Key result
Diagnostic strategies using conditional probability analysis with selective thallium scintigraphy accurately predicted coronary disease (p<0.05) and could avoid half of diagnostic catheterizations.
Why the study?
Does a conditional probability analysis strategy improve the efficiency and accuracy of diagnosing coronary artery disease in women presenting with chest pain?
Population
135 women presenting with chest pain (93 infarct-free women and 42 consecutive female patients)
Comparison
Four hypothetical diagnostic strategies using a… vs Coronary angiogram as the standard reference
Design
Cohort
Authors
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May reduce unnecessary catheterizations in women with chest pain; leaves open need for randomized validation of accuracy.
Observational (n=135)
Does a conditional probability analysis strategy improve the efficiency and accuracy of diagnosing coronary artery disease in women presenting with chest pain?
p-value: p=<0.05
A sequential diagnostic strategy using conditional probability analysis can accurately diagnose coronary artery disease in women while significantly reducing the need for unnecessary scintigraphy and invasive catheterization.
Wijns et al. (1985) conducted an observational in Coronary artery disease (n=135). Conditional probability analysis strategies (S0-S3) vs. Coronary angiogram was evaluated on Accuracy in predicting the presence or absence of coronary disease (p=<0.05). Diagnostic strategies using conditional probability analysis with selective thallium scintigraphy accurately predicted coronary disease (p<0.05) and could avoid half of diagnostic catheterizations.
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