ArticleResearch square2026
Development of a Combined Risk Factors Prediction Model for Esophageal Squamous Cell Carcinoma: A Secondary Analysis of the Linxian Nutrition Intervention Trial Cohort.
Article in Research square, 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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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.
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12 authors.
Funding
Abstract
Background: Early screening and detection is essential to reduce morbidity and mortality in esophageal cancer (EC), particularly for individuals at high risk. To reduce the burden and high costs of whole-population screening, we developed a risk score model for individualized risk assessment of esophageal squamous cell carcinoma (ESCC) incidence. Methods: The study was conducted using the Linxian Nutrition Intervention Trial cohort. Cox regression and the points system method were used to build a score-based model for ESCC risk prediction. The receiver operating characteristic (ROC) curve and calibration curve were used to examine the distinction and calibration of the models. Results: A total of 29,408 participants were included in final analysis. During the 10-year follow-up period, 1386 ESCC new cases were identified. Cox regression showed that increasing age, smoking, family history of esophageal cancer, dysphagia, fresh vegetable consumption (≤ 1 time/day), low body mass index (BMI < 18.5kg/m Conclusions: Our model effectively stratified the risk of ESCC, demonstrating a potential application in high-risk population identification and ESCC prevention.
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