|
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). |
||||
| 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) |
|
*Search strategies are reported using Ovid's search engine syntax for EMBASE. †Denominator varies by row. : = truncation; tw = textword (word or phrase appears in title or abstract); exp = exploded subject heading; mp = multiple posting – term appears in title, abstract, or subject heading. | ||||
Holland et al. BMC Medical Informatics and Decision Making 2005 5:11 doi:10.1186/1472-6947-5-11 |
||||