Adjustment of meta-analyses on the basis of quality scores should be abandoned
Abstract
Objective To find if a particular quality score was better than others at validly scoring the quality of randomized controlled trials, both by examining the consistency of dividing studies into high and low quality and using a large study as a reference standard.Study design and setting Observational study of meta-analyses from the Cochrane Library. These had to have binary outcomes that included more than 10 studies, one or more of which randomized more than 500 people into each group.Results Eighteen systematic reviews, with 65 meta-analyses using binary outcomes, were included and the included trials were scored for 43 different quality scores. None of these scores was better at dividing the studies in to low and high quality, and none of the scores was better over the 65 meta-analyses in making the result closer to the reference standard.Conclusion None of the quality scores found appeared to measure quality validly. It is a mistake to assign meaning to the result of a quality score.
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The study performed three complementary quality and risk-of-bias analyses.
“Recognising that quality score use in meta-analyses remains controversial,12,13 we did three complementary quality and risk of bias analyses.”
From The effect of a reduction in alcohol consumption on blood pressure: a systematic review and meta-analysis (2017) · cites this paper as [13]
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- Authors
- Herbison, P., Hay-Smith, J., & Gillespie, W. J.
- Affiliations
- University of Otago (NZ)
- Hull York Medical School (GB)
- Corresponding author
- Herbison, Peter
- Venue
- Journal of Clinical Epidemiology
- Publisher
- Elsevier BV
- Published
- 2006-12
- Volume
- 59
- Issue
- 12
- Pages
- 1249.e1-1249.e11
- ISSN
- 0895-4356 (ISSN-L)
- OpenAlex
- W2071955543
- Cited by
- 207
- References
- 73
- Citations by year
- 2026: 3 · 2025: 6 · 2024: 4 · 2023: 5 · 2022: 20 · 2021: 6 · 2020: 6 · 2019: 10 · 2018: 15 · 2017: 14 · 2016: 8 · 2015: 16 · 2014: 17 · 2013: 20 · 2012: 11
- FWCI
- 2.58
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Clinical Epidemiology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Social Sciences › Sociology and Political Science › Delphi Technique in Research
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
- Keywords
- quality scores, trial quality assessment, systematic reviews, binary outcomes, Cochrane Library
- MeSH terms
- Humans, Reference Standards, Review Literature as Topic, Meta-Analysis as Topic, Reproducibility of Results, Bias, Randomized Controlled Trials as Topic
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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