We use the positive predictive value and negative predictive value of a test to summarize that test's predictive ability. To drive the point home, think about this: in a population in which no one ...

[1] In a recent study, Lipsett and colleagues [1] aimed to determine the negative predictive value of a CXR in children ... CXR findings were classified as "positive," "negative," or "equivocal ...

Although the sensitivity and specificity of a test remains static over time, the prevalence of disease in the community will impact the predictive value of a positive or negative result.

The data illustrates each test’s approximate ability to avoid false-positive and false-negative results, known as specificity and sensitivity, as well as their overall predictive value ...

We performed a systematic review to investigate the positive and negative predictive values of KIT immunostaining for KIT mutations in GIST. Methods: A Medline search of the MeSH terms “KIT mutation” ...

The primary outcome was a comparison of positive predictive values and negative predictive values of organisms grown in midstream urine, with the presence or absence of the organism in catheter ...

For each model, the negative predictive value, positive predictive value, sensitivity, and specificity were estimated with the use of stratified Monte Carlo cross-validation (see the Supplementary ...

HER2 is a well-established negative predictive biomarker in metastatic colorectal ... This article discusses the prognostic and predictive value of HER2 as a biomarker in CRC and assesses its emerging ...