using criteria to appraise a meta-analyses - aur · applicable, included in the meta-analysis)....
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Using Criteria to Appraise a Meta-analyses
Paul CroninB.A., M.B. B.Ch. B.A.O., M.S.,
M.R.C.P.I., .F.R.C.R.
Department of Radiology,
Division of Cardiothoracic Radiology,
University of Michigan, Ann Arbor, Michigan
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AUR 59th Annual MeetingWestin Boston Waterfront,
Boston, Massachusetts
April 12-15, 2011March 23-26 , 2010
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Critical Appraisal of Secondary
Research
• Reviews of the scientific literature
–Selective summaries
• Highly subjective
–Objective summaries
• Quantitative information syntheses of the
best research evidence
• The challenge is where along this
spectrum the review lies
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Principles of Critical Appraisal –
Secondary Literature
• Systematic review and Meta-analysis
of diagnostic test accuracy
– (1) Finding the evidence –
• Framing objectives of the review
• Identifying the relevant literature
– (2) Assessment of study quality and
applicability to the clinical problem at
hand
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Principles of Critical Appraisal –
Secondary Literature
• Systematic review and Meta-analysis
of diagnostic test accuracy
– (3) Summarizing the evidence
• Qualitatively and if appropriate,
quantitatively (meta-analysis)
– (4) Clinical Interpretation
• Application of findings and development of
recommendations
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Questions
• Question 1:
–What is the PICO of the study and is it
close enough to your PICO?
• Question 2:
–How well was the study done?
• Question 3:
–What do the results mean and could they
have been due to chance?
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Question 1
• What is the PICO of the study and is it
close enough to your PICO?
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Finding the Evidence
• Defining the research question
–P – Population / problem
– I – Intervention / index test
–C – Control / reference test
–O – Outcome
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Identifying the Evidence
• Literature search strategy– 1. The target condition of interest (all
subheadings)
– 2. The name of the test (all subheadings) and text
– 3. Combine the results of these searches with Boolean operator “AND”
– 4. Further search terms to restrict the search should only be introduced if this approach produces unmanageably large and non-specific results
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Question 2
• How well was the study done?
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Biases
• Studies that are chosen for inclusion
–Selection bias
• Published in the first place
–Publication bias
• Level of importance attributed to the
study results by the secondary
researcher
• Results are summarized
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QFASSteps EBP Secondary
research
Critical appraisal issue
Q Formulate a
question
(PICO)
Formulate a
question
(PICO)
Does the research ask a
clearly focused
question (PICO) and
use it to direct the
search?
F Find the best
evidence
Find the best
evidence
Did the search find all the
best evidence?
A Appraise the
included
studies
Appraise the
included
studies
Have the studies been
critically appraised?
S Synthesis the
results
(summary tables
and plots)
Have the results been
synthesized with
appropriate summary
tables and plots?
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Question
• Does the research ask a clearly
focused question (PICO) and use it to
direct the search?
–Excluded studies should be recorded
with reasons for the exclusions
• Helps to eliminate selection bias
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Find
• Search strategy
–Did the search find all the best
evidence?
• Use PubMed for MEDLlNE, OLDMEDLINE,
EMBASE, OVID, CANCERLIT, and the
Cochrane Library databases, etc
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Find
• Search strategy
–Did the search find all the best
evidence?
• Searching of relevant journals
• Conference proceedings
• Reference lists of articles in the searches
• Non-English as well as English papers
–Overcoming selection bias
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Find
• Overcoming publication bias
–Much primary research missed because
of “publication bias”
• Reluctant to submit/publish null or negative
results
–Good-quality analysis takes account of
unpublished studies
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Find
• Overcoming publication bias
–Discussed in the methods section
–Check
• Clinical trials registries
–http://www.controlled-trials.com
• Contacting experts
• Conference proceedings
• Internet
• Other sources of unpublished literature
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Appraise
• Have the studies been critically
appraised (using appropriate quality
criteria)?
–Searching has been well done
–Validity of the results and conclusions
depends on the quality of the individual
studies included
–Good-quality analysis should include a
critical appraisal for each of the studies
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Appraise
• Have the studies been critically
appraised (using appropriate quality
criteria)?
–This ideally should be appraised by two
assessors working independently
–Points of disagreement discussed and a
consensus reached
–Critical assessment can be subjective -
avoided a single reviewer
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Quality Appraisal of Evidence
–1. Methods and criteria used for the
selection of the study population
–2. Selection of the reference standard
–3. Execution of index test strategy,
comparator and reference standard
–4. Interpretation of index test,
comparator and reference standard
–5. Analysis of the results
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Quality Appraisal of Evidence
• QUADAS
– QUality
– Assessment
– Diagnostic
– Accuracy
– Studies
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The QUADAS tool
Yes No Unclear
1. Was the spectrum of patients representative of the patients who will receive the test in practice? ( ) ( ) ( )
2. Were selection criteria clearly described? ( ) ( ) ( )
3. Is the reference standard likely to correctly classify the target condition? ( ) ( ) ( )
4.Is the time period between reference standard and index test short enough to be reasonably sure that
the target condition did not change between the two tests?( ) ( ) ( )
5.Did the whole sample or a random selection of the sample, receive verification using a reference
standard of diagnosis?( ) ( ) ( )
6. Did patients receive the same reference standard regardless of the index test result? ( ) ( ) ( )
7.Was the reference standard independent of the index test (i.e. the index test did not form part of the
reference standard)?( ) ( ) ( )
8. Was the execution of the index test described in sufficient detail to permit replication of the test? ( ) ( ) ( )
9. Was the execution of the reference standard described in sufficient detail to permit its replication? ( ) ( ) ( )
10. Were the index test results interpreted without knowledge of the results of the reference standard? ( ) ( ) ( )
11. Were the reference standard results interpreted without knowledge of the results of the index test? ( ) ( ) ( )
12.Were the same clinical data available when test results were interpreted as would be available when
the test is used in practice?( ) ( ) ( )
13. Were uninterpretable/ intermediate test results reported? ( ) ( ) ( )
14. Were withdrawals from the study explained? ( ) ( ) ( )
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Synthesis
• Have the results been synthesized
with appropriate summary tables and
plots?
–Summary of the included studies (table)
–Show the types of studies
• Tests
• Number of subjects
• Results (95% confidence intervals)
–Graphic presentations – “forest plots”
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Synthesis
• Have the results been synthesized
with appropriate summary tables and
plots?
–Heterogeneity should be assessed and
discussed
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Question 3
• What do the results mean?
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Results
• Weighted values to each individual
study according to their size
• Expressed in a standard way
–Sensitivity, specificity, PPV, NPV,
AUROC curve
–RR, OR, etc
• Traditionally displayed in a figure
called a forest plot
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Forest Plot
• Individual studies are represented by
a black square and a horizontal line
–Corresponds to point estimate and 95%
CI
• The size (area) of the black square
reflects the weight of the study
–Weight is proportional to the inverse of
the study variance
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Forest Plot
• The result is not significant at
conventional levels (P > 0.05)
• The diamond at the bottom
represents the combined or pooled
result of all studies with its 95% CI
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Statistical Methods for Pooling Data
• SROC
• Hierarchical
summary ROC
(HSROC)
• Bivariate random-
effects model
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Summary ROC Curve
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Exploring Heterogeneity
• Heterogeneity can be assessed using
the 'eyeball' test
• Formally with statistical tests, such
as I2 and the Cochran chi-square (Q)
test
• The amount of heterogeneity is
calculated as the I2 value
–0 if none near 1 if a lot
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Exploring Heterogeneity
• The statistical significance is
assessed using the Cochran Q test
– If Cochran Q is statistically significant -
there is definite heterogeneity
– If Cochran Q is not statistically
significant but the ratio of Cochran Q
and the degrees of freedom (Q/df) is
greater than 1 - there is possible
heterogeneity
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Exploring Heterogeneity
• The statistical significance is
assessed using the Cochran Q test
– If Cochran Q is not statistically
significant and Q/df is less then 1 - then
heterogeneity is very unlikely
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Exploring Publication Bias
• Funnel plot
• +/- linear
regression
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Assessment of Publication Bias
• Funnel plot
• Non-parametric
linear regression
• Parametric linear
regression
– formally test for
funnel plot
asymmetry
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Clinical Interpretation
of the Evidence
• Fagan plot (Bayes
Nomogram)
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Clinical Interpretation
of the Evidence• Likelihood ratio scattergraph
– 1. Left Upper Quadrant, Likelihood Ratio Positive > 10, Likelihood Ratio Negative <0.1: Exclusion & Confirmation
– 2. Right Upper Quadrant, Likelihood Ratio Positive >10, Likelihood Ratio Negative >0.1: Confirmation Only
– 3. Left Lower Quadrant, Likelihood Ratio Positive <10, Likelihood Ratio Negative <0.1: Exclusion Only
– 4. Right Lower Quadrant, Likelihood Ratio Positive <10, Likelihood Ratio Negative >0.1: No Exclusion or Confirmation
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Clinical Interpretation
of the Evidence
• Predictive Values
and Probability
Modifying Plot
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Probability Modifying Plot
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Section/topic #Preferred Reporting Items for Systematic Reviews and Meta-Analyses
Checklist item
Reported on page #
TITLE
Title 1 Identify the report as a systematic review, meta-analysis, or both.
ABSTRACT
Structured summary 2 Provide a structured summary including, as applicable: background; objectives; data sources; study
eligibility criteria, participants, and interventions; study appraisal and synthesis methods; results;
limitations; conclusions and implications of key findings; systematic review registration number.
INTRODUCTION
Rationale 3 Describe the rationale for the review in the context of what is already known.
Objectives 4 Provide an explicit statement of questions being addressed with reference to participants,
interventions, comparisons, outcomes, and study design (PICOS).
METHODS
Protocol and registration 5 Indicate if a review protocol exists, if and where it can be accessed (e.g., Web address), and, if
available, provide registration information including registration number.
Eligibility criteria 6 Specify study characteristics (e.g., PICOS, length of follow-up) and report characteristics (e.g., years
considered, language, publication status) used as criteria for eligibility, giving rationale.
Information sources 7 Describe all information sources (e.g., databases with dates of coverage, contact with study authors
to identify additional studies) in the search and date last searched.
Search 8 Present full electronic search strategy for at least one database, including any limits used, such that it
could be repeated.
Study selection 9 State the process for selecting studies (i.e., screening, eligibility, included in systematic review, and, if applicable, included in the meta-analysis).
Data collection process 10 Describe method of data extraction from reports (e.g., piloted forms, independently, in duplicate) and
any processes for obtaining and confirming data from investigators.
Data items 11 List and define all variables for which data were sought (e.g., PICOS, funding sources) and any
assumptions and simplifications made.
Risk of bias in individual
studies
12 Describe methods used for assessing risk of bias of individual studies (including specification of
whether this was done at the study or outcome level), and how this information is to be used in any
data synthesis.
Summary measures 13 State the principal summary measures (e.g., risk ratio, difference in means).
Synthesis of results 14 Describe the methods of handling data and combining results of studies, if done, including measures
of consistency (e.g., I2) for each meta-analysis.
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Section/topic # Checklist item Reported on page #
Risk of bias across
studies
15 Specify any assessment of risk of bias that may affect the cumulative evidence (e.g., publication bias,
selective reporting within studies).
Additional analyses 16 Describe methods of additional analyses (e.g., sensitivity or subgroup analyses, meta-regression), if done, indicating which were pre-specified.
RESULTS
Study selection 17 Give numbers of studies screened, assessed for eligibility, and included in the review, with reasons
for exclusions at each stage, ideally with a flow diagram.
Study characteristics 18 For each study, present characteristics for which data were extracted (e.g., study size, PICOS, follow-
up period) and provide the citations.
Risk of bias within
studies
19 Present data on risk of bias of each study and, if available, any outcome level assessment (see item
12).
Results of individual studies
20 For all outcomes considered (benefits or harms), present, for each study: (a) simple summary data for each intervention group (b) effect estimates and confidence intervals, ideally with a forest plot.
Synthesis of results 21 Present results of each meta-analysis done, including confidence intervals and measures of
consistency.
Risk of bias across
studies
22 Present results of any assessment of risk of bias across studies (see Item 15).
Additional analysis 23 Give results of additional analyses, if done (e.g., sensitivity or subgroup analyses, meta-regression
[see Item 16]).
DISCUSSION
Summary of evidence 24 Summarize the main findings including the strength of evidence for each main outcome; consider their
relevance to key groups (e.g., healthcare providers, users, and policy makers).
Limitations 25 Discuss limitations at study and outcome level (e.g., risk of bias), and at review-level (e.g., incomplete
retrieval of identified research, reporting bias).
Conclusions 26 Provide a general interpretation of the results in the context of other evidence, and implications for
future research.
FUNDING
Funding 27 Describe sources of funding for the systematic review and other support (e.g., supply of data); role of
funders for the systematic review.
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AMSTAR 2
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Summary
• Question
–The review is a systematic review based
on a clear clinical question and the PICO
is similar to ours
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Summary
• Find
–The inclusion criteria and search
methods are stated in the methods
section
– Inclusion criteria were based on the
clinical question
–A comprehensive search of the literature
was conducted, including MEDLINE
(PubMed) and EMBASE
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Summary
• Find
–Contacted the authors of included
papers directly and checked the
reference lists for further relevant
papers
–They also searched the Cochrane
controlled trial register for unpublished
clinical trials
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Summary
• Appraise
–The studies were critically appraised
using the QUODAS, DELPHI, Jadad
quality scores
–Scores are shown in the paper
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Summary
• Synthesise
–The paper includes a clear summary
table of the included studies
–Forest plots
–Heterogeneity analysis for the outcomes
–Publication bias
–Clinical interpretation of the evidence
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Using Criteria to Appraise a Meta-analyses
Paul CroninB.A., M.B. B.Ch. B.A.O., M.S.,
M.R.C.P.I., .F.R.C.R.
Department of Radiology,
Division of Cardiothoracic Radiology,
University of Michigan, Ann Arbor, Michigan