Antidepressant prescriptions have not fully reflected evolving evidence from cumulative network meta-analyses and guideline recommendations.
Antidepressant
Clinical practice guideline
Evidence-based medicine
Network meta-analysis
Journal
Journal of clinical epidemiology
ISSN: 1878-5921
Titre abrégé: J Clin Epidemiol
Pays: United States
ID NLM: 8801383
Informations de publication
Date de publication:
05 2021
05 2021
Historique:
received:
08
09
2020
revised:
29
11
2020
accepted:
17
12
2020
pubmed:
29
12
2020
medline:
28
9
2021
entrez:
28
12
2020
Statut:
ppublish
Résumé
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. 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. 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. Enhancements including accelerating CPG updates and monitoring the impact of marketing on prescriptions should be considered in future EBM implementation.
Identifiants
pubmed: 33359320
pii: S0895-4356(20)31227-0
doi: 10.1016/j.jclinepi.2020.12.023
pii:
doi:
Substances chimiques
Antidepressive Agents
0
Types de publication
Journal Article
Meta-Analysis
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
14-23Subventions
Organisme : Department of Health
ID : RP-2017-08-ST2-006
Pays : United Kingdom
Organisme : Department of Health
ID : BRC-1215-20,005
Pays : United Kingdom
Informations de copyright
Copyright © 2020 The Author(s). Published by Elsevier Inc. All rights reserved.