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pretestcad  

Pretest Probability for Coronary Artery Disease
View on CRAN: Click here


Download and install pretestcad package within the R console
Install from CRAN:
install.packages("pretestcad")

Install from Github:
library("remotes")
install_github("cran/pretestcad")

Install by package version:
library("remotes")
install_version("pretestcad", "1.2.0")



Attach the package and use:
library("pretestcad")
Maintained by
Jeremy Selva
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-05-19
Latest Update: 2025-05-19
Description:
An application to calculate a patient's pretest probability (PTP) for obstructive Coronary Artery Disease (CAD) from a collection of guidelines or studies. Guidelines usually comes from the American Heart Association (AHA), American College of Cardiology (ACC) or European Society of Cardiology (ESC). Examples of PTP scores that comes from studies are the 2020 Winther et al. basic, Risk Factor-weighted Clinical Likelihood (RF-CL) and Coronary Artery Calcium Score-weighted Clinical Likelihood (CACS-CL) models <doi:10.1016/j.jacc.2020.09.585>, 2019 Reeh et al. basic and clinical models <doi:10.1093/eurheartj/ehy806> and 2017 Fordyce et al. PROMISE Minimal-Risk Tool <doi:10.1001/jamacardio.2016.5501>. As diagnosis of CAD involves a costly and invasive coronary angiography procedure for patients, having a reliable PTP for CAD helps doctors to make better decisions during patient management. This ensures high risk patients can be diagnosed and treated early for CAD while avoiding unnecessary testing for low risk patients.
How to cite:
Jeremy Selva (2025). pretestcad: Pretest Probability for Coronary Artery Disease. R package version 1.2.0, https://cran.r-project.org/web/packages/pretestcad. Accessed 25 Oct. 2026.
Previous versions and publish date:
(2026-09-21 08:50), 1.0.2 (2025-05-19 15:50), 1.1.0 (2025-09-03 13:40)
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Complete documentation for pretestcad
Functions, R codes and Examples using the pretestcad R package
Full pretestcad package functions and examples
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