SynthesisJournal of the American Heart Association2013
Clinical implications of referral bias in the diagnostic performance of exercise testing for coronary artery disease.
Synthesis in Journal of the American Heart Association, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
18 citing papers in PubMed, 40 citations in OpenAlex.
- Accuracy of Computed Tomographic Angiography and Single-Photon Emission Computed Tomography-Acquired Myocardial Perfusion Imaging for the Diagnosis of Coronary Artery Disease.Circulation. Cardiovascular imaging · 2015Trial
- [Coronary heart disease-a German paradox : Using AI-based technology to solve a relevant healthcare problem].Herzschrittmachertherapie & Elektrophysiologie · 2026Review
- Real-world evaluation of an algorithmic machine-learning-guided testing approach in stable chest pain: a multinational, multicohort study.European heart journal. Digital health · 2024Article
- Article
- Exercise Stress Echocardiography for Stable Coronary Artery Disease: Succumbed to the Modern Conceptual Revolution or Still Alive and Kicking?Reviews in cardiovascular medicine · 2022Review
- Diagnostic Accuracy Studies in Radiology: How to Recognize and Address Potential Sources of Bias.Radiology research and practice · 2021Review
- Diagnostic performance of an artificial intelligence-driven cardiac-structured reporting system for myocardial perfusion SPECT imaging.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2020Article
- The Clinical Utility of a Precision Medicine Blood Test Incorporating Age, Sex, and Gene Expression for Evaluating Women with Stable Symptoms Suggestive of Obstructive Coronary Artery Disease: Analysis from the PRESET Registry.Journal of women's health (2002) · 2019Article
- Limited Use of Outpatient Stress Testing in Young Patients With Atypical Chest Pain.Federal practitioner : for the health care professionals of the VA, DoD, and PHS · 2018Article
- Engaging military couples in marital research: does requesting referrals from service members to recruit their spouses introduce sample bias?BMC medical research methodology · 2018Article
- Differences by HIV serostatus in coronary artery disease severity and likelihood of percutaneous coronary intervention following stress testing.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2018Article
- Equivocal tests after contrast stress-echocardiography compared with invasive coronary angiography or with CT angiography: CT calcium score in mildly positive tests may spare unnecessary coronary angiograms.Cardiovascular ultrasound · 2018Article
- Article
- Projected morbidity and mortality from missed diagnoses of coronary artery disease in the United States.International journal of cardiology · 2015Article
- The diagnosis of CAD in women: addressing the unmet need - a report from the national expert roundtable meeting.Population health management · 2015Review
- New insights from major prospective cohort studies with cardiac CT.Current cardiology reports · 2015Review
- Physician decision making and trends in the use of cardiac stress testing in the United States: an analysis of repeated cross-sectional data.Annals of internal medicine · 2014Article
- Propensity score matching: a conceptual review for radiology researchers.Korean journal of radiologyReview
Corrections and comments
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Authors and funding
10 authors at 7 institutions in 1 country.
Funding
Abstract
backgroundExercise 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
resultsSearching 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.
conclusionsExercise 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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.