Literature DB >> 11822262

Statistical heterogeneity in systematic reviews of clinical trials: a critical appraisal of guidelines and practice.

Julian Higgins1, Simon Thompson, Jonathan Deeks, Douglas Altman.   

Abstract

OBJECTIVE: Heterogeneity between study results can be a problem in any systematic review or meta-analysis of clinical trials. Identifying its presence, investigating its cause and correctly accounting for it in analyses all involve difficult decisions for the researcher. Our objectives were: to collate recommendations on the subject of dealing with heterogeneity in systematic reviews of clinical trials; to investigate current practice in addressing heterogeneity in Cochrane reviews; and to compare current practice with recommendations.
METHODS: We review guidelines for those undertaking systematic reviews and examine how heterogeneity is addressed in practice in a sample of systematic reviews, and their protocols, from the Cochrane Database of Systematic Reviews.
RESULTS: Advice to reviewers is on the whole consistent and sensible. However, examination of a sample of Cochrane protocols and reviews demonstrates that the advice is difficult to follow given the small numbers of studies identified in many systematic reviews, the difficulty of pre-specifying important effect modifiers for subgroup analysis or meta-regression and the unresolved debate concerning fixed versus random effects meta-analyses. There was disagreement between protocols and reviews, often either regarding choice of important potential effect modifiers or due to the review identifying too few studies to perform planned analyses.
CONCLUSION: Guidelines that address practical issues are required to reduce the risk of spurious findings from investigations of heterogeneity. This may involve discouraging statistical investigations such as subgroup analyses and meta-regression, rather than simply adopting a cautious approach to their interpretation, unless a large number of studies is available. The notion of a priori specification of potential effect modifiers for a retrospective review of studies is ill-defined, and the appropriateness of using a statistical test for heterogeneity to decide between analysis strategies is suspect.

Mesh:

Year:  2002        PMID: 11822262     DOI: 10.1258/1355819021927674

Source DB:  PubMed          Journal:  J Health Serv Res Policy        ISSN: 1355-8196


  178 in total

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Review 2.  Measuring inconsistency in meta-analyses.

Authors:  Julian P T Higgins; Simon G Thompson; Jonathan J Deeks; Douglas G Altman
Journal:  BMJ       Date:  2003-09-06

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8.  Metabolic effects of interventions to increase exercise in adults with type 2 diabetes.

Authors:  V S Conn; A R Hafdahl; D R Mehr; J W LeMaster; S A Brown; P J Nielsen
Journal:  Diabetologia       Date:  2007-03-07       Impact factor: 10.122

Review 9.  The Prediction of Radiotherapy Toxicity Using Single Nucleotide Polymorphism-Based Models: A Step Toward Prevention.

Authors:  Sarah L Kerns; Suman Kundu; Jung Hun Oh; Sandeep K Singhal; Michelle Janelsins; Lois B Travis; Joseph O Deasy; A Cecile J E Janssens; Harry Ostrer; Matthew Parliament; Nawaid Usmani; Barry S Rosenstein
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Review 10.  Malignant transformation of sinonasal inverted papilloma and related genetic alterations: a systematic review.

Authors:  M Re; F M Gioacchini; A Bajraktari; M Tomasetti; S Kaleci; C Rubini; A Bertini; G Magliulo; E Pasquini
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