Evidence map›Paper›PMID 42491374›Full record

ArticleDepression and anxiety2026

Identifying Clinical Predictors of Unfavorable Treatment Trajectories in Major Depressive Disorder: A National Multicentered Prospective Cohort Longitudinal, Naturalistic Study.

Xuequan Zhu, Kaiyan Gan, Xu Chen, Lei Feng, Yuan Feng, Ling Zhang, Gang Wang

Abstract readMulticenter Study
In one paragraph

Article in Depression and anxiety, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Xuequan ZhuBeijing Key Laboratory of Intelligent Drug Research and Development for Mental Disorders, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China, ccmu.edu.cn.ORCID https://orcid.org/0000-0001-5551-2810
Kaiyan GanBeijing Key Laboratory of Intelligent Drug Research and Development for Mental Disorders, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China, ccmu.edu.cn.ORCID https://orcid.org/0009-0001-0902-2658
Xu ChenBeijing Key Laboratory of Intelligent Drug Research and Development for Mental Disorders, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China, ccmu.edu.cn.ORCID https://orcid.org/0009-0000-4139-3048
Lei FengBeijing Key Laboratory of Intelligent Drug Research and Development for Mental Disorders, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China, ccmu.edu.cn.ORCID https://orcid.org/0000-0001-7810-5070
Yuan FengBeijing Key Laboratory of Intelligent Drug Research and Development for Mental Disorders, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China, ccmu.edu.cn.ORCID https://orcid.org/0009-0003-7849-5592
Ling ZhangBeijing Key Laboratory of Intelligent Drug Research and Development for Mental Disorders, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China, ccmu.edu.cn.ORCID https://orcid.org/0000-0002-9713-1458
Gang WangBeijing Key Laboratory of Intelligent Drug Research and Development for Mental Disorders, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China, ccmu.edu.cn.ORCID https://orcid.org/0000-0003-3949-1188

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: While antidepressant side effects are often expected to diminish with continued treatment, empirical evidence remains limited. This study investigates co-trajectories of depressive severity with side-effect burden (SEB) and associated factors in patients with major depressive disorder (MDD). Methods: We analyzed longitudinal data from 1377 MDD outpatients across three Chinese multicenter studies (2015-2022), with assessments at baseline, weeks 2, 4, 8, 12, and 24. Depression severity was measured using the Quick Inventory of Depressive Symptomatology-Self Report (QIDS-SR16). At the same time, SEB was quantified using the frequency, intensity, and burden of side effects rating (FIBSER). Dual-trajectory modeling was used to identify distinct SEB and depression severity trajectories, with linear mixed-effects models comparing depression changes across SEB groups. Results: Four SEB trajectories were identified: no SEB (41.5%), early-onset SEB (29.1%), late-onset SEB (14.7%), and persistent SEB (13.9%). Depressive severity followed three trajectories: mild-responsive (66.6%), moderate-progressive (18.7%), and chronic-severe (14.7%). Persistent SEB was associated with higher baseline depression severity (OR = 1.13, 95% CI: 1.08-1.17), antidepressant combination (OR = 3.7, 95% CI: 1.52- 9.02), and poorer treatment outcomes. 7.3% exhibited concurrent chronic-severe depressive severity and persistent SEB. Female (OR = 1.95, 95% CI: 1.11-3.42), younger age (OR = 5.02, 95% CI: 2.63-9.55), higher education (high school: OR = 2.5, 95% CI: 1.12-5.36; bachelor and above: OR = 2.68, 95% CI: 1.24-5.82), and combination antidepressant (OR = 8.27, 95% CI: 2.69-25.45) were significant risk factors for concurrent severe symptoms and persistent SEB. Conclusion: Persistent antidepressant side effects coevolve with unfavorable depression trajectories over 6 months. Clinicians should prioritize early monitoring and tailored interventions for high-risk subgroups, particularly those with severe baseline symptoms or on combination therapy. These findings underscore the importance of continuous monitoring and personalized interventions to manage antidepressant side effects effectively.

Indexed as

Antidepressive AgentsMajor Depressive DisorderAdultChinaFemaleHumansLongitudinal StudiesMaleMiddle AgedProspective StudiesSeverity of Illness IndexAntidepressive Agentsantidepressantlongitudinal trajectoriesmajor depressive disorderside-effect burdentreatment outcomes

Identifiers

PMID42491374
PMCPMC13377403

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.