Justification and reporting of subgroup analyses were lacking or inadequate in randomized controlled trials
Open accessAbstract
OBJECTIVES: The aim of the article was to assess the appropriateness and rationales of subgroup analyses planned in protocols of randomized controlled trials and reported in subsequent corresponding trial publications. STUDY DESIGN AND SETTING: We searched PubMed to identify trial protocols published in journals during 2006-2017. From a total of 3,774 initially identified records, we included a random sample of 479 protocols and identified 280 trial publications corresponding to the included protocols. RESULTS: Subgroup analyses were specified in 19% of the protocols and reported in 21% of the trial publications. Of the 94 protocols with planned subgroup analyses, 32% mentioned testing for interaction, and only three considered statistical power. Subgroup analyses were not prespecified in 56% of the 59 trial publications with subgroup analyses. Subgroup analyses were stated as prespecified in nine trial publications, without support evidence from the corresponding protocols. Subgroup analyses were often reported insufficiently for assessing the consistency of subgroup effects across studies. Justifications for subgroup analyses were provided in only four trial protocols and seven trial publications. CONCLUSION: Inappropriate specification and reporting of subgroup analyses remain problematic in protocols and reports of randomized controlled trials. Justifications or rationales for subgroup analyses were only rarely provided in trial protocols and reports.
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Reviews have found that for more than half of trials the subgroup analyses reported in publications do not match those described in protocols.
“Reviews have found that for more than half of trials the subgroup analyses reported in publications do not match those described in protocols,64 440 raising concerns about post hoc analyses and selective reporting.”
From SPIRIT 2025 explanation and elaboration: updated guideline for protocols of randomised trials (2025) · cites this paper as [440]
Subgroup analyses are highly susceptible to bias and misinterpretation, particularly if they are inappropriately conducted or selectively reported.
“Although commonly performed,439 440 subgroup analyses are highly susceptible to bias and misinterpretation, particularly if they are inappropriately conducted or selectively reported.”
From SPIRIT 2025 explanation and elaboration: updated guideline for protocols of randomised trials (2025) · cites this paper as [440]
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SPIRIT 2025 explanation and elaboration: updated guideline for protocols of randomised trials
Hróbjartsson, A., Boutron, I., Hopewell, S., Moher, D., Schulz, K. F., Collins, G. S., Tunn, R., Aggarwal, R., Berkwits, M., Berlin, J. A., et al. (2025) · BMJ · doi:10.1136/bmj-2024-081660 · Cited by 171 · see citing works
- Authors
- Fan, J., Song, F., & Bachmann, M. O.
- Affiliations
- University of East Anglia (GB)
- Corresponding author
- Song, Fujian
- Venue
- Journal of Clinical Epidemiology
- Publisher
- Elsevier BV
- Published
- 2019-04
- Volume
- 108
- Pages
- 17-25
- ISSN
- 0895-4356 (ISSN-L)
- OpenAlex
- W2904368649
- Cited by
- 31
- References
- 32
- Citations by year
- 2026: 2 · 2025: 2 · 2024: 3 · 2023: 4 · 2022: 5 · 2021: 3 · 2020: 9 · 2019: 3
- FWCI
- 2.86
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Clinical Epidemiology (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- UEA Digital Repository (University of East Anglia) (submittedVersion)
- Funders
- China Scholarship Council (201608625033)
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
- Physical Sciences › Mathematics › Statistics and Probability › Advanced Causal Inference Techniques
- Keywords
- subgroup analysis, randomized controlled trials, reporting quality, interaction testing, statistical power, treatment effect heterogeneity
- MeSH terms
- Data Interpretation, Statistical, Humans, Publications, Randomized Controlled Trials as Topic
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