Beyond the Usual Prediction Accuracy Metrics: Reporting Results for Clinical Decision Making
A partir de données issues de trois cohortes indépendantes en Europe et aux Etats-Unis, cette étude évalue la capacité d'un modèle d'estimation du risque de cancer du poumon à prédire le bénéfice clinique d'un dépistage à l'aide d'une tomographie numérique
In this issue, Raji and colleagues evaluate strategies based on alternative risk-prediction models for the use of computed tomography screening for lung cancer. The editorialists applaud the study because it illustrates that a test's ability to predict or diagnose a disease is not an adequate determination of its clinical usefulness. The relevant question is whether people are better or worse off if the test is used as part of clinical care.
Annals of Internal Medicine , éditorial, 2011