Systematic review and meta-analysis Flashcards
What is a systematic review?
aims to answer defined research question by collecting and summarising empirical evidence that fits specific eligibility criteria from more than one study
What is a meta analysis?
refers to statistical techniques used in a systematic review to integrate the results of studies
combines the estimates of effect from each study to ESTIMATE POOLED RISK
- allows more subjects to be included so effect estimated more reliable and precise
- difference (heterogeneity) identified and explored and if too great, cannot pool results
Why do a systematic review?
- data quantity (increase number of studies/paper over years)
- data quality
- individual studies not powerful enough to answer research question so SR allows generalisable conclusions to be made through summarising knowledge around research question
- many studies of same question yield inconsistent/opposing results
How to assess quantity and quality of data?
efficient searching of data (literature)
apply formal rules for critical appraisal of data sources
Advantages of systematic approach?
- transparent method as methods to identify and reject studies are explicit
- meta analysis can be used to improve power by enhancing precision of estimates of treatment effects, account for sample size, uncertainties
Stage I systematic review?
planning review
- define research question
Stage II systematic review?
identify research select studies - define inclusion/exclusion criteria study quality assessment - assess bias - against specific criteria
Stage III of systematic review?
report and dissemination
- collect study details for eligible studies on sample size, interventions/exposure, population details, summary of findings
Last stage of systematic review?
estimate overall effect by combining data, if meta analysis is appropriate
Advantages of meta-analysis?
- generate pooled risk estimate
- more reliable/precise estimate of effect
- explore heterogeneity between published studies
- identify if publication bias present
Disadvantage of meta-analysis?
- publication bias
- labour intensive
- inconsistent results due to difference in studies
- low study quality
What is the most common way of visually summarising results of meta analysis ?
Forest plot
shows results from studies and meta-analysis results
How is statistics of systematic review done?
studies in SR generate individual effect estimates
meta-analysis pools these estimates to generate weighted average effect across all studies
What is publication bias?
greater likelihood of research with statistically significant results to be published in peer reviewed literature
may not include all data in meta-analysis leading to effect of exposure/intervention being over or under estimated
How is publication bias explored?
Funnel plots
show whether there is a link between study size (precision) and effect estimate
What is heterogeneity and how is it explored?
studies that answer same question may still differ by design
explored using Galbraith (radial) plots
but if too much heterogeneity, not appropriate to pool studies
Limitations in systematic review?
- if few studies that match eligibility criteria, SR may not add much to review
- methodological quality of study may be poor
- publication bias can distort findings as stat significant findings more likely to get published
Critically appraise SR?
- clear, predefined question?
- comprehensive search for literature?
- methodological quality of studies assessed?
- heterogeneity explored?
- evidence credible?
- check guidelines for reporting PRISMA?
Critically appraise MA?
- heterogeneity explored?
- publication bias an issue?
- was it appropriate to pool studies?
- appropriate model used to pool effect estimates?
- did different sub groups of studies give similar results?
What 3 things do MA do?
- better estimate of intervention/exposure effect
- understand similarities/difference between studies
- assess publication bias
What do SR/MA do ?
provide evidence base for clinical decisions