000			02854 am a22003253u 4500
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100	1	0	_aCohen, Zachary D. _eauthor _92496
700	1	0	_aDeRubeis, Robert J. _eauthor _92497
700	1	0	_aHayes, Rachel _eauthor _92498
700	1	0	_aWatkins, Edward R. _eauthor _92499
700	1	0	_aLewis, Glyn _eauthor _92500
700	1	0	_aByng, Richard _eauthor _92501
700	1	0	_aByford, Sarah _eauthor _92502
700	1	0	_aCrane, Catherine _eauthor _92503
700	1	0	_aKuyken, Willem _eauthor _92504
700	1	0	_aDalgleish, Tim _eauthor _91970
700	1	0	_aSchweizer, Susanne _eauthor _91969
245	0	0	_aThe Development and Internal Evaluation of a Predictive Model to Identify for Whom Mindfulness-Based Cognitive Therapy Offers Superior Relapse Prevention for Recurrent Depression Versus Maintenance Antidepressant Medication
260			_bSAGE Publications, _c2022-04-29.
500			_a/pmc/articles/PMC7614103/
500			_a/pubmed/36698442
520			_aDepression is highly recurrent, even following successful pharmacological and/or psychological intervention. We aimed to develop clinical prediction models to inform adults with recurrent depression choosing between antidepressant medication (ADM) maintenance or switching to mindfulness-based cognitive therapy (MBCT). Using previously published data (N = 424), we constructed prognostic models using elastic-net regression that combined demographic, clinical, and psychological factors to predict relapse at 24 months under ADM or MBCT. Only the ADM model (discrimination performance: area under the curve [AUC] = .68) predicted relapse better than baseline depression severity (AUC = .54; one-tailed DeLong's test: z = 2.8, p = .003). Individuals with the poorest ADM prognoses who switched to MBCT had better outcomes compared with individuals who maintained ADM (48% vs. 70% relapse, respectively; superior survival times, z = −2.7, p = .008). For individuals with moderate to good ADM prognoses, both treatments resulted in similar likelihood of relapse. If replicated, the results suggest that predictive modeling can inform clinical decision-making around relapse prevention in recurrent depression.
540			_a© The Author(s) 2022
540			_ahttps://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
546			_aen
690			_aEmpirical Articles _92505
655	7		_aText _2local
786	0		_nClin Psychol Sci
856	4	1	_uhttp://dx.doi.org/10.1177/21677026221076832 _zConnect to this object online.
999			_c2294 _d2294