Decision curve analysis [Neurosurgery Wiki]

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====== Decision curve analysis ======


[[Decision]] curve analysis is a method to evaluate [[prediction model]]s and diagnostic tests that was introduced by Vickers and Elkin in a 2006 publication in Medical [[Decision]] Making.

The method sought to overcome the [[limitation]]s of both traditional statistical metrics, such as [[discrimination]] and [[calibration]], which are not directly informative as to clinical value, and full decision analytic approaches, which are too unwieldy to be used in regular biostatistical practice.

[[Decision curve analysis]] showed that the prediction [[nomogram]] of Han et al. for [[spontaneous intracerebral hemorrhage]] was clinically useful. The study delineates a predictive [[nomogram]] combining clinical and imaging features, which can help identify patients who may die
((Han Q, Li M, Su D, Fu A, Li L, Chen T. Development and validation of a 30-day death nomogram in patients with spontaneous cerebral hemorrhage: a retrospective cohort study. Acta Neurol Belg. 2021 Feb 10. doi: 10.1007/s13760-021-01617-1. Epub ahead of print. PMID: 33566335.)).