Table 4 Causes underlying negative and positive false cases in prostate cancer (with regard to the highest predictive algorithm)
Granada Dataset n (%) | Basque Country Dataset n (%) | Murcia Dataset n (%) | Zaragoza Dataset n (%) | |
|---|---|---|---|---|
False negative cases | ||||
• Cases from private hospital in 2000 | 27 (12.8) | 372 (37.4) | 0 (0) | 25 (6.8) |
• Cases admitted in 2000 but discharged in 2001 | 3 (1.4) | 98 (9.8) | 42 (11.1) | 43 (11.7) |
• Cases coded in dx6 position or more | - | 7 (0.7) | 3 (0.8) | - |
• False negative diagnoses | 7 (3.3) | 46 (4.6) | 3 (0.8) | 2 (0.5) |
• Ambulatory care (instead of in-hospital care) | 147 (69.7) | 343 (34.4) | 262(69.3) | 195(53.1) |
• Loss using the algorithm | 25 (11.8) | 125 (12.6) | 52 (13.7) | 99(26.9) |
• Other causes | 2 (0.9) | 4 (0.4) | 16 (4.2) | 3 (0.8) |
211 (100) | 995(100) | 378(100) | 367(100) | |
False positive cases | ||||
• Cases registered in 2001 | - | 2 (2.1) | 1 (3.8) | - |
• Prevalent cases | 9 (69.2) | 78 (82.1) | 14 (66.7) | 36 (81.8) |
• False positive diagnoses | 4 (30.7) | - | 4 (15.4) | 6 (13.6) |
• Missing in the registry | - | 4 (4.2) | 0 (0) | - |
• Other residence than that covered by the registry | - | 7 (7.4) | 1 (3.8) | 2 (4.5) |
• Other causes | - | 4 (4.2) | 6 (23.1) | - |
13(100) | 95(100) | 26(100) | 44(100) |