Predictors of 12‐week remission in a nationwide cohort of people with depressive disorders: the CRESCEND study

JM Kim, SW Kim, R Stewart, SY Kim… - Human …, 2011 - Wiley Online Library
Objective To estimate the 12‐week remission rate of patients with depressive disorders and
predictors of this in a naturalistic clinical setting in South Korea. Methods For people with …

Does the duration of index episode affect the treatment outcome of major depressive disorder? A STAR* D report.

WS Gilmer, JK Gollan, SR Wisniewski… - Journal of clinical …, 2008 - psychiatrist.com
Objective: This article aims to identify baseline sociodemographic and clinical characteristics
associated with the duration of the index major depressive episode (MDE) and to assess the …

Clinical milestones predict symptom remission over 6-month and choice of treatment of patients with major depressive disorder (MDD)

AG Wade, TE Schlaepfer, HF Andersen… - Journal of psychiatric …, 2009 - Elsevier
BACKGROUND: It is uncertain as to what short-term outcomes predict long-term treatment
compliance and outcomes in patients with MDD. AIMS: To determine what treatment …

Predicting relapse from the time to remission during the acute treatment of depression: a re-analysis of the STAR* D data

K Kubo, H Sakurai, H Tani, K Watanabe… - Journal of Affective …, 2023 - Elsevier
Background Predicting relapse during maintenance treatment for depression is challenging.
The objective of this analysis was to investigate the association between the time taken to …

Improvement within 2 weeks and later treatment outcomes in patients with depressive disorders: the CRESCEND study

JM Kim, SY Kim, R Stewart, JA Yoo, KY Bae… - Journal of Affective …, 2011 - Elsevier
BACKGROUND: Although antidepressants are conventionally given for 4–6weeks before
deciding on response, several reports suggest that early improvement predicts later …

Predicting relapse in major depression after successful initial pharmacological treatment

T Akechi, A Mantani, K Kurata, S Hirota… - Journal of affective …, 2019 - Elsevier
Background Identifying the predictors of relapse could help to develop more individualized
treatment strategies for major depression. The study aim was to explore predictors of …

Trajectories of individual symptoms in remitters versus non-remitters with depression

H Sakurai, H Uchida, T Abe, S Nakajima… - Journal of affective …, 2013 - Elsevier
Background It remains unclear regarding the contribution of each individual symptom in
predicting the outcome in major depressive disorder (MDD). The objective of this analysis …

Prognostic subgroups for citalopram response in the STAR* D trial

E Jakubovski, MH Bloch - The Journal of clinical psychiatry, 2014 - psychiatrist.com
Objective: Few data exist to help clinicians predict likelihood of treatment response in
individual patients with major depressive disorder (MDD). Our aim was to identify subgroups …

Residual symptoms after remission of major depressive disorder with citalopram and risk of relapse: a STAR* D report

AA Nierenberg, MM Husain, MH Trivedi… - Psychological …, 2010 - cambridge.org
BackgroundMany patients with major depressive disorder (MDD) who experience full
symptomatic remission after antidepressant treatment still have residual depressive …

The effects of continuous antidepressant treatment during the first 6 months on relapse or recurrence of depression

KH Kim, SM Lee, JW Paik, NS Kim - Journal of affective disorders, 2011 - Elsevier
BACKGROUND: To examine whether continuous antidepressant treatment during the first
6month reduces the risk of relapse/recurrence of depression in South Korea. METHODS: We …