Evidence map›Paper›PMID 42703526›Full record

ArticleNeuropsychiatric disease and treatment2026

Association Between

Yanyan Wang, Wenzhe Sun, Chensheng Pan, Zhou Zhu, Guo Li, Xin Zhao, Suiqiang Zhu

Abstract read
In one paragraph

Article in Neuropsychiatric disease and treatment, 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

7 authors.

Yanyan WangDepartment of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China.
Wenzhe SunDepartment of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China.
Chensheng PanDepartment of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China.ORCID 0000-0002-0985-4972
Zhou ZhuDepartment of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China.
Guo LiDepartment of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China.
Xin ZhaoDepartment of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China.
Suiqiang ZhuDepartment of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Genetic polymorphisms in drug metabolism play an important role in the wide inter-individual variability in antidepressant efficacy. This study aimed to determine whether cytochrome P450 2C19 ( Methods: In this single-center prospective observational study, 313 acute stroke patients with PSD were consecutively enrolled and received ESC or VEN for 8 weeks. Efficacy was assessed using the 17-item Hamilton Depression Scale (HAMD-17). The primary outcome was the change in HAMD-17 score from baseline to week 8; secondary outcomes were response (≥50% reduction) and remission (score ≤7). Patients were stratified by Results: At week 8, among 148 ESC-treated patients, Conclusion: No significant effect of

Indexed as

antidepressantcytochrome P450 enzymespharmacogenomicspost-stroke depression

Identifiers

PMID42703526
PMCPMC13546662

What OpenQuestion 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 OpenQuestion graph.