prevalence

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prevalence

[′prev·ə·ləns]
(genetics)
The frequency with which a medical condition is found in specific population at a specific time.
References in periodicals archive ?
HM is not appropriate for all patients, and the 75% positive level III test rate indicates that patients referred to the Sleep Well Program have at least moderate pretest probability of OSA.
The model was adjusted for gender, age, the number of other risk factors, pretest probability, EF, appropriate stress test, patients (admitted or out), and symptom.
Nonsurgical biopsy is also recommended when the patient's pretest probability and imaging test results are discordant, when a benign diagnosis requires specific medical treatment, or if a fully informed patient desires proof of diagnosis prior to surgery.
In this study high post-test diagnostic probability for the absence of coronary artery disease with a negative EST occurred when individual pretest probability of disease (PPD) levels equaled or fell to below 60%, and high post-test diagnostic certainty for CAD was reached for a positive EST when individualized PPD levels equaled or exceeded 89.6%.
To illustrate the impact of pretest probability and assay performance on the posttest probability clinical examples are provided (unpublished data, based on expert experience of Pier-Luigi Meroni).
(4) An understanding of the patient population, patient pretest probability of CAD, Bayes' theorem, and the risk, benefits and limitations of each technology will enable the medical imaging professional to assist clinicians with test selection.
In their study, 3%, 17% and 75% of the patients with low, mode and high pretest probability, respectively, had DVT.
Pretest probability. Dr Lee might have used the Wells prediction rule to help diagnose Julie's condition.
Because a number of situations other than DVT and PE can elevate serum levels of d-dimer Table IIa scoring method using a clinical assessment model to determine pretest probability of DVT and PE has been useful in the diagnostic approach.
"If you apply [these tests] to populations that are at low pretest probability of having the disease, most of your results will be false positives."
This would increase the pretest probability of the impairment and consequently increase the protective value derived from changes to the underwriting requirements tailored to detect that impairment.