Table 2 Combination of Terms with the Best Sensitivity (keeping Specificity ≥ 50%), Best Specificity (keeping Sensitivity ≥ 50%), and Best Optimization of Sensitivity and Specificity (based on abs [sensitivity-specificity]<1%) for Detecting Studies of Clinical Prediction Guides in EMBASE in 2000. Values are percentages (95% confidence intervals).
From: Optimal search strategies for identifying sound clinical prediction studies in EMBASE
Search Strategy OVID search* | Sensitivity (n = 69) | Specificity (n = 27700) | Precision†| Accuracy (n = 27769) |
|---|---|---|---|---|
Best Sensitivity predict:.tw. OR exp methodology OR validat:.tw. | 97.1 (93.1 to 100.0) | 74.2 (73.7 to 74.7) | 0.9 (0.7 to 1.2) | 74.2 (73.7 to 74.7) |
Best Specificity validation.tw. OR prediction.tw. | 60.9 (49.4 to 72.4) | 98.8 (98.6 to 98.9) | 10.8 (7.7 to 13.9) | 98.7 (98.5 to 98.8) |
Best Optimization of Sensitivity & Specificity validat:.mp. OR index.tw. OR model.tw. | 91.3 (84.7 to 98.0) | 90.2 (89.9 to 90.6) | 2.3 (1.7 to 2.8) | 90.2 (89.9 to 90.6) |