Reporting and interpreting decision curve analysis: a guide for investigators

B Van Calster, L Wynants, JFM Verbeek, JY Verbakel… - European urology, 2018 - Elsevier
Context Urologists regularly develop clinical risk prediction models to support clinical
decisions. In contrast to traditional performance measures, decision curve analysis (DCA) …

Decision curve analysis

M Fitzgerald, BR Saville, RJ Lewis - Jama, 2015 - jamanetwork.com
Decision curve analysis (DCA) is a method for evaluating the benefits of a diagnostic test
across a range of patient preferences for accepting risk of undertreatment and overtreatment …

Assessing the clinical impact of risk prediction models with decision curves: guidance for correct interpretation and appropriate use

KF Kerr, MD Brown, K Zhu, H Janes - Journal of Clinical Oncology, 2016 - ascopubs.org
The decision curve is a graphical summary recently proposed for assessing the potential
clinical impact of risk prediction biomarkers or risk models for recommending treatment or …

Prospective multi-institutional study evaluating the performance of prostate cancer risk calculators

RK Nam, MW Kattan, JL Chin… - Journal of clinical …, 2011 - ascopubs.org
Purpose Prostate cancer risk calculators incorporate many factors to evaluate an individual's
risk for prostate cancer. We validated two common North American–based, prostate cancer …

A graphical device to represent the outcomes of a logistic regression analysis

R Kranse, M Roobol, FH Schröder - The prostate, 2008 - Wiley Online Library
BACKGROUND Ongoing research on the best way to diagnose prostate cancer has yielded
and will continue to yield vast amounts of information. Based on, for example, information …

Inventory of prostate cancer predictive tools

SF Shariat, PI Karakiewicz, V Margulis… - Current opinion in …, 2008 - journals.lww.com
Decision rules, such as nomograms, provide evidence-based and at the same time
individualized predictions of the outcome of interest. Such predictions have been repeatedly …

Evaluation of markers and risk prediction models: overview of relationships between NRI and decision-analytic measures

B Van Calster, AJ Vickers, MJ Pencina… - Medical Decision …, 2013 - journals.sagepub.com
Background. For the evaluation and comparison of markers and risk prediction models,
various novel measures have recently been introduced as alternatives to the commonly …

ROC curves for clinical prediction models part 1. ROC plots showed no added value above the AUC when evaluating the performance of clinical prediction models

JY Verbakel, EW Steyerberg, H Uno, B De Cock… - Journal of Clinical …, 2020 - Elsevier
Objectives Receiver operating characteristic (ROC) curves show how well a risk prediction
model discriminates between patients with and without a condition. We aim to investigate …

Prostate Cancer Prevention Trial risk calculator 2.0 for the prediction of low-vs high-grade prostate cancer

DP Ankerst, J Hoefler, S Bock, PJ Goodman, A Vickers… - Urology, 2014 - Elsevier
Objective To modify the Prostate Cancer Prevention Trial risk calculator (PCPTRC) to predict
low-vs high-grade (Gleason grade≥ 7) prostate cancer and incorporate percent free …

Multicenter European external validation of a Prostate Health Index–based nomogram for predicting prostate cancer at extended biopsy

G Lughezzani, M Lazzeri, A Haese, T McNicholas… - European urology, 2014 - Elsevier
Background External validation of a prediction tool is mandatory to assess the tool's
accuracy and generalizability within different patient cohorts. Objective To externally validate …