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Antidepressant prescriptions have not fully reflected evolving evidence from cumulative network meta-analyses and guideline recommendations.

Authors :
Luo Y
Ostinelli EG
Sahker E
Chaimani A
Kataoka Y
Ogawa Y
Cipriani A
Salanti G
Furukawa TA
Source :
Journal of clinical epidemiology [J Clin Epidemiol] 2021 May; Vol. 133, pp. 14-23. Date of Electronic Publication: 2021 Jan 06.
Publication Year :
2021

Abstract

Objectives: This study compares three major elements of evidence-based medicine (EBM) practices, namely evidence synthesis, clinical practice guidelines (CPGs), and real-world prescriptions in the United States, regarding antidepressant treatments of major depression over the past 3 decades.<br />Study Design and Setting: We conducted network meta-analyses (NMAs) of antidepressants every 5 years up to 2016 based on a comprehensive data set of double-blind randomized controlled trials. We identified CPGs and extracted their recommendations. We surveyed the prescriptions in the United States at 5-year intervals up to 2015.<br />Results: Most drugs recommended by CPGs presented favorable performance in efficacy and acceptability in NMAs. However, CPG recommendations were often in terms of drug classes rather than individual drugs, whereas NMAs suggested distinctive difference between drugs within the same class. The update intervals of all CPGs were longer than 5 years. All the antidepressants prescribed frequently in the United States were recommended by CPGs. However, changes in prescriptions did not correspond to alterations in CPGs or to apparent changes in the effects indicated by NMAs. Many factors including marketing efforts, regulations, or patient values may have played a role.<br />Conclusion: Enhancements including accelerating CPG updates and monitoring the impact of marketing on prescriptions should be considered in future EBM implementation.<br /> (Copyright © 2020 The Author(s). Published by Elsevier Inc. All rights reserved.)

Details

Language :
English
ISSN :
1878-5921
Volume :
133
Database :
MEDLINE
Journal :
Journal of clinical epidemiology
Publication Type :
Academic Journal
Accession number :
33359320
Full Text :
https://doi.org/10.1016/j.jclinepi.2020.12.023