Predicting relapse or recurrence of depression:A systematic review of prognostic models

Moriarty, Andrew orcid.org/0000-0003-0770-3262, Meader, Nick orcid.org/0000-0001-9332-6605, Snell, Kym Ie et al. (10 more authors) (2022) Predicting relapse or recurrence of depression:A systematic review of prognostic models. British Journal of Psychiatry. pp. 1-19. ISSN 1472-1465

Metadata

Item Type: Article
Authors/Creators:
Copyright, Publisher and Additional Information:

© The Author(s), 2022. Published by Cambridge University Press on behalf of the Royal College of Psychiatrists. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy.

Dates:
  • Published (online): 11 January 2022
  • Accepted: 12 December 2021
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Hull York Medical School (York)
The University of York > Faculty of Sciences (York) > Health Sciences (York)
The University of York > Faculty of Social Sciences (York) > Centre for Reviews and Dissemination (York)
Funding Information:
Funder
Grant number
NIHR-CCF
DRF-2018-11-ST2-044
Depositing User: Pure (York)
Date Deposited: 15 Dec 2021 16:20
Last Modified: 25 Feb 2025 00:07
Published Version: https://doi.org/10.1192/bjp.2021.218
Status: Published online
Refereed: Yes
Identification Number: 10.1192/bjp.2021.218
Open Archives Initiative ID (OAI ID):

Download

Filename: Prognostic_models_for_depression_for_BJPsych_Reviewer_Response_Clean_.docx

Description: Prognostic models for depression for BJPsych Reviewer Response (Clean)

Licence: CC-BY-NC-ND 2.5

Export

Statistics