Evidence map›Paper›PMID 42755663›Full record

ArticleGeneral psychiatry2026

Towards precision medicine: Application of the structural causal model in psychiatry.

Wei Chen, Liya Sun, Fanyuan Zhang, Jijun Wang, Chunbo Li, Shengying Qin, Chunling Wan, Fangyu Chen, Chen Zhang, Ruichu Cai

Abstract read
In one paragraph

Article in General 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

10 authors.

Wei ChenSchool of Computer Science Guangdong University of Technology Guangzhou Guangdong China.ORCID https://orcid.org/0000-0002-8213-0567
Liya SunShanghai Mental Health Center Editorial Office Shanghai Jiao Tong University School of Medicine Shanghai China.ORCID https://orcid.org/0000-0001-5243-4028
Fanyuan ZhangSchool of Computer Science Guangdong University of Technology Guangzhou Guangdong China.ORCID https://orcid.org/0009-0007-8466-8487
Jijun WangShanghai Key Laboratory of Mental Disorders Translational Research Shanghai Mental Health Center Shanghai Jiao Tong University School of Medicine Shanghai China.ORCID https://orcid.org/0000-0001-5427-7425
Chunbo LiShanghai Key Laboratory of Mental Disorders Translational Research Shanghai Mental Health Center Shanghai Jiao Tong University School of Medicine Shanghai China.ORCID https://orcid.org/0000-0002-3387-4439
Shengying QinBio-X Institutes Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education) Shanghai Jiao Tong University Shanghai China.ORCID https://orcid.org/0000-0002-8458-5960
Chunling WanBio-X Institutes Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education) Shanghai Jiao Tong University Shanghai China.ORCID https://orcid.org/0000-0002-0372-0041
Fangyu ChenWuhu Hospital of Beijing Anding Hospital Capital Medical University (Wuhu Fourth People's Hospital) Wuhu Anhui China.ORCID https://orcid.org/0009-0000-6843-9157
Chen ZhangShanghai Mental Health Center Editorial Office Shanghai Jiao Tong University School of Medicine Shanghai China.ORCID https://orcid.org/0009-0004-2706-4888
Ruichu CaiSchool of Computer Science Guangdong University of Technology Guangzhou Guangdong China.ORCID https://orcid.org/0000-0001-8972-167X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

causal inferencemultiomicsprecision medicinepsychiatrystructural causal model

Identifiers

PMID42755663
PMCPMC13581686

What Socratic holds

Textmetadata
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.