Prespecification of subgroup analyses and examination of treatment-subgroup interactions in cancer individual participant data meta-analyses are suboptimal
2Evidence-Based Medicine Center, Tianjin University of Traditional Chinese Medicine, Tianjin, China, China
3Public Health and Health Services Research, Norwich Medical School, University of East Anglia, Norwich, UK, UK
Background: The results of subgroup analyses may have a significant impact on clinical and public health decision-making. How often cancer individual participant data meta-analyses (IPDMAs) prespecify subgroup analyses, conduct planned subgroup analyses, and use daft (across-trial interaction alone), deluded (within-trial and across-trial interactions combined), or deft (within-trial interaction alone) approach to assess the treatment-subgroup interactions remain unclear.
Objectives: This study aimed to explore the prespecification and conduct of subgroup analyses in cancer individual participant data meta-analyses (IPDMAs).
Methods: We searched PubMed, Embase.com, Cochrane Library, and Web of Science to identify IPDMAs of randomized controlled trials evaluating intervention effects for cancer. We evaluated how often cancer IPDMAs prespecify subgroup analyses and statistical approaches for examining treatment-subgroup interactions and handling continuous subgroup variables.
Results: We included 89 IPDMAs, of which 41 (46.1%) reported a statistically significant treatment-subgroup interaction (P < 0.05) in at least one subgroup analysis. 47 (52.8%) IPDMAs prespecified methods for conducting subgroup analyses and the remaining 42 (47.2%) did not prespecify subgroup analyses. Of the 47 IPDMAs prespecified subgroup analyses, 19 performed the planned subgroup analyses, 21 added subgroup analyses, 7 reduced subgroup analyses. Eighty IPDMAs examined treatment-subgroup interactions, but 72 IPDMAs did not provide enough information to determine whether an appropriate approach that avoided aggregation bias was used. 85 IPDMAs that used continuous variables in subgroup analyses categorized continuous variables and only 1 IPDMA examined non-linear relationships.
Conclusions: Many cancer IPDMAs did not prespecify subgroup analyses, nor did they fully perform planned subgroup analyses. Lack of details for the test of treatment-subgroup interactions and examination of non-linear interactions was suboptimal.
Patient, public and/or healthcare consumer involvement: NA.