Evidence map›Paper›PMID 40995227›Full record

ArticleFrontiers in cellular and infection microbiology2025

Evaluation of the gastric microbiota based on body mass index using 16S rRNA gene sequencing.

Sang Hoon Lee, Eun Bae Kim, Sung Chul Park, Seung-Joo Nam, Hyunseok Cho, Han Jo Jeon, Sang Pyo Lee

Erratum issuedAbstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Sang Hoon LeeDepartment of Internal Medicine, Kangwon National University College of Medicine, Chuncheon, Republic of Korea.
Eun Bae KimDepartment of Applied Animal Science, Kangwon National University College of Animal Life Sciences, Chuncheon, Republic of Korea.
Sung Chul ParkDepartment of Internal Medicine, Kangwon National University College of Medicine, Chuncheon, Republic of Korea.
Seung-Joo NamDepartment of Internal Medicine, Kangwon National University College of Medicine, Chuncheon, Republic of Korea.
Hyunseok ChoDepartment of Pediatrics, Kangwon National University College of Medicine, Chuncheon, Republic of Korea.
Han Jo JeonDepartment of Internal Medicine, Korea University College of Medicine, Seoul, Republic of Korea.
Sang Pyo LeeDepartment of Internal Medicine, Hanyang University College of Medicine, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Obesity is a multifactorial condition influenced by various factors, including the gut microbiota. However, the relationship between the gastric microbiota and obesity remains poorly understood. This study aimed to investigate the composition of gastric microbiota, excluding Methods: Thirty participants undergoing health checkups were classified into three groups-normal weight (BMI 18.5-22.9), overweight (BMI 23.0-24.9), and obese (BMI ≥25.0)-with ten individuals per group. Those with Results and discussion: Alpha diversity (Gini-Simpson index) was significantly lower in the combined overweight/obese group than that in the normal group (

Indexed as

BacteriaBody Mass IndexGastrointestinal MicrobiomeRNA, Ribosomal, 16SStomachAdultDNA, BacterialDNA, RibosomalFemaleHumansMaleMetagenomicsMiddle AgedObesityOverweightPhylogenyDNA, BacterialDNA, RibosomalRNA, Ribosomal, 16S16S rRNA sequencingbody mass indexgastric microbiotametabolic dysregulationobesity

Identifiers

PMID40995227
PMCPMC12454328

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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.