Development and validation of a relatively accurate gastric cancer high-risk group screening scoring system in urban residents

• DOI: 10.1007/s12094-024-03748-2
• Publication Date: 2024-10-08T06:04:04Z
• Authors: Weipeng Zhao; Tian Li; Ping Wang; Rui Zhang; Fan Gao; Zongfeng Ma; Siqi Zhen; Feng Liu; Yanliu Chu
• Keywords: Univariate; Carcinoembryonic antigen

Abstract Purpose Our study aimed to develop a relatively accurate gastric cancer (GC) screening score system for urban residents and validate the efficacy. Methods The present included derivation cohort ( n = 3406) validation 868) of residents. Applying full-stack engineering intelligent platform Hualian Health Big Data Shandong University, clinical physical examination data subjects were collected. Univariate multivariate analyses used identify risk factors GC, subsequently, an optimal prediction rule was established create three distinct scoring systems. Results In GC-risk I, age, plateletocrit (PCT), carcinoembryonic antigen (CEA), glucose, albumin, creatinine independent with scores ranging from 0 28 cut-off 15.5. second consisted PCT, RDW-CV, CEA, creatinine, 31. point determined be III comprise sex, RDW CV, 21 10.5. All systems demonstrated excellent discrimination achieving AUC 0.884, 0.89, 0.876, respectively. external validation, values 0.654, 0.658, 0.714. Notably, exhibited highest efficiency. Conclusions Urban benefited effective verified systems, which performance in identifying individuals elevated GC.