Outcomes of Anatomical versus Functional Testing for Coronary Artery Disease
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BACKGROUND: Many patients have symptoms suggestive of coronary artery disease (CAD) and are often evaluated with the use of diagnostic testing, although there are limited data from randomized trials to guide care. METHODS: We randomly assigned 10,003 symptomatic patients to a strategy of initial anatomical testing with the use of coronary computed tomographic angiography (CTA) or to functional testing (exercise electrocardiography, nuclear stress testing, or stress echocardiography). The composite primary end point was death, myocardial infarction, hospitalization for unstable angina, or major procedural complication. Secondary end points included invasive cardiac catheterization that did not show obstructive CAD and radiation exposure. RESULTS: The mean age of the patients was 60.8±8.3 years, 52.7% were women, and 87.7% had chest pain or dyspnea on exertion. The mean pretest likelihood of obstructive CAD was 53.3±21.4%. Over a median follow-up period of 25 months, a primary end-point event occurred in 164 of 4996 patients in the CTA group (3.3%) and in 151 of 5007 (3.0%) in the functional-testing group (adjusted hazard ratio, 1.04; 95% confidence interval, 0.83 to 1.29; P=0.75). CTA was associated with fewer catheterizations showing no obstructive CAD than was functional testing (3.4% vs. 4.3%, P=0.02), although more patients in the CTA group underwent catheterization within 90 days after randomization (12.2% vs. 8.1%). The median cumulative radiation exposure per patient was lower in the CTA group than in the functional-testing group (10.0 mSv vs. 11.3 mSv), but 32.6% of the patients in the functional-testing group had no exposure, so the overall exposure was higher in the CTA group (mean, 12.0 mSv vs. 10.1 mSv; P<0.001). CONCLUSIONS: In symptomatic patients with suspected CAD who required noninvasive testing, a strategy of initial CTA, as compared with functional testing, did not improve clinical outcomes over a median follow-up of 2 years. (Funded by the National Heart, Lung, and Blood Institute; PROMISE ClinicalTrials.gov number, NCT01174550.).
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The majority of FHS (100%), NLST (91%), PROMISE (77%), and ROMICAT-II (66%) participants were non-Hispanic whites.
“The majority of FHS (100%)44, NLST (91%)18, PROMISE (77%)45, and ROMICAT-II (66%)46 participants were non-Hispanic whites.”
From Deep convolutional neural networks to predict cardiovascular risk from computed tomography (2021) · cites this paper as [45]
Further analysis of PROMISE showed that a substantial proportion of myocardial infarctions occurred in patients with nonobstructive coronary artery disease identified by CTA, disease that would not be detected by functional testing and could prompt important changes in prevention strategies.
“Further analysis showed that a substantial proportion of myocardial infarctions occurred in patients with nonobstructive CAD identified by CTA, disease that would not be detected by functional testing and could prompt important changes in prevention strategies.”
From Clinical management of stable coronary artery disease in patients with type 2 diabetes mellitus: a scientific statement from the American Heart Association (2020) · cites this paper as [231]
PROMISE randomly assigned 8966 patients with stable chest pain (1908 with diabetes mellitus) to either CTA or functional testing and showed no difference in outcomes over a median of 2 years of follow-up.
“PROMISE (Prospective Multicenter Imaging Study for Evaluation of Chest Pain), which randomly assigned 8966 patients with stable chest pain (1908 with diabetes mellitus) to either CTA or functional testing and showed no difference in outcomes over a median of 2 years of follow-up.”
From Clinical management of stable coronary artery disease in patients with type 2 diabetes mellitus: a scientific statement from the American Heart Association (2020) · cites this paper as [231]
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Cites
Regression Models and Life-Tables
Cox, D. R. (1972) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1972.tb00899.x · Cited by 39,793 · see citing works
2013 ACCF/AHA Guideline for the Management of Heart Failure
Yancy, C. W., Jessup, M., Bozkurt, B., Butler, J., Casey, D. E., Drazner, M. H., Fonarow, G. C., Geraci, S. A., Horwich, T., Januzzi, J. L., et al. (2013) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2013.05.019 · Cited by 12,536 · see citing works
Rosuvastatin to Prevent Vascular Events in Men and Women with Elevated C-Reactive Protein
Ridker, P. M., Danielson, E., Fonseca, F. A. H., Genest, J., Gotto, A. M., Kastelein, J. J. P., Koenig, W., Libby, P., Lorenzatti, A. J., MacFadyen, J. G., et al. (2008) · New England Journal of Medicine · doi:10.1056/nejmoa0807646 · Cited by 6,674 · see citing works
2013 ACC/AHA Guideline on the Assessment of Cardiovascular Risk
Goff, D. C., Lloyd-Jones, D. M., Bennett, G., Coady, S., D’Agostino, R. B., Gibbons, R., Greenland, P., Lackland, D. T., Levy, D., O’Donnell, C. J., et al. (2014) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2013.11.005 · Cited by 4,945 · see citing works
Optimal Medical Therapy with or without PCI for Stable Coronary Disease
Boden, W. E., O'Rourke, R. A., Teo, K. K., Hartigan, P. M., Maron, D. J., Kostuk, W. J., Knudtson, M., Dada, M., Casperson, P., Harris, C. L., et al. (2007) · New England Journal of Medicine · doi:10.1056/nejmoa070829 · Cited by 4,699 · see citing works
Effective Doses in Radiology and Diagnostic Nuclear Medicine: A Catalog
Mettler, F. A., Huda, W., Yoshizumi, T. T., & Mahesh, M. (2008) · Radiology · doi:10.1148/radiol.2481071451 · Cited by 2,007 · see citing works
Diagnostic Performance of Coronary Angiography by 64-Row CT
Miller, J. M., Rochitte, C. E., Dewey, M., Arbab‐Zadeh, A., Niinuma, H., Gottlieb, I., Paul, N. S., Clouse, M. E., Shapiro, E. P., Hoe, J. W. M., et al. (2008) · New England Journal of Medicine · doi:10.1056/nejmoa0806576 · Cited by 1,812 · see citing works
Low Diagnostic Yield of Elective Coronary Angiography
Patel, M. R., Peterson, E. D., Dai, D., Brennan, J. M., Redberg, R. F., Anderson, H. V., Brindis, R. G., & Douglas, P. S. (2010) · New England Journal of Medicine · doi:10.1056/nejmoa0907272 · Cited by 1,666 · see citing works
Self-citationGrundy, S. M., Cleeman, J. I., Daniels, S. R., Donato, K. A., Eckel, R. H., Franklin, B. A., Gordon, D. J., Krauss, R. M., Savage, P. J., Smith, S. C., et al. (2005) · Cardiology in Review · doi:10.1097/01.crd.0000380842.14048.7e · Cited by 1,600 · see citing works
Fihn, S. D., Blankenship, J. C., Alexander, K. P., Bittl, J. A., Byrne, J. G., Fletcher, B. J., Fonarow, G. C., Lange, R. A., Levine, G. N., Maddox, T. M., et al. (2014) · Circulation · doi:10.1161/cir.0000000000000095 · Cited by 1,029 · see citing works
Muhlestein, J. B., Lappé, D. L., Lima, J. A. C., Rosen, B. D., May, H. T., Knight, S., Bluemke, D. A., Towner, S. R., Le, V., Bair, T. L., et al. (2014) · JAMA · doi:10.1001/jama.2014.15825 · Cited by 373 · see citing works
Temporal Trends in the Frequency of Inducible Myocardial Ischemia During Cardiac Stress Testing
Rozanski, A., Gransar, H., Hayes, S. W., Min, J. K., Friedman, J. D., Thomson, L., & Berman, D. S. (2013) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2012.11.056 · Cited by 355 · see citing works
Health Insurers and Medical-Imaging Policy — A Work in Progress
Iglehart, J. K. (2009) · New England Journal of Medicine · doi:10.1056/nejmhpr0808703 · Cited by 321 · see citing works
Patel, M. R., Dai, D., Hernandez, A. F., Douglas, P. S., Messenger, J. C., Garratt, K. N., Maddox, T. M., Peterson, E. D., & Roe, M. T. (2014) · American Heart Journal · doi:10.1016/j.ahj.2014.03.001 · Cited by 264 · see citing works
Self-citationDaly, C., Stavola, B. L. D., Sendon, J. L. L., Tavazzi, L., Boersma, E. H., Clemens, F., Danchin, N., Delahaye, F., Gitt, A., Julian, D. G., et al. (2006) · BMJ · doi:10.1136/bmj.38695.605440.ae · Cited by 229 · see citing works
Cumulative Exposure to Ionizing Radiation From Diagnostic and Therapeutic Cardiac Imaging Procedures
Chen, J., Einstein, A. J., Fazel, R., Krumholz, H. M., Wang, Y., Ross, J. S., Ting, H. H., Shah, N. D., Nasir, K., & Nallamothu, B. K. (2010) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2010.05.014 · Cited by 185 · see citing works
Douglas, P. S., Hoffmann, U., Lee, K. L., Mark, D. B., Al-Khalidi, H. R., Anstrom, K., Dolor, R. J., Kosinski, A., Krucoff, M. W., Mudrick, D. W., et al. (2014) · American Heart Journal · doi:10.1016/j.ahj.2014.03.003 · Cited by 141 · see citing works
Self-citationDouglas, P. S., Patel, M. R., Bailey, S. R., Dai, D., Kaltenbach, L. A., Brindis, R. G., Messenger, J. C., & Peterson, E. D. (2011) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2011.05.019 · Cited by 102 · see citing works
Self-citationCardiovascular Imaging Research at the Crossroads
Shaw, L. J., Min, J. K., Hachamovitch, R., Peterson, E. D., Hendel, R. C., Woodard, P. K., Berman, D. S., & Douglas, P. S. (2010) · JACC. Cardiovascular imaging · doi:10.1016/j.jcmg.2009.11.010 · Cited by 88 · see citing works
Self-citationThomas, G. S., Vörös, S., McPherson, J., Lansky, A. J., Winn, M. E., Bateman, T. M., Elashoff, M. R., Lieu, H. D., Johnson, A. M., Daniels, S. E., et al. (2013) · Circulation Cardiovascular Genetics · doi:10.1161/circgenetics.112.964015 · Cited by 73 · see citing works
Self-citationMudrick, D. W., Cowper, P. A., Shah, B. R., Patel, M. R., Jensen, N. C., Peterson, E. D., & Douglas, P. S. (2012) · American Heart Journal · doi:10.1016/j.ahj.2011.11.022 · Cited by 43 · see citing works
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Shaw, L. J., & Narula, J. (2012) · JACC. Cardiovascular imaging · doi:10.1016/j.jcmg.2012.10.007 · Cited by 2 · see citing works
Flagged first, then by citations
Research works printed but not linked: 11
- [1]Ladapo JA Blecker S Douglas PS Physician decision making and trends in the use of cardiac stress testing in the United States: an analysis of repeated cross-sectional data Ann Intern Med 2014 161 482 90 25285541 PMC4335355
- [3]National Institute for Health and Care Excellence Management of stable angina: NICE clinical guideline 126 12 2012 http://www.nice.org.uk/guidance/cg126/resources/guidance-management-of-stable-angina-pdf 31886958
- [4]Montalescot G Sechtem U Achenbach S 2013 ESC guidelines on the management of stable coronary artery disease: the Task Force on the management of stable coronary artery disease of the European Society of Cardiology Eur Heart J 2013 34 2949 3003 23996286
- [9]Budoff MJ Dowe D Jollis JG Diagnostic performance of 64-multi-detector row coronary computed tomographic angiography for evaluation of coronary artery stenosis in individuals without known coronary artery disease: results from the prospective multicenter ACCURACY (Assessment by Coronary Computed Tomographic Angiography of Individuals Undergoing Invasive Coronary Angiography) trial J Am Coll Cardiol 2008 52 1724 32 19007693
- [10]Meijboom WB Meijs MF Schuijf JD Diagnostic accuracy of 64-slice computed tomography coronary angiography: a prospective, multicenter, multivendor study J Am Coll Cardiol 2008 52 2135 44 19095130
- [12]Min JK Dunning A Lin FY Age- and sex-related differences in all-cause mortality risk based on coronary computed tomography angiography findings results from the International Multicenter CONFIRM (Coronary CT Angiography Evaluation for Clinical Outcomes: An International Multicenter Registry) of 23,854 patients without known coronary artery disease J Am Coll Cardiol 2011 58 849 60 21835321
- [13]Mark DB Berman DS Budoff MJ ACCF/ACR/AHA/NASCI/SAIP/SCAI/SCCT 2010 expert consensus document on coronary computed tomographic angiography: a report of the American College of Cardiology Foundation Task Force on Expert Consensus Documents J Am Coll Cardiol 2010 55 2663 99 20513611
- [14]Douglas PS Taylor A Bild D Outcomes research in cardiovascular imaging: report of a workshop sponsored by the National Heart, Lung, and Blood Institute JACC Cardiovasc Imaging 2009 2 897 907 19608141 PMC2790271
- [17]Hicks KA Tcheng JE Bozkurt B 2014 ACC/AHA key data elements and definitions for cardiovascular endpoint events in clinical trials: a report of the American College of Cardiology/American Heart Association Task Force on Clinical Data Standards (Writing Committee to Develop Cardiovascular Endpoints Data Standards) J Am Coll Cardiol 2014 12 29 Epub ahead of print 25553722
- [18]Gerber TC Carr JJ Arai AE Ionizing radiation in cardiac imaging: a science advisory from the American Heart Association Committee on Cardiac Imaging of the Council on Clinical Cardiology and Committee on Cardiovascular Imaging and Intervention of the Council on Cardiovascular Radiology and Intervention Circulation 2009 119 1056 65 19188512
- [31]Cheng VY Berman DS Rozanski A Performance of the traditional age, sex, and angina typicality-based approach for estimating pretest probability of angiographically significant coronary artery disease in patients undergoing coronary computed tomographic angiography: results from the multinational Coronary CT Angiography Evaluation for Clinical Outcomes: An International Multicenter Registry (CONFIRM) Circulation 2011 124 2423 32 22025600 PMC3240578
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Virani, S. S., Newby, L. K., Arnold, S. V., Bittner, V., Brewer, L. C., Demeter, S. H., Dixon, D. L., Fearon, W. F., Hess, B., Johnson, H. M., et al. (2023) · Circulation · doi:10.1161/cir.0000000000001168 · Cited by 1,598 · see citing works
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Virani, S. S., Newby, L. K., Arnold, S. V., Bittner, V., Brewer, L. C., Demeter, S. H., Dixon, D. L., Fearon, W. F., Hess, B., Johnson, H. M., et al. (2023) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2023.04.003 · Cited by 596 · see citing works
Self-citationArnold, S. V., Bhatt, D. L., Barsness, G. W., Beatty, A. L., Deedwania, P. C., Inzucchi, S. E., Kosiborod, M., Leiter, L. A., Lipska, K. J., Newman, J. D., et al. (2020) · Circulation · doi:10.1161/cir.0000000000000766 · Cited by 304 · see citing works
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- Authors
- Douglas, P. S., Hoffmann, U., Patel, M. R., Mark, D. B., Al-Khalidi, H. R., Cavanaugh, B., Cole, J., Dolor, R. J., Fordyce, C. B., Huang, M., Khan, M. A., Kosinski, A. S., Krucoff, M. W., Malhotra, V., Picard, M. H., Udelson, J. E., Velazquez, E. J., Yow, E., Cooper, L. S., & Lee, K. L.
- Affiliations
- Tufts Medical Center (US)
- Massachusetts General Hospital (US)
- Duke University (US)
- New Mexico Heart Institute (US)
- Tufts University (US)
- National Heart, Lung, and Blood Institute (US)
- ORCID
- Venue
- New England Journal of Medicine
- Publisher
- Massachusetts Medical Society
- Published
- 2015-04-02
- Volume
- 372
- Issue
- 14
- Pages
- 1291-1300
- ISSN
- 0028-4793 (ISSN-L)
- 1533-4406
- PMC
- PMC4473773
- OpenAlex
- W2160133249
- Cited by
- 1,543
- References
- 22
- Citations by year
- 2026: 100 · 2025: 108 · 2024: 120 · 2023: 124 · 2022: 136 · 2021: 157 · 2020: 144 · 2019: 135 · 2018: 112 · 2017: 155 · 2016: 165 · 2015: 85
- FWCI
- 139.68
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- New England Journal of Medicine (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
- Funders
- Bristol-Myers Squibb
- Eli Lilly and Company
- AstraZeneca
- Gilead Sciences
- Alnylam Pharmaceuticals
- Ikaria
- Otsuka Pharmaceutical
- Biosensors International Group
- St. Jude Medical
- Abbott Vascular
- National Heart, Lung, and Blood Institute (R01HL098237, K24HL113128, R01HL098235, R01HL098305, R01HL098236)
- Janssen Pharmaceuticals
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Cardiac Imaging and Diagnostics
- Health Sciences › Medicine › Surgery › Coronary Interventions and Diagnostics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac Health and Mental Health
- Keywords
- coronary artery disease, coronary CT angiography, exercise electrocardiography, nuclear stress testing, stress echocardiography, noninvasive cardiac testing, radiation exposure, myocardial infarction, unstable angina, primary endpoint, PROMISE trial, chest pain, diagnostic strategy comparison, obstructive coronary artery disease, major adverse cardiac events
- MeSH terms
- Aged, Angina, Unstable, Chest Pain, Coronary Artery Disease, Electrocardiography, Exercise Test, Female, Follow-Up Studies, Cardiac Catheterization, Humans, Male, Middle Aged, Mortality, Myocardial Infarction, Tomography, X-Ray Computed, Coronary Angiography, Echocardiography, Stress, Kaplan-Meier Estimate
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