Evidence map›Paper›PMID 41696476›Full record

ArticleFrontiers in psychiatry2026

CD4

Yao Gao, Zihan Lei, Yifan Ren, Xianyan Zhan, Zirong Chen, Zuer Guo, Ziyang Zhou, Xiancang Ma, Pan Li

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Yao Gao *Department of Psychiatry, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Zihan Lei *Department of Psychiatry, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Yifan RenDepartment of Psychiatry, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Xianyan ZhanDepartment of Psychiatry, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Zirong ChenDepartment of Psychiatry, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Zuer GuoDepartment of Psychiatry, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Ziyang ZhouDepartment of Psychiatry, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Xiancang MaDepartment of Psychiatry, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Pan LiThe First Affiliated Hospital of Xi'an Jiaotong University, Shaanxi Provincial Key Laboratory of Biological Psychiatry, Xi'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Emerging evidence supports the role of immune-mediated neuroinflammatory processes and disrupted sleep patterns in elevating susceptibility to major depressive disorder (MDD). Sleep disturbances, a hallmark clinical feature of MDD, have further been linked to changes in lymphocyte profiles. Nevertheless, the potential relationship between sleep disturbance and lymphocyte subpopulations characteristic in patients with MDD remains underexplored. Methods: In this study, flow cytometry was used to measure the proportion of peripheral blood CD4 Results: Baseline scores on the Hamilton Depression Rating Scale (HAMD) and Self-Rating Depression Scale (SDS) in patients with MDD were significantly higher than those in HCs. Regardless of antidepressant medication use, patients with MDD exhibited elevated proportions of CD4 Conclusions: Our findings demonstrate that patients with MDD comorbid with sleep disturbances exhibit elevated proportions of CD4

Indexed as

flow cytometryinflammationmajor depressive disorderssleep disturbanceT cell

Identifiers

PMID41696476
PMCPMC12894037

What OpenQuestion holds

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Registered trials

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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.