Cut-Point± | Odds | Sensitivity2
| Specificity3
| Positive | Negative | % Warranting | c-statistic7
|
|---|
| Â | ratio1
| Â | Â | Â | Â | referral6
| Â |
|---|
| Â | Â | Â | Â | Predictive value (%)4
| Predictive value (%)5
| Â | Â |
|---|
>= 21 |   . | 2.04 | 100.00 | 100.0 | 68.0 | 68.2 | 0.510 |
>= 9 | 55.53 | 69.39 | 96.08 | 89.5 | 86.7 | 87.4 | 0.827 |
>= 6 | 81.43 | 85.71 | 93.14 | 85.7 | 93.1 | 90.7 | 0.894 |
>= 4 | 33.54 | 93.88 | 68.63 | 59.0 | 95.9 | 76.8 | 0.813 |
>= 1 | 8.28 | 97.96 | 14.71 | 35.6 | 93.8 | 41.7 | 0.563 |
- * Only quartiles and key cut points are displayed in the table.
- The cut point is defined as different total raw scores on the ABSST ranging from 0 to 24.
-
1 The odds ratio was defined as those MS patients more likely to be referred to a urologist than not. Values > 1 indicated that the patient is that many more times (for example 8.28) likely to be referred to a urologist.
-
2 The sensitivity refers to those results that are true results (e.g. would refer to a urologist). Minimum criteria was ≥0.75.
-
3 Specificity refers to those results that are truly negative results (e.g. would NOT refer to a urologist). Minimum criteria was ≥0.80.
-
4 PPV refers to proportion of positive test results that are true positives (e.g. proportion of patients who would warrant a referral to a urologist). Values closer to 100% approximates higher proportion of true positives.
-
5 NPV refers to the proportion of negative results that are true negatives (e.g. the proportion of patients who would NOT warrant a referral to a urologist are not referred). Values closer to 100% approximates higher proportions of true negatives.
-
6 The percent of classified patients is the percentage of patients who are warranted to be referred to a urologist or not.
-
7 The c-statistic is the area under the ROC curve. Values closer to 1 approximate a perfect model.
