Literature DB >> 32715345

Melancholic features (DSM-IV) predict but do not moderate response to antidepressants in major depression: an individual participant data meta-analysis of 1219 patients.

Hissei Imai1, Hisashi Noma2, Toshi A Furukawa3.   

Abstract

It is sometimes clinically believed that major depression with melancholic features is more responsive to antidepressants than non-melancholic depression. Proper analysis and, therefore, valid evidence to support or refute this common clinical lore is lacking. The sample was taken from three placebo-controlled randomized trials of duloxetine, escitalopram and paroxetine (n = 1219). We conducted a two-step individual participant data meta-analysis to combine linear mixed-effects regressions modeling melancholic features as prognostic factor (variable that predicts overall response regardless of the treatments) and as effect modifier (variable that predict differential response to drug over placebo). Melancholic features represented a statistically significant prognostic factor for greater reduction in depression severity both on antidepressants and on placebo, especially after 4 weeks of treatment. However, they were not an effect modifier of the antidepressant treatment through the acute phase treatment: in other words. The superiority of antidepressants over placebo was not influenced by the melancholic features. The treatment decision-making as to the benefits of antidepressant treatment for patients with major depression should not be influenced by the presence or absence of melancholic features.

Entities:  

Keywords:  Antidepressant; Individual participant data; Major depression; Melancholy; Meta-analysis; Randomized controlled trial

Year:  2020        PMID: 32715345     DOI: 10.1007/s00406-020-01173-4

Source DB:  PubMed          Journal:  Eur Arch Psychiatry Clin Neurosci        ISSN: 0940-1334            Impact factor:   5.270


  4 in total

1.  Metabolomic and inflammatory signatures of symptom dimensions in major depression.

Authors:  Christopher R Brydges; Sudeepa Bhattacharyya; Siamak Mahmoudian Dehkordi; Yuri Milaneschi; Brenda Penninx; Rick Jansen; Bruce S Kristal; Xianlin Han; Matthias Arnold; Gabi Kastenmüller; Mandakh Bekhbat; Helen S Mayberg; W Edward Craighead; A John Rush; Oliver Fiehn; Boadie W Dunlop; Rima Kaddurah-Daouk
Journal:  Brain Behav Immun       Date:  2022-02-04       Impact factor: 19.227

2.  Moving toward a process-oriented perspective in the personalized treatment of depression.

Authors:  Johannes Kopf-Beck; Julia Fietz
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2021-03-05       Impact factor: 5.270

3.  Reading, Conducting, and Developing Systematic Review and Individual Patient Data Meta-Analyses in Psychiatry for Treatment Issues.

Authors:  Nadia Younes; Laurie-Anne Claude; Xavier Paoletti
Journal:  Front Psychiatry       Date:  2021-07-29       Impact factor: 4.157

4.  The sociodemographic and clinical profile of patients with major depressive disorder receiving SSRIs as first-line antidepressant treatment in European countries.

Authors:  Gernot Fugger; Lucie Bartova; Chiara Fabbri; Giuseppe Fanelli; Markus Dold; Marleen Margret Mignon Swoboda; Alexander Kautzky; Joseph Zohar; Daniel Souery; Julien Mendlewicz; Stuart Montgomery; Dan Rujescu; Alessandro Serretti; Siegfried Kasper
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2022-01-06       Impact factor: 5.760

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.