Treatment effects in randomised trials using routinely collected data for outcome assessment versus traditional trials: meta-research study

Author:

Mc Cord Kimberly A,Ewald Hannah,Agarwal Arnav,Glinz Dominik,Aghlmandi Soheila,Ioannidis John P A,Hemkens Lars GORCID

Abstract

Abstract Objective To compare effect estimates of randomised clinical trials that use routinely collected data (RCD-RCT) for outcome ascertainment with traditional trials not using routinely collected data. Design Meta-research study. Data source Studies included in the same meta-analysis in a Cochrane review. Eligibility criteria for study selection Randomised clinical trials using any type of routinely collected data for outcome ascertainment, including from registries, electronic health records, and administrative databases, that were included in a meta-analysis of a Cochrane review on any clinical question and any health outcome together with traditional trials not using routinely collected data for outcome measurement. Review methods Effect estimates from trials using or not using routinely collected data were summarised in random effects meta-analyses. Agreement of (summary) treatment effect estimates from trials using routinely collected data and those not using such data was expressed as the ratio of odds ratios. Subgroup analyses explored effects in trials based on different types of routinely collected data. Two investigators independently assessed the quality of each data source. Results 84 RCD-RCTs and 463 traditional trials on 22 clinical questions were included. Trials using routinely collected data for outcome ascertainment showed 20% less favourable treatment effect estimates than traditional trials (ratio of odds ratios 0.80, 95% confidence interval 0.70 to 0.91, I 2 =14%). Results were similar across various types of outcomes (mortality outcomes: 0.92, 0.74 to 1.15, I 2 =12%; non-mortality outcomes: 0.71, 0.60 to 0.84, I 2 =8%), data sources (electronic health records: 0.81, 0.59 to 1.11, I 2 =28%; registries: 0.86, 0.75 to 0.99, I 2 =20%; administrative data: 0.84, 0.72 to 0.99, I 2 =0%), and data quality (high data quality: 0.82, 0.72 to 0.93, I 2 =0%). Conclusions Randomised clinical trials using routinely collected data for outcome ascertainment show smaller treatment benefits than traditional trials not using routinely collected data. These differences could have implications for healthcare decision making and the application of real world evidence.

Publisher

BMJ

Subject

General Engineering

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