Literature DB >> 19674382

Algorithm-guided treatment versus treatment as usual for major depression.

Aihide Yoshino1, Takehito Sawamura, Nobuhisa Kobayashi, Sachi Kurauchi, Aki Matsumoto, Soichiro Nomura.   

Abstract

AIMS: The remission rates for patients with major depressive disorder (MDD) during algorithm-guided treatment (AGT), which consisted of four treatment strategy steps were prospectively compared with treatment as usual (TAU).
METHODS: The remission rates of patients with mild or moderate MDD during AGT (n = 83) were compared with TAU (n = 127).
RESULTS: The remission rate in the AGT group (60.2%) was approximately 10% greater than that in the TAU group (49.7%). The median number of days to achieve remission in the AGT group (93 days) was half as long as that in the TAU group (191 days). The hazard ratio of remission was 1.5 (95% confidence interval: = 1.2-1.8). A higher rate of lithium augmentation in the AGT group (20.5%) compared to the TAU (4.7%) may have led to the greater remission rate. Most participants who did not achieve remission either during the initial or second treatment steps dropped out from AGT.
CONCLUSIONS: AGT may be superior to TAU for patients with mild or moderate MDD, based on the remission rates achieved. The later treatment steps in the AGT, however, were rarely utilized because participants who did not receive any benefit dropped out early.

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Year:  2009        PMID: 19674382     DOI: 10.1111/j.1440-1819.2009.02009.x

Source DB:  PubMed          Journal:  Psychiatry Clin Neurosci        ISSN: 1323-1316            Impact factor:   5.188


  5 in total

Review 1.  [Treatment pathways in the care of patients with schizophrenia and depression].

Authors:  H J Salize; E Voß; A Werner; P Falkai; I Hauth
Journal:  Nervenarzt       Date:  2015-11       Impact factor: 1.214

2.  Detecting Critical Decision Points during Cognitive-Behavioral Therapy and Light Therapy for Winter Depression Nonremission and Recurrence.

Authors:  Kelly J Rohan; Julia Camuso; Jessica Perez; Praise Iyiewuare; Jonah Meyerhoff; Michael J DeSarno; Pamela M Vacek
Journal:  J Behav Cogn Ther       Date:  2020-10-29

Review 3.  Atypical antipsychotic augmentation strategies in the context of guideline-based care for the treatment of major depressive disorder.

Authors:  Ashwin A Patkar; Chi-Un Pae
Journal:  CNS Drugs       Date:  2013-05       Impact factor: 5.749

4.  How Effective Is Algorithm-Guided Treatment for Depressed Inpatients? Results from the Randomized Controlled Multicenter German Algorithm Project 3 Trial.

Authors:  Mazda Adli; Katja Wiethoff; Thomas C Baghai; Robert Fisher; Florian Seemüller; Gregor Laakmann; Peter Brieger; Joachim Cordes; Jaroslav Malevani; Gerd Laux; Iris Hauth; Hans-Jürgen Möller; Klaus-Thomas Kronmüller; Michael N Smolka; Peter Schlattmann; Maximilian Berger; Roland Ricken; Thomas J Stamm; Andreas Heinz; Michael Bauer
Journal:  Int J Neuropsychopharmacol       Date:  2017-09-01       Impact factor: 5.176

5.  Evaluation of the psychometric properties of the Persian version of the Pittsburgh Sleep Quality Index in depressed patients.

Authors:  Shahrzad Khosravifar; Mirfarhad Ghaleh Bandi; Kaveh Alavi; Pariasadat Haj Seied Javadi
Journal:  Electron Physician       Date:  2015-12-20
  5 in total

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