Evidence map›Paper›PMID 38524186›Full record

ArticleGastroenterology report2024

Fecal microbiota related to postoperative endoscopic recurrence in patients with Crohn's disease.

Haichao Wang, Guorong Yan, Yaling Wu, Deji Zhuoma, Zhanju Liu, Xuefeng Gao, Xiaolei Wang

Abstract read
In one paragraph

Article in Gastroenterology report, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

7 authors.

Haichao WangDepartment of Nephrology and Rheumatology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, P. R. China.
Guorong YanDepartment of Phototherapy, Shanghai Skin Disease Hospital, School of Medicine, Tongji University, Shanghai, P. R. China.
Yaling WuDepartment of Geriatrics, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, P. R. China.
Deji ZhuomaDepartment of Gastroenterology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, P. R. China.
Zhanju LiuDepartment of Gastroenterology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, P. R. China.
Xuefeng GaoIntegrative Microecology Center, Department of Gastroenterology, Shenzhen Hospital, Southern Medical University, Shenzhen, Guangdong, P. R. China.
Xiaolei WangDepartment of Gastroenterology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, P. R. China.ORCID https://orcid.org/0000-0003-2023-6670

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Postoperative recurrence (POR) remains a major challenge for patients with Crohn's disease (CD). Gut microbial dysbiosis has been reported to be involved in the pathogenesis of POR. This study aims to investigate the relationship between fecal microbiome and endoscopic recurrence in patients with CD after ileocolonic resection. Methods: This is a cross-sectional study. Fecal samples were collected from 52 patients with CD after surgical intervention from 6 to 12 months before endoscopic examination. Endoscopic recurrence was defined as Rutgeerts score ≥ i2. The microbiome was analyzed by sequencing the V3-V4 hypervariable regions of the 16S rRNA gene. Results: A total of 52 patients were included and classified into POR ( Conclusions: The characteristic alterations of fecal microbiota are associated with postoperative endoscopic recurrence in patients with CD; particularly, high abundance of

Indexed as

16S rRNA gene sequencingCrohn’s diseasefecal microbiotapostoperative endoscopic recurrence

Identifiers

PMID38524186
PMCPMC10960934

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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.