.2 Cochrane
Cochrane search engine is used to search CDSR, DARE, CMR, HTA and EED. The search terms that will
be applied for the Cochrane search are provided in Table 4. No further limits were applied.
Table 4: Search terms Cochrane (searched on 30/09/2015)
Topic # Search terms # hits
Population 1 MeSH descriptor: [Diabetes Mellitus, Type 2] explode all
trees 9,256
2 diabetes:ti,ab and (type 2:ti,ab or II:ti,ab or 2ti,ab) 16,166
3 #1 OR #2 18,145
Intervention/comparators
4 (liraglitude OR victoza):ti,ab 10
5 #3 AND #4 9
Comparative
effectiveness 6 “comparative effectiveness”:ti,ab 1,030
7 “clinical effectiveness”:ti,ab 2,634
8 MeSH descriptor: [Treatment Outcome] explode all trees 98,028
9 MeSH descriptor: [Comparative Effectiveness Research]
explode all trees 164
10 #6 OR #7 OR #8 OR #9 101,038
11 #5 AND #10 1
Resource Utilisation 12 (resource and (utili*ation or use)):ti,ab 2,216
13 MeSH descriptor: [Patient Acceptance of Health Care]
explode all trees 20,189
14 #12 OR #13 22,259
15 #5 AND #14 0
Cost (-effectiveness) 16
((low near/5 cost) or (high near/5 cost) or (health?care
near/5 cost?) or (fiscal or funding or financial or finance)
or (cost near/5 estimate?) or (cost near/5 variable) or
(unit near/5 cost?) or (economic? or
pharmacoeconomic? or price? or pricing)):ti,ab
9,002
17 MeSH descriptor: [Cost-Benefit Analysis] explode all trees 17,181
18 MeSH descriptor: [Cost of Illness] explode all trees 1,186
19 MeSH descriptor: [Health Care Costs] explode all trees 6,879
20 MeSH descriptor: [Drug Costs] explode all trees 1,708
21 MeSH descriptor: [Employer Health Costs] explode all
trees 18
22 MeSH descriptor: [Hospital Costs] explode all trees 1,427
23 #16 OR #17 OR #18 OR #19 OR #20 OR #21 OR #22 28,047
24 #5 AND #23 2
Study design 25
((epidemiologic* pre/1 stud*) or ("case control") or
(cohort pre/1 stud*) or ("cohort analy*") or (Follow Up
pre/1 stud*) or (observational pre/1 stud*) or
20,024
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(longitudinal) or (retrospective) or ("cross sectional") or
("chart review") or ("medical record review")):ti,ab
26 MeSH descriptor: [Case-Control Studies] explode all trees 11,755
27 MeSH descriptor: [Longitudinal Studies] explode all trees 15,235
28 MeSH descriptor: [Prospective Studies] explode all trees 69,188
29 MeSH descriptor: [Retrospective Studies] explode all
trees 7,700
30 MeSH descriptor: [Observational Study] explode all trees 0
31 MeSH descriptor: [Cohort Studies] explode all trees 114,785
32 #25 OR #26 OR #27 OR #28 OR #29 OR #30 OR #31 130,971
TOTAL 33 (#11 OR #15 OR #24) AND #32 0 hits
Abbreviations: MESH = search as Mesh term.
3.3.3 HTA websites
The HTA websites will be searched for STAs and Guidelines (i.e. MTAs) relevant for the T2DM
indication. Only these document types are searches as they provide the outcomes of the original
health technology assessments (HTA) performed.
The search will be performed through the search engine provided on the main page. The searches will
be performed using the search string “type 2 diabetes and liraglutide”. No limits will be applied.
Table 5: HTA websites searched (30/09/2015)
Europe Germany
– Gemeinsamer Bundesausschuss (G-BA)
– Institut für Qualität und Wirtschaftlichkeit im Gesundheitswesen (IQWiG)
France
– Haute Autorité de Santé (HAS)
Italy*
Spain*
Sweden
– Tandvårds- och läkemedelsförmånsverket (TLV)
UK
– National Institute for Health and Care Excellence (NICE)
North
America
US – The Food and Drug Administration (FDA)
Canada – The Canadian Agency for Drugs and Technologies in Health (CADTH)
Oceania Australia – Australian Government - Department of Health
Asia Japan*
*Spain, Italy and Japan do not publish HTA reports and their HTA bodies are therefore not listed above
Note: For HTA reports in other languages separate Pharmerit employees who speak the language, or an online translation
tool will be used. If this does not suffice, Pharmerit will request the Novo Nordisk team to translate or let the documents be
translated by a translation agency.
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3.3.4 Conference Proceedings
Abstracts from the annual Meetings or scientific sessions presented from 2013 through 2015 will be
searched through the individual conference websites.
ISPOR
The ISPOR website will be searched for conference abstracts from 2013 to 2015. Only search terms
for “T2DM” and “liraglutide” will be used in the advanced search field (see Table 6Error! Reference
source not found.), no additional limits were applied to the search string. All results for the annual
meeting in 2013, 2014 and 2015 will be screened. This link will directly lead to the search engine of
the ISPOR website. On the website in disease/disorder the disease term diabetes is selected;
thereafter the search term is entered to be searched in the tile. In contrast to full-text, abstracts are
unlikely to report relevant evidence as a subtopic. Therefore, Pharmerit assumes that the title of the
abstract should contain one the applied search term liraglutide (main topic of interest) in order to be
included. Table 6 displays the search terms that will be used.
Table 6: Search terms for ISPOR
Search Year Search terms # hits
#1 2015 In Disease: Diabetes In Title: liraglutide 61
#2 2014 In Disease: Diabetes In Title: liraglutide 9
#3 2013 In Disease: Diabetes In Title: liraglutide 9
Total 79
ADA
The ADA website will be searched for conference abstracts from 2013 to 2015. The search term
“liraglutide” will be used to perform the search (see Table 7). This link will lead to a webpage with links
to conference abstracts for each year for the ADA conference meetings. For the year 2014 and 2015
search terms are inserted in the search bar. The search for 2013 is performed in the advanced search
with the search terms in abstract title search bar, similar to the ISPOR abstract search.
Table 7: Search terms for ADA
Search Year Search terms # hits
#1 2015 In Title: liraglutide 120
#2 2014 In Title: liraglutide 58
#3 2013 In Title: liraglutide 9
Total 187
EASD
The EASD website will be searched from 2013 to 2015. This link leads to the search engine of the EASD,
which can be used to select and search the three years of interest simultaneously. Search terms
“diabetes” and “liraglutide” were used in the right-top search bar, moreover in the left column
overview the specific meetings (2013, 2014 and 2015) are selected (Table 8). For result type the only
the option title was selected; for publication type abstracts and ePosters options were checked in the
options.
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Table 8: Search terms for EASD
Search Search terms # hits
#1 diabetes AND liraglutide 143
Total 143
IDF
The IDF website will be searched from 2013 to 2015. Only 1 conference took place between this time
period (World Diabetes Congress Melbourne 2013). This link leads to the search engine of the IDF.
Search term for liraglutide was used in the search bar on the left-middle of the page (Table 9).
Table 9: Search terms for IDF
Search Search terms # hits
#1 liraglutide 48
Total 48
SFD
As there is no direct link to the previous congress archives, we will look for information on the website
archives through a keyword search using “liraglutide”. Alternatively we will contact SFD directly to
obtain the information/links to the relevant congress archives.
3.4 Search and Selection procedure
A search and selection file (1 single file in MS Excel) will be developed recording all identified hits and
the result of the selection process. This file will be used to remove duplicates between different
databases and to record the reasons for inclusion and exclusion. Duplicates will be identified using
Excel functions to match titles and authors from different data sources.
The selection of articles (based on title/abstract and full-text) will be done according to NICE
requirements with two reviewers and quality assessment for the extracted studies will be completed
using the following requirements by NICE:
1. Both reviewers perform the title/abstract selection. The results of each review are discussed
between the reviewers and a selection is made of the articles for the first review round. The
full-text selection round follows the same process.
2. In case the reviewers cannot find agreement on the selection of papers, a third reviewer
(senior team member) will be consulted.
The inclusion and exclusion criteria for the search and selection process to be applied is shown in
Error! Reference source not found.11). In case of doubt whether a publication should be included,
the reviewer will consult a third reviewer.
Table 10: Inclusion and exclusion criteria
Item Inclusion criteria Exclusion criteria
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Population Patients with T2DM Patient with type 1 diabetes
mellitus
Gestational diabetes
Other diseases
Intervention Liraglutide Insulin therapy
NIADs
Comparator NIADs Insulin therapy
Outcomes Clinical effectiveness and safety of Victoza™
and NIADs
Comparative effectiveness and safety of
Victoza™ compared to other NIADs
Healthcare resource utilisation of T2DM
treatment using VictozaTM
Costs of T2DM treatment using VictozaTM
Studies not reporting the clinical
effectiveness/safety of either
VictozaTM or VictozaTM compared
to other NIADs
Studies not reporting costs and
resource utilization on an
individual patient level
Study design Chart review
Medical record analysis
Database analysis
Expert panel studies
Prospective follow-up studies
Post-marketing surveillance studies
Any type of interventional studies
• E.g. RCTs*
Case-reports
Letters to editor
Studies reporting resource utilisation or
costs based on modelling
Location All None
Language
All based on the Abstract None
Abbreviations: T2DM=Type 2 diabetes mellitus; NIAD=non-insulin antidiabetic drug; RCT=randomised controlled
trials
*Conventional trials will be included at first and will be discussed with the Novo Nordisk team to agree upon
final inclusion/exclusion
Note: For the purpose of the review; and in line with Novo Nordisk definition of RWE; evidence not collected
through randomised controlled trials will be considered for data extraction
Eligibility of non-English publications will be assessed based on their English abstracts. For publications
without English abstracts and for full text screening phase articles will be screened by separate
Pharmerit employees who speak the language, or an online translation tool will be used. If this does
not suffice, Pharmerit will request the Novo Nordisk team to translate or let the documents be
translated by a translation agency.
The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) flow diagram (see
Figure 1) will be completed at the end of the selection phase. The PRISMA diagram will report the
number of studies initially retrieved, the number of studies excluded at each selection step after
implementing inclusion and exclusion criteria, and the number of studies eventually included in the
systematic review. This flow chart will be included in the report in a later stage.
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Figure 1: PRISMA Flow Diagram (2009)
3.5 Data-extraction procedure
After selection of all articles, a data-extraction file (in MS Excel) will be constructed in order to assist
in selecting the relevant papers for data extraction. An empty Excel data extraction file will be
developed and shared with Novo Nordisk for one formal review round before data is extracted from
selected articles. Data extraction will be completed by one reviewer; the second reviewer will perform
a thorough quality check to assure all relevant data has been extracted to the correct parameter. For
non-English publications data will be extracted with help from Pharmerit employees who speak the
language, or an online translation tool will be used. If this does not suffice, Pharmerit will request the
Novo Nordisk team to translate or let the documents be translated by a translation agency.
The database will cover at least the following information:
Publication details: o Study title o Publication year o Author o Journal
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o Data year o Country of data o Study sponsor
Study description o Study objective (as stated in the introduction) o Main and secondary topics of the study o Study type o Study design o Duration of study o Database name o Treatment setting o Inclusion/Exclusion criteria
Patient population
Medical treatment (i.e. liraglutide, regimen [monotherapy, dual or triple])
Outcomes: o Single arm studies: clinical effectiveness of liraglutide comparted to baseline, e.g.
Blood sugar levels HbA1c Weight loss (change in kg or BMI; number of people reaching a set target) Systolic blood pressure Lipids 8-point self-monitored plasma glucose profile β-cell function, insulin sensitivity index and fasting glucagon
o Comparative effectiveness of liraglutide compared to other NIADs o Resource Utilisation, e.g.
Hospitalisation HCP visits Drug utilisation
o Costs (direct, indirect, etc.)
Main conclusion (as reported in the publication’s conclusion section)
Limitations (as described in the publication’s discussion)
Future research (as described in the publication’s discussion)
3.6 Quality Assessment
Following the data-extraction process, a critical appraisal of the quality of selected studies will be
performed by a single researcher. This quality assessment is primarily required for the evidence
submission to NICE from 2015 (15). Thus the methodology will be adopted from the guidance for
evidence submission published by NICE. Table 11 will be completed for all selected observational
studies based on the recommendations of The Centre for Reviews and Dissemination (CRD’s) guidance
for undertaking reviews in health care (16).
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Table 11: Evidence Quality Assessment Checklist
Study (author, date) Study 1 Study 2 Etc.
What is the study design of this study? (cohort study/ case-control
study/ case series)
(cohort study/ case-
control study/ case series) …
Was the study a prospective study or a
retrospective study?
(prospective/
retrospective)
(prospective/
retrospective)
In case of a case-control study, were the
groups similar at the outset of the study
in terms of prognostic factors?
(yes/no/not clear/NA) (yes/no/not clear/NA)
Was the intervention used
appropriately? (yes/no/not clear/NA) (yes/no/not clear/NA)
Were the outcome measures in the
study reliable? (yes/no/not clear/NA) (yes/no/not clear/NA)
Were the outcome measures in the
study valid? (yes/no/not clear/NA) (yes/no/not clear/NA)
Was the statistical analysis conducted
appropriately in the study? (yes/no/not clear/NA) (yes/no/not clear/NA)
Was the quality of reporting appropriate
in the study? (yes/no/not clear/NA) (yes/no/not clear/NA)
Can the study results be generalized to
routine practice? (yes/no/not clear/NA) (yes/no/not clear/NA)
Adapted from Centre for Reviews and Dissemination (2008) Systematic reviews. CRD’s guidance for
undertaking reviews in health care. York: Centre for Reviews and Dissemination
3.7 Reporting and Publication
3.7.1 Technical report
A report of size 50 pages on the evidence base for Victoza™ will be prepared using MS Word. The
report will comprise an introduction, the methodology, an overview of search results (including a
PRISMA flow diagram (see
Slide-deck
), the relevant results reported in included studies and review conclusions. The data tables (as
extracted) and full texts (annotated PDF) will be provided alongside the technical report.
3.7.1 Slide-deck
A slide-deck of size 30 slides comprising key results and highlights from the technical report will be
developed in MS Power Point.
3.7.2 Publication of findings in a peer-reviewed biomedical journal
Pharmerit will synthesise the research findings from the SLR on RWE of Victoza into a manuscript for
publication. The manuscript will be developed based on the target journal considered for publication.
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4 Abbreviations
Abbreviation Full form
ADA American Diabetes Association
BMI Body Mass Index
CDSR Cochrane Database of Systematic Reviews
CRD Centre for Reviews and Dissemination
CENTRAL Cochrane Central Register of Controlled Trials
CMR Cochrane Methodology Register
CRD Centre for Reviews and Disseminations
EASD European Association for the Study of Diabetes
EED NHS Economic Evaluation Database
DPP-4 Dipeptidyl Peptidase-4
EMA Europeans Medicines Agency
FDA The Food and Drug Administration
GLP-1 Glucagon Like Peptide 1
GP General Practitioner
HbA1c Glycated Haemoglobin
HCP Health Care Professional
HTA Health Technology Assessments
LEAD Liraglutide Effect and Action in Diabetes
MTA Multi Technology Assessment
NIADs Non-insulin antidiabetic drugs
NICE National Institute for Health and Care Excellence
PICOS Population, interventions, comparators, outcomes and study designs
RCT Randomised Controlled Trial
RWE Real World Evidence
SGLT 2 Sodium Glucose Transporter 2
SLR Systematic Literature Review
SU Sulfonyl urea
STA Single Technology Assessment
T2DM Type 2 Diabetes Mellitus
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5 References
1. Internation diabetes federation (IDF). Diabetes Atlas. 6th ed. Brussels, Belgium: IDF; 2013.
Available from: http://www.idf.org/diabetesatlas. Accessed October 1, 2015.
2. Gurung T, Shyangdan DS, O’Hare JP, Waugh N. A novel, long-acting glucagon-like peptide
receptor-agonist: dulaglutide. Diabetes Metab Syndr Obes. New Zealand; 2015;8:363–86.
3. Nathan DM, Buse JB, Davidson MB, Heine RJ, Holman RR, Sherwin R, et al. Management of
hyperglycaemia in type 2 diabetes: a consensus algorithm for the initiation and adjustment of
therapy. A consensus statement from the American Diabetes Association and the European
Association for the Study of Diabetes. Diabetologia. Germany; 2006 Aug;49(8):1711–21.
4. Inzucchi SE, Bergenstal RM, Buse JB, Diamant M, Ferrannini E, Nauck M, et al. Management of
hyperglycemia in type 2 diabetes, 2015: a patient-centered approach: update to a position
statement of the American Diabetes Association and the European Association for the Study
of Diabetes. Diabetes Care. United States; 2015 Jan;38(1):140–9.
5. Nauck MA, Kleine N, Orskov C, Holst JJ, Willms B, Creutzfeldt W. Normalization of fasting
hyperglycaemia by exogenous glucagon-like peptide 1 (7-36 amide) in type 2 (non-insulin-
dependent) diabetic patients. Diabetologia. GERMANY; 1993 Aug;36(8):741–4.
6. Baggio LL, Huang Q, Brown TJ, Drucker DJ. A recombinant human glucagon-like peptide (GLP)-
1-albumin protein (albugon) mimics peptidergic activation of GLP-1 receptor-dependent
pathways coupled with satiety, gastrointestinal motility, and glucose homeostasis. Diabetes.
United States; 2004 Sep;53(9):2492–500.
7. Zinman B, Gerich J, Buse JB, Lewin A, Schwartz S, Raskin P, et al. Efficacy and safety of the
human glucagon-like peptide-1 analog liraglutide in combination with metformin and
thiazolidinedione in patients with type 2 diabetes (LEAD-4 Met+TZD). Diabetes Care. United
States; 2009 Jul;32(7):1224–30.
8. Russell-Jones D, Vaag A, Schmitz O, Sethi BK, Lalic N, Antic S, et al. Liraglutide vs insulin glargine
and placebo in combination with metformin and sulfonylurea therapy in type 2 diabetes
mellitus (LEAD-5 met+SU): a randomised controlled trial. Diabetologia. Germany; 2009
Oct;52(10):2046–55.
9. Garber A, Henry R, Ratner R, Garcia-Hernandez PA, Rodriguez-Pattzi H, Olvera-Alvarez I, et al.
Liraglutide versus glimepiride monotherapy for type 2 diabetes (LEAD-3 Mono): a randomised,
52-week, phase III, double-blind, parallel-treatment trial. Lancet (London, England). England;
2009 Feb;373(9662):473–81.
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10. Marre M, Shaw J, Brandle M, Bebakar WMW, Kamaruddin NA, Strand J, et al. Liraglutide, a
once-daily human GLP-1 analogue, added to a sulphonylurea over 26 weeks produces greater
improvements in glycaemic and weight control compared with adding rosiglitazone or placebo
in subjects with Type 2 diabetes (LEAD-1 SU). Diabet Med. England; 2009 Mar;26(3):268–78.
11. Nauck M, Frid A, Hermansen K, Shah NS, Tankova T, Mitha IH, et al. Efficacy and safety
comparison of liraglutide, glimepiride, and placebo, all in combination with metformin, in type
2 diabetes: the LEAD (liraglutide effect and action in diabetes)-2 study. Diabetes Care. United
States; 2009 Jan;32(1):84–90.
12. Rigato M, Fadini GP. Comparative effectiveness of liraglutide in the treatment of type 2
diabetes. Diabetes Metab Syndr Obes. New Zealand; 2014;7:107–20.
13. Mezquita Raya P, Perez A, Ramirez de Arellano A, Briones T, Hunt B, Valentine WJ. Incretin
therapy for type 2 diabetes in Spain: a cost-effectiveness analysis of liraglutide versus
sitagliptin. Diabetes Ther. United States; 2013 Dec;4(2):417–30.
14. Novo Nordisk. Novo Nordisk Annual Report 2014. 2015.