Correction to: British Journal of Cancer (2018) 118, 750–759; 10.1038/bjc.2017.463, published online 30 January 2018.
Since the publication of this paper, the authors have identified an error in the code they used in Stata to compute the Wells risk score for men. With the correct code, the performance of the Wells risk score is improved. The correct values are included in the updated versions of Table 3, Fig. 1 (Fig. 1A), Fig. 2 (Fig. 2A) and Supplementary Table 3 provided here. The Wells risk score is now one of the best performing models in men as well as in women. This does not change the overall conclusions of the analysis but in all places in the paper where reference is made to the best performing models in men, the correct list is Tao, Drive, Ma and Wells.
Table 3.
Colditz | Driver | Freedman | Guesmi | Johnson | Ma (simple) | Ma (Cox) | QCancer10 | Tao | Wei Y-S | Wells | |
---|---|---|---|---|---|---|---|---|---|---|---|
Total n | n=139,257 | n=167,762 | n=101,530 | n=168,825 | n=169,722 | n=150,386 | n=150,386 | n=158,024 | n=149,693 | n=160,256 | n=140,917 |
Incident CRC | n =761 | n = 946 | n = 685 | n = 961 | n = 965 | n = 830 | n = 830 | n = 884 | n = 825 | n = 898 | n = 764 |
Top 10% | |||||||||||
Sensitivity | 13.8 | 20.2 | 21.5 | 11.1 | 12.2 | 22.5 | 24.7 | 24.9 | 26.4 | 14.5 | 28.7 |
Specificity | 90.0 | 90.1 | 90.1 | 90.0 | 90.0 | 90.1 | 90.1 | 90.1 | 90.1 | 90.0 | 90.1 |
LR+ | 1.38 | 2.03 | 2.16 | 1.11 | 1.22 | 2.27 | 2.49 | 2.51 | 2.67 | 1.45 | 2.90 |
LR- | 0.96 | 0.89 | 0.87 | 0.99 | 0.98 | 0.86 | 0.84 | 0.83 | 0.82 | 0.95 | 0.79 |
PPV (%) | 0.8 | 1.1 | 1.4 | 0.6 | 0.7 | 1.2 | 1.4 | 1.4 | 1.5 | 0.8 | 1.6 |
NPV (%) | 99.5 | 99.5 | 99.4 | 99.4 | 99.4 | 99.5 | 99.5 | 99.5 | 99.5 | 99.5 | 99.6 |
Top 20% | |||||||||||
Sensitivity | 25.8 | 38.5 | 35.3 | 29.9 | 23.2 | 40.0 | 42.8 | 42.8 | 41.3 | 23.3 | 45.3 |
Specificity | 80.0 | 80.1 | 80.1 | 80.1 | 80.0 | 80.1 | 80.1 | 80.1 | 80.1 | 80.0 | 80.1 |
LR+ | 1.29 | 1.93 | 1.78 | 1.50 | 1.16 | 2.01 | 2.15 | 2.15 | 2.08 | 1.16 | 2.28 |
LR- | 0.93 | 0.77 | 0.81 | 0.88 | 0.96 | 0.75 | 0.71 | 0.71 | 0.73 | 0.96 | 0.68 |
PPV (%) | 0.7 | 1.1 | 1.2 | 0.8 | 0.7 | 1.1 | 1.2 | 1.2 | 1.1 | 0.7 | 1.2 |
NPV (%) | 99.5 | 99.6 | 99.5 | 99.5 | 99.5 | 99.6 | 99.6 | 99.6 | 99.6 | 99.5 | 99.6 |
Top 80% | |||||||||||
Sensitivity | 86.2 | 95.2 | 90.7 | 96.1 | 71.4 | 97.0 | 96.7 | 97.1 | 95.6 | 84.2 | 97.1 |
Specificity | 20.0 | 20.1 | 20.1 | 20.1 | 20.0 | 20.1 | 20.1 | 20.1 | 20.1 | 20.0 | 20.1 |
LR+ | 1.08 | 1.19 | 1.13 | 1.20 | 0.89 | 1.21 | 1.21 | 1.21 | 1.20 | 1.05 | 1.22 |
LR- | 0.69 | 0.24 | 0.47 | 0.19 | 1.43 | 0.16 | 0.16 | 0.15 | 0.22 | 0.79 | 0.14 |
PPV (%) | 0.6 | 0.7 | 0.8 | 0.7 | 0.5 | 0.7 | 0.7 | 0.7 | 0.7 | 0.6 | 0.7 |
NPV (%) | 99.6 | 99.9 | 99.7 | 99.9 | 99.2 | 99.9 | 99.9 | 99.9 | 99.9 | 99.6 | 99.9 |
Top 90% | |||||||||||
Sensitivity | 94.3 | 98.0 | 96.6 | 99.1 | 82.7 | 98.8 | 99.0 | 99.1 | 97.5 | 91.4 | 99.1 |
Specificity | 10.0 | 10.0 | 10.0 | 10.1 | 10.0 | 10.0 | 10.1 | 10.1 | 10.0 | 10.0 | 10.0 |
LR+ | 1.05 | 1.09 | 1.07 | 1.10 | 0.92 | 1.10 | 1.10 | 1.10 | 1.08 | 1.02 | 1.10 |
LR- | 0.56 | 0.20 | 0.33 | 0.09 | 1.74 | 0.12 | 0.10 | 0.09 | 0.25 | 0.86 | 0.09 |
PPV (%) | 0.6 | 0.6 | 0.7 | 0.6 | 0.5 | 0.6 | 0.6 | 0.6 | 0.6 | 0.6 | 0.6 |
NPV (%) | 99.7 | 99.9 | 99.8 | 99.9 | 99.0 | 99.9 | 99.9 | 99.9 | 99.8 | 99.5 | 100 |
LR+ positive likelihood ratio; LR− negative likelihood ratio; PPV positive predictive value; NPV negative predictive value.
Supplementary information
Supplementary information
Supplementary information is available for this paper at 10.1038/s41416-020-0767-0.
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