Evidence map›Paper›PMID 40165105›Full record

ArticleBMC psychiatry2025

The trajectory of depressive symptoms and the association with quality of life and suicidal ideation in patients with major depressive disorder.

Wenjian Lai, Yuhua Liao, Huimin Zhang, Hao Zhao, Yanzi Li, Ruiying Chen, Guangduoji Shi, Yifen Liu, Jiejing Hao, Zehui Li and 4 more

Abstract read
In one paragraph

Article in BMC psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Symptom-specific genetics reveal heterogeneity within major depressive disorder.medRxiv : the preprint server for health sciences · 2026
    Article
  4. Review
  5. Article
  6. Review
  7. 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

14 authors.

Wenjian Lai *Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-Sen University, 74 Zhongshan Rd 2, Guangzhou, 510080, China.
Yuhua Liao *Department of Psychiatry, Shenzhen Nanshan Center for Chronic Disease Control, Shenzhen, 518054, China.
Huimin ZhangDepartment of Psychiatry, Shenzhen Nanshan Center for Chronic Disease Control, Shenzhen, 518054, China.
Hao ZhaoDepartment of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-Sen University, 74 Zhongshan Rd 2, Guangzhou, 510080, China.
Yanzi LiDepartment of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-Sen University, 74 Zhongshan Rd 2, Guangzhou, 510080, China.
Ruiying ChenDepartment of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-Sen University, 74 Zhongshan Rd 2, Guangzhou, 510080, China.
Guangduoji ShiDepartment of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-Sen University, 74 Zhongshan Rd 2, Guangzhou, 510080, China.
Yifen LiuDepartment of Psychiatry, Shenzhen Nanshan Center for Chronic Disease Control, Shenzhen, 518054, China.
Jiejing HaoDepartment of Psychiatry, Shenzhen Nanshan Center for Chronic Disease Control, Shenzhen, 518054, China.
Zehui LiDepartment of Psychiatry, Shenzhen Nanshan Center for Chronic Disease Control, Shenzhen, 518054, China.
Wanxin WangDepartment of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-Sen University, 74 Zhongshan Rd 2, Guangzhou, 510080, China.
Roger S McIntyreDepartment of Psychiatry, University of Toronto, Toronto, ON, Canada.
Ciyong LuDepartment of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-Sen University, 74 Zhongshan Rd 2, Guangzhou, 510080, China. luciyong@mail.sysu.edu.cn.
Xue HanDepartment of Psychiatry, Shenzhen Nanshan Center for Chronic Disease Control, Shenzhen, 518054, China. xuehan_sz@hotmail.com.

Funding

National Natural Science Foundation of China 82373660
6 · The paper itself

Abstract

backgroundMajor depressive disorder (MDD) is the most prevalent mental health disorder globally. However, the association between depressive symptom trajectories in the early period and subsequent mental health outcomes remains not fully elucidated. This study aimed to delineate the depressive symptom trajectories during the initial phase of treatment, identify baseline characteristics associated with these trajectories, and explore the association of trajectories with subsequent quality of life and suicidal ideation.

methodsParticipants were from the Depression Cohort in China. The diagnosis of MDD was assessed using the Mini-International Neuropsychiatric Interview (M.I.N.I.). Information on depressive symptom severity, quality of life, suicidal ideation and other demographics were collected. Latent class trajectory modeling was used to identify distinct classes of depressive symptom trajectories.

resultsA total of 566 patients with MDD were included, and we identified 3 categories with differential trajectories characterized by improving class (66.7%), moderate decreasing class (27.7%), and persistent high class (5.6%). Compared to the improving class, severer anxiety and depressive symptoms at baseline increased the odds of belonging to the moderate decreasing class and persistent high class. Both moderate decreasing class and persistent high class were associated with increased risks of subsequent diminished quality of life. Additionally, only persistent high class was associated with a higher risk of subsequent suicidal ideation.

conclusionSevere baseline anxiety and depressive symptoms identify a subpopulation of persons living with MDD who evince a greater likelihood of symptom worsening over time as well as greater decrements in quality of life and worsening measures of suicidality.

Indexed as

DepressionMajor Depressive DisorderQuality of LifeSuicidal IdeationAdultChinaFemaleHumansMaleMiddle AgedSeverity of Illness IndexMajor depressive disorderQuality of lifeSuicidal ideationSymptom trajectory

Identifiers

PMID40165105
PMCPMC11959785

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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 OpenQuestion graph.