Cited by 55Meta-analysis and systematic reviewsStatistical Methods in EpidemiologyDelphi Technique in Research

Basic concepts in meta-analysis: a primer for clinicians

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KHOSHDEL, A., ATTIA, J., CARNEY, S. L.·2006·International Journal of Clinical Practice

Abstract

With the expanding volume of medical literature, meta-analysis, a form of systematic review, has become indispensable for clinicians for evidence-based decision making. While the number of meta-analyses has substantially increased during recent years, there are still controversial issues regarding their methodology, interpretation and clinical application. In this review, the basic concepts of meta-analysis have been discussed from a clinician's perspective in order to facilitate its understanding, appraising and applicability in clinical practice. Although randomised controlled trials are the usual source for meta-analysis, observational studies are also being increasingly considered for meta-analysis. Like every other research design, meta-analysis starts with formulating a question, followed by searching for related data, based on predefined criteria and strategies. Inclusion of studies must be carried out with careful consideration of their quality and assessment of homogeneity using graphical means as well as statistical tools such as Q statistics, I(2) statistics and meta-regression. The pooled effect size is commonly calculated using either a 'fixed effect model' or 'random effect model'. Publication bias and other source of bias should be investigated and the impact of potential confounders should be eliminated as required. Given the above-mentioned considerations, meta-analysis can provide a more precise estimate of an effect size to be used in clinical decision making.

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Research works printed but not linked: 4

  1. Egger M, Smith GD, Altman DG. Systematic Review in Health Care. London, UK: BMJ Books, 2001.
  2. Cochrane and Collaboration. Cochrane Library, 2004. http:// www.cochrane.org: Oxford, UK.
  3. Stroup DF, Berlin JA, Morton SC et al. Meta-analysis of observational studies in epidemiology: a proposal for reporting. Meta-analysis of Observational Studies in Epidemiology (MOOSE) group. JAMA 2000; 283: 2008-12.
  4. Alexander L, Hartmann K, Schoenbach V. Health care epi- demiology: meta-analysis. ERIC Noteb 2003; 28: 1-5.

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Authors
KHOSHDEL, A., ATTIA, J., & CARNEY, S. L.
Affiliations
  • John Hunter Hospital (AU)
  • University of Newcastle Australia (AU)
Corresponding author
KHOSHDEL, A.
Venue
International Journal of Clinical Practice
Published
2006-09-08
Volume
60
Issue
10
Pages
1287-1294
ISSN
1368-5031 (ISSN-L)
OpenAlex
W1525151941
Cited by
55
References
29
Citations by year
2026: 2 · 2025: 5 · 2024: 4 · 2023: 3 · 2022: 3 · 2021: 3 · 2020: 1 · 2018: 3 · 2017: 1 · 2016: 3 · 2015: 1 · 2014: 3 · 2013: 3 · 2012: 1
FWCI
1.39
Type
journal article
Language
en
Open access
Locations
  • International Journal of Clinical Practice (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
  • Social Sciences › Sociology and Political Science › Delphi Technique in Research
Keywords
meta-analysis, systematic reviews, evidence-based medicine, randomized controlled trials, observational studies, study quality assessment, heterogeneity, publication bias, confounding, fixed effects model, random effects models, pooled effect size, meta-regression, clinical decision-making
MeSH terms
Data Collection, Regression Analysis, Meta-Analysis as Topic, Bias, Randomized Controlled Trials as Topic

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