Evidence map›Paper›PMID 38509701›Full record

ArticleGut and liver2024

Combined DNA Methylation and Gastric Microbiome Marker Predicts

Min-Jeong Kim, Han-Na Kim, Jonathan P Jacobs, Hyo-Joon Yang

Abstract read
In one paragraph

Article in Gut and liver, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Advances inOncology letters · 2026
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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

4 authors.

Min-Jeong KimMedical Research Institute, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID 0000-0002-3302-6755
Han-Na KimDepartment of Clinical Research Design and Evaluation, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Seoul, Korea.ORCID 0000-0001-7053-7469
Jonathan P JacobsVatche and Tamar Manoukian Division of Digestive Diseases, Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.ORCID 0000-0003-4698-0254
Hyo-Joon YangMedical Research Institute, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID 0000-0002-0265-672X

Funding

Modulation of the Intestinal Microbiome in Obesity by a High Protein DietIK2CX001717 · VA · VA GREATER LOS ANGELES HEALTHCARE SYSTEM · PI JACOBS, JONATHAN PATRICK · 2018 to 2023
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CSRD VA IK2 CX001717
6 · The paper itself

Abstract

Background/Aims: While DNA methylation and gastric microbiome are each associated with gastric cancer (GC), their combined role in predicting GC remains unclear. This study investigated the potential of a combined DNA methylation and gastric microbiome signature to predict Methods: In this case-control study, we conducted quantitative methylation-specific polymerase chain reaction to measure the methylation levels of Results: The methylation levels of Conclusions: The combination of TWIST1 methylation and GC microbiome index may offer potential as a biomarker for predicting

Indexed as

DNA MethylationGastric MucosaGastrointestinal MicrobiomeHelicobacter pyloriStomach NeoplasmsAdaptor Proteins, Signal TransducingAdultAgedBiomarkers, TumorCase-Control StudiesFemaleGastritisHelicobacter InfectionsHomeodomain ProteinsHumansIntercellular Signaling Peptides and ProteinsAdaptor Proteins, Signal TransducingBiomarkers, TumorHomeodomain ProteinsIntercellular Signaling Peptides and ProteinsMicroRNAsNKX6-1 protein, humanNuclear ProteinsRNA, Ribosomal, 16STWIST1 protein, humanTwist-Related Protein 116SBiomarkersDNA methylationGastrointestinal microbiomeribosomalRNAStomach neoplasms

Identifiers

PMID38509701
PMCPMC11249944

What OpenQuestion holds

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LicenceCC BY-NC
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.