How personalized are benefit and harm results of randomized trials? A systematic review

J Clin Epidemiol. 2020 Oct:126:17-25. doi: 10.1016/j.jclinepi.2020.05.029. Epub 2020 Jun 9.

Abstract

Objectives: This study aimed to review the degree of personalization of benefit and harm in the reporting of recent high-profile randomized controlled trials (RCTs) involving pharmacological interventions.

Study design and setting: This study is a systematic review of RCTs published between 2012 and 2017 with at least one intervention evaluating drug therapy and meeting the "high-profile" threshold in a premier academic literature abstraction service. Our primary outcome was the proportion of trials reporting subgroup analyses of a combined benefit-harm outcome. Secondary outcomes included the proportion of trials reporting subgroup analyses or clinical prediction guide for benefits or harms. We assessed the quality of the subgroup analyses using a modified version of previously published credibility criteria.

Results: Of 296 eligible RCTs, nine studies (3%) reported a combined benefit-harm endpoint. We found subgroup analyses of a combined benefit-harm endpoint in three studies (1%), a benefit endpoint in 167 studies (56.4%), and a harm endpoint in 18 studies (6.1%). The overall quality of the subgroup analyses was poor. Only one study reported a clinical prediction guide for an outcome.

Conclusion: Despite great interest in the personalization of therapies, it is rarely reported in high-profile trials. Lack of rigorous and widely accepted methods may be the major barrier.

Keywords: Benefits and harms; Drug therapy; Personalization; Prediction guides; Subgroup analyses; Systematic review.

Publication types

  • Systematic Review

MeSH terms

  • Aged, 80 and over
  • Drug Therapy / statistics & numerical data*
  • Drug Therapy / trends
  • Female
  • Forecasting
  • Humans
  • Male
  • Outcome Assessment, Health Care
  • Precision Medicine / methods
  • Precision Medicine / statistics & numerical data
  • Randomized Controlled Trials as Topic / statistics & numerical data*
  • Risk Assessment / statistics & numerical data*
  • Risk Assessment / trends