Evidence map›Paper›PMID 42252404›Full record

ArticleCancer medicine2026

Exploring the High-Risk Factors of Gastric "Inflammatory Cancer Transformation" Based on Inflammatory Immune Response: Construction of RHPI Complicated With CAG Risk Prediction Model.

Tian-Tong Jiang, Liu-Feng Yi, Ya-Xuan Wang, Shao-Li Wang, Yan-Jiao Zhang, Zhi-Hua Tian, Xin-Qiao Chu, Jing-Yu Chen, Yi Luo, Nan Luo and 1 more

Abstract read
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Article in Cancer medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Tian-Tong JiangDepartment of Gastroenterology, Department of Internal Medicine, Guang' Anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.ORCID https://orcid.org/0009-0008-3566-5877
Liu-Feng YiDepartment of Gastroenterology, Department of Internal Medicine, Guang' Anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Ya-Xuan WangNational Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing, China.
Shao-Li WangDepartment of Gastroenterology, Department of Internal Medicine, Guang' Anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Yan-Jiao ZhangDepartment of Gastroenterology, Department of Internal Medicine, Guang' Anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Zhi-Hua TianDepartment of Gastroenterology, Department of Internal Medicine, Guang' Anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Xin-Qiao ChuDepartment of Gastroenterology, Department of Internal Medicine, Guang' Anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Jing-Yu ChenDepartment of Gastroenterology, Department of Internal Medicine, Guang' Anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Yi LuoInstitute of Basic Research in Clinical Medicine, Academy of Chinese Medical Sciences, Beijing, China.
Nan LuoDepartment of Gastroenterology, Department of Internal Medicine, Guang' Anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Zhen LiuDepartment of Gastroenterology, Department of Internal Medicine, Guang' Anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.

Funding

National Natural Science Foundation of China 82474491
6 · The paper itself

Abstract

objectiveTo investigate risk factors for refractory Helicobacter pylori infection (RHPI) complicated by chronic atrophic gastritis (CAG) and to develop a risk prediction model for early identification of high-risk patients.

methodsA retrospective cohort study enrolled 367 RHPI patients from January 2015 to December 2024. Demographic, inflammatory immune, tumor marker, and H. pylori antibody data were collected. Univariate and multivariate logistic regression identified risk factors, followed by LASSO regression for variable selection. A nomogram prediction model was constructed and evaluated using ROC curves, calibration curves, and decision curve analysis (DCA). In vitro experiments validated key findings.

resultsMultivariate analysis identified age (OR = 1.05, 95% CI: 1.02-1.08), smoking (OR = 2.37, 95% CI: 1.46-3.85), CA199 (OR = 1.12, 95% CI: 1.03-1.22), and lymphocyte ratio (LYMPH%) (OR = 1.08, 95% CI: 1.01-1.15) as independent risk factors (all p < 0.05). The nomogram demonstrated excellent predictive performance with AUC 0.833 (95% CI: 0.791-0.876), sensitivity 94.50%, and specificity 78.40%. Calibration and decision curves confirmed good fit and clinical utility. In vitro experiments showed refractory H. pylori strains promoted gastric mucosal damage through enhanced inflammatory immune responses (e.g., IL-10, TNF-α; p < 0.05).

conclusionThis study establishes the first disease-specific prediction model for RHPI complicated by CAG using readily available clinical indicators. The model shows strong predictive performance and clinical utility for early screening and intervention. Further multicenter studies are needed to validate generalizability and explore associations with gastric precancerous progression.

Indexed as

Cell Transformation, NeoplasticGastritis, AtrophicHelicobacter InfectionsStomach NeoplasmsAgedFemaleHelicobacter pyloriHumansInflammationMaleMiddle AgedNomogramsRetrospective StudiesRisk AssessmentRisk Factorschronic atrophic gastritisinflammatory immune responsenomogramrefractory H.Pylori infectionrisk prediction model

Identifiers

PMID42252404
PMCPMC13243002

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.