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Original Research

Assessing Individual Risk for High-Risk Early Colorectal Neoplasm for Pre-Selection of Screening in Shanghai, China: A Population-Based Nested Case–Control Study

, , , , , , , , , & show all
Pages 3867-3878 | Published online: 12 May 2021

Figures & data

Figure 1 Flow diagram for selection of study cohort and nested case–control participants.

Figure 1 Flow diagram for selection of study cohort and nested case–control participants.

Table 1 Characteristics of Participants in the Training and Validation Sets

Table 2 Baseline Characteristics of Cases of Early Colorectal Neoplasm and Controls in the Training and Validation Datasets

Table 3 Univariate and Multivariate Predictors of Early Colorectal Neoplasm in the Training Set

Figure 2 ROC curves for early colorectal neoplasm risk predictions. The yellow solid line is reference line. The solid line with blue is for risk model with only age and family history of first-degree relatives with CRC. The green line is for risk model with age, family history of first-degree relatives with CRC and lifestyle risk factors. The horizontal line corresponds to 1-specificity. The vertical line corresponds to sensitivity.

Figure 2 ROC curves for early colorectal neoplasm risk predictions. The yellow solid line is reference line. The solid line with blue is for risk model with only age and family history of first-degree relatives with CRC. The green line is for risk model with age, family history of first-degree relatives with CRC and lifestyle risk factors. The horizontal line corresponds to 1-specificity. The vertical line corresponds to sensitivity.

Table 4 Sensitivity and Specificity of Early Colorectal Neoplasm Risk-Based Model at Different Predicted Risk Cutoff Values

Table 5 Summary of Risk Prediction Models for CRC and ACN