Format

Send to:

Choose Destination
See comment in PubMed Commons below
Am J Cardiol. 1999 Mar 1;83(5):660-6.

Meta-analysis of exercise testing to detect coronary artery disease in women.

Author information

  • 1Department of Medicine, University of California, San Francisco, USA.

Abstract

To determine the accuracy of the exercise electrocardiogram (ECG), exercise thallium, and exercise echocardiogram (echo) for the diagnosis of coronary artery disease in women, English language studies published between 1966 and 1995 were identified through a MEDLINE search. Studies that contained data on at least 50 women who underwent both an exercise test and coronary angiography were examined. Studies were reviewed for sensitivity, specificity, and methodologic characteristics by 2 independent reviewers. Nineteen studies met the inclusion criteria for exercise electrocardiography, 5 studies for exercise thallium, and 3 studies for exercise echo. The exercise ECG had a weighted mean sensitivity, specificity, and a likelihood ratio (LR) of 0.61 (95% confidence intervals 0.54 to 0.68), 0.70 (0.64 to 0.75), (+) LR 2.25 (1.84 to 2.66), (-) LR 0.55 (0.47 to 0.62), respectively. The exercise thallium had a weighted mean sensitivity, specificity, and LRs of 0.78 (0.72 to 0.83), 0.64 (0.51 to 0.77), (+) LR 2.87 (1.0 to 4.96), (-) LR 0.36 (0.27 to 0.45). The exercise echo had a weighted mean sensitivity, specificity, and LRs of 0.86 (0.75 to 0.96), 0.79 (0.72 to 0.86), (+) LR 4.29 (2.93 to 5.65), (-) LR 0.18 (0.05 to 0.31). Thallium subset analysis revealed that studies using planar imaging were more specific than those using tomographic imaging. Thus, currently available exercise tests are only moderately sensitive and specific for the diagnosis of coronary artery disease in women.

Comment in

PMID:
10080415
[PubMed - indexed for MEDLINE]
PubMed Commons home

PubMed Commons

0 comments
How to join PubMed Commons

    Supplemental Content

    Full text links

    Icon for Elsevier Science
    Loading ...
    Write to the Help Desk