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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 Causation in EMBASE in 2000 |
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| Search term OVID search* |
Sensitivity (%) (n = 215) |
Specificity (%) (n = 27,554) |
Precision (%)† |
Accuracy (%) (n = 27,769) |
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| Best sensitivity exp general aspects of disease |
72.6 (66.6 to 78.5) |
55.7 (55.1 to 56.3) |
1.3 (1.1 to 1.5) |
55.8 (55.2 to 56.4) |
| Best specificity exp risk |
50.7 (44.0 to 57.4) |
87.5 (87.1 to 87.8) |
3.1 (2.5 to 3.6) |
87.2 (86.8 to 87.6) |
| Best Optimization of Sensitivity & Specificity control:.mp. |
60.9 (54.5 to 67.5) |
66.4 (65.9 to 67.0) |
1.4 (1.2 to 1.6) |
66.4 (65.8 to 66.9) |
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*The search strategy is reported using Ovid's search engine syntax for EMBASE. †Denominator varies by row. exp = explode, a search term that automatically includes closely related indexing terms; : = truncation; mp = multiple posting – term appears in title, abstract, or subject heading. | ||||
Haynes et al. BMC Medical Informatics and Decision Making 2005 5:8 doi:10.1186/1472-6947-5-8 |
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