Recommendations for reporting measures of diagnostic accuracy.
1Analytical Insights, LLC, Allison Park, Pennsylvania, USA.
Summary
This guide offers recommendations for reporting diagnostic accuracy measures in Cytopathology. It covers sensitivity, specificity, predictive values, likelihood ratios, ROC curves, and AUC, emphasizing clear statistical reporting.
Area of Science:
- Medical Statistics
- Cytopathology Data Reporting
Background:
- Diagnostic accuracy measures are frequently reported in Cytopathology.
- Optimal reporting of these statistical methods is crucial for clarity and reproducibility.
Purpose of the Study:
- To provide recommendations for reporting common diagnostic accuracy measures in Cytopathology.
- To guide authors on presenting statistical data effectively.
Main Methods:
- Review of common diagnostic accuracy measures: sensitivity, specificity, predictive values, likelihood ratios, ROC curve, AUC.
- Recommendations for data presentation, including 2x2 contingency tables or numerator/denominator values.
- Guidance on calculating and reporting paired measures and 95% confidence intervals (CI).
Main Results:
- Sensitivity and/or specificity reported in 32% of reviewed Cytopathology articles.
- Overview of various statistical measures and their importance in diagnostic accuracy assessment.
- Discussion of multiple methods for calculating 95% CI.
Conclusions:
- Clear reporting of diagnostic accuracy measures enhances the quality of Cytopathology research.
- Authors should provide detailed statistical methods, including CI calculations and chosen methods.
- Consulting a statistician is recommended for appropriate CI selection and reporting.
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