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Clinical Implications of Referral Bias in the Diagnostic Performance of Exercise Testing for Coronary Artery Disease
BACKGROUND: Exercise testing with echocardiography or myocardial perfusion imaging is widely used to risk‐stratify patients with suspected coronary artery disease. However, reports of diagnostic performance rarely adjust for referral bias, and this practice may adversely influence patient care. Ther...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Blackwell Publishing Ltd
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3886773/ https://www.ncbi.nlm.nih.gov/pubmed/24334965 http://dx.doi.org/10.1161/JAHA.113.000505 |
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author | Ladapo, Joseph A. Blecker, Saul Elashoff, Michael R. Federspiel, Jerome J. Vieira, Dorice L. Sharma, Gaurav Monane, Mark Rosenberg, Steven Phelps, Charles E. Douglas, Pamela S. |
author_facet | Ladapo, Joseph A. Blecker, Saul Elashoff, Michael R. Federspiel, Jerome J. Vieira, Dorice L. Sharma, Gaurav Monane, Mark Rosenberg, Steven Phelps, Charles E. Douglas, Pamela S. |
author_sort | Ladapo, Joseph A. |
collection | PubMed |
description | BACKGROUND: Exercise testing with echocardiography or myocardial perfusion imaging is widely used to risk‐stratify patients with suspected coronary artery disease. However, reports of diagnostic performance rarely adjust for referral bias, and this practice may adversely influence patient care. Therefore, we evaluated the potential impact of referral bias on diagnostic effectiveness and clinical decision‐making. METHODS AND RESULTS: Searching PubMed and EMBASE (1990–2012), 2 investigators independently evaluated eligibility and abstracted data on study characteristics and referral patterns. Diagnostic performance reported in 4 previously published meta‐analyses of exercise echocardiography and myocardial perfusion imaging was adjusted using pooled referral rates and Bayesian methods. Twenty‐one studies reported referral patterns in 49 006 patients (mean age 60.7 years, 39.6% women, and 0.8% prior history of myocardial infarction). Catheterization referral rates after normal and abnormal exercise tests were 4.0% (95% CI, 2.9% to 5.0%) and 42.5% (36.2% to 48.9%), respectively, with odds ratio for referral after an abnormal test of 14.6 (10.7 to 19.9). After adjustment for referral, exercise echocardiography sensitivity fell from 84% (80% to 89%) to 34% (27% to 41%), and specificity rose from 77% (69% to 86%) to 99% (99% to 100%). Similarly, exercise myocardial perfusion imaging sensitivity fell from 85% (81% to 88%) to 38% (31% to 44%), and specificity rose from 69% (61% to 78%) to 99% (99% to 100%). Summary receiver operating curve analysis demonstrated only modest changes in overall discriminatory power but adjusting for referral increased positive‐predictive value and reduced negative‐predictive value. CONCLUSIONS: Exercise echocardiography and myocardial perfusion imaging are considerably less sensitive and more specific for coronary artery disease after adjustment for referral. Given these findings, future work should assess the comparative ability of these and other tests to rule‐in versus rule‐out coronary artery disease. |
format | Online Article Text |
id | pubmed-3886773 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Blackwell Publishing Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-38867732014-01-10 Clinical Implications of Referral Bias in the Diagnostic Performance of Exercise Testing for Coronary Artery Disease Ladapo, Joseph A. Blecker, Saul Elashoff, Michael R. Federspiel, Jerome J. Vieira, Dorice L. Sharma, Gaurav Monane, Mark Rosenberg, Steven Phelps, Charles E. Douglas, Pamela S. J Am Heart Assoc Original Research BACKGROUND: Exercise testing with echocardiography or myocardial perfusion imaging is widely used to risk‐stratify patients with suspected coronary artery disease. However, reports of diagnostic performance rarely adjust for referral bias, and this practice may adversely influence patient care. Therefore, we evaluated the potential impact of referral bias on diagnostic effectiveness and clinical decision‐making. METHODS AND RESULTS: Searching PubMed and EMBASE (1990–2012), 2 investigators independently evaluated eligibility and abstracted data on study characteristics and referral patterns. Diagnostic performance reported in 4 previously published meta‐analyses of exercise echocardiography and myocardial perfusion imaging was adjusted using pooled referral rates and Bayesian methods. Twenty‐one studies reported referral patterns in 49 006 patients (mean age 60.7 years, 39.6% women, and 0.8% prior history of myocardial infarction). Catheterization referral rates after normal and abnormal exercise tests were 4.0% (95% CI, 2.9% to 5.0%) and 42.5% (36.2% to 48.9%), respectively, with odds ratio for referral after an abnormal test of 14.6 (10.7 to 19.9). After adjustment for referral, exercise echocardiography sensitivity fell from 84% (80% to 89%) to 34% (27% to 41%), and specificity rose from 77% (69% to 86%) to 99% (99% to 100%). Similarly, exercise myocardial perfusion imaging sensitivity fell from 85% (81% to 88%) to 38% (31% to 44%), and specificity rose from 69% (61% to 78%) to 99% (99% to 100%). Summary receiver operating curve analysis demonstrated only modest changes in overall discriminatory power but adjusting for referral increased positive‐predictive value and reduced negative‐predictive value. CONCLUSIONS: Exercise echocardiography and myocardial perfusion imaging are considerably less sensitive and more specific for coronary artery disease after adjustment for referral. Given these findings, future work should assess the comparative ability of these and other tests to rule‐in versus rule‐out coronary artery disease. Blackwell Publishing Ltd 2013-12-19 /pmc/articles/PMC3886773/ /pubmed/24334965 http://dx.doi.org/10.1161/JAHA.113.000505 Text en © 2013 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley Blackwell. This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial (http://creativecommons.org/licenses/by-nc/3.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Original Research Ladapo, Joseph A. Blecker, Saul Elashoff, Michael R. Federspiel, Jerome J. Vieira, Dorice L. Sharma, Gaurav Monane, Mark Rosenberg, Steven Phelps, Charles E. Douglas, Pamela S. Clinical Implications of Referral Bias in the Diagnostic Performance of Exercise Testing for Coronary Artery Disease |
title | Clinical Implications of Referral Bias in the Diagnostic Performance of Exercise Testing for Coronary Artery Disease |
title_full | Clinical Implications of Referral Bias in the Diagnostic Performance of Exercise Testing for Coronary Artery Disease |
title_fullStr | Clinical Implications of Referral Bias in the Diagnostic Performance of Exercise Testing for Coronary Artery Disease |
title_full_unstemmed | Clinical Implications of Referral Bias in the Diagnostic Performance of Exercise Testing for Coronary Artery Disease |
title_short | Clinical Implications of Referral Bias in the Diagnostic Performance of Exercise Testing for Coronary Artery Disease |
title_sort | clinical implications of referral bias in the diagnostic performance of exercise testing for coronary artery disease |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3886773/ https://www.ncbi.nlm.nih.gov/pubmed/24334965 http://dx.doi.org/10.1161/JAHA.113.000505 |
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