Evidence map›Paper›PMID 42440637›Full record

ArticleFrontiers in nutrition2026

Association between

Yue Zhang, Ruifeng Duan, Yuzhong Zhang, Lijuan Wei

Abstract read
In one paragraph

Article in Frontiers in nutrition, 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

4 authors.

Yue ZhangDepartment of Gastroenterology and Digestive Endoscopy Center, The Second Hospital of Jilin University, Changchun, China.
Ruifeng DuanDepartment of Gastroenterology and Digestive Endoscopy Center, The Second Hospital of Jilin University, Changchun, China.
Yuzhong ZhangDepartment of Gastroenterology and Digestive Endoscopy Center, The Second Hospital of Jilin University, Changchun, China.
Lijuan WeiDepartment of Gastroenterology and Digestive Endoscopy Center, The Second Hospital of Jilin University, Changchun, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Methods: A total of 1,021 participants from a Chinese hospital-based cohort and 4,870 participants from the U.S. National Health and Nutrition Examination Survey (NHANES 1999-2000) were included. In the Chinese cohort, active HP infection was assessed using the 13C or 14C-urea breath test, and MASLD was diagnosed by ultrasonography. In NHANES, HP exposure was defined by serum IgG seropositivity, and MASLD was approximated using the Fatty Liver Index (FLI). Logistic regression was used to assess the association between HP and MASLD. Mediation analysis was conducted to explore potential metabolic and inflammatory pathways. Eleven machine learning models were developed in the Chinese cohort and evaluated using ROC, calibration, and SHAP analysis, with external comparison in NHANES using a reduced feature set to minimize potential bias. Results: In the Chinese cohort, HP infection was significantly associated with MASLD in crude (OR = 7.11), age- and sex-adjusted (OR = 6.48), and further adjusted models (including diabetes, cholesterolemia, and BMI; OR = 4.83, 95% CI: 3.07-7.23, Conclusion: HP infection was associated with MASLD in both Chinese and U.S. populations. Interpretable machine learning models demonstrated potential for MASLD risk stratification, with consistent identification of key predictors across cohorts. However, due to cross-sectional design, differences in diagnostic definitions, and the use of FLI in NHANES, findings should be interpreted as associative rather than causal, and external validation results should be considered exploratory.

Indexed as

Helicobacter pyloriinflammatory indexmachine learningsteatotic liver diseasetriglyceride glucose

Identifiers

PMID42440637
PMCPMC13333482

What Socratic holds

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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.