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 prognosis in MEDLINE in 2000
Search Strategy OVID search* | Sensitivity (%) Development Validation Diff (95% CI)† | Specificity (%) Development Validation Diff (95% CI)† | Precision (%) Development Validation Diff (95% CI)† | Accuracy (%) Development Validation Diff (95% CI)† |
|---|---|---|---|---|
Best Sensitivity | ||||
incidence.sh. | 90.1 | 79.7 | 1.7 | 79.7 |
OR exp mortality | 82.3 | 79.7 | 1.6 | 79.7 |
OR follow-up studies.sh. | -7.8 (-17.9 to 2.3) | 0 | -0.1 (-0.5 to 0.5) | 0 |
OR prognos:.tw. | ||||
OR predict:.tw. | ||||
OR course:.tw. | ||||
Best Specificity | ||||
prognos:.tw. | 52.3 | 94.1 | 3.3 | 93.9 |
OR first episode.tw. | 48.1 | 94.2 | 3.2 | 94.0 |
OR cohort.tw. | -4.2 (-18.6 to 10.3) | 0.1 (-0.3 to 0.5) | -0.1 (-1.3 to 1.3) | 0.1 (-0.4 to 0.5) |
Best Optimization of Sensitivity & Specificity | ||||
prognosis.sh. | 82.9 | 83.7 | 1.9 | 83.7 |
OR diagnosed.tw. | 73.4 | 84.1 | 1.8 | 84.0 |
OR cohort:.mp. | -9.5 (-21.5 to 2.5) | -0.4 (-0.2 to 1.1) | -0.1 (-0.7 to 0.5) | 0.3 (-0.2 to 1.0) |
OR predictor:.tw. | ||||
OR death.tw. | ||||
OR exp models, statistical |