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Treatment effect modification due to comorbidity: Individual participant data meta-analyses of 120 randomised controlled trials.

Peter HanlonElaine W ButterlyAnoop S V ShahLaurie John HanniganJames LewseyFrances S MairDavid M KentBruce GuthrieSarah D WildNicky J WeltonSofia DiasDavid A McAllister
Published in: PLoS medicine (2023)
Assessments of treatment effect modification rarely consider comorbidity. Our findings demonstrate that for trials included in this analysis, there was no empirical evidence of treatment effect modification by comorbidity. The standard assumption used in evidence syntheses is that efficacy is constant across subgroups, although this is often criticised. Our findings suggest that for modest levels of comorbidities, this assumption is reasonable. Thus, trial efficacy findings can be combined with data on natural history and competing risks to assess the likely overall benefit of treatments in the context of comorbidity.
Keyphrases
  • systematic review
  • clinical trial
  • randomized controlled trial
  • combination therapy
  • meta analyses
  • electronic health record
  • big data
  • human health
  • deep learning
  • smoking cessation