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Objective evaluation of data in screening for disease
1Clement J. Zablocki VA Medical Center, 5000 W. National Avenue, Milwaukee, WI 53295, USA. esasse@wi.rr.com
Clinica Chimica Acta; International Journal of Clinical Chemistry
|December 1, 2001
Summary
Evaluating laboratory tests for disease screening requires objective assessments of diagnostic accuracy. Statistical methods like sensitivity, specificity, and predictive values are crucial for determining screening feasibility and test performance.
Area of Science:
- Clinical laboratory science
- Biostatistics
- Public health screening
Background:
- Feasibility of disease screening via laboratory testing necessitates comprehensive assessments.
- Objective evaluation of diagnostic accuracy and screening potential requires specific procedures and statistical calculations.
Purpose of the Study:
- To outline the essential statistical procedures and calculations for evaluating laboratory diagnostic tests.
- To guide the objective assessment of screening test performance and data interpretation.
Main Methods:
- Determination of reference intervals as a foundational step in test evaluation.
- Calculation of sensitivity, specificity, diagnostic predictive values, and receiver-operating characteristic (ROC) curves.
- Utilization of odds ratios and likelihood ratios for performance assessment.
Main Results:
- Established procedures for determining key diagnostic accuracy metrics.
- Demonstrated application of statistical tools for evaluating laboratory tests.
- Provided framework for assessing screening data.
Conclusions:
- Statistical tools are vital for developing clinical decision limits.
- Defined populations and conditions are necessary for acceptable screening.
- Objective evaluation supports informed decisions on screening feasibility.