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How to use a subgroup analysis: users' guide to the medical literature

Sun, Xin
Ioannidis, John P A
Alba, Ana C
Guyatt, Gordon
Published in JAMA (Journal of the American Medical Association). 2014, vol. 311, no. 4, p. 405-411
Abstract Clinicians, when trying to apply trial results to patient care, need to individualize patient care and, potentially, manage patients based on results of subgroup analyses. Apparently compelling subgroup effects often prove spurious, and guidance is needed to differentiate credible from less credible subgroup claims. We therefore provide 5 criteria to use when assessing the validity of subgroup analyses: (1) Can chance explain the apparent subgroup effect; (2) Is the effect consistent across studies; (3) Was the subgroup hypothesis one of a small number of hypotheses developed a priori with direction specified; (4) Is there strong preexisting biological support; and (5) Is the evidence supporting the effect based on within- or between-study comparisons. The first 4 criteria are applicable to individual studies or systematic reviews, the last only to systematic reviews of multiple studies. These criteria will help clinicians deciding whether to use subgroup analyses to guide their patient care.
Keywords Data Interpretation, StatisticalDecision MakingEvidence-Based MedicineGuidelines as TopicMeta-Analysis as TopicPatient CareRandomized Controlled Trials as TopicResearch DesignReview Literature as Topic
PMID: 24449319
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Research group Epidémiologie clinique (115)
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SUN, Xin et al. How to use a subgroup analysis: users' guide to the medical literature. In: JAMA, 2014, vol. 311, n° 4, p. 405-411. doi: 10.1001/jama.2013.285063 https://archive-ouverte.unige.ch/unige:90329

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Deposited on : 2016-12-15

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