Literature DB >> 21885128

Meta-review of depressive subtyping models.

Baumeister Harald1, Parker Gordon.   

Abstract

BACKGROUND: Increasing dissatisfaction with the non-specificity of major depression has led many to propose more specific depressive subtyping models. The present meta-review seeks to map dominant depressive subtype models, and highlight definitions and overlaps.
METHODS: A database search in Medline and EMBASE of proposed depressive subtypes, and limited to reviews published between 2000 and 2011, was undertaken. Of the more than four thousand reviews, 754 were judged as potentially relevant and provided the base for the present selective meta-review.
RESULTS: Fifteen subtype models were identified. The subtypes could be divided into five molar categories of (1) symptom-based subtypes, such as melancholia, psychotic depression, atypical depression and anxious depression, (2) aetiologically-based subtypes, exemplified by adjustment disorders, early trauma depression, reproductive depression, perinatal depression, organic depression and drug-induced depression, (3) time of onset-based subtypes, as illustrated by early and late onset depression, as well as seasonal affective disorder, (4) gender-based (e.g. female) depression, and (5) treatment resistant depression. An overview considering definition, bio-psycho-social correlates and the evidence base of treatment options for each subtype is provided. LIMITATIONS: Despite the large data base, this meta-review is nevertheless narrative focused.
CONCLUSIONS: Subtyping depression is a promising attempt to overcome the non-specificity of many diagnostic constructs such as major depression, both in relation to their intrinsic non-specificity and failure to provide treatment-specific information. If a subtyping model is to be advanced it would need, however, to demonstrate differential impacts of causes and treatments.
Copyright © 2011 Elsevier B.V. All rights reserved.

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Mesh:

Year:  2011        PMID: 21885128     DOI: 10.1016/j.jad.2011.07.015

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


  68 in total

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9.  Changes of grey matter volume in first-episode drug-naive adult major depressive disorder patients with different age-onset.

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