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A Risk Scoring System to Predict the Individual Incidence of Early-onset Colorectal Cancer by Jialin Gu; Yan Li; Jialin Yu; Miao Hu; Yi Ji; Lingchang Li; Canhong Hu; Guoli Wei; Jiege Huo is a Medicine article available to read on EtoBox.

What is A Risk Scoring System to Predict the Individual Incidence of Early-onset Colorectal Cancer about?

## Abstract ## Background The incidence of early-onset colorectal cancer (EOCRC) is increasing at an alarming rate and further studies are needed to identify risk factors and to develop prevention strategies. ## Methods Risk factors significantly associated with EOCRC were identified using meta-analysis. An individual risk appraisal model was constructed using the Rothman–Keller model. Next, a group of random data sets was generated using the binomial distribution function method, to determine nodes of risk assessment levels and to identify low, medium, and high risk populations. ## Results A total of 32,843 EOCRC patients were identified in this study, and nine significant risk factors were identified using meta-analysis, including male sex, Caucasian ethnicity, sedentary lifestyle, inflammatory bowel disease, and high intake of red meat and processed meat. After simulating the risk assessment data of 10,000 subjects, scores of 0 to 0.0018, 0.0018 to 0.0036, and 0.0036 or more were respectively considered as low-, moderate-, and high-risk populations for the EOCRC population based on risk trends from the Rothman–Keller model. ## Conclusion This model can be used for screening of y

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Author

Jialin Gu; Yan Li; Jialin Yu; Miao Hu; Yi Ji; Lingchang Li; Canhong Hu; Guoli Wei; Jiege Huo

Publisher

Springer Science and Business Media LLC

Published

2022

Language

EN

Field

Medicine (Health Sciences)