Application of the Adaptive Validation Substudy Design to Colorectal Cancer Recurrence

Figures & data

Table 1 Estimates of PPV, NPV, Sensitivity and Specificity Classification Parameters for Possible Outcome Misclassification of CRC Recurrence from the Adaptive Validation Substudy Design

Method	PPV	NPV	Number Validated
Complete data	0.86 (0.75, 0.93)	0.99 (0.97, 1.00)	355
Adaptive Validation –10	0.89 (0.80, 0.95)	0.96 (0.90, 0.99)	110
Adaptive Validation –20	0.90 (0.82, 0.96)	0.98 (0.94, 1.00)	120
	Sensitivity	Specificity
Complete data	0.95 (0.87, 0.99)	0.97 (0.94, 0.98)	355
Adaptive Validation –10	0.96 (0.88, 0.99)	0.95 (0.89, 0.99)	120
Adaptive Validation –20	0.95 (0.891, 0.99)	0.98 (0.94, 1.00)	120

Figure 1 Adaptive validation using (A) 10-person and (B) 20-person validation at a time among CRC recurrences identified through the algorithm to estimate the positive and negative predictive values.

Figure 2 Adaptive validation using (A) 10-person and (B) 20-person validation at a time among CRC recurrences identified in the actively followed cohort to estimate the sensitivity and specificity.