Skip to main content

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)
  1. *Search strategies are reported using Ovid's search engine syntax for EMBASE.
  2. †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.