Diagnostic Accuracy
Cross-source consensus on Diagnostic Accuracy from 1 sources and 6 claims.
1 sources · 6 claims
Uses
How it works
Evidence quality
Highlighted claims
- The review's primary outcomes are sensitivity, specificity, positive predictive value, and negative predictive value. — Accuracy of epilepsy screening tools in community and primary care settings across countries in Sub-Saharan Africa: systematic review and meta-analysis protocol
- Eligible studies must report or allow calculation of true positives, false positives, true negatives, and false negatives. — Accuracy of epilepsy screening tools in community and primary care settings across countries in Sub-Saharan Africa: systematic review and meta-analysis protocol
- True and false classification counts will be used to estimate pooled sensitivity, specificity, and diagnostic odds ratio. — Accuracy of epilepsy screening tools in community and primary care settings across countries in Sub-Saharan Africa: systematic review and meta-analysis protocol
- Predictive values will be estimated across a plausible prevalence range because they depend strongly on disease prevalence. — Accuracy of epilepsy screening tools in community and primary care settings across countries in Sub-Saharan Africa: systematic review and meta-analysis protocol
- The Wilson method will calculate 95% confidence intervals for diagnostic accuracy parameters. — Accuracy of epilepsy screening tools in community and primary care settings across countries in Sub-Saharan Africa: systematic review and meta-analysis protocol
- Summary ROC curves and AUC values will be used to assess overall diagnostic performance. — Accuracy of epilepsy screening tools in community and primary care settings across countries in Sub-Saharan Africa: systematic review and meta-analysis protocol