Evidence map›Paper›PMID 37032826›Full record

ArticleFrontiers in aging neuroscience2023

Predictive microbial feature analysis in patients with depression after acute ischemic stroke.

Shanshan Yao, Huijia Xie, Ya Wang, Nan Shen, Qionglei Chen, Yiting Zhao, Qilu Gu, Junmei Zhang, Jiaming Liu, Jing Sun and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 4 pooled it
5.0field-weighted citation impact, top 5% of its field
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

26 citing papers in PubMed, 4 syntheses or guidelines pooled it, 28 citations in OpenAlex.

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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

11 authors at 2 institutions in 1 country.

Shanshan YaoDepartment of Geriatrics, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
Huijia XieDepartment of Geriatrics, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
Ya WangDepartment of Geriatrics, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
Nan ShenDepartment of Geriatrics, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
Qionglei ChenDepartment of Geriatrics, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
Yiting ZhaoDepartment of Geriatrics, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
Qilu GuDepartment of Geriatrics, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
Junmei ZhangDepartment of Geriatrics, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
Jiaming LiuDepartment of Preventive Medicine, School of Public Health and Management, Wenzhou Medical University, Wenzhou, Zhejiang, China.
Jing SunDepartment of Geriatrics, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
Qiuling TongDepartment of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
Wenzhou Medical University · CNFirst Affiliated Hospital of Wenzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Post-stroke depression (PSD) is the most common emotional problem following a stroke, which requires early diagnosis to improve the prognosis. Gut microbiota plays important role in the pathological mechanisms of acute ischemic stroke and influences the outcome of patients. However, the relationship between PSD and gut microbiota remains unknown. Here, we explored whether the microbial signatures of gut microbiota in the patients with stroke could be an appropriate predictor of PSD. Methods: Fecal samples were collected from 232 acute ischemic stroke patients and determined by 16s rRNA sequencing. All patients then received 17-Hamilton Depression Rating Scale (HAMD-17) assessment 3 months after discharge, and were further divided into PSD group and non-PSD group. We analyzed the differences of gut microbiota between these groups. To identify gut microbial biomarkers, we then established microbial biomarker model. Results: Our results showed that the composition of gut microbiota in the PSD patients differed significantly from that in non-PSD patients. The genus Conclusions: Our findings suggest that PSD patients had distinct gut microbiota compared to non-PSD patients, and explore the potential of microbial markers, which might provide clinical decision-making in PSD.

Indexed as

16s rRNAdepressiongut microbiotamicrobial signaturesstroke

Identifiers

PMID37032826
PMCPMC10076592
OpenAlexW4360616958

What OpenQuestion holds

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LicenceCC BY
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.