Stomach Cancer Prediction Model (SCoPM): An approach to risk stratification in a diverse U.S. population

Bechien U Wu, Elizabeth Y Dong, Qiaoling Chen, Tiffany Q Luong, Eva Lustigova, Christie Y Jeon and Wansu Chen

PLOS ONE, 2024, vol. 19, issue 5, 1-14

Abstract: Background and aims: Population-based screening for gastric cancer (GC) in low prevalence nations is not recommended. The objective of this study was to develop a risk-prediction model to identify high-risk patients who could potentially benefit from targeted screening in a racial/ethnically diverse regional US population. Methods: We performed a retrospective cohort study from Kaiser Permanente Southern California from January 2008-June 2018 among individuals age ≥50 years. Patients with prior GC or follow-up

Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0303153

DOI: 10.1371/journal.pone.0303153

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