Evidence map›Paper›PMID 41861233›Full record

ArticleMedicine2026

Preoperative gastric cancer immune prognostic score (GCIPS) as a novel biomarker for predicting survival in gastric cancer patients after radical resection: A retrospective cohort study.

Xiaosheng Hu, Jinquan Li, Shanzhong Zhang

Abstract read
In one paragraph

Article in 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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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

The trial behind it

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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

3 authors.

Xiaosheng HuDepartment of Gastrointestinal Surgery, Jingdezhen First People's Hospital, Jingdezhen, Jiangxi, P.R. China.
Jinquan Li
Shanzhong Zhang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to validate the preoperative gastric cancer immune prognostic score (GCIPS) as a prognostic biomarker in resectable gastric cancer (GC). We retrospectively analyzed 226 GC patients undergoing radical resection. The optimal cutoff value of the GCIPS was determined by receiver operating characteristic curve analysis, and patients were stratified accordingly to assess its prognostic value for recurrence-free survival and overall survival. The GCIPS was calculated using preoperative blood parameters. Using receiver operating characteristic-derived cutoff (2.840), patients were stratified into high- and low-GCIPS groups. The high-GCIPS group showed significantly poorer tumor differentiation (P < .001). Kaplan-Meier analysis revealed that high GCIPS was associated with worse 5-year recurrence-free survival (hazard ratio = 2.856, P < .001) and overall survival (hazard ratio = 3.222, P < .001). Multivariate analysis confirmed GCIPS as an independent predictor for both outcomes after adjusting for tumor-node-metastasis stage and differentiation. The GCIPS is a robust, independent prognostic biomarker derived from routine blood tests, offering a practical tool for risk stratification and guiding individualized management in GC after radical resection.

Indexed as

Biomarkers, TumorStomach NeoplasmsAdultAgedFemaleGastrectomyHumansKaplan-Meier EstimateMaleMiddle AgedPreoperative PeriodPrognosisRetrospective StudiesROC CurveBiomarkers, Tumorgastric cancergastric cancer immune prognostic scoreGCIPSprognosis

Identifiers

PMID41861233
PMCPMC13008237

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Registered trials

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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 OpenQuestion graph.