Evidence map›Paper›PMID 41987082›Full record

ArticleBMC cancer2026

Development and validation of a metabolic-inflammatory-nutritional prognostic model for esophageal squamous carcinoma.

Ruiqi Chen, Yun Ding, Lilan Zhao, Zhaojun Yu, Juan Zhang, Zijie He, Songyu Cai, Genglin Li, Tianxing Guo, Wenshu Chen and 1 more

Abstract readValidation Study
In one paragraph

Article in BMC cancer, 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

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

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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.

Ruiqi ChenShengli Clinical Medical College, Fujian Medical University, Fuzhou, Fujian, 350001, China.
Yun DingDepartment of Thoracic Surgery, Fujian Provincial Hospital, Fuzhou University Affiliated Provincial Hospital, No. 134, East Street, Fuzhou, 350001, China.
Lilan ZhaoDepartment of Thoracic Surgery, Fujian Provincial Hospital, Fuzhou University Affiliated Provincial Hospital, No. 134, East Street, Fuzhou, 350001, China.
Zhaojun YuDepartment of Thoracic Surgery, Fujian Provincial Hospital, Fuzhou University Affiliated Provincial Hospital, No. 134, East Street, Fuzhou, 350001, China.
Juan ZhangShengli Clinical Medical College, Fujian Medical University, Fuzhou, Fujian, 350001, China.
Zijie HeShengli Clinical Medical College, Fujian Medical University, Fuzhou, Fujian, 350001, China.
Songyu CaiShengli Clinical Medical College, Fujian Medical University, Fuzhou, Fujian, 350001, China.
Genglin LiShengli Clinical Medical College, Fujian Medical University, Fuzhou, Fujian, 350001, China.
Tianxing GuoShengli Clinical Medical College, Fujian Medical University, Fuzhou, Fujian, 350001, China.
Wenshu ChenShengli Clinical Medical College, Fujian Medical University, Fuzhou, Fujian, 350001, China.
Xiaojie PanShengli Clinical Medical College, Fujian Medical University, Fuzhou, Fujian, 350001, China. pxj1028@yeah.net.

Funding

Fujian Provincial Department of Science and Technology 2022Y0053Joint Funds of Fujian Province 2024Y9033
6 · The paper itself

Abstract

backgroundThe role of triglyceride-glucose (TyG) as a metabolic index in the prognosis of radical esophageal cancer remains underexplored. This study evaluated the association between TyG and postoperative prognosis in esophageal squamous cell carcinoma (ESCC) and developed a metabolic-inflammatory-nutritional (MIN) scoring model to improve prognostic assessment. MATERIALS AND

methodsThis study retrospectively analyzed 434 ESCC patients who underwent radical esophagectomy, divided into development and internal validation cohorts. A MIN score was constructed using LASSO-Cox regression, and a nomogram was developed. Performance was evaluated using C-index, ROC curves, calibration, and decision curve analysis.

resultsThe preoperative TyG index was an independent protective factor for overall survival (HR = 0.44, 95% CI: 0.30–0.64, P < 0.001). The MIN score showed good discriminative ability in the derivation cohort, with 1-, 3-, and 5-year AUC values of 0.749, 0.752, and 0.760, respectively, and maintained robust performance in the validation cohort (AUC: 0.747, 0.724, and 0.728). The nomogram incorporating the MIN score, age, sex, and TNM stage achieved excellent discrimination, with C-indices of 0.832 in the derivation cohort and 0.799 in the validation cohort.

conclusionThe preoperative TyG index is a protective prognostic factor in ESCC. The MIN score and nomogram provide a robust tool for individualized prognosis prediction, complementing TNM staging.

Indexed as

Blood GlucoseEsophageal NeoplasmsEsophageal Squamous Cell CarcinomaNomogramsTriglyceridesAgedEsophagectomyFemaleHumansMaleMiddle AgedPrognosisRetrospective StudiesROC CurveBlood GlucoseTriglyceridesEsophageal cancerInflammationMetabolismNutritionPrognosis

Identifiers

PMID41987082
PMCPMC13220640

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