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Table 1 Single Term with the Best Sensitivity (keeping Specificity ≥ 50%), Best Specificity (keeping Sensitivity ≥ 50%), and Best Optimization of Sensitivity and Specificity (based on the lowest possible absolute difference between sensitivity and specificity) 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 term OVID search* Sensitivity (n = 69) Specificity (n = 27700) Precision† Accuracy (n = 27769)
Best sensitivity predict:.tw. 78.3 (68.5 to 88.0) 91.6 (91.2 to 91.9) 2.3 (1.7 to 2.9) 91.5 (91.2 to 91.7)
Best specificity validat:.tw. 60.9 (49.4 to 72.4) 98.7 (98.6 to 98.9) 10.7 (7.6 to 13.7) 98.6 (98.5 to 98.8)
Best Optimization of Sensitivity & Specificity predict:.tw. 78.3 (68.5 to 88.0) 91.6 (91.2 to 91.9) 2.3 (1.7 to 2.9) 91.5 (91.2 to 91.7)
  1. *The search strategy is 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).