Evidence map›Paper›PMID 34686128›Full record

Trial reportBMC gastroenterology2021

Comparison of sampling methods in assessing the microbiome from patients with ulcerative colitis.

Dan Kim, Jun-Young Jung, Hyun-Seok Oh, Sam-Ryong Jee, Sung Jae Park, Sang-Heon Lee, Jun-Sik Yoon, Seung Jung Yu, In-Cheol Yoon, Hong Sub Lee

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in BMC gastroenterology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 18% 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Pooled it
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  12. A novel method for precise endoscopic sampling of duodenal microbiota.Frontiers in cellular and infection microbiology · 2025
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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

10 authors at 3 institutions in 2 countries.

Dan Kim *Department of Internal Medicine, Inje University College of Medicine, Busan Paik Hospital, 75 Bokji-ro, Busanjin-gu, Busan, 47392, Korea.
Jun-Young Jung *Department of Internal Medicine, Inje University College of Medicine, Busan Paik Hospital, 75 Bokji-ro, Busanjin-gu, Busan, 47392, Korea.
Hyun-Seok OhInterdisciplinary Program in Bioinformatics, Seoul National University, Seoul, 08826, Korea.
Sam-Ryong JeeDepartment of Internal Medicine, Inje University College of Medicine, Busan Paik Hospital, 75 Bokji-ro, Busanjin-gu, Busan, 47392, Korea.
Sung Jae ParkDepartment of Internal Medicine, Inje University College of Medicine, Busan Paik Hospital, 75 Bokji-ro, Busanjin-gu, Busan, 47392, Korea.
Sang-Heon LeeDepartment of Internal Medicine, Inje University College of Medicine, Busan Paik Hospital, 75 Bokji-ro, Busanjin-gu, Busan, 47392, Korea.
Jun-Sik YoonDepartment of Internal Medicine, Inje University College of Medicine, Busan Paik Hospital, 75 Bokji-ro, Busanjin-gu, Busan, 47392, Korea.
Seung Jung YuDepartment of Internal Medicine, Inje University College of Medicine, Busan Paik Hospital, 75 Bokji-ro, Busanjin-gu, Busan, 47392, Korea.
In-Cheol YoonDepartment of Gastroenterology, Myongji Hospital, Hanyang University College of Medicine, Goyang, Korea.
Hong Sub LeeDepartment of Internal Medicine, Inje University College of Medicine, Busan Paik Hospital, 75 Bokji-ro, Busanjin-gu, Busan, 47392, Korea. hslee@paik.ac.kr.
Inje University Busan Paik Hospital · KRChulabhorn Research Institute · THHanyang University · KR

Funding

National Research Foundation of Korea 2020R1G1A100923411
6 · The paper itself

Abstract

backgroundDysbiosis of ulcerative colitis (UC) has been frequently investigated using readily accessible stool samples. However, stool samples might insufficiently represent the mucosa-associated microbiome status. We hypothesized that luminal contents including loosely adherent luminal bacteria after bowel preparation may be suitable for diagnosing the dysbiosis of UC.

methodsThis study included 16 patients with UC (9 men and 7 women, mean age: 52.13 ± 14.09 years) and 15 sex- and age-matched healthy individuals (8 men and 7 women, mean age: 50.93 ± 14.11 years). They donated stool samples before colonoscopy and underwent luminal content aspiration and endoscopic biopsy during the colonoscopy. Then, the composition of each microbiome sample was analyzed by 16S rRNA-based next-generation sequencing.

resultsThe microbiome between stool, luminal contents, and biopsy was significantly different in alpha and beta diversities. However, a correlation existed between stool and luminal contents in the Procrustes test (p = 0.001) and Mantel test (p = 0.0001). The stool microbiome was different between patients with UC and the healthy controls. Conversely, no difference was found in the microbiome of luminal content and biopsy samples between the two subject groups. The microbiome of stool and lavage predicted UC, with AUC values of 0.85 and 0.81, respectively.

conclusionThe microbiome of stool, luminal contents, and biopsy was significantly different. However, the microbiome of luminal contents during colonoscopy can predict UC, with AUC values of 0.81. Colonoscopic luminal content aspiration analysis could determine microbiome differences between patients with UC and the healthy control, thereby beneficial in screening dysbiosis via endoscopy.

trial registrationThis trial was registered at http://cris.nih.go.kr . Registration No.: KCT0003352), Date: 2018-11-13.

Indexed as

Colitis, UlcerativeGastrointestinal MicrobiomeMicrobiotaAdultAgedDysbiosisFemaleHumansMaleMiddle AgedRNA, Ribosomal, 16SRNA, Ribosomal, 16SColon lavageColonoscopyInflammatory bowel diseaseMicrobiomeUlcerative colitis

Identifiers

PMID34686128
PMCPMC8614001
OpenAlexW2999025205

What OpenQuestion holds

Textmetadata
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.