Evidence map›Paper›PMID 39138456›Full record

ArticleBMC psychiatry2024

Factors influencing the tendency of residual symptoms in patients with depressive disorders: a longitudinal study.

Yuwei Li, Dong Wang, Jiexin Fang, Si Zu, Le Xiao, Xuequan Zhu, Gang Wang, Yongdong Hu

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PubMed Full text at PMC Publisher
In one paragraph

Article in BMC psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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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

8 authors.

Yuwei LiDepartment of Clinical Psychology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
Dong WangDepartment of Clinical Psychology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
Jiexin FangDepartment of Clinical Psychology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
Si ZuDepartment of Clinical Psychology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
Le XiaoThe National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.
Xuequan ZhuThe National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.
Gang WangThe National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China. gangwangdoc@ccmu.edu.cn.
Yongdong HuDepartment of Clinical Psychology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China. huyongdong@mail.ccmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundResidual symptoms of depressive disorders are serious health problems. However, the progression process is hardly predictable due to high heterogeneity of the disease. This study aims to: (1) classify the patterns of changes in residual symptoms based on homogeneous data, and (2) identify potential predictors for these patterns.

methodsIn this study, we conducted a data-driven Latent Class Growth Analysis (LCGA) to identify distinct tendencies of changes in residual symptoms, which were longitudinally quantified using the QIDS-SR16 at baseline and 1/3/6 months post-baseline for depressed patients. The association between baseline characteristics (e.g. clinical features and cognitive functions) and different progression tendencies were also identified.

resultsThe tendency of changes in residual symptoms was categorized into four classes: "light residual symptom decline (15.4%)", "residual symptom disappears (39.3%)", "steady residual symptom (6.3%)" and "severe residual symptom decline (39.0%)". We observed that the second class displayed more favorable recuperation outcomes than the rest of patients. The severity, recurrence, polypharmacy, and medication adherence of symptoms are intricately linked to the duration of residual symptoms' persistence. Additionally, clinical characteristics including sleep disturbances, depressive moods, alterations in appetite or weight, and difficulties with concentration have been identified as significant factors in the recovery process.

conclusionsOur research findings indicate that certain clinical characteristics in patients with depressive disorders are associated with poor recovery from residual symptoms following acute treatment. This revelation holds significant value in the targeted attention to specific patients and the development of early intervention strategies for residual symptoms accordingly.

Indexed as

Depressive DisorderAdultDisease ProgressionFemaleHumansLatent Class AnalysisLongitudinal StudiesMaleMedication AdherenceMiddle AgedSeverity of Illness IndexDepressive disorderLCGAPredictorResidual symptoms

Identifiers

PMID39138456
PMCPMC11323663

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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.