Literature DB >> 29522947

Are studies of psychotherapies for depression more or less generalizable than studies of antidepressants?

Lorenzo Lorenzo-Luaces1, Mark Zimmerman2, Pim Cuijpers3.   

Abstract

BACKGROUND: The generalizability of findings from studies exploring the efficacy of psychotherapy and antidepressants has been called into question in part because studies exclude many patients. Despite this, the frequency with which psychotherapy and antidepressant studies use specific inclusion and exclusion criteria has never been compared. We explored the exclusion criteria used in psychotherapy and pharmacotherapy studies from 1995 to 2014.
METHOD: Systematic literature searches were conducted in PubMed, Medline, PsycINFO, and Embase of published randomized controlled trials (RCTs) of the treatment of major depressive disorder (MDD) in adults with either antidepressants (vs. placebos) or psychotherapy (vs. placebos, treatments as usual, or other controls).
RESULTS: Most psychotherapy (81%) and antidepressant (100%) trials excluded patients with milder symptoms as well as patients with elevated suicidal risk (56-75%), psychotic symptoms (84-88%), or substance misuse (75-81%). Psychotherapy studies were less likely to exclude patients on the basis of brief episode duration (0% vs. 48%) and co-morbid Axis I disorders (6% vs. 27%). However, psychotherapy studies excluded patients with more severe symptoms more frequently (38%) than antidepressant studies (8%).
CONCLUSIONS: Overall, psychotherapy studies appear somewhat more inclusive than antidepressant studies. On average, antidepressant studies appear to target patients with more chronic and severe, as well as more purely depressive presentations.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Depression; Exclusion criteria; Generalizability; Pharmacotherapy; Psychotherapy

Mesh:

Substances:

Year:  2018        PMID: 29522947     DOI: 10.1016/j.jad.2018.02.066

Source DB:  PubMed          Journal:  J Affect Disord        ISSN: 0165-0327            Impact factor:   4.839


  5 in total

1.  Personalized prognostic prediction of treatment outcome for depressed patients in a naturalistic psychiatric hospital setting: A comparison of machine learning approaches.

Authors:  Christian A Webb; Zachary D Cohen; Courtney Beard; Marie Forgeard; Andrew D Peckham; Thröstur Björgvinsson
Journal:  J Consult Clin Psychol       Date:  2020-01

2.  Outcomes of student trainee-delivered cognitive-behavioral therapy (CBT) on internalizing symptoms, CBT skills, and life satisfaction.

Authors:  Allison Peipert; Natalie Rodriguez-Quintana; Lorenzo Lorenzo-Luaces
Journal:  Int J Cogn Ther       Date:  2022-01-29

3.  The clinical characterization of the adult patient with depression aimed at personalization of management.

Authors:  Mario Maj; Dan J Stein; Gordon Parker; Mark Zimmerman; Giovanni A Fava; Marc De Hert; Koen Demyttenaere; Roger S McIntyre; Thomas Widiger; Hans-Ulrich Wittchen
Journal:  World Psychiatry       Date:  2020-10       Impact factor: 49.548

4.  The Generalizability of Randomized Controlled Trials of Self-Guided Internet-Based Cognitive Behavioral Therapy for Depressive Symptoms: Systematic Review and Meta-Regression Analysis.

Authors:  Lorenzo Lorenzo-Luaces; Emily Johns; John R Keefe
Journal:  J Med Internet Res       Date:  2018-11-09       Impact factor: 5.428

Review 5.  Effects of somatic treatments on suicidal ideation and completed suicides.

Authors:  Elise M Hawkins; William Coryell; Stephen Leung; Sagar V Parikh; Cody Weston; Paul Nestadt; John I Nurnberger; Adam Kaplin; Anupama Kumar; Ali A Farooqui; Rif S El-Mallakh
Journal:  Brain Behav       Date:  2021-10-17       Impact factor: 2.708

  5 in total

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