The DOI matches its Crossref record; 66 of the 66 references it cites were found in a registry or an index.
A Test in Context
Open accessAbstract
The inflammatory biomarker high-sensitivity C-reactive protein (hsCRP) adds prognostic information on cardiovascular risk comparable to blood pressure or cholesterol. Values <1, 1 to 3, and >3 mg/l indicate lower, average, or higher relative cardiovascular risk, respectively. Global risk algorithms that include hsCRP outperform those solely using Framingham covariates. Although diet, exercise, and smoking cessation are first steps for patients with a proinflammatory response, JUPITER (Justification for the Use of Statins in Prevention: an Intervention Trial Evaluating Rosuvastatin) trial data demonstrate that statins reduce by 47% the rate of first myocardial infarction, stroke, or confirmed cardiovascular death when given to patients with low-density lipoprotein-C levels of <130 mg/dl and hsCRP of >2 mg/l (hazard ratio: 0.53; 95% confidence interval: 0.40 to 0.69; p < 0.00001). In current U.S. guidelines, hsCRP carries a class IIb assessment and is most appropriate in primary prevention when clinical decisions to initiate statin therapy are uncertain. Ongoing multinational trials are pursuing whether reducing inflammation will decrease vascular event rates.
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 cited source says what the claim attributes to it.
In the citing paper
“These hsCRP categories are also used to predict CV outcomes [8].”
From Impact of semaglutide on high-sensitivity C-reactive protein: exploratory patient-level analyses of SUSTAIN and PIONEER randomized clinical trials (2022) · cites this paper as [8]
In the citing paper
“the inflammatory biomarker high-sensitivity C-reactive protein (CRP) is a predictor of cardiovascular events in men and women40.”
From Chronic inflammation in the etiology of disease across the life span (2019) · cites this paper as [40]
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
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
Self-citationRidker, P. M., Hennekens, C. H., Buring, J. E., & Rifai, N. (2000) · New England Journal of Medicine · doi:10.1056/nejm200003233421202 · Cited by 5,850
Self-citationInflammation, aspirin, and the risk of cardiovascular disease in apparently healthy men
Ridker, P. M., Cushman, M., Stampfer, M. J., Tracy, R. P., & Hennekens, C. H. (1997) · New England Journal of Medicine · doi:10.1056/nejm199704033361401 · Cited by 5,504
Self-citationEzetimibe Added to Statin Therapy after Acute Coronary Syndromes
Cannon, C. P., Blazing, M. A., Giugliano, R. P., McCagg, A., White, J. A., Theroux, P., Darius, H., Lewis, B. S., Ophuis, T. O., Jukema, J. W., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1410489 · Cited by 4,487
C-Reactive Protein, Interleukin 6, and Risk of Developing Type 2 Diabetes Mellitus
Pradhan, A. D. (2001) · JAMA · doi:10.1001/jama.286.3.327 · Cited by 4,433
NLRP3 inflammasomes are required for atherogenesis and activated by cholesterol crystals
Duewell, P., Kono, H., Rayner, K. J., Sirois, C. M., Vladimer, G., Bauernfeind, F. G., Abela, G. S., Franchi, L., Nuñez, G., Schnurr, M., et al. (2010) · Nature · doi:10.1038/nature08938 · Cited by 4,026
Progress and challenges in translating the biology of atherosclerosis
Libby, P., Ridker, P. M., & Hansson, G. K. (2011) · Nature · doi:10.1038/nature10146 · Cited by 4,010
Self-citationType 2 diabetes as an inflammatory disease
Donath, M. Y., & Shoelson, S. E. (2011) · Nature Reviews Immunology · doi:10.1038/nri2925 · Cited by 3,737
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
Self-citationRidker, P. M., Rifai, N., Rose, L., Buring, J. E., & Cook, N. R. (2002) · New England Journal of Medicine · doi:10.1056/nejmoa021993 · Cited by 3,604
Self-citation
Cited by
Sorted by citations
Chronic inflammation in the etiology of disease across the life span
Furman, D., Campisi, J., Verdin, E., Carrera-Bastos, P., Targ, S., Franceschi, C., Ferrucci, L., Gilroy, D. W., Fasano, A., Miller, G. W., et al. (2019) · Nature Medicine · doi:10.1038/s41591-019-0675-0 · Cited by 4,915
Libby, P., Buring, J. E., Badimon, L., Hansson, G. K., Deanfield, J., Bittencourt, M. S., Tokgözoğlu, L., & Lewis, E. F. (2019) · Nature Reviews Disease Primers · doi:10.1038/s41572-019-0106-z · Cited by 3,211
The changing landscape of atherosclerosis
Libby, P. (2021) · Nature · doi:10.1038/s41586-021-03392-8 · Cited by 2,873
Ridker, P. M. (2016) · Circulation Research · doi:10.1161/circresaha.115.306656 · Cited by 1,002
Self-citationThe Role of Inflammation in Cardiovascular Disease
Henein, M. Y., Vancheri, S., Longo, G., & Vancheri, F. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms232112906 · Cited by 802
Interleukin-6 Signaling and Anti-Interleukin-6 Therapeutics in Cardiovascular Disease
Ridker, P. M., & Rane, M. A. (2021) · Circulation Research · doi:10.1161/circresaha.121.319077 · Cited by 743
Self-citationInterleukin-1 Beta as a Target for Atherosclerosis Therapy
Libby, P. (2017) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2017.09.028 · Cited by 651
Inflammation, Immunity, and Infection in Atherothrombosis
Libby, P., Loscalzo, J., Ridker, P. M., Farkouh, M. E., Hsue, P. Y., Fuster, V., Hasan, A. A., & Amar, S. (2018) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2018.08.1043 · Cited by 548
Self-citationTargeting cardiovascular inflammation: next steps in clinical translation
Lawler, P. R., Bhatt, D. L., Godoy, L. C., Lüscher, T. F., Bonow, R. O., Verma, S., & Ridker, P. M. (2020) · European Heart Journal · doi:10.1093/eurheartj/ehaa099 · Cited by 463
Self-citationRole of inflammation in the pathogenesis of atherosclerosis and therapeutic interventions
Raggi, P., Genest, J. J., Giles, J. T., Rayner, K. J., Dwivedi, G., Beanlands, R. S., & Gupta, M. (2018) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2018.07.014 · Cited by 447
Hs-CRP and all-cause, cardiovascular, and cancer mortality risk: A meta-analysis
Li, Y., Zhong, X., Cheng, G., Zhao, C., Zhang, L., Hong, Y., Wan, Q., He, R., & Wang, Z. (2017) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2017.02.003 · Cited by 419
A wireless patch for the monitoring of C-reactive protein in sweat
Tu, J., Min, J., Song, Y., Xu, C., Li, J., Moore, J., Hanson, J., Hu, E., Parimon, T., Wang, T.-Y., et al. (2023) · Nature Biomedical Engineering · doi:10.1038/s41551-023-01059-5 · Cited by 395
Clonal haematopoiesis: connecting ageing and inflammation in cardiovascular disease
Jaiswal, S., & Libby, P. (2020) · Nature Reviews Cardiology · doi:10.1038/s41569-019-0247-5 · Cited by 386
Inflammation in Atherosclerosis—No Longer a Theory
Libby, P. (2020) · Clinical Chemistry · doi:10.1093/clinchem/hvaa275 · Cited by 333
Inflammatory and Cholesterol Risk in the FOURIER Trial
Bohula, E. A., Giugliano, R. P., Leiter, L. A., Verma, S., Park, J.-G., Sever, P. S., Lira Pineda, A., Honarpour, N., Wang, H., Murphy, S. A., et al. (2018) · Circulation · doi:10.1161/circulationaha.118.034032 · Cited by 280
Anticytokine Agents: Targeting Interleukin Signaling Pathways for the Treatment of Atherothrombosis
Ridker, P. M. (2019) · Circulation Research · doi:10.1161/circresaha.118.313129 · Cited by 260
“From a clinical perspective, assessment of low-grade systemic inflammation with hsCRP remains the gold standard.(40)”
BackgroundSelf-citationInflammation and Cardiovascular Disease: 2025 ACC Scientific Statement
Mensah, G. A., Arnold, N., Prabhu, S. D., Ridker, P. M., & Welty, F. K. (2025) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2025.08.047 · Cited by 231
Self-citationClinician’s Guide to Reducing Inflammation to Reduce Atherothrombotic Risk
Ridker, P. M. (2018) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2018.06.082 · Cited by 186
Self-citationAlbuminuria: An Underappreciated Risk Factor for Cardiovascular Disease
Barzilay, J. I., Farag, Y. M. K., & Durthaler, J. M. (2024) · Journal of the American Heart Association · doi:10.1161/jaha.123.030131 · Cited by 186
Baldini, C., Moriconi, F. R., Galimberti, S., Libby, P., & Caterina, R. D. (2021) · European Heart Journal · doi:10.1093/eurheartj/ehab447 · Cited by 180
Ridker, P. M., MacFadyen, J. G., Glynn, R. J., Bradwin, G., Hasan, A., & Rifai, N. (2020) · European Heart Journal · doi:10.1093/eurheartj/ehaa160 · Cited by 169
Self-citationLibby, P. (2021) · Cells · doi:10.3390/cells10040951 · Cited by 158
The role of smooth muscle cells in plaque stability: Therapeutic targeting potential
Harman, J. J., & Jørgensen, H. F. (2019) · British Journal of Pharmacology · doi:10.1111/bph.14779 · Cited by 147
The Molecular Basis of Predicting Atherosclerotic Cardiovascular Disease Risk
Nayor, M. G., Brown, K., & Vasan, R. S. (2021) · Circulation Research · doi:10.1161/circresaha.120.315890 · Cited by 149
Right ventricular dysfunction in critically ill COVID-19 ARDS
Bleakley, C., Singh, S., Garfield, B. E., Morosin, M., Surkova, E., Mandalia, M. S., Dias, B., Androulakis, E., Price, L., McCabe, C., et al. (2020) · International Journal of Cardiology · doi:10.1016/j.ijcard.2020.11.043 · Cited by 129
Deep learning-enabled point-of-care sensing using multiplexed paper-based sensors
Ballard, Z. S., Joung, H., Goncharov, A., Liang, J., Nugroho, K., Carlo, D. D., Garner, O. B., & Özcan, A. (2020) · npj Digital Medicine · doi:10.1038/s41746-020-0274-y · Cited by 124
Multi-cohort study identifies social determinants of systemic inflammation over the life course
Berger, É., Castagné, R., Chadeau‐Hyam, M., Bochud, M., d’Errico, A., Gandini, M., Karimi, M., Mika Kivimaki, B., Krogh, V., Marmot, M. G., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-08732-x · Cited by 121
Tuñón, J., Badimón, L., Bochaton‐Piallat, M., Cariou, B., Daemen, M. J. A. P., Egido, J., Evans, P. C., Hoefer, I. E., Ketelhuth, D. F. J., Lutgens, E., et al. (2018) · Cardiovascular Research · doi:10.1093/cvr/cvy293 · Cited by 118
Chen, J., Gu, Z.-J., Wu, M., Yang, Y., Zhang, J., Ou, J., Zuo, Z., Wang, J., & Chen, Y. (2016) · Stem Cell Research & Therapy · doi:10.1186/s13287-016-0377-1 · Cited by 111
Geovanini, G. R., Wang, R., Weng, J. F., Jenny, N. S., Shea, S. A., Allison, M., Libby, P., & Redline, S. S. (2018) · Annals of the American Thoracic Society · doi:10.1513/annalsats.201802-121oc · Cited by 100
Mosenzon, O., Capehorn, M. S., De Remigis, A., Rasmussen, S., Weimers, P., & Rosenstock, J. (2022) · Cardiovascular Diabetology · doi:10.1186/s12933-022-01585-7 · Cited by 91
Personalized Intervention Based on Early Detection of Atherosclerosis
Nielsen, R. V., Fuster, V., Bundgaard, H., Fuster, J. J., Johri, A. M., Kofoed, K. F., Douglas, P. S., Diederichsen, A. C. P., Shapiro, M. D., Nicholls, S. J., et al. (2024) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2024.02.053 · Cited by 98
Singh, T. P., Morris, D. R., Smith, S. L., Moxon, J. V., & Golledge, J. (2017) · European Journal of Vascular and Endovascular Surgery · doi:10.1016/j.ejvs.2017.05.009 · Cited by 93
Is It Possible to Predict the Future in First-Episode Psychosis?
Suvisaari, J., Mantere, O., Keinänen, J., Mäntylä, T. J. S., Rikandi, E., Lindgren, M., Kieseppä, T., & Raij, T. T. (2018) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2018.00580 · Cited by 96
Inflammatory glycoproteins in cardiometabolic disorders, autoimmune diseases and cancer
Connelly, M. A., Gruppen, E. G., Otvos, J. D., & Dullaart, R. P. F. (2016) · Clinica Chimica Acta · doi:10.1016/j.cca.2016.06.012 · Cited by 82
Thomas, P. E., Vedel‐Krogh, S., Kamstrup, P. R., & Nordestgaard, B. G. (2023) · European Heart Journal · doi:10.1093/eurheartj/ehad055 · Cited by 82
Acromegaly, inflammation and cardiovascular disease: a review
Wolters, T. L. C., Netea, M. G., Riksen, N. P., Hermus, A. R. M. M., & Netea-Maier, R. T. (2020) · Reviews in Endocrine and Metabolic Disorders · doi:10.1007/s11154-020-09560-x · Cited by 79
Hadri, K. E., Smith, R., Duplus, E., & Amri, C. E. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms23010077 · Cited by 71
Opotowsky, A. R., Valente, A. M., Alshawabkeh, L. I., Cheng, S. C., Bradley, A., Rimm, E. B., & Landzberg, M. J. (2018) · European Heart Journal · doi:10.1093/eurheartj/ehy362 · Cited by 67
The effect of green Mediterranean diet on cardiometabolic risk; a randomised controlled trial
Tsaban, G., Meir, A. Y., Rinott, E., Zelicha, H., Kaplan, A., Shaleṿ, A., Katz, A., Rudich, A., Tirosh, A., Shelef, I., et al. (2020) · Heart · doi:10.1136/heartjnl-2020-317802 · Cited by 73
Lan, Y., Chen, G., Wu, D., Ding, X., Huang, Z., Wang, X., Balmer, L. A., Li, X., Song, M., Wang, W., et al. (2023) · BMC Medicine · doi:10.1186/s12916-023-02729-6 · Cited by 63
Khambhati, J., Engels, M., Allard‐Ratick, M., Sandesara, P. B., Quyyumi, A. A., & Sperling, L. S. (2018) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2018.07.007 · Cited by 65
Cauci, S., Xodo, S., Buligan, C., Colannino, C., Barbina, M., Barbina, G., & Francescato, M. P. (2021) · Molecules · doi:10.3390/molecules26041070 · Cited by 61
Inflammation in Coronary Atherosclerosis and Its Therapeutic Implications
Montarello, N. J., Nguyen, M. T., Wong, D. T. L., Nicholls, S. J., & Psaltis, P. J. (2020) · Cardiovascular Drugs and Therapy · doi:10.1007/s10557-020-07106-6 · Cited by 66
Health Benefits of Anti-aging Drugs
Piskovatska, V., Strilbytska, O. M., Koliada, A. K., Vaiserman, A. M., & Lushchak, O. V. (2019) · Sub-cellular biochemistry/Subcellular biochemistry · doi:10.1007/978-981-13-3681-2_13 · Cited by 62
Identification of Adipsin as a Novel Prognostic Biomarker in Patients With Coronary Artery Disease
Ohtsuki, T., Satoh, K., Shimizu, T., Ikeda, S., Kikuchi, N., Satoh, T., Kurosawa, R., Nogi, M., Sunamura, S., Yaoita, N., et al. (2019) · Journal of the American Heart Association · doi:10.1161/jaha.119.013716 · Cited by 59
Targeting Inflammation After Acute Myocardial Infarction
Imbesi, A., Greco, A., Spagnolo, M., Laudani, C., Raffo, C., Finocchiaro, S., Mazzone, P. M., Landolina, D., Mauro, M. S., Cutore, L., et al. (2025) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2025.07.064 · Cited by 74
Daub, S., Lutgens, E., Münzel, T. F., & Daiber, A. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21228533 · Cited by 56
Norde, M. M., Collese, T. S., Giovannucci, E. L., & Rogero, M. M. (2020) · Nutrition Reviews · doi:10.1093/nutrit/nuaa010 · Cited by 54
Martemucci, G., Khalil, M., Luca, A. D., Abdallah, H., & D‘Alessandro, A. G. (2024) · Metabolites · doi:10.3390/metabo14060327 · Cited by 60
C-reactive protein and cold-pressor tolerance in the general population: the Tromsø Study
Schistad, E. I., Stubhaug, A., Furberg, A., Engdahl, B., & Nielsen, C. S. (2017) · Pain · doi:10.1097/j.pain.0000000000000912 · Cited by 53
Gallus, S., Lugo, A., Suatoni, P., Taverna, F., Bertocchi, E., Boffi, R., Marchianò, A. V., Morelli, D., & Pastorino, U. (2018) · Scientific Reports · doi:10.1038/s41598-018-29867-9 · Cited by 54
Ni, P., Yu, M., Zhang, R., Cheng, C., He, M., Wang, H., Chen, S., & Duan, G. (2020) · Annals of Epidemiology · doi:10.1016/j.annepidem.2020.07.005 · Cited by 51
Kalra, D. K., Vijayaraghavan, K., Sikand, G., Desai, N. R., Joshi, P. H., Mehta, A., Karmally, W., Vani, A. K., Sitafalwalla, S. J., Puri, R., et al. (2021) · Journal of clinical lipidology · doi:10.1016/j.jacl.2021.03.007 · Cited by 50
Boyd, S. B., Chigurupati, R., Cillo, J. E., Eskes, G. A., Goodday, R. H. B., Meisami, T., Viozzi, C. F., Waite, P. D., & Wilson, J. (2018) · Journal of Oral and Maxillofacial Surgery · doi:10.1016/j.joms.2018.06.173 · Cited by 51
Yuan, Y. L., Long, P., Liu, K., Xiao, Y., He, S., Li, J., Mo, T., Liu, Y., Yu, Y., Wang, H., et al. (2019) · Redox Biology · doi:10.1016/j.redox.2019.101404 · Cited by 48
Xu, J., Zhou, H., Cheng, Y., & Xiang, G. (2022) · The EPMA Journal · doi:10.1007/s13167-022-00289-y · Cited by 45
Single-Molecule hsTnI and Short-Term Risk in Stable Patients With Chest Pain
Januzzi, J. L., Suchindran, S., Hoffmann, U., Patel, M. R., Ferencik, M., Coles, A., Tardif, J., Ginsburg, G. S., & Douglas, P. S. (2019) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2018.10.065 · Cited by 43
Liu, H., Cao, Y., Sun, D., Jin, J., Zhang, H., Guo, Y., Zhu, C., Wu, N., Gao, Y., Dong, Q., et al. (2019) · Hypertension Research · doi:10.1038/s41440-019-0293-8 · Cited by 42
Cyclodextrins as Anti-inflammatory Agents: Basis, Drugs and Perspectives
Appleton, S. L., Navarro‐Orcajada, S., Martínez-Navarro, F. J., Caldera, F., López-Nicolás, M., Trotta, F., & Matencio, A. (2021) · Biomolecules · doi:10.3390/biom11091384 · Cited by 44
Hwang, Y., Morrow, D. A., Cannon, C. P., Liu, Y., Bergenstal, R. M., Heller, S. R., Mehta, C. R., Cushman, W. C., Bakris, G. L., Zannad, F. M., et al. (2017) · Diabetes Obesity and Metabolism · doi:10.1111/dom.13136 · Cited by 42
Chan, S. W., Chu, T. T. W., Choi, S. W., Benzie, I. F. F., & Tomlinson, B. (2021) · Phytotherapy Research · doi:10.1002/ptr.7038 · Cited by 42
Glymour, M. M., Brickman, A. M., Mika Kivimaki, B., Mayeda, E. R., Chêne, G., Dufouil, C., & Manly, J. J. (2018) · European Journal of Epidemiology · doi:10.1007/s10654-018-0418-4 · Cited by 41
Association between C reactive protein and all-cause mortality in the ELSA-Brasil cohort
Maluf, C. B., Barreto, S. M., Giatti, L., Ribeiro, A. L. P., Vidigal, P. G., Azevedo, D. R. M., Griep, R. H., Matos, S. M. A., Ji, C., Cappuccio, F. P., et al. (2020) · Journal of Epidemiology & Community Health · doi:10.1136/jech-2019-213289 · Cited by 40
Effects of Bilberry Supplementation on Metabolic and Cardiovascular Disease Risk
Chan, S. W., & Tomlinson, B. (2020) · Molecules · doi:10.3390/molecules25071653 · Cited by 42
Niknezhad, N., Haghighatkhah, H., Zargari, O., Ghalamkarpour, F., Younespour, S., Niknejad, N., Alikhan, A., & Abdollahimajd, F. (2020) · Dermatologic Therapy · doi:10.1111/dth.13628 · Cited by 38
Haploinsufficiency of CYP8B1 associates with increased insulin sensitivity in humans
Zhong, S., Chèvre, R., Mayan, D. C., Corlianò, M., Cochran, B. J., Sem, K. P., van Dijk, T. H., Peng, J., Tan, L. J., Hartimath, S. V., et al. (2022) · Journal of Clinical Investigation · doi:10.1172/jci152961 · Cited by 38
The Role of C-reactive Protein in Patient Risk Stratification and Treatment
Arroyo‐Espliguero, R., Viana-Llamas, M. C., Silva, J. A., & y, P. A. (2021) · European Cardiology Review · doi:10.15420/ecr.2020.49 · Cited by 41
Li, Z., Zhong, W.-F., Lv, Y., Kraus, V. B., Gao, X., Chen, P., Huang, Q., Ni, J.-D., Shi, X.-M., Mao, C., et al. (2019) · Immunity & Ageing · doi:10.1186/s12979-019-0168-5 · Cited by 37
Sun, L., Yuan, J., Chen, Q.-C., Xiao, W.-K., Ma, G., Liang, J., Chen, X., Wang, S., Zhou, X., Wu, H. M., et al. (2022) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2022.996467 · Cited by 39
Roediger, M. D. A., Marucci, M. D. F. N., Duim, E., Santos, J. L. F., Duarte, Y. A. D. O., & de Oliveira, C. M. (2019) · Health and Quality of Life Outcomes · doi:10.1186/s12955-019-1092-2 · Cited by 36
Cortico-limbic interactions and carotid atherosclerotic burden during chronic stress exposure
Gharios, C., van Leent, M. M. T., Chang, H. L., Abohashem, S., O’Connor, D. A., Osborne, M. T., Tang, C. Y., Kaufman, A. E., Robson, P. M., Ramachandran, S., et al. (2024) · European Heart Journal · doi:10.1093/eurheartj/ehae149 · Cited by 36
Minami, Y., Kajimoto, K., Sato, N., Hagiwara, N., Takano, T., & on behalf of the ATTEND Study Investigators (2016) · European Heart Journal - Quality of Care and Clinical Outcomes · doi:10.1093/ehjqcco/qcw054 · Cited by 35
Lan, Y., Wu, D., Cai, Z., Xu, Y., Ding, X., Wu, W., Lan, S., Chen, L., Guo, Z., Balmer, L. A., et al. (2023) · Cardiovascular Diabetology · doi:10.1186/s12933-023-01878-5 · Cited by 34
Cicero, A. F. G., Morbini, M., Parini, A., Urso, R., Rosticci, M., Grandi, E., & Borghi, C. (2016) · Therapeutics and Clinical Risk Management · doi:10.2147/tcrm.s91817 · Cited by 33
Role of Periodontal Infection, Inflammation and Immunity in Atherosclerosis
Choi, H., Dey, A. K., Priyamvara, A., Aksentijevich, M., Bandyopadhyay, D., Dey, D. K., Dani, S. S., Guha, A., Nambiar, P. H., Nasir, K., et al. (2020) · Current Problems in Cardiology · doi:10.1016/j.cpcardiol.2020.100638 · Cited by 36
Combining CRP and CA19-9 in a novel prognostic score in pancreatic ductal adenocarcinoma
Nurmi, A. M., Mustonen, H. K., Stenman, U., Seppänen, H. E., & Haglund, C. H. (2021) · Scientific Reports · doi:10.1038/s41598-020-80778-0 · Cited by 33
Neutrophil extracellular traps: a catalyst for atherosclerosis
Wang, Y., Wang, C., & Li, J. (2024) · Molecular and Cellular Biochemistry · doi:10.1007/s11010-024-04931-3 · Cited by 32
George, A. D., Burugupalli, S., Paul, S., Mansell, T., Burgner, D. P., & Meikle, P. J. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23147490 · Cited by 30
Association of Lipoprotein(a) With Major Adverse Cardiovascular Events Across hs-CRP
Alebna, P. L., Han, C. Y., Ambrosio, M., Kong, G., Cyrus, J. W. W., Harley, K., Kang, L., Small, A., Chevli, P. A., Bhatia, H. S., et al. (2024) · JACC Advances · doi:10.1016/j.jacadv.2024.101409 · Cited by 30
Wang, T., Zhang, M., Shi, W., Li, Y., Zhang, T., & Shi, W. (2025) · Cardiovascular Diabetology · doi:10.1186/s12933-025-02653-4 · Cited by 30
Muro, F. M. D., Vogel, B., Sartori, S., Bay, B., Oliva, A., Feng, Y., Krishnan, P., Sweeny, J. M., Gitto, M., Smith, K. F., et al. (2025) · European Journal of Preventive Cardiology · doi:10.1093/eurjpc/zwaf112 · Cited by 31
Chung, D., Lee, K. O., Choi, J.-W., Kim, N. K., Kim, O. J., Kim, S.-H., Oh, S., & Kim, W. C. (2020) · Frontiers in Neurology · doi:10.3389/fneur.2020.01022 · Cited by 30
Li, N., Zhou, J., Wang, Y., Chen, R., Li, J., Zhao, X., Zhou, P., Liu, C., Song, L., Liao, Z., et al. (2022) · ESC Heart Failure · doi:10.1002/ehf2.14009 · Cited by 32
de la Espriella, R., Santas, E., Reiriz, I. Z., Górriz, J. L., Marcos, M. C., & Núñez, J. E. (2021) · Nefrología · doi:10.1016/j.nefro.2021.04.006 · Cited by 31
Wu, N., Guo, Y., Zhu, C., Gao, Y., Zhao, X., Sun, D., Sun, J., Xu, R., Liu, G., Dong, Q., et al. (2018) · Lipids in Health and Disease · doi:10.1186/s12944-018-0909-z · Cited by 29
C-reactive protein promotes diabetic kidney disease via Smad3-mediated NLRP3 inflammasome activation
Wang, Y., You, Y., Guo, J., Wang, J., Shao, B., Li, H.-D., Meng, X., Lan, H.-Y., & Chen, H. (2024) · Molecular Therapy · doi:10.1016/j.ymthe.2024.11.018 · Cited by 32
Kocarnik, J., Richard, M. A., Graff, M., Haessler, J., Bien, S. A., Carlson, C., Carty, C. L., Reiner, A. P., Avery, C. L., Ballantyne, C. M., et al. (2018) · Human Molecular Genetics · doi:10.1093/hmg/ddy211 · Cited by 28
Decano, J. L., & Aikawa, M. (2018) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2018.00097 · Cited by 29
Noone, D. P., Isendoorn, M. M. E., Hamers, S. M. W. R., Keizer, M. E., Wulffelé, J., van der Velden, T. T., Dijkstra, D. J., Trouw, L. A., Filippov, D. V., & Sharp, T. H. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2404542121 · Cited by 30
Omega-3 and cardiovascular prevention – Is this still a choice?
Ruscica, M., Sirtori, C. R., Carugo, S., Calder, P. C., & Corsini, A. (2022) · Pharmacological Research · doi:10.1016/j.phrs.2022.106342 · Cited by 29
Kurt, B., Rex, K., Reugels, M., Fordyce, C. B., Fudim, M., Sharma, A., Berger, M., Marx, N., Marx-Schütt, K., & Kahles, F. (2025) · Current Heart Failure Reports · doi:10.1007/s11897-025-00710-3 · Cited by 30
Montarello, N. J., Singh, K., Sinhal, A. R., Wong, D. T. L., Alcock, R. F., Rajendran, S., Dautov, R. F., Barlis, P., Patel, S., Nidorf, S. M., et al. (2021) · Cardiovascular Drugs and Therapy · doi:10.1007/s10557-021-07240-9 · Cited by 26
Poli, A., Catapano, A. L., Corsini, A., Manzato, E., Werba, J. P., Catena, G., Cetin, I., Cicero, A. F. G., Cignarella, A., Colivicchi, F., et al. (2022) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2022.10.001 · Cited by 27
Kumrić, M., Urlić, H., Božić, J., Vilović, M., Kurir, T. T., Glavaš, D., Miric, D., Zanchi, J., Bradarić, A., Lozo, M., et al. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24098062 · Cited by 27
The association between varicocoeles and vascular disease: an analysis of U.S. claims data
Wang, N. N., Dallas, K. B., Li, S., Baker, L. C., & Eisenberg, M. L. (2017) · Andrology · doi:10.1111/andr.12437 · Cited by 27
Kumar, A., Nemeroff, C. B., Cooper, J. J., Widge, A. S., Rodríguez, C. I., Carpenter, L. L., & McDonald, W. M. (2021) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2021.19080873 · Cited by 25
Dyslipidemia in Transplant Patients: Which Therapy?
Iannuzzo, G., Cuomo, G., Lorenzo, A. D., Tripaldella, M., Mallardo, V., Idelson, P. I., Sagnelli, C., Sica, A., Creta, M., Baltar, J., et al. (2022) · Journal of Clinical Medicine · doi:10.3390/jcm11144080 · Cited by 31
Wu, D., Lan, Y., Xu, Y., Xu, S., Huang, Y., Balmer, L. A., Mahara, G., Xu, W., Wang, W., & Wu, S. (2022) · Cardiovascular Diabetology · doi:10.1186/s12933-022-01701-7 · Cited by 26
Psoriasis and Cardiovascular Risk—Do Promising New Biomarkers Have Clinical Impact?
Kaur, S., Kingo, K., & Zilmer, M. (2017) · Mediators of Inflammation · doi:10.1155/2017/7279818 · Cited by 25
Metadata
- Authors
- Ridker, P. M.
- Affiliations
- Brigham and Women's Hospital (US)
- Corresponding author
- Ridker, Paul M
- ORCID
- Ridker, Paul M
- Venue
- Journal of the American College of Cardiology
- Publisher
- Elsevier BV
- Published
- 2016-02
- Volume
- 67
- Issue
- 6
- Pages
- 712-723
- ISSN
- 0735-1097 (ISSN-L)
- OpenAlex
- W2264523161
- Cited by
- 414
- References
- 64
- Citations by year
- 2026: 54 · 2025: 51 · 2024: 45 · 2023: 47 · 2022: 35 · 2021: 35 · 2020: 48 · 2019: 34 · 2018: 30 · 2017: 19 · 2016: 16
- FWCI
- 6.54
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Journal of the American College of Cardiology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Pfizer
- AstraZeneca
- American College of Cardiology Foundation
- National Heart, Lung, and Blood Institute (U01HL101422)
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Lipoproteins and Cardiovascular Health
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Acute Myocardial Infarction Research
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Health Promotion and Cardiovascular Prevention
- Keywords
- high-sensitivity C-reactive protein, inflammation, cardiovascular risk, cardiovascular risk prediction, statins, rosuvastatin, JUPITER trial, primary prevention, Framingham risk factors, LDL cholesterol, myocardial infarction, stroke, cardiovascular mortality
- MeSH terms
- C-Reactive Protein, Cardiovascular Diseases, Humans, Predictive Value of Tests, Global Health, Reproducibility of Results, Biomarkers, Incidence, Survival Rate, 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
