Evidence mapPaperPMID 42299135Full record

SynthesisJournal of Korean medical science2026

Use of Mendelian Randomization to Unveil Metabolic Markers in

Tung Hoang, Jeongseon Kim

Abstract readMeta-Analysis
In one paragraph

Synthesis in Journal of Korean medical science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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

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

2 authors.

Tung HoangDepartment of Cancer AI & Digital Health, National Cancer Center Graduate School of Cancer Science and Policy, Goyang, Korea.ORCID https://orcid.org/0000-0001-6653-3406
Jeongseon KimDepartment of Cancer AI & Digital Health, National Cancer Center Graduate School of Cancer Science and Policy, Goyang, Korea. jskim@ncc.re.kr.ORCID https://orcid.org/0000-0002-0889-2686

Funding

National Cancer Center 2510880National Research Foundation of Korea 2021R1A2C2008439
6 · The paper itself

Abstract

backgroundEnzymes encoded by

methodsA meta-analysis of 65 genome-wide association studies was conducted to assess the genetic predisposition to approximately 3,550 metabolites. Summary-level data for > 10 million genetic variants associated with

resultsA total of 100 metabolites were positively associated with

conclusionOur study identified numerous metabolites linked to

Indexed as

Helicobacter InfectionsHelicobacter pyloriAntibodies, BacterialAntigens, BacterialBacterial ProteinsBiomarkersGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMendelian Randomization AnalysisPolymorphism, Single NucleotideUreaseAntibodies, BacterialAntigens, BacterialBacterial ProteinsBiomarkerscagA protein, Helicobacter pyloriUreaseAntibodyHelicobacter pyloriMendelian Randomization

Identifiers

PMID42299135
PMCPMC13269816

What Socratic holds

Textmetadata
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 Socratic graph.