More Than the Sum of Its Parts: Meta-Analysis and Its Potential to Discover Sources of Heterogeneity in Psychosomatic Medicine
Open accessAbstract
Meta-analyses may contribute to more reliable knowledge about the existence of certain relations in the area of psychosomatic research. Surprisingly, the increasing popularity of meta-analysis is not reflected in the number of meta-analyses of observational studies published in Psychosomatic Medicine. This may be due to the specific difficulties that apply to meta-analyses of observational research. The aim of this paper is to provide a nontechnical overview of the principles of meta-analysis applied to observational research. We will highlight general principles of meta-analysis and discuss the major threats to its validity, with an emphasis on its specific merits and pitfalls for psychosomatic research, using several examples. We conclude that meta-analysis is a relatively simple technique, leaving little reason for not routinely applying it when performing a systematic review. An adequately conducted meta-analysis may not only provide a summary estimate of a certain association, but it has additional value in discovering relevant confounders, mediators, and moderators, as well as identifying areas of research that require more attention.
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- Authors
- Tak, L. M., Meijer, A., Manoharan, A., de Jonge, P., & Rosmalen, J. G. M.
- Affiliations
- University Medical Center Groningen (NL)
- Corresponding author
- Rosmalen, Judith G. M.
- Venue
- Psychosomatic Medicine
- Published
- 2010-04
- Volume
- 72
- Issue
- 3
- Pages
- 253-265
- ISSN
- 0033-3174 (ISSN-L)
- OpenAlex
- W2053234536
- Cited by
- 23
- References
- 89
- Citations by year
- 2023: 1 · 2022: 3 · 2021: 2 · 2019: 1 · 2018: 2 · 2016: 3 · 2015: 2 · 2014: 2 · 2013: 2 · 2012: 2
- FWCI
- 2.31
- Type
- journal article
- Language
- en
- Open access
- green
- research.rug.nl
- Licence
- other-oa
- Locations
- Psychosomatic Medicine (publishedVersion)
- PubMed (publishedVersion)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (publishedVersion, other-oa)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (submittedVersion, other-oa)
- Funders
- Medical Research Council
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
- Physical Sciences › Mathematics › Statistics and Probability › Advanced Causal Inference Techniques
- Keywords
- meta-analysis, observational studies, heterogeneity, threats to validity, confounders, mediators, moderators, systematic reviews, research priorities
- MeSH terms
- Clinical Trials as Topic, Humans, Psychosomatic Medicine, Review Literature as Topic, Meta-Analysis as Topic, Reproducibility of Results, Randomized Controlled Trials as Topic, Biomedical Research
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