Literature DB >> 32217079

Controversy and Debate on Meta-epidemiology. Paper 1: Treatment effect sizes vary in randomized trials depending on the type of outcome measure.

Dorthe B Berthelsen1, Elisabeth Ginnerup-Nielsen1, Carsten Juhl2, Hans Lund3, Marius Henriksen4, Asbjørn Hróbjartsson5, Sabrina M Nielsen1, Marieke Voshaar6, Robin Christensen7.   

Abstract

OBJECTIVE: To compare estimated treatment effects of physical therapy (PT) between patient-reported outcome measures (PROMs) and outcomes measured in other ways. STUDY DESIGN AND
SETTING: We selected randomized trials of PT with both a PROM and a non-PROM included in Cochrane systematic reviews (CSRs). Two reviewers independently extracted data and risk-of-bias assessments. Our primary outcome was the ratio of odds ratios (RORs), used to quantify how effect varies between PROMs and non-PROMs; an ROR > 1 indicates larger effect when assessed by using PROMs. We used REML-methods to estimate associations of trial characteristics with effects and between-trial heterogeneity.
RESULTS: From 90 relevant CSRs, 205 PT trials were included. The summary ROR across all the comparisons was not statistically significant (ROR, 0.88 [95% CI: 0.70-1.12]; P = 0.30); however, the heterogeneity was substantial (I2 = 88.1%). When stratifying non-PROMs further into clearly objective non-PROMs (e.g., biomarkers) and other non-PROMs (e.g., aerobic capacity), the PROMs appeared more favorable than did clearly objective non-PROMs (ROR, 1.92 [95% CI: 0.99-3.72]; P = 0.05).
CONCLUSION: Estimated treatment effects based on PROMs are generally comparable with treatment effects measured in other ways. However, in our study, PROMs indicate a more favorable treatment effect compared with treatment effects based on clearly objective outcomes.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Effect size; Meta-Research; Meta-epidemiology; Patient-involvement; Patient-reported outcome measures; Physical therapy

Mesh:

Year:  2020        PMID: 32217079     DOI: 10.1016/j.jclinepi.2019.10.016

Source DB:  PubMed          Journal:  J Clin Epidemiol        ISSN: 0895-4356            Impact factor:   6.437


  1 in total

1.  Trial-level characteristics associate with treatment effect estimates: a systematic review of meta-epidemiological studies.

Authors:  Huan Wang; Jinlu Song; Yali Lin; Wenjie Dai; Yinyan Gao; Lang Qin; Yancong Chen; Wilson Tam; Irene Xy Wu; Vincent Ch Chung
Journal:  BMC Med Res Methodol       Date:  2022-06-15       Impact factor: 4.612

  1 in total

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