Escitalopram treatment for patients with major depressive disorder: decision trees for treatment algorithm

Week 4 emerges as a key decision point for escitalopram-treated MDD patients, where integration of baseline profiles, early response patterns, and dose parameters allows timely intervention. Our decision tree framework offers a methodological approach for dynamic decision points that warrant prospective validation and extension to other antidepressants.

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Publication Details

Journal
Journal of Psychiatric Research
Published
2026-02-03
DOI
https://doi.org/10.1016/j.jpsychires.2026.02.001
Primary Topic
Treatment of Major Depression
Type
article
Field-Weighted Citation Impact
0.00
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article

Escitalopram treatment for patients with major depressive disorder: decision trees for treatment algorithm

Xuequan Zhu, Rou Zhong, Yuan Feng, Gang Wang et al.
Journal of Psychiatric Research
Treatment of Major Depression
article

Escitalopram treatment for patients with major depressive disorder: decision trees for treatment algorithm

Xuequan Zhu, Rou Zhong, Yuan Feng, Gang Wang, Lei Feng, Ling Zhang, Xu Chen
article en

Abstract

Week 4 emerges as a key decision point for escitalopram-treated MDD patients, where integration of baseline profiles, early response patterns, and dose parameters allows timely intervention. Our decision tree framework offers a methodological approach for dynamic decision points that warrant prospective validation and extension to other antidepressants.

Journal of Psychiatric ResearchVol. 195
Capital Medical University (CN), Beijing Anding Hospital (CN)
Peace, Justice and strong institutions
Openalex Percentile: Top 68%
Treatment of Major Depression
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