Diagnosis, prognosis, and treatment are among the most basic goals of medical practice. Data-driven assessments of risk and outcome are increasingly common, and are more accurate and reliable than clinical judgement. Diagnostic value is usually summarized by test sensitivity, specificity, predictive value, and likelihood ratios. Individualized prognosis is most commonly made with clinical risk calculators. Treatment based on individual risk factors rather than disease alone should lead to greater efficacy and efficiency, and can be assessed with impact studies.
Clinical decision rule Likelihood ratio Risk calculator
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Woodward M. Epidemiology study design and data analysis, vol. 605. 3rd ed. Boca Raton: CRC Press; 2013. p. 675.Google Scholar
Rothman K. Modern epidemiology, vol. 643. 3rd ed. Philadephia: LWW; 2008. p. 644.Google Scholar
Schneider GM, Jull G, Thomas K, Smith A, Emery C, Faris P, et al. Derivation of a clinical decision guide in the diagnosis of cervical facet joint pain. Arch Phys Med Rehabil. 2014;95(9):1695–701.CrossRefGoogle Scholar