Table 2 Combination of Terms with the Best Sensitivity, Best Specificity, and Best Optimization of Sensitivity and Specificity for Detecting Studies of Diagnosis in EMBASE in 2000. Values are percentages (95% confidence intervals).
Search Strategyn OVID search* | Sensitivity (n = 97) | Specificity (n = 27672) | Precision†| Accuracy (n = 27769) |
|---|---|---|---|---|
Best Sensitivity (keeping specificity ≥ 50%) di.fs. OR predict:.tw. OR specificity.tw. | 100.0 (100.0 to 100.0) | 70.4 (69.8 to 70.9) | 1.2 (0.9 to 1.4) | 70.5 (69.9 to 71.0) |
Small drop in sensitivity with a substantive gain in specificity diagnos:.mp. OR predict:.tw. OR specificity.tw. | 96.9 (93.5 to 100.0) | 78.2 (77.7 to 78.7) | 1.5 (1.2 to 1.8) | 78.3 (77.8 to 78.8) |
Best Specificity (keeping sensitivity ≥ 50%) specificity.tw. | 62.9 (53.5 to 72.5) | 98.2 (98.1 to 98.4) | 11.0 (8.4 to 13.6) | 98.1 (97.9 to 98.3) |
Small drop in specificity with a substantive gain in sensitivity specificity.tw. OR accurac:.tw. | 73.2 (64.4 to 82.0) | 97.4 (97.2 to 97.5) | 8.8 (6.9 to 10.8) | 97.3 (97.1 to 97.5) |
Best Optimization of Sensitivity & Specificity‡ sensitiv:.tw. OR diagnostic accuracy.sh. OR diagnostic.tw. | 89.7 (83.6 to 95.7) | 91.6 (91.3 to 91.9) | 3.3 (2.9 to 4.4) | 91.6 (91.3 to 91.9) |