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Nontraditional Risk Factors in Cardiovascular Disease Risk Assessment: Updated Evidence Report and Systematic Review for the US Preventive Services Task Force
Open accessAbstract
Importance: Incorporating nontraditional risk factors may improve the performance of traditional multivariable risk assessment for cardiovascular disease (CVD). Objective: To systematically review evidence for the US Preventive Services Task Force on the benefits and harms of 3 nontraditional risk factors in cardiovascular risk assessment: the ankle-brachial index (ABI), high-sensitivity C-reactive protein (hsCRP) level, and coronary artery calcium (CAC) score. Data Sources: MEDLINE, PubMed, and the Cochrane Central Register of Controlled Trials for studies published through May 22, 2017. Surveillance continued through February 7, 2018. Study Selection: Studies of asymptomatic adults with no known cardiovascular disease. Data Extraction and Synthesis: Independent critical appraisal and data abstraction by 2 reviewers. Main Outcomes and Measures: Cardiovascular events, mortality, risk assessment performance measures (calibration, discrimination, or risk reclassification), and serious adverse events. Results: Forty-three studies (N = 267 244) were included. No adequately powered trials have evaluated the clinical effect of risk assessment with nontraditional risk factors on patient health outcomes. The addition of the ABI (10 studies), hsCRP level (25 studies), or CAC score (19 studies) can improve both discrimination and reclassification; the magnitude and consistency of improvement varies by nontraditional risk factor. For the ABI, improvements in performance were the greatest for women, in whom traditional risk assessment has poor discrimination (C statistic change of 0.112 and net reclassification index [NRI] of 0.096). Results were inconsistent for hsCRP level, with the largest analysis (n = 166 596) showing a minimal effect on risk prediction (C statistic change of 0.0039, NRI of 0.0152). The largest improvements in discrimination (C statistic change ranging from 0.018 to 0.144) and reclassification (NRI ranging from 0.084 to 0.35) were seen for CAC score, although CAC score may inappropriately reclassify individuals not having cardiovascular events into higher-risk categories, as determined by negative nonevent NRI. Evidence for the harms of nontraditional risk factor assessment was limited to computed tomography imaging for CAC scoring (8 studies) and showed that radiation exposure is low but may result in additional testing. Conclusions and Relevance: There are insufficient adequately powered clinical trials evaluating the incremental effect of the ABI, hsCRP level, or CAC score in risk assessment and initiation of preventive therapy. Furthermore, the clinical meaning of improvements in measures of calibration, discrimination, and reclassification risk prediction studies is uncertain.
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“A recent meta-analysis from the US Preventive Services Task Force summarized the available evidence on the value of non-traditional risk factors for risk prediction, and found that, although there are no randomized trials showing that the use of CAC reduces health outcomes, nevertheless it improves both discrimination and reclassification [19].”
From 2019 ESC/EAS guidelines for the management of dyslipidaemias: lipid modification to reduce cardiovascular risk (2019) · cites this paper as [19]
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(2014) · Medical Entomology and Zoology · Cited by 17,633
Heart Disease and Stroke Statistics—2017 Update: A Report From the American Heart Association
Benjamin, E. J., Blaha, M. J., Chiuve, S. E., Cushman, M., Das, S. R., Deo, R., de Ferranti, S. D., Floyd, J., Fornage, M., Gillespie, C., et al. (2017) · Circulation · doi:10.1161/cir.0000000000000485 · Cited by 12,591
Detection, evaluation, and treatment of high blood cholesterol in adults (Adult Treatment Panel III)
Grundy, S. M., Becker, D. M., Clark, L. T., Cooper, R., Denke, M. A., Howard, J. L., Hunninghake, D. B., Illingworth, D. R., Luepker, R. V., McBride, P. E., et al. (2002) · Civil War Book Review · Cited by 12,198
Prediction of coronary heart disease using risk factor categories
Wilson, P. W. F., D’Agostino, R. B., Levy, D., Belanger, A. M., Silbershatz, H., & Kannel, W. B. (1998) · Circulation · doi:10.1161/01.cir.97.18.1837 · Cited by 9,581
General Cardiovascular Risk Profile for Use in Primary Care: The Framingham Heart Study
D’Agostino, R. B., Vasan, R. S., Pencina, M. J., Wolf, P. A., Cobain, M., Massaro, J. M., & Kannel, W. B. (2008) · Circulation · doi:10.1161/circulationaha.107.699579 · Cited by 7,491
Stone, N. J., Robinson, J. G., Lichtenstein, A. H., Bairey Merz, C. N., Blum, C. B., Eckel, R. H., Goldberg, A. C., Gordon, D., Levy, D., Lloyd-Jones, D. M., et al. (2014) · Circulation · doi:10.1161/01.cir.0000437738.63853.7a · Cited by 7,081
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
Assessing the Performance of Prediction Models: A Framework for Traditional and Novel Measures
Steyerberg, E. W., Vickers, A. J., Cook, N. R., Gerds, T., Gonen, M., Obuchowski, N., Pencina, M. J., & Kattan, M. W. (2010) · Epidemiology · doi:10.1097/ede.0b013e3181c30fb2 · Cited by 5,170
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
Stone, N. J., Robinson, J. G., Lichtenstein, A. H., Bairey Merz, C. N., Blum, C. B., Eckel, R. H., Goldberg, A. C., Gordon, D., Levy, D., Lloyd-Jones, D. M., et al. (2014) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2013.11.002 · Cited by 3,845
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. J., Gotto, A. M., Kastelein, J. J. P., Köenig, W., Libby, P., Lorenzatti, A. J., MacFadyen, J. G., et al. (2009) · Obstetrical & Gynecological Survey · doi:10.1097/01.ogx.0000344393.60303.0a · Cited by 3,641
Danesh, J., Wheeler, J. G., Hirschfield, G. M., Eda, S., Eiriksdottir, G., Rumley, A., Lowe, G. D. O., Pepys, M. B., & Gudnason, V. (2004) · New England Journal of Medicine · doi:10.1056/nejmoa032804 · Cited by 2,953
Diabetes Mellitus, Fasting Glucose, and Risk of Cause-Specific Death
The Emerging Risk Factors Collaboration (2011) · New England Journal of Medicine · doi:10.1056/nejmoa1008862 · Cited by 2,726
Extensions of net reclassification improvement calculations to measure usefulness of new biomarkers
Pencina, M. J., D’Agostino, R. B., & Steyerberg, E. W. (2010) · Statistics in Medicine · doi:10.1002/sim.4085 · Cited by 2,483
Cardiovascular disease risk profiles
Anderson, K. M., Odell, P. M., Wilson, P. W. F., & Kannel, W. B. (1991) · American Heart Journal · doi:10.1016/0002-8703(91)90861-b · Cited by 2,163
Use and Misuse of the Receiver Operating Characteristic Curve in Risk Prediction
Cook, N. R. (2007) · Circulation · doi:10.1161/circulationaha.106.672402 · Cited by 2,156
Moons, K. G. M., de Groot, J. A. H., Bouwmeester, W., Vergouwe, Y., Mallett, S., Altman, D. G., Reitsma, J. B., & Collins, G. S. (2014) · PLoS Medicine · doi:10.1371/journal.pmed.1001744 · Cited by 2,018
Fowkes, F. G. R., Murray, G. D., Butcher, I., Heald, C. L., Lee, R. J., Chambless, L. E., Folsom, A. R., Hirsch, A. T., Dramaix, M., DeBacker, G., et al. (2008) · JAMA · doi:10.1001/jama.300.2.197 · Cited by 1,870
An updated coronary risk profile. A statement for health professionals.
Anderson, K. M., Wilson, P. W., Odell, P. M., & Kannel, W. B. (1991) · Circulation · doi:10.1161/01.cir.83.1.356 · Cited by 1,834
Greenland, P. (2004) · JAMA · doi:10.1001/jama.291.2.210 · Cited by 1,825
21st-Century Hazards of Smoking and Benefits of Cessation in the United States
Jha, P., Ramasundarahettige, C., Landsman, V., Rostron, B., Thun, M., Anderson, R. N., McAfee, T., & Peto, R. (2013) · New England Journal of Medicine · doi:10.1056/nejmsa1211128 · Cited by 1,767
Robustness in the Strategy of Scientific Model Building
Box, G. E. P. (1979) · Elsevier eBooks · doi:10.1016/b978-0-12-438150-6.50018-2 · Cited by 1,698
C-reactive protein, fibrinogen, and cardiovascular disease prediction
The Emerging Risk Factors Collaboration (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1107477 · Cited by 1,150
Coronary Artery Calcium Score and Risk Classification for Coronary Heart Disease Prediction
Polonsky, T. S. (2010) · JAMA · doi:10.1001/jama.2010.461 · Cited by 1,123
Yeboah, J., McClelland, R. L., Polonsky, T. S., Burke, G. L., Sibley, C. T., O’Leary, D., Carr, J. J., Goff, D. C., Greenland, P., & Herrington, D. M. (2012) · JAMA · doi:10.1001/jama.2012.9624 · Cited by 1,122
Belch, J., MacCuish, A., Campbell, I., Cobbe, S., Taylor, R., Prescott, R., Lee, R., Bancroft, J., MacEwan, S., Shepherd, J., et al. (2008) · BMJ · doi:10.1136/bmj.a1840 · Cited by 977
Prediction models for cardiovascular disease risk in the general population: systematic review
Damen, J. A. A. G., Hooft, L., Schuit, E., Debray, T. P. A., Collins, G. S., Tzoulaki, I., Lassale, C. M., Siontis, G. C. M., Chiocchia, V., Roberts, C., et al. (2016) · BMJ · doi:10.1136/bmj.i2416 · Cited by 935
Bibbins-Domingo, K. B., & on behalf of the U.S. Preventive Services Task Force* (2016) · Annals of Internal Medicine · doi:10.7326/m16-0577 · Cited by 864
Erbel, R. M., Möhlenkamp, S., Moebus, S., Schmermund, A., Lehmann, N., Stang, A., Dragano, N., Grönemeyer, D. H. W., Seibel, R. M. M., Kälsch, H., et al. (2010) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2010.06.030 · Cited by 783
Electron-Beam Tomography Coronary Artery Calcium and Cardiac Events
Kondos, G. T., Hoff, J. A., Sevrukov, A., Daviglus, M. L., Garside, D. B., Devries, S. S., Chomka, E. V., & Liu, K. (2003) · Circulation · doi:10.1161/01.cir.0000068341.61180.55 · Cited by 732
Fowkes, F. G. R. (2010) · JAMA · doi:10.1001/jama.2010.221 · Cited by 624
Statin Use for the Primary Prevention of Cardiovascular Disease in Adults
US Preventive Services Task Force, Bibbins-Domingo, K. B., Grossman, D. C., Curry, S. J., Davidson, K. W., Epling, J. W., García, F., Gillman, M. W., Kemper, A. R., Krist, A. H., et al. (2016) · JAMA · doi:10.1001/jama.2016.15450 · Cited by 590
Buckley, D., Fu, R. F., Freeman, M., Rogers, K. R., & Helfand, M. (2009) · Annals of Internal Medicine · doi:10.7326/0003-4819-151-7-200910060-00009 · Cited by 561
The effect of including C-reactive protein in cardiovascular risk prediction models for women
Cook, N. R., Buring, J. E., & Ridker, P. M. (2006) · Annals of Internal Medicine · doi:10.7326/0003-4819-145-1-200607040-00128 · Cited by 504
Nasir, K., Bittencourt, M. S., Blaha, M. J., Blankstein, R., Agatson, A. S., Rivera, J. J., Miedema, M. D., Sibley, C. T., Shaw, L. J., Blumenthal, R. S., et al. (2015) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2015.07.066 · Cited by 488
Impact of Coronary Artery Calcium Scanning on Coronary Risk Factors and Downstream Testing
Rozanski, A., Gransar, H., Shaw, L. J., Kim, J., Miranda-Peats, L., Wong, N. D., Rana, J. S., Orakzai, R. H., Hayes, S. W., Friedman, J. D., et al. (2011) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2011.01.019 · Cited by 458
Net Reclassification Indices for Evaluating Risk Prediction Instruments
Kerr, K. F., Wang, Z., Janes, H., McClelland, R. L., Psaty, B. M., & PEPE, M. S. (2013) · Epidemiology · doi:10.1097/ede.0000000000000018 · Cited by 454
C-Reactive Protein Modulates Risk Prediction Based on the Framingham Score
Köenig, W., Löwel, H., Baumert, J. J., & Meisinger, C. (2004) · Circulation · doi:10.1161/01.cir.0000120707.98922.e3 · Cited by 440
Peters, S. A. E., den Ruijter, H. M., Bots, M. L., & Moons, K. G. M. (2011) · Heart · doi:10.1136/heartjnl-2011-300747 · Cited by 416
Arad, Y., Spadaro, L. A., Roth, M., Newstein, D., & Guerci, A. D. (2005) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2005.02.089 · Cited by 414
Helfand, M., Buckley, D., Freeman, M., Fu, R. F., Rogers, K. R., Fleming, C., & Humphrey, L. L. (2009) · Annals of Internal Medicine · doi:10.7326/0003-4819-151-7-200910060-00010 · Cited by 383
Coronary Calcium Score Improves Classification of Coronary Heart Disease Risk in the Elderly
Elias‐Smale, S. E., Vliegenthart, R., Koller, M., Kavousi, M., van Rooij, F. J. A., Hunink, M. G. M., Steyerberg, E. W., Albert Hofman, D., Oudkerk, M., & Witteman, J. C. M. (2010) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2010.06.029 · Cited by 369
Evaluation of Newer Risk Markers for Coronary Heart Disease Risk Classification: A Cohort Study
Kavousi, M., Elias-Smale, S., Rutten, J. H. W., Leening, M. J. G., Vliegenthart, R., Verwoert, G. C., Krestin, G. P., Oudkerk, M., de Maat, M. P. M., Leebeek, F. W. G., et al. (2012) · Annals of Internal Medicine · doi:10.7326/0003-4819-156-6-201203200-00006 · Cited by 360
Folsom, A. R., Chambless, L. E., Ballantyne, C. M., Coresh, J., HEISS, G. M., Wu, K. K., Boerwinkle, E., Mosley, T. H., Sorlie, P. D., Diao, G., et al. (2006) · Archives of Internal Medicine · doi:10.1001/archinte.166.13.1368 · Cited by 357
Mora, S., Glynn, R. J., Hsia, J. A., MacFadyen, J. G., Genest, J. J., & Ridker, P. M. (2010) · Circulation · doi:10.1161/circulationaha.109.906479 · Cited by 328
C-Reactive Protein and Reclassification of Cardiovascular Risk in the Framingham Heart Study
Wilson, P. W. F., Pencina, M., Jacques, P., Selhub, J., D'Agostino, R., & O'Donnell, C. J. (2008) · Circulation: Cardiovascular Quality and Outcomes · doi:10.1161/circoutcomes.108.831198 · Cited by 299
Utility of Nontraditional Risk Markers in Atherosclerotic Cardiovascular Disease Risk Assessment
Yeboah, J., Young, R. L., McClelland, R. L., Delaney, J. A., Polonsky, T. S., Dawood, F. Z., Blaha, M. J., Miedema, M. D., Sibley, C. T., Carr, J. J., et al. (2016) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2015.10.058 · Cited by 270
Use of electron beam tomography data to develop models for prediction of hard coronary events
Raggi, P., Cooil, B., & Callister, T. Q. (2001) · American Heart Journal · doi:10.1067/mhj.2001.113220 · Cited by 254
Hoffmann, U., Massaro, J. M., D'Agostino, R. B., Kathiresan, S., Fox, C. S., & O'Donnell, C. J. (2016) · Journal of the American Heart Association · doi:10.1161/jaha.115.003144 · Cited by 239
Wilson, P. W. F., Nam, B., Pencina, M. J., D’Agostino, R. B., Benjamin, E. J., & O’Donnell, C. J. (2005) · Archives of Internal Medicine · doi:10.1001/archinte.165.21.2473 · Cited by 236
Shah, T., Casas, J. P., Cooper, J. A., Tzoulaki, I., Sofat, R., McCormack, V., Smeeth, L. L., Deanfield, J. E., Lowe, G. D. O., Rumley, A., et al. (2008) · International Journal of Epidemiology · doi:10.1093/ije/dyn217 · Cited by 234
Malik, S., Budoff, M. J., Katz, R., Blumenthal, R. S., Bertoni, A. G., Nasir, K., Szklo, M., Barr, R. G., & Wong, N. D. (2011) · Diabetes Care · doi:10.2337/dc11-0816 · Cited by 203
Kramer, C. K., Zinman, B., Gross, J. L., Canani, L. H. S., Rodrigues, T. D. C., de Azevedo, M. J., & Retnakaran, R. R. (2013) · BMJ · doi:10.1136/bmj.f1654 · Cited by 189
Risk scoring for the primary prevention of cardiovascular disease
Karmali, K. N., Persell, S. D., Perel, P., Lloyd‐Jones, D. M., Berendsen, M. A., & Huffman, M. D. (2017) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd006887.pub4 · Cited by 182
U.S. Preventive Services Task Force* (2009) · Annals of Internal Medicine · doi:10.7326/0003-4819-151-7-200910060-00008 · Cited by 180
O’Malley, P. G., Feuerstein, I. M., & Taylor, A. J. (2003) · JAMA · doi:10.1001/jama.289.17.2215 · Cited by 178
Möhlenkamp, S., Lehmann, N., Moebus, S., Schmermund, A., Dragano, N., Stang, A., Siegrist, J., Mann, K., Jöckel, K., & Erbel, R. M. (2011) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2010.10.043 · Cited by 171
Kavousi, M., Desai, C. S., Ayers, C., Blumenthal, R. S., Budoff, M. J., Mahabadi, A.-A., Ikram, M. A., van der Lugt, A., Hofman, A., Erbel, R., et al. (2016) · JAMA · doi:10.1001/jama.2016.17020 · Cited by 141
Lyngbæk, S., Marott, J. L., Sehestedt, T. B., Hansen, T. W., Olsen, M. H., Andersen, O., Linneberg, A. R., Haugaard, S. B., Eugen‐Olsen, J., Hansen, P. R., et al. (2012) · International Journal of Cardiology · doi:10.1016/j.ijcard.2012.07.018 · Cited by 139
Lin, J. S., Olson, C. M., Johnson, E. S., & Whitlock, E. P. (2013) · Annals of Internal Medicine · doi:10.7326/0003-4819-159-5-201309030-00007 · Cited by 137
Self-citationSattar, N. A., Murray, H. M., McConnachie, A., Blauw, G. J., Bollen, E. L. E. M., Buckley, B. M., Cobbe, S. M., Ford, I., Gaw, A., Hyland, M., et al. (2007) · Circulation · doi:10.1161/circulationaha.106.643114 · Cited by 129
Wong, N. D., Gransar, H., Shaw, L. J., Polk, D. M., Moon, J. H., Miranda-Peats, R., Hayes, S. W., Thomson, L., Rozanski, A., Friedman, J. D., et al. (2009) · JACC. Cardiovascular imaging · doi:10.1016/j.jcmg.2008.12.010 · Cited by 120
Bos, D., Leening, M. J. G., Kavousi, M., Albert Hofman, D., Franco, O. H., van der Lugt, A., Vernooij, M. W., & Ikram, M. A. (2015) · Circulation Cardiovascular Imaging · doi:10.1161/circimaging.115.003843 · Cited by 115
A systematic review for the screening for peripheral arterial disease in asymptomatic patients
Alahdab, F., Wang, A. T., Elraiyah, T. A., Malgor, R. D., Rizvi, A. Z., Lane, M. A., Prokop, L. J., Montori, V. M., Conte, M. S., & Murad, M. H. (2015) · Journal of Vascular Surgery · doi:10.1016/j.jvs.2014.12.008 · Cited by 113
Markers of Atherosclerosis and Inflammation for Prediction of Coronary Heart Disease in Older Adults
Rodondi, N., Marques-Vidal, P. M., Butler, J., Sutton-Tyrrell, K., Cornuz, J., Satterfield, S., Harris, T. B., Bauer, D. C., Ferrucci, L., Vittinghoff, E., et al. (2010) · American Journal of Epidemiology · doi:10.1093/aje/kwp428 · Cited by 104
Moyer, V. A. (2013) · Annals of Internal Medicine · doi:10.7326/0003-4819-159-5-201309030-00008 · Cited by 103
What can be expected from risk scores for predicting postoperative nausea and vomiting?
Apfel, C. C., Kranke, P., Greim, C. A., & Roewer, N. (2001) · British Journal of Anaesthesia · doi:10.1093/bja/86.6.822 · Cited by 89
Price, J. F., Tzoulaki, I., Lee, A. J., & Fowkes, F. G. R. (2007) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2007.01.011 · Cited by 74
Fowkes, F. G. R., Murray, G. D., Butcher, I., Folsom, A., Hirsch, A. T., Couper, D. J., DeBacker, G., Kornitzer, M., Newman, A. B., Sutton-Tyrrell, K., et al. (2013) · European Journal of Preventive Cardiology · doi:10.1177/2047487313516564 · Cited by 73
Geisel, M. H., Bauer, M., Hennig, F., Hoffmann, B. H., Lehmann, N., Möhlenkamp, S., Kröger, K., Kara, K., Müller, T., Moebus, S., et al. (2017) · European Heart Journal · doi:10.1093/eurheartj/ehx120 · Cited by 73
Coronary calcium scans and radiation exposure in the multi-ethnic study of atherosclerosis
Messenger, B. S., Li, D., Nasir, K., Carr, J. J., Blankstein, R., & Budoff, M. J. (2015) · International journal of cardiac imaging · doi:10.1007/s10554-015-0799-3 · Cited by 71
Murphy, T. P., Dhangana, R., Pencina, M. J., & D’Agostino, R. B. (2011) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2011.10.037 · Cited by 70
Yeboah, J., Erbel, R. M., Delaney, J. A., Nance, R. M., Guo, M., Bertoni, A. G., Budoff, M. J., Moebus, S., Jöckel, K., Burke, G. L., et al. (2014) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2014.07.035 · Cited by 70
Polak, J. F., Szklo, M., & O’Leary, D. H. (2017) · Journal of the American Heart Association · doi:10.1161/jaha.116.004612 · Cited by 70
Chang, S. M., Nabi, F., Xu, J., Pratt, C. M., Mahmarian, A. C., Frias, M. E., & Mahmarian, J. J. (2015) · JACC. Cardiovascular imaging · doi:10.1016/j.jcmg.2014.11.008 · Cited by 67
Wannamethee, S. G., Welsh, P. I., Lowe, G. D. O., Gudnason, V. G., Angelantonio, E. D., LENNON, L. T., Rumley, A., Whincup, P. H., & Sattar, N. A. (2011) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2011.02.041 · Cited by 67
Rana, J. S., Gransar, H., Wong, N. D., Shaw, L. J., Pencina, M. J., Nasir, K., Rozanski, A., Hayes, S. W., Thomson, L., Friedman, J. D., et al. (2012) · The American Journal of Cardiology · doi:10.1016/j.amjcard.2012.01.358 · Cited by 60
Rana, J. S., Cote, M., Després, J., Sandhu, M. S., Talmud, P. J., Ninio, E., Wareham, N. J., Kastelein, J. J. P., Zwinderman, A. H., Khaw, K., et al. (2009) · Heart · doi:10.1136/hrt.2009.170134 · Cited by 58
Added value of CAC in risk stratification for cardiovascular events: a systematic review
Peters, S. A. E., Bakker, M., den Ruijter, H. M., & Bots, M. L. (2011) · European Journal of Clinical Investigation · doi:10.1111/j.1365-2362.2011.02555.x · Cited by 58
Welsh, P. I., Doolin, O., Willeit, P., Packard, C. J., Macfarlane, P. W., Cobbe, S. M., Gudnason, V. G., Angelantonio, E. D., Ford, I., & Sattar, N. A. (2012) · European Heart Journal · doi:10.1093/eurheartj/ehs239 · Cited by 51
Adipocytokines, C-Reactive Protein, and Cardiovascular Disease: A Population-Based Prospective Study
Seven, E., Husemoen, L. L. N., Sehested, T. S. G., Ibsen, H., Wachtell, K., Linneberg, A. R., & Jeppesen, J. (2015) · PLoS ONE · doi:10.1371/journal.pone.0128987 · Cited by 50
Velescu, A., Clarà, A. B. I., Peñafiel, J., Ramos, R., Martí‐Lluch, R., Grau, M., Degano, I. R., Marrugat, J., & Elosúa, R. (2015) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2015.05.017 · Cited by 39
C-Reactive Protein and Cardiovascular Disease in East Asians: A Systematic Review
Saito, I., Maruyama, K., & Eguchi, E. (2014) · Clinical Medicine Insights Cardiology · doi:10.4137/cmc.s17066 · Cited by 39
Schneider, H. J., Wallaschofski, H., Völzke, H., Markus, M. R. P., Dörr, M., Felix, S. B., Nauck, M. A., & Friedrich, N. (2012) · PLoS ONE · doi:10.1371/journal.pone.0033084 · Cited by 30
The Case For and Against a Coronary Artery Calcium Trial
McEvoy, J. W., Martin, S. S., Blaha, M. J., Polonsky, T. S., Nasir, K., Kaul, S., Greenland, P., & Blumenthal, R. S. (2016) · JACC. Cardiovascular imaging · doi:10.1016/j.jcmg.2016.03.012 · Cited by 30
Salim, A., Tai, E. S., Tan, V. Y., Welsh, A. H., Liew, R., Naidoo, N., Wu, Y., Yuan, J., Koh, W., & van Dam, R. M. (2016) · European Journal of Preventive Cardiology · doi:10.1177/2047487315626547 · Cited by 23
Schnell‐Inderst, P., Schwarzer, R., Göhler, A., Grandi, N. C., Grabein, K., Stollenwerk, B., Manne‐Goehler, J., Klauß, V., Siebert, U., & Wasem, J. (2010) · International Journal of Technology Assessment in Health Care · doi:10.1017/s0266462309990870 · Cited by 21
Nielsen, A. D., Videbech, P., Gerke, O., Petersen, H., Jensen, J. M., Sand, N. P. R., Egstrup, K., Larsen, M. L., Mickley, H., & Diederichsen, A. C. P. (2012) · Journal of Thoracic Imaging · doi:10.1097/rti.0b013e31824752bd · Cited by 19
Fudim, M., ZALAWADIYA, S. K., Patel, D. K., Egolum, U. O., & Afonso, L. (2016) · Data in Brief · doi:10.1016/j.dib.2016.01.002 · Cited by 15
Combining risk markers improves cardiovascular risk prediction in women
Holewijn, S., den Heijer, M., Kiemeney, L. A. L. M., Stalenhoef, A. F. H., & Graaf, J. D. (2013) · Clinical Science · doi:10.1042/cs20130178 · Cited by 15
Hamer, M., Chida, Y., & Stamatakis, E. A. (2009) · The American Journal of Cardiology · doi:10.1016/j.amjcard.2009.04.020 · Cited by 15
Shreibati, J. B., Baker, L. C., McConnell, M. V., & Hlatky, M. A. (2014) · Circulation Cardiovascular Imaging · doi:10.1161/circimaging.113.001869 · Cited by 14
Does CAC testing alter downstream treatment patterns for cardiovascular disease?
Chia-hsuan, W., Sylwestrzak, G., Barron, J. O., Kasravi, B., Power, T. P., & Redberg, R. F. (2014) · PubMed · Cited by 8
Subgroup specific incremental value of new markers for risk prediction
Zhou, Q. M., Zheng, Y., & Cai, T. (2012) · Lifetime Data Analysis · doi:10.1007/s10985-012-9235-3 · Cited by 4
Research works printed but not linked: 1
- US Preventive Services Task Force, 2015, US Preventive Services Task Force Procedure Manual
Cited by
Sorted by citations
Mach, F., Baigent, C., Catapano, A. L., Koskinas, K. C., Casula, M., Badimon, L., Chapman, M. J., De Backer, G. G., Delgado, V., Ference, B. A., et al. (2020) · European Heart Journal · doi:10.1093/eurheartj/ehz455 · Cited by 8,961
2021 ESC Guidelines on cardiovascular disease prevention in clinical practice
Visseren, F. L. J., Mach, F., Smulders, Y. M., Carballo, D., Koskinas, K. C., Bäck, M., Benetos, A., Biffi, A., Boavida, J.-M., Capodanno, D., et al. (2021) · European Heart Journal · doi:10.1093/eurheartj/ehab484 · Cited by 6,485
Mach, F., Baigent, C., Catapano, A. L., Koskinas, K. C., Casula, M., Badimon, L., Chapman, M. J., De Backer, G. G., Delgado, V., Ference, B. A., et al. (2019) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2019.08.014 · Cited by 4,854
2024 ESC Guidelines for the management of peripheral arterial and aortic diseases
Mazzolai, L., Teixidó‐Turà, G., Lanzi, S., Boc, V., Bossone, E., Brodmann, M., Bura-Rivière, A., Backer, J. F. A. D., Déglise, S., Corte, A. D., et al. (2024) · European Heart Journal · doi:10.1093/eurheartj/ehae179 · Cited by 1,313
2025 Focused Update of the 2019 ESC/EAS Guidelines for the management of dyslipidaemias
Mach, F., Koskinas, K. C., Roeters van Lennep, J. E., Tokgözoğlu, L., Badimon, L., Baigent, C., Benn, M., Binder, C. J., Catapano, A. L., De Backer, G. G., et al. (2025) · European Heart Journal · doi:10.1093/eurheartj/ehaf190 · Cited by 688
Metadata
- Authors
- Lin, J. S., Evans, C. V., Johnson, E., Redmond, N., Coppola, E. L., & Smith, N.
- Affiliations
- Kaiser Permanente (US)
- Corresponding author
- Lin, Jennifer S.
- Venue
- JAMA
- Publisher
- American Medical Association (AMA)
- Published
- 2018-07-17
- Volume
- 320
- Issue
- 3
- Pages
- 281
- ISSN
- 0002-9955 (ISSN-L)
- 0098-7484
- PMC
- PMC13564044
- OpenAlex
- W2852998865
- Cited by
- 216
- References
- 100
- Citations by year
- 2026: 19 · 2025: 28 · 2024: 24 · 2023: 30 · 2022: 27 · 2021: 38 · 2020: 30 · 2019: 14 · 2018: 6
- FWCI
- 3.99
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- public-domain
- Locations
- JAMA (publishedVersion, public-domain)
- PubMed (publishedVersion)
- PubMed Central (submittedVersion, public-domain)
- Funders
- U.S. Department of Health and Human Services
- Agency for Healthcare Research and Quality (HHSA 290-2015-00007-I)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Health Promotion and Cardiovascular Prevention
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Cardiac Imaging and Diagnostics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Lipoproteins and Cardiovascular Health
- Keywords
- cardiovascular disease risk assessment, non-traditional risk factors, ankle-brachial index, high-sensitivity C-reactive protein, coronary artery calcium score, risk reclassification, risk discrimination, cardiovascular events, cardiovascular mortality, radiation exposure, women, asymptomatic adults, USPSTF recommendations, cardiovascular risk prediction models, computed tomography, net reclassification improvement
- MeSH terms
- Adult, C-Reactive Protein, Cardiovascular Diseases, Clinical Trials as Topic, Coronary Artery Disease, Humans, Risk Factors, Biomarkers, Risk Assessment, Ankle Brachial Index, Vascular Calcification
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