The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Coronary atherosclerotic burden in veteran male recreational athletes with low to intermediate cardiovascular risk
Overview
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
Verification
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 the citing paper
“They reported that over one-fourth (25.7%) of the participants were identified with a high (i.e. CAC scores ≥ 75th percentile) atherosclerotic burden (multivessel disease, including the left main coronary artery and left anterior descending artery).”
From The Use of Medications and Dietary Supplements by Masters Athletes—A Review (2022) · cites this paper as [41]
In the citing paper
“Approximately 6% of the participants were identified with obstructive lesions.”
From The Use of Medications and Dietary Supplements by Masters Athletes—A Review (2022) · cites this paper as [41]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Thompson, P. D., Buchner, D., Piña, I. L., Balady, G. J., Williams, M. A., Marcus, B. H., Berra, K., Blair, S. N., Costa, F., Franklin, B., et al. (2003) · Circulation · doi:10.1161/01.cir.0000075572.40158.77 · Cited by 2,132
Arem, H., Moore, S. C., Patel, A., Hartge, P., Berrington de Gonzalez, A., Visvanathan, K., Campbell, P. T., Freedman, M., Weiderpass, E., Adami, H. O., et al. (2015) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2015.0533 · Cited by 1,498
Dose of Jogging and Long-Term Mortality
Schnohr, P., O’Keefe, J. H., Marott, J. L., Lange, P., & Jensen, G. B. (2015) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2014.11.023 · Cited by 416
Merghani, A., Maestrini, V., Rosmini, S., Cox, A. T., Dhutia, H., Bastiaenan, R., David, S., Yeo, T. J., Narain, R., Malhotra, A., et al. (2017) · Circulation · doi:10.1161/circulationaha.116.026964 · Cited by 398
Self-citationRelationship between lifelong exercise volume and coronary atherosclerosis in athletes.
Aengevaeren, V. L., Mosterd, A., Braber, T. L., Prakken, N. H. J., Doevendans, P. A., Grobbee, D. E., Thompson, P. D., Eijsvogels, T. M. H., & Velthuis, B. K. (2017) · Circulation · doi:10.1161/circulationaha.117.027834 · Cited by 312 · cited 1×
“Overall CAC score 0 [0; 13] CAC score in athletes with coronary calcium 34 [2-81]”
Background
Research works printed but not linked: 24
- Piepoli, 2016, Eur Heart J, 37, 2315, 10.1093/eurheartj/ehw106 · DOI · Paper page
- Mohlenkamp, 2008, Running: the risk of coronary events - prevalence and prognostic relevance of coronary atherosclerosis in marathon runners, Eur Heart J, 29, 1903, 10.1093/eurheartj/ehn163 · DOI · Paper page
- Tsiflikas, 2015, Prevalence of subclinical coronary artery disease in middle-aged male marathon runners detected by cardiac CT, Rofo, 187, 561, 10.1055/s-0034-1399221 · DOI
- Braber, 2016, Occult coronary artery disease in middle-aged sportsmen with a low cardiovascular risk score: the Measuring Athlete's Risk of Cardiovascular Events (MARC) study, Eur J Prev Cardiol, 23, 1677, 10.1177/2047487316651825 · DOI
- Pletcher, 2013, Interpretation of the coronary artery calcium score in combination with conventional cardiovascular risk factors: the Multi-Ethnic Study of Atherosclerosis (MESA), Circulation, 128, 1076, 10.1161/CIRCULATIONAHA.113.002598 · DOI
- Yusuf, 2004, Effect of potentially modifiable risk factors associated with myocardial infarction in 52 countries in a case-control study based on the INTERHEART study, Lancet, 364, 937, 10.1016/S0140-6736(04)17018-9 · DOI · Paper page
- Greenland, 2007, J Am Coll Cardiol, 49, 378, 10.1016/j.jacc.2006.10.001 · DOI · Paper page
- Budoff, 2008, Expert review on coronary calcium, Vasc Health Risk Manag, 4, 315, 10.2147/VHRM.S1160 · DOI
- Budoff, 2007, Long-term prognosis associated with coronary calcification observations from a registry of 25,253 patients, J Am Coll Cardiol, 49, 1860, 10.1016/j.jacc.2006.10.079 · DOI · Paper page
- Fernández-Friera, 2015, Prevalence, vascular distribution, and multiterritorial extent of subclinical atherosclerosis in a middle-aged cohort: the PESA (Progression of Early Subclinical Atherosclerosis) study, Circulation, 131, 2104, 10.1161/CIRCULATIONAHA.114.014310 · DOI · Paper page
- Yeboah, 2012, Comparison of novel risk markers for improvement in cardiovascular risk assessment in intermediate-risk individuals, JAMA, 308, 788, 10.1001/jama.2012.9624 · DOI · Paper page
- Conroy, 2003, Estimation of ten-year risk of fatal cardiovascular disease in Europe: the SCORE project, Eur Heart J, 24, 987, 10.1016/S0195-668X(03)00114-3 · DOI · Paper page
- Ainsworth, 2011, 2011 Compendium of Physical Activities: a second update of codes and MET values, Med Sci Sports Exerc, 43, 1575, 10.1249/MSS.0b013e31821ece12 · DOI · Paper page
- Levine, 2015, J Am Coll Cardiol, 66, 2350, 10.1016/j.jacc.2015.09.033 · DOI
- Hoff, 2001, Age and gender distributions of coronary artery calcium detected by electron beam tomography in 35,246 adults, Am J Cardiol, 87, 1335, 10.1016/S0002-9149(01)01548-X · DOI · Paper page
- Wu, 2015, 2014 SCCT guidelines for the interpretation and reporting of coronary CT angiography: a report of the Society of Cardiovascular Computed Tomography Guidelines Committee, J Cardiovasc Comput Tomogr, 9, 10.1016/j.jcct.2015.01.003 · DOI
- Bittencourt, 2014, Prognostic value of nonobstructive and obstructive coronary artery disease detected by coronary computed tomography angiography to identify cardiovascular events, Circ Cardiovasc Imaging, 7, 282, 10.1161/CIRCIMAGING.113.001047 · DOI · Paper page
- De Araújo Gonçalves, 2013, Coronary computed tomography angiography-adapted Leaman score as a tool to noninvasively quantify total coronary atherosclerotic burden, Int J Cardiovasc Imaging, 29, 1575, 10.1007/s10554-013-0232-8 · DOI
- Mushtaq, 2015, Long-term prognostic effect of coronary atherosclerotic burden: validation of the computed tomography-Leaman score, Circ Cardiovasc Imaging, 8, e002332, 10.1161/CIRCIMAGING.114.002332 · DOI
- O’Keefe, 2012, Run for your life... at a comfortable speed and not too far, Heart, 99, 516, 10.1136/heartjnl-2012-302886 · DOI
- Merghani, 2015, The U-shaped relationship between exercise and cardiac morbidity, Trends Cardiovasc Med, 1
- Lee, 2012, Running and all-cause mortality risk - is more better?, Med Sci Sports Exerc, 44, S699
- Feldman, 2015, No evidence of an upper threshold for mortality benefit at high levels of cardiorespiratory fitness, J Am Coll Cardiol, 65, 629, 10.1016/j.jacc.2014.11.030 · DOI
- Hadamitzky, 2013, Optimized prognostic score for coronary computed tomographic angiography: results from the CONFIRM registry (COronary CT angiography evaluation for clinical outcomes: an international multicenter registry), J Am Coll Cardiol, 62, 468, 10.1016/j.jacc.2013.04.064 · DOI · Paper page
Cited by
The Use of Medications and Dietary Supplements by Masters Athletes—A Review
Harnett, J., Climstein, M., Walsh, J., & Gifford, J. (2022) · Current Nutrition Reports · doi:10.1007/s13668-022-00398-0 · Cited by 12
Metadata
- Authors
- Dores, H., Gonçalves, P. D. A., Monge, J., Costa, R., Tátá, L., Cardim, N., Neuparth, N., & Sharma, S.
- Venue
- Revista Portuguesa de Cardiologia
- Publisher
- Elsevier BV
- Published
- 2020-10
- Volume
- 39
- Issue
- 10
- Pages
- 587-594
- ISSN
- 0870-2551
- Cited by
- 15
- References
- 5
- Language
- en
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- creativecommons.org/licenses/by-nc-nd/4.0/ (vor)
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Coronary atherosclerotic burden in veteran male recreational athletes with low to intermediate cardiovascular risk. https://app.cochat.ai/papers/10.1016/j.repc.2019.10.009
- The paper
- Dores, H., Gonçalves, P. D. A., Monge, J., Costa, R., Tátá, L., Cardim, N., Neuparth, N., & Sharma, S. (2020). Coronary atherosclerotic burden in veteran male recreational athletes with low to intermediate cardiovascular risk. Revista Portuguesa de Cardiologia. https://doi.org/10.1016/j.repc.2019.10.009
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
