Literature DB >> 29043529

Development and validation of a risk assessment tool for gastric cancer in a general Japanese population.

Masahiro Iida1,2, Fumie Ikeda1,2,3, Jun Hata1,2,3, Yoichiro Hirakawa1,2, Tomoyuki Ohara1,4, Naoko Mukai1,2,3, Daigo Yoshida1,3, Koji Yonemoto5, Motohiro Esaki2, Takanari Kitazono2,3, Yutaka Kiyohara6, Toshiharu Ninomiya7,8,9.   

Abstract

BACKGROUND: There have been very few reports of risk score models for the development of gastric cancer. The aim of this study was to develop and validate a risk assessment tool for discerning future gastric cancer risk in Japanese.
METHODS: A total of 2444 subjects aged 40 years or over were followed up for 14 years from 1988 (derivation cohort), and 3204 subjects of the same age group were followed up for 5 years from 2002 (validation cohort). The weighting (risk score) of each risk factor for predicting future gastric cancer in the risk assessment tool was determined based on the coefficients of a Cox proportional hazards model in the derivation cohort. The goodness of fit of the established risk assessment tool was assessed using the c-statistic and the Hosmer-Lemeshow test in the validation cohort.
RESULTS: During the follow-up, gastric cancer developed in 90 subjects in the derivation cohort and 35 subjects in the validation cohort. In the derivation cohort, the risk prediction model for gastric cancer was established using significant risk factors: age, sex, the combination of Helicobacter pylori antibody and pepsinogen status, hemoglobin A1c level, and smoking status. The incidence of gastric cancer increased significantly as the sum of risk scores increased (P trend < 0.001). The risk assessment tool was validated internally and showed good discrimination (c-statistic = 0.76) and calibration (Hosmer-Lemeshow test P = 0.43) in the validation cohort.
CONCLUSIONS: We developed a risk assessment tool for gastric cancer that provides a useful guide for stratifying an individual's risk of future gastric cancer.

Entities:  

Keywords:  Epidemiology; Gastric cancer; Helicobacter pylori; Pepsinogen status; Risk prediction model

Mesh:

Year:  2017        PMID: 29043529     DOI: 10.1007/s10120-017-0768-8

Source DB:  PubMed          Journal:  Gastric Cancer        ISSN: 1436-3291            Impact factor:   7.370


  30 in total

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