Evidence map›Paper›PMID 40241835›Full record

ArticleJournal of intensive medicine2025

Potential causal association between gut microbiota, inflammatory cytokines, and acute pancreatitis: A Mendelian randomization study.

Xiaofeng Wang, Yiwen Qiu, Ying Di, Hou Shaohua, Wei Wu, Weiyi Wang, Huan Liu, Pu Li

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of intensive medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Xiaofeng WangDepartment of Critical Care Medicine, Tangdu Hospital, Air Force Medical University, Xi'an, Shaanxi, China.
Yiwen QiuDepartment of Gastroenterology, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Ying DiIntensive Care Unit, Shaanxi Provincial Rehabilitation Hospital, Xi'an, Shaanxi, China.
Hou ShaohuaSchool of Life Sciences and Medicine, Northwest University, Xi 'an, Shaanxi, China.
Wei WuDepartment of Critical Care Medicine, Tangdu Hospital, Air Force Medical University, Xi'an, Shaanxi, China.
Weiyi WangDigestive Endoscopy Center, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Huan LiuDepartment of Critical Care Medicine, Tangdu Hospital, Air Force Medical University, Xi'an, Shaanxi, China.
Pu LiDepartment of Critical Care Medicine, Tangdu Hospital, Air Force Medical University, Xi'an, Shaanxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Acute pancreatitis (AP) ranks among the most frequently encountered gastrointestinal diseases in the emergency department. Recent studies have increasingly emphasized the substantial connection among gut microbiota, inflammatory cytokines, and AP. Methods: A two-sample Mendelian randomization (MR) study was conducted using summary statistics of gut microbiota (GM) from the largest available meta-analysis of genome-wide association studies conducted by the MiBioGen consortium ( Result: Among the 211 examined GM taxa, the IVW method revealed that Bacteroidales (odds ratio [OR]=1.412, 95% confidence interval [CI]:1.057 to 1.885, Conclusion: This two-sample MR study revealed causal associations between specific GM and inflammatory cytokines with AP, respectively. However, inflammatory cytokines did not appear to act as mediating factors in the pathway from GM to AP.

Indexed as

Acute pancreatitisGut microbiotaInflammatory cytokinesMediation analysisMendelian randomization

Identifiers

PMID40241835
PMCPMC11997579

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.