PROspective Multicenter Imaging Study for Evaluation of chest pain: Rationale and design of the PROMISE trial
Open accessAbstract
Background Suspected coronary artery disease (CAD) is one of the most common, potentially life-threatening diagnostic problems clinicians encounter. However, no large outcome-based randomized trials have been performed to guide the selection of diagnostic strategies for these patients. Methods The PROMISE study is a prospective, randomized trial comparing the effectiveness of 2 initial diagnostic strategies in patients with symptoms suspicious for CAD. Patients are randomized to either (1) functional testing (exercise electrocardiogram, stress nuclear imaging, or stress echocardiogram) or (2) anatomical testing with ≥64-slice multidetector coronary computed tomographic angiography. Tests are interpreted locally in real time by subspecialty certified physicians, and all subsequent care decisions are made by the clinical care team. Sites are provided results of central core laboratory quality and completeness assessment. All subjects are followed up for ≥1 year. The primary end point is the time to occurrence of the composite of death, myocardial infarction, major procedural complications (stroke, major bleeding, anaphylaxis, and renal failure), or hospitalization for unstable angina. Results More than 10,000 symptomatic subjects were randomized in 3.2 years at 193 US and Canadian cardiology, radiology, primary care, urgent care, and anesthesiology sites. Conclusion Multispecialty community practice enrollment into a large pragmatic trial of diagnostic testing strategies is both feasible and efficient. The PROMISE trial will compare the clinical effectiveness of an initial strategy of functional testing against an initial strategy of anatomical testing in symptomatic patients with suspected CAD. Quality of life, resource use, cost-effectiveness, and radiation exposure will be assessed.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In PROMISE, there was a graded association between extent of deep learning calcium score and cardiac events, defined as the composite of death, myocardial infarction, or hospitalization for unstable angina over median 25 months (P < 0.001).
“In 4021 patients acquired at 193 North American sites, there was a graded association between extent of deep learning calcium score and cardiac events, defined as the composite of death, myocardial infarction, or hospitalization for unstable angina over median 25 months (P < 0.001)(Fig. 2b)19.”
From Deep convolutional neural networks to predict cardiovascular risk from computed tomography (2021) · cites this paper as [19]
The Abstract Results reports enrollment at 193 US and Canadian sites, and the Abstract Methods identifies death, myocardial infarction, and hospitalization for unstable angina as components of the planned endpoint. But this rationale-and-design paper does not report an analysis of 4,021 patients, deep-learning calcium scores, a graded association with events, median 25-month follow-up, or P < 0.001. Its planned primary endpoint also includes major procedural complications, which the cited sentence omits. (LLM, conf=0.87)
Experimental — accuracy not yet measuredRisk prediction was robust across multiple clinical scenarios, including a primary prevention asymptomatic setting with non-gated chest CT, and dedicated ECG-gated cardiac CT in stable and acute chest pain settings.
“Risk prediction was robust across multiple clinical scenarios, including a primary prevention asymptomatic setting with non-gated chest CT (NLST)18, as well as dedicated ECG-gated cardiac CT in stable (PROMISE)19 and acute (ROMICAT-II)20 chest pain setting.”
From Deep convolutional neural networks to predict cardiovascular risk from computed tomography (2021) · cites this paper as [19]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Heart Disease and Stroke Statistics—2013 Update: A Report From the American Heart Association
Go, A. S., Mozaffarian, D., Roger, V. L., Benjamin, E. J., Berry, J. D., Borden, W. B., Bravata, D. M., Dai, S., Ford, E. S., Fox, C. S., et al. (2013) · Circulation · doi:10.1161/cir.0b013e31828124ad · Cited by 5,292 · see citing works
Bamberg, F., Sommer, W. H., Hoffmann, V., Achenbach, S., Nikolaou, K., Conen, D., Reiser, M. F., Hoffmann, U., & Becker, C. R. (2011) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2010.12.043 · Cited by 173 · see citing works
Self-citation
Flagged first, then by citations
Research works printed but not linked: 32
- [2]Selker HP Zalenski RJ Antman EM An evaluation of technologies for identifying acute cardiac ischemia in the emergency department: a report from a National Heart Attack Alert Program Working Group Ann Emerg Med 1997 29 1 13 87 8998086
- [3]Fihn SD Gardin JM Abrams J 2012 ACCF/AHA/ACP/AATS/PCNA/SCAI/STS Guideline for the diagnosis and management of patients with stable ischemic heart disease: a report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines, and the American College of Physicians, American Association for Thoracic Surgery, Preventive Cardiovascular Nurses Association, Society for Cardiovascular Angiography and Interventions, and Society of Thoracic Surgeons J Am Coll Cardiol 2012 60 24 e44 e164 23182125
- [4]Non-invasive cardiac imaging technologies for the diagnosis of coronary artery disease: a summary of evidence-based analyses Ont Health Technol Assess Ser 2010 10 7 1 40 PMC3377536 23074410
- [5]Shaw LJ Marwick TH Zoghbi WA Why all the focus on cardiac imaging? JACC Cardiovasc Imaging 2010 3 7 789 94 20633864
- [6]Fleischmann KE Hunink MG Kuntz KM Exercise echocardiography or exercise SPECT imaging? A meta-analysis of diagnostic test performance JAMA 1998 280 10 913 20 9739977
- [7]Mowatt G Vale L Brazzelli M Systematic review of the effectiveness and cost-effectiveness, and economic evaluation, of myocardial perfusion scintigraphy for the diagnosis and management of angina and myocardial infarction Health Technol Assess 2004 8 30 iii iv 1 207 15248938
- [8]Mudrick DW Cowper PA Shah BR Downstream procedures and outcomes after stress testing for chest pain without known coronary artery disease in the United States Am Heart J 2012 163 3 454 61 22424017 PMC3886123
- [9]Rozanski A Gransar H Hayes SW Temporal trends in the frequency of inducible myocardial ischemia during cardiac stress testing: 1991 to 2009 J Am Coll Cardiol 2013 61 10 1054 65 23473411
- [10]Patel MR Peterson ED Dai D Low diagnostic yield of elective coronary angiography N Engl J Med 2010 362 10 886 95 20220183 PMC3920593
- [11]Iglehart JK The new era of medical imaging--progress and pitfalls N Engl J Med 2006 354 26 2822 8 16807422
- [12]Shaw L Narula J From adequate evidence to optimal evidence JACC Cardiovasc Imaging 2012 5 12 1292 3 23236983
- [13]Budoff MJ Dowe D Jollis JG Diagnostic performance of 64-multidetector 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
- [14]Meijboom WB Meijs MFL 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
- [15]Miller JM Rochitte CE Dewey M Diagnostic performance of coronary angiography by 64-row CT N Engl J Med 2008 359 22 2324 36 19038879
- [16]Schuetz GM Zacharopoulou NM Schlattmann P Meta-analysis: noninvasive coronary angiography using computed tomography versus magnetic resonance imaging Ann Intern Med 2010 167 77 20124233
- [17]Hadamitzky M Distler R Meyer T Prognostic value of coronary computed tomographic angiography in comparison with calcium scoring and clinical risk scores Circ Cardiovasc Imaging 2011 16 23 20884832
- [19]Hulten EA Carbonaro S Petrillo SP Prognostic value of cardiac computed tomography angiography: a systematic review and meta-analysis J Am Coll Cardiol 2011 1237 47 21145688
- [20]Shreibati JB Baker LC Hlatky MA Association of coronary CT angiography or stress testing with subsequent utilization and spending among Medicare beneficiaries JAMA 2011 306 19 2128 36 22089720
- [21]Tonino PA De Bruyne B Pijls NH Fractional flow reserve versus angiography for guiding percutaneous coronary intervention N Engl J Med 2009 360 3 213 24 19144937
- [22]Lauer MS CT angiography: first things first Circ Cardiovasc Imaging 2009 2 1 1 3 19808556
- [23]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 7 897 907 19608141 PMC2790271
- [24]Hlatky MA Douglas PS Cook NL Future directions for cardiovascular disease comparative effectiveness research: report of a workshop sponsored by the National Heart, Lung, and Blood Institute J Am Coll Cardiol 2012 60 7 569 80 22796257 PMC3416944
- [25]Chalkidou K Tunis S Whicher D The role for pragmatic randomized controlled trials (pRCTs) in comparative effectiveness research Clin Trials 2012 9 4 436 46 22752634
- [26]Beller GA Bonow RO Fuster V ACCF 2008 Recommendations for Training in Adult Cardiovascular Medicine Core Cardiology Training (COCATS 3) (revision of the 2002 COCATS Training Statement) J Am Coll Cardiol 2008 51 3 335 8 18206749
- [27]Pellikka PA Nagueh SF Elhendy AA American Society of Echocardiography recommendations for performance, interpretation, and application of stress echocardiography J Am Soc Echocardiogr 2007 20 9 1021 41 17765820
- [28]Nichols KJ Bacharach SL Bergmann SR Instrumentation quality assurance and performance Journal of Nuclear Cardiology 2007 14 6 e61 e76 17174795
- [29]Raff GL Abidov A Achenbach S SCCT guidelines for the interpretation and reporting of coronary computed tomographic angiography J Cardiovasc Comput Tomogr 2009 3 2 122 36 19272853
- [30]Abbara S Arbab-Zadeh A Callister TQ SCCT guidelines for performance of coronary computed tomographic angiography: a report of the Society of Cardiovascular Computed Tomography Guidelines Committee J Cardiovasc Comput Tomogr 2009 3 3 190 204 19409872
- [31]Kosinski AS Barnhart HX A global sensitivity analysis of performance of a medical diagnostic test when verification bias is present Stat Med 2003 22 17 2711 21 12939781
- [32]Alonzo TA Pepe MS Assessing accuracy of a continuous screening test in the presence of verification bias Journal of the Royal Statistical Society: Series C (Applied Statistics) 2005 54 1 173 90
- [33]Hedeker D Gibbons RD A random-effects ordinal regression model for multilevel analysis Biometrics 1994 50 4 933 44 7787006
- [34]Thomas GS Voros S McPherson JA A blood-based gene expression test for obstructive coronary artery disease tested in symptomatic nondiabetic patients referred for myocardial perfusion imaging the COMPASS study Circ Cardiovasc Genet 2013 6 2 154 62 23418288
Cited by
Sorted by citations
Deep convolutional neural networks to predict cardiovascular risk from computed tomography
Zeleznik, R., Foldyna, B., Eslami, P., Weiss, J., Alexander, I., Taron, J., Parmar, C., Alvi, R. M., Banerji, D., Uno, M., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-20966-2 · Cited by 240 · see citing works
Self-citationStress Testing Versus CT Angiography in Patients With Diabetes and Suspected Coronary Artery Disease
Sharma, A., Coles, A., Sekaran, N. K., Pagidipati, N. J., Lu, M. T., Mark, D. B., Lee, K. L., Al-Khalidi, H. R., Hoffmann, U., & Douglas, P. S. (2019) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2018.11.056 · Cited by 72 · see citing works
Self-citationOutcomes of Anatomical versus Functional Testing for Coronary Artery Disease
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., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1415516 · Cited by 1,543 · see citing works
Self-citation
- Authors
- 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., Patel, M. R., Picard, M. H., Udelson, J. E., Velazquez, E. J., & Cooper, L.
- Affiliations
- Duke University (US)
- Harvard University (US)
- Tufts University (US)
- National Heart, Lung, and Blood Institute (US)
- Corresponding author
- Douglas, Pamela S.
- ORCID
- Venue
- American Heart Journal
- Publisher
- Elsevier BV
- Published
- 2014-06
- Volume
- 167
- Issue
- 6
- Pages
- 796-803.e1
- ISSN
- 0002-8703 (ISSN-L)
- PMC
- PMC4044617
- OpenAlex
- W1984973071
- Cited by
- 141
- References
- 2
- Citations by year
- 2026: 10 · 2025: 13 · 2024: 11 · 2023: 10 · 2022: 10 · 2021: 12 · 2020: 11 · 2019: 11 · 2018: 8 · 2017: 12 · 2016: 20 · 2015: 10 · 2014: 2 · 2012: 1
- FWCI
- 11.48
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- American Heart Journal (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
- Funders
- National Institutes of Health (5t32hl069749-20, UL1TR000439)
- National Heart, Lung, and Blood Institute (T32-HL069749, R01HL098237, K24HL113128, R01HL098235, R01HL098305, R01HL098236)
- National Center for Advancing Translational Sciences
- 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 › Acute Myocardial Infarction Research
- Keywords
- PROMISE trial, coronary artery disease, chest pain, exercise electrocardiography, stress echocardiography, myocardial infarction, unstable angina, radiation exposure, cost-effectiveness
- MeSH terms
- Aged, Chest Pain, Coronary Artery Disease, Cost-Benefit Analysis, Electrocardiography, Exercise Test, Female, Heart, Humans, Male, Middle Aged, Quality of Life, Coronary Angiography, Health Care Costs, Echocardiography, Stress, Myocardial Perfusion Imaging, Multidetector Computed Tomography
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review