Evidence map›Paper›PMID 41333065›Full record

ArticleFrontiers in neuroscience2025

Risk of occult gastrointestinal bleeding with increased gut

Geng-Hong Xia, Wei Song, Jia-Hui Xie, Jing-Ru Liang, Jia Yin

Abstract read
In one paragraph

Article in Frontiers in neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
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

5 authors.

Geng-Hong Xia *Department of Neurology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Wei Song *Department of Neurology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Jia-Hui XieDepartment of Neurology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Jing-Ru LiangDepartment of Neurology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Jia YinDepartment of Neurology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Gastrointestinal disorders are common in acute ischemic stroke (AIS) patients, but the impact of occult gastrointestinal bleeding (occult GIB) and its link to gut dysbiosis remain underexplored. Occult GIB, often undetected due to subtle symptoms, may significantly affect stroke recovery and long-term outcomes. Method: We conducted a prospective, multi-center cohort study involving 482 AIS patients. Fecal samples collected within 48 h of admission were analyzed using 16S rRNA gene sequencing. Patients were followed for 1 year to assess major adverse cardiovascular events (MACEs), including death and recurrent stroke. Results: Occult GIB was identified in 13.9% of patients, who had significantly higher rates of 90-day dependency (56.7% vs. 20.5%) and 1-year MACEs (28.6% vs. 15.5%) compared to non-GIB patients. These patients also exhibited higher infection rates and enrichment of specific gut pathogens, including Conclusion: Occult GIB is prevalent in AIS patients and is associated with worse long-term outcomes, particularly in those with enrichment of these specific gut pathogens. Early detection and management of occult GIB may improve patient outcomes. Future research should focus on elucidating underlying mechanisms and developing targeted interventions.

Indexed as

gut microbiotainfection-associated pathogensischemic strokemajor adverse cardiovascular eventsoccult gastrointestinal bleeding

Identifiers

PMID41333065
PMCPMC12665750

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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.