Evidence map›Paper›PMID 42174453›Full record

ArticleBMC gastroenterology2026

Prognostic model for patients with hepatoid adenocarcinoma of the stomach.

Shan Tong, Boqi Xu, Xiang Ye, Jun Yin, Hao Hu

Abstract read
In one paragraph

Article in BMC gastroenterology, 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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0citing papers in PubMed
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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.

Shan Tong *General Surgery Department, The First Affiliated Hospital of Soochow University Suzhou, No. 899, Pinghai Road, Suzhou, Jiangsu, 215006, China.
Boqi Xu *Department of Gastrointestinal Surgery, Suzhou Municipal Hospital, 26 Daoqian Street, Suzhou, Jiangsu Province, 215002, China.
Xiang YeGeneral Surgery Department, The First Affiliated Hospital of Soochow University Suzhou, No. 899, Pinghai Road, Suzhou, Jiangsu, 215006, China.
Jun YinGeneral Surgery Department, The First Affiliated Hospital of Soochow University Suzhou, No. 899, Pinghai Road, Suzhou, Jiangsu, 215006, China. yinjunsun@163.com.
Hao HuGeneral Surgery Department, The First Affiliated Hospital of Soochow University Suzhou, No. 899, Pinghai Road, Suzhou, Jiangsu, 215006, China. hhsuzhou@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionHepatoid adenocarcinoma of the stomach (HAS) is a rare form of gastric cancer. This study assessed the impact of tumor node metastasis (TNM) stage on survival in HAS compared with non-HAS patients, identified prognostic factors, and developed a predictive nomogram.

methodsPatients diagnosed with HAS between September 2012 and August 2022 were retrospectively analyzed. Clinical characteristics and survival outcomes were compared between HAS and non-HAS groups before and after TNM stage matching. Prognostic factors were determined using Kaplan-Meier and Cox regression analyses, and nomograms were constructed for survival prediction.

resultsWithout stage matching, HAS patients showed significantly worse survival than non-HAS patients (HR = 3.09, 95% CI: 2.05-4.67, p < 0.001). After TNM stage matching, no significant difference was observed (HR = 1.14, 95% CI: 0.79-1.64, p = 0.476). The nomogram model incorporating Sal-like protein 4 (SALL4), serum iron (Fe), and free prostate-specific antigen (fPSA) accurately predicted overall survival (AUC = 0.946, 95% CI: 0.897-0.994).

conclusionsThese findings suggest that poorer outcomes in HAS are primarily due to advanced TNM stages, and that SALL4, serum Fe, and fPSA serve as key prognostic indicators.

Indexed as

AdenocarcinomaNomogramsStomach NeoplasmsAgedBiomarkers, TumorFemaleHumansIronKaplan-Meier EstimateLymphatic MetastasisMaleMiddle AgedNeoplasm StagingPrognosisProportional Hazards ModelsRetrospective StudiesBiomarkers, TumorIronTranscription FactorsGastric cancerHepatoid adenocarcinoma of the stomachMortalityPredictionRetrospective

Identifiers

PMID42174453
PMCPMC13390314

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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.