The DOI matches its Crossref record; 88 of the 88 references it cites were found in a registry or an index.
Endothelial dysfunction and coronary artery disease: assessment, prognosis, and treatment
Open accessAbstract
Progress in the modification of conventional coronary risk factors and lifestyle behavior has reduced the incidence of atherosclerotic coronary artery disease; nonetheless, it continues to be the leading cause of mortality in the world. This might be attributed to the defective risk stratifying and prevention strategy for coronary artery disease. In the current clinical setting, atherosclerotic coronary artery disease risk is estimated on the basis of identifying and quantifying only traditional risk factors; it does not take into consideration nontraditional risk factors. In addition, most of the prevailing therapies for atherosclerosis are targeted toward traditional risk factors rather than atherosclerosis itself. It is desirable to develop a method that can directly assess the activity of atherogenesis at every moment. Endothelial function is an integrated index of all atherogenic and atheroprotective factors present in an individual including nontraditional factors and heretofore unknown factors, and it is reported to have additional predictive value for future cardiovascular events to traditional risk factors. Moreover, endothelial function has a pivotal role in all phases of atherosclerosis, from initiation to atherothrombotic complication, and is reversible at every phase, indicating that endothelial function-guided therapies might be effective and feasible in cardiovascular practice. Thus, the introduction of endothelial function testing into clinical practice might enable us to innovate individualized cardiovascular medicine. In this review, we summarize the current knowledge on the contribution of endothelial dysfunction to atherogenesis and review the methods that assess endothelial function. Finally, we focus on the effects of major antiatherosclerotic disease therapies on endothelial function and argue the possibility of noninvasive assessment of endothelial function aiming at individualized cardiovascular medicine.
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?
The check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“Minority stress theory (Hatzenbuehler, 2009; Meyer, 2003) offers a useful conceptual lens for adapting interventions for sexual minority men.”
From Mindfulness for Reducing Minority Stress and Promoting Health Among Sexual Minority Men: Uncovering Intervention Principles and Techniques (2022) · cites this paper as Meyer, 2003
Experimental — accuracy not yet measured
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
Atherosclerosis--an inflammatory disease
Ross, R. (1999) · New England Journal of Medicine · doi:10.1056/nejm199901143400207 · Cited by 21,725
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
Marin, J. M., Carrizo, S. J., Vicente, E., & Agusti, A. G. (2005) · The Lancet · doi:10.1016/s0140-6736(05)71141-7 · Cited by 4,678
Effects of torcetrapib in patients at high risk for coronary events
Barter, P. J., Caulfield, M., Eriksson, M., Grundy, S. M., Kastelein, J. J. P., Komajda, M., Lopez-Sendon, J., Mosca, L., Tardif, J.-C., Waters, D. D., et al. (2007) · New England Journal of Medicine · doi:10.1056/nejmoa0706628 · Cited by 3,139
Schächinger, V., Britten, M. B., & Zeiher, A. M. (2000) · Circulation · doi:10.1161/01.cir.101.16.1899 · Cited by 2,589
Paradoxical Vasoconstriction Induced by Acetylcholine in Atherosclerotic Coronary Arteries
Ludmer, P. L., Selwyn, A. P., Shook, T., Wayne, R. R., Mudge, G. H., Alexander, R. W., & Ganz, P. (1986) · New England Journal of Medicine · doi:10.1056/nejm198610233151702 · Cited by 2,422
Chiu, J.-J., & Chien, S. (2011) · Physiological Reviews · doi:10.1152/physrev.00047.2009 · Cited by 2,280
Bonetti, P. O., Lerman, L. O., & Lerman, A. (2003) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/01.atv.0000051384.43104.fc · Cited by 2,234
Self-citationClose Relation of Endothelial Function in the Human Coronary and Peripheral Circulations
Anderson, T. J., Uehata, A., Gerhard, M. D., Meredith, I. T., Knab, S., Delagrange, D., Lieberman, E. H., Ganz, P., Creager, M. A., Yeung, A. C., et al. (1995) · Journal of the American College of Cardiology · doi:10.1016/0735-1097(95)00327-4 · Cited by 2,033
Heitzer, T., Schlinzig, T., Krohn, K., Meinertz, T., & Münzel, T. (2001) · Circulation · doi:10.1161/hc4601.099485 · Cited by 1,961
Cited by
Sorted by citations
The preclinical phase of the pathological process underlying sporadic Alzheimer’s disease
Braak, H., & Del Tredici, K. (2015) · Brain · doi:10.1093/brain/awv236 · Cited by 540
Insulin Resistance and Atherosclerosis: Implications for Insulin-Sensitizing Agents
Di Pino, A., & DeFronzo, R. A. (2019) · Endocrine Reviews · doi:10.1210/er.2018-00141 · Cited by 535
Endothelial Dysfunction: Clinical Implications in Cardiovascular Disease and Therapeutic Approaches
Park, K., & Park, W. J. (2015) · Journal of Korean Medical Science · doi:10.3346/jkms.2015.30.9.1213 · Cited by 345
Sulfide regulation of cardiovascular function in health and disease
Kolluru, G. K., Shackelford, R. E., Shen, X., Dominic, P. S., & Kevil, C. G. (2022) · Nature Reviews Cardiology · doi:10.1038/s41569-022-00741-6 · Cited by 231
Perivascular adipose tissue (PVAT) in atherosclerosis: a double-edged sword
Qi, X.-Y., Qu, S.-L., Xiong, W., Rom, O., Chang, L., & Jiang, Z. (2018) · Cardiovascular Diabetology · doi:10.1186/s12933-018-0777-x · Cited by 239
Metadata
- Authors
- Matsuzawa, Y., & Lerman, A.
- Affiliations
- Mayo Clinic (US)
- Corresponding author
- Lerman, Amir
- Venue
- Coronary Artery Disease
- Published
- 2014-12
- Volume
- 25
- Issue
- 8
- Pages
- 713-724
- ISSN
- 0954-6928 (ISSN-L)
- PMC
- PMC4220301
- OpenAlex
- W2081776702
- Cited by
- 249
- References
- 88
- Citations by year
- 2026: 10 · 2025: 23 · 2024: 18 · 2023: 24 · 2022: 25 · 2021: 29 · 2020: 39 · 2019: 24 · 2018: 22 · 2017: 11 · 2016: 10 · 2015: 13
- FWCI
- 1.83
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Coronary Artery Disease (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute on Aging (AG31750, R01AG031750)
- National Heart, Lung, and Blood Institute (HL92954, R01HL092954)
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Health and Disease Prevention
- Health Sciences › Medicine › Physiology (medical) › Nitric Oxide and Endothelin Effects
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Cardiac Imaging and Diagnostics
- Keywords
- endothelial dysfunction, endothelial function testing, atherosclerosis, atherogenesis, non-traditional risk factors, cardiovascular risk stratification, antiatherosclerotic therapy, atherothrombosis, cardiovascular risk prediction
- MeSH terms
- Animals, Coronary Artery Disease, Diagnostic Techniques, Cardiovascular, Endothelium, Vascular, Humans, Predictive Value of Tests, Prognosis, Risk Factors, Risk Assessment
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
