The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.
Explaining the cardiovascular risk associated with rheumatoid arthritis: traditional risk factors versus markers of rheumatoid arthritis severity
Open accessAbstract
Background Cardiovascular (CV) disease has a major impact on patients with rheumatoid arthritis (RA), however, the relative contributions of traditional CV risk factors and markers of RA severity are unclear. The authors examined the relative importance of traditional CV risk factors and RA markers in predicting CV events. Methods A prospective longitudinal cohort study was conducted in the setting of the CORRONA registry in the USA. Baseline data from subjects with RA enrolled in the CORRONA registry were examined to determine predictors of CV outcomes, including myocardial infarction, stroke or transient ischemic attack. Possible predictors were of two types: traditional CV risk factors and markers of RA severity. The discriminatory value of these variables was assessed by calculating the area under the receiver operating characteristic curve (c-statistic) in logistic regression. The authors then assessed the incidence rate for CV events among subjects with an increasing number of traditional CV risk factors and/or RA severity markers. Results The cohort consisted of 10 156 patients with RA followed for a median of 22 months. The authors observed 76 primary CV events during follow-up for a composite event rate of 3.98 (95% CI 3.08 to 4.88) per 1000 patient-years. The c-statistic improved from 0.57 for models with only CV risk factors to 0.67 for models with CV risk factors plus age and gender. The c-statistic improved further to 0.71 when markers of RA severity were also added. The incidence rate for CV events was 0 (95% CI 0 to 5.98) for persons without any CV risk factors or markers of RA severity, while in the group with two or more CV risk factors and three or more markers of RA severity the incidence was 7.47 (95% CI 4.21 to 10.73) per 1000 person-years. Conclusions Traditional CV risk factors and markers of RA severity both contribute to models predicting CV events. Increasing numbers of both types of factors are associated with greater 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.
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
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
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
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. (2009) · Obstetrical & Gynecological Survey · doi:10.1097/01.ogx.0000344393.60303.0a · Cited by 3,641
Altman, R., Carreras, L., Díaz, R. S., Figueroa, E. B., Paolasso, E., Parodi, J. C., Cade, J. F., Donnan, G. A., Eadie, M. J., Gavaghan, T. P., et al. (1994) · Cited by 3,322
Antiplatelet Trialists' Collaboration (1994) · BMJ · doi:10.1136/bmj.308.6921.81 · Cited by 3,126
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 2,112
Tunstall-Pedoe, H., Kuulasmaa, K., Mähönen, M., Tolonen, H., & Ruokokoski, E. (1999) · The Lancet · doi:10.1016/s0140-6736(99)04021-0 · Cited by 1,444
Prevalence, Awareness, Treatment, and Control of Hypertension Among United States Adults 1999–2004
Ong, K. L., Cheung, B. M. Y., Man, Y. B., Lau, C. P., & Lam, K. S. L. (2007) · Hypertension · doi:10.1161/01.hyp.0000252676.46043.18 · Cited by 1,395 · cited 1×
“Third, detailed data on actual blood pressure and lipid measurements were not collected and thus it is possible that hypertension and hyperlipidemia were under-reported. Literature estimates of hypertension and hyperlipidemia in similar cohorts argues against under-reporting.”
Background
Cited by
Agca, R., Heslinga, S. C., Rollefstad, S., Heslinga, M., McInnes, I. B., Peters, M. J. L., Kvien, T. K., Dougados, M., Radner, H., Atzeni, F., et al. (2017) · Annals of the Rheumatic Diseases · doi:10.1136/annrheumdis-2016-209775 · Cited by 1,380
Dougados, M., Soubrier, M., Antunez, A., Balint, P., Balsa, A., Buch, M. H., Casado, G., Detert, J., El-zorkany, B., Emery, P., et al. (2014) · Annals of the Rheumatic Diseases · doi:10.1136/annrheumdis-2013-204223 · Cited by 855
National Lipid Association Recommendations for Patient-Centered Management of Dyslipidemia: Part 2
Jacobson, T. A., Maki, K. C., Orringer, C. E., Jones, P. H., Kris-Etherton, P., Sikand, G., La Forge, R., Daniels, S. R., Wilson, D. P., Morris, P. B., et al. (2015) · Journal of Clinical Lipidology · doi:10.1016/j.jacl.2015.09.002 · Cited by 784
JBS3 Board (2014) · Heart · doi:10.1136/heartjnl-2014-305693 · Cited by 608
Stoffer, M. A., Schoels, M. M., Smolen, J. S., Aletaha, D., Breedveld, F. C., Burmester, G., Bykerk, V., Dougados, M., Emery, P., Haraoui, B., et al. (2016) · Annals of the Rheumatic Diseases · doi:10.1136/annrheumdis-2015-207526 · Cited by 451
Metadata
- Authors
- Solomon, D. H., Kremer, J., Curtis, J. R., Hochberg, M. C., Reed, G., Tsao, P., Farkouh, M. E., Setoguchi, S., & Greenberg, J. D.
- Venue
- Annals of the Rheumatic Diseases
- Publisher
- Elsevier BV
- Published
- 2010-11
- Volume
- 69
- Issue
- 11
- Pages
- 1920-1925
- ISSN
- 0003-4967 (ISSN-L)
- OpenAlex
- W1990795149
- Cited by
- 297
- References
- 42
- FWCI
- 14.05
- Type
- journal article
- Language
- en
- Open access
- green
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: Explaining the cardiovascular risk associated with rheumatoid arthritis: traditional risk factors versus markers of rheumatoid arthritis severity. https://app.cochat.ai/papers/10.1136/ard.2009.122226
- The paper
- Solomon, D. H., Kremer, J., Curtis, J. R., Hochberg, M. C., Reed, G., Tsao, P., Farkouh, M. E., Setoguchi, S., & Greenberg, J. D. (2010). Explaining the cardiovascular risk associated with rheumatoid arthritis: traditional risk factors versus markers of rheumatoid arthritis severity. Annals of the Rheumatic Diseases. https://doi.org/10.1136/ard.2009.122226
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.