Clinical Implications of Referral Bias in the Diagnostic Performance of Exercise Testing for Coronary Artery Disease

Author:

Ladapo Joseph A.1,Blecker Saul1,Elashoff Michael R.2,Federspiel Jerome J.345,Vieira Dorice L.6,Sharma Gaurav7,Monane Mark2,Rosenberg Steven2,Phelps Charles E.8,Douglas Pamela S.3

Affiliation:

1. Department of Population Health, New York University School of Medicine, New York, NY

2. CardioDx, Inc, Palo Alto, CA

3. Department of Medicine, Duke University School of Medicine, Durham, NC

4. Department of Health Policy and Management, UNC Gillings School of Global Public Health, Chapel Hill, NC

5. University of North Carolina School of Medicine, Chapel Hill, NC

6. New York University Health Sciences Libraries, New York, NY

7. Department of Medicine, Keck School of Medicine of the University of Southern California, Los Angeles, CA

8. Departments of Economics and Public Health Sciences, University of Rochester, Rochester, NY

Abstract

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.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Cardiology and Cardiovascular Medicine

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