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A cardiac stress test is a cardiological examination that evaluates the cardiovascular system's response to external stress within a controlled clinical setting. This stress response can be induced through physical exercise (usually a treadmill) or intravenous pharmacological stimulation of heart rate.
A negative test can relate to: . Negative diagnostic test, a medical test in which the target parameter that was evaluated was not present; Negative test variation, a software stress test designed to determine the response of the system outside of normal parameters
The length of the green arrows represent the change in absolute (rather than relative) probability given a positive test, and the red arrows represent the change in absolute probability given a negative test. It can be seen from the length of the arrows that, at low pre-test probabilities, a positive test gives a greater change in absolute ...
A negative result is highly predictive of fetal wellbeing and tolerance of labor. The test has a poor positive predictive value with false-positive results in as many as 30% of cases. [ 4 ] [ 5 ] A positive CST indicates high risk of fetal death due to hypoxia [ 3 ] and is a contraindication to labor .
The false positive rate (FPR) is the proportion of all negatives that still yield positive test outcomes, i.e., the conditional probability of a positive test result given an event that was not present. The false positive rate is equal to the significance level. The specificity of the test is equal to 1 minus the false positive rate.
The stress test can result in three outcomes: Pass, Partly Pass and Fail, based on the comparison of the quantified risks to acceptable risk exposure levels and a penalty system. Phase 3: Decision, during which the results of the stress test are analyzed according to the goal and objectives defined in Phase 1. Critical events (events that most ...
Specificity (true negative rate) is the probability of a negative test result, conditioned on the individual truly being negative. If the true status of the condition cannot be known, sensitivity and specificity can be defined relative to a " gold standard test " which is assumed correct.
In fact, post-test probability, as estimated from the likelihood ratio and pre-test probability, is generally more accurate than if estimated from the positive predictive value of the test, if the tested individual has a different pre-test probability than what is the prevalence of that condition in the population.
