Evidence map›Paper›PMID 41923711›Full record

ArticleCancer reports (Hoboken, N.J.)2026

Construction of a Prognostic Risk Model for Helicobacter pylori Infection in Gastric Cancer Patients and Immunological Analysis.

Zhiying Tian, Miao Su, Bin Yang, Zhaoyun Zhang, Li Zhang

Abstract read
In one paragraph

Article in Cancer reports (Hoboken, N.J.), 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

5 authors.

Zhiying TianDepartment of Gastroenterology, People's Hospital of Hengshui, Hengshui, Hebei, China.ORCID 0009-0004-8949-7056
Miao SuDepartment of Gastroenterology, People's Hospital of Hengshui, Hengshui, Hebei, China.ORCID 0000-0001-7349-4118
Bin YangDepartment of Gastroenterology, People's Hospital of Hengshui, Hengshui, Hebei, China.ORCID 0000-0002-1454-977X
Zhaoyun ZhangDepartment of Cardiovascular Medicine, People's Hospital of Hengshui, Hengshui, Hebei, China.ORCID 0009-0008-9816-2150
Li ZhangDepartment of Gastroenterology, People's Hospital of Hengshui, Hengshui, Hebei, China.ORCID 0009-0001-9889-6540

Funding

Hengshui Science and Technology Bureau 2020014049Z
6 · The paper itself

Abstract

backgroundGastric carcinoma poses a significant global health challenge, often diagnosed late due to its similarity to chronic gastric conditions. Helicobacter pylori (Hp) infection plays a crucial role in gastric carcinogenesis through inflammation and the release of virulent products.

aimThis study aimed to identify Hp infection-related genes associated with gastric cancer prognosis and to develop a prognostic risk model that can predict patient outcomes, characterize the tumor immune microenvironment, and evaluate potential responses to immunotherapy. METHODS AND

resultsIn this study, multiple GEO datasets with Hp infection were analyzed to identify genes associated with gastric cancer prognosis. A predictive risk scoring model comprising nine genes related to Hp infection and gastric cancer prognosis was constructed and validated. The prognostic model demonstrated its efficacy in predicting prognosis, correlating with clinical characteristics, functional enrichment, immune cell infiltration, genomic mutations, and immune regulator expression. Additionally, analysis of immune therapy response suggested the potential prognostic effect of markers in gastric cancer immune response.

conclusionsThese findings offer valuable insights into gastric cancer diagnosis and targeted therapy, paving the way for improved patient outcomes.

Indexed as

Biomarkers, TumorHelicobacter InfectionsHelicobacter pyloriStomach NeoplasmsHumansPrognosisRisk AssessmentTumor MicroenvironmentBiomarkers, Tumorgastric cancerHelicobacter pyloriimmune infiltrationprognostic modelTCGA‐STAD

Identifiers

PMID41923711
PMCPMC13045470

What Socratic holds

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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.