The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
Is There a Simple Way to Identify Insulin-Resistant Individuals at Increased Risk of Cardiovascular Disease?
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
Grundy, S. M., Bilheimer, D. W., Chait, A., Clark, L. T., Denke, M. A., Havel, R. J., Hazzard, W. R., Hulley, S. B., Hunninghake, D. B., Kreisberg, R. A., et al. (1993) · JAMA · doi:10.1001/jama.269.23.3015 · Cited by 27,947
Expert Panel on Detection, E. (2001) · JAMA: The Journal of the American Medical Association · doi:10.1001/jama.285.19.2486 · Cited by 26,011
Role of Insulin Resistance in Human Disease
Reaven, G. M. (1988) · Diabetes · doi:10.2337/diab.37.12.1595 · Cited by 12,154
Self-citationImmunoassay of insulin with insulin-antibody precipitate
HALES, C., & RANDLE, P. (1963) · Biochemical Journal · doi:10.1042/bj0880137 · Cited by 2,638
PLASMA-HIGH-DENSITY-LIPOPROTEIN CONCENTRATION AND DEVELOPMENT OF ISCHÆMIC HEART-DISEASE
Miller, G. J., & Miller, N. E. (1975) · The Lancet · doi:10.1016/s0140-6736(75)92376-4 · Cited by 2,621
Low-Density Lipoprotein Subclass Patterns and Risk of Myocardial Infarction
Austin, M. A. (1988) · JAMA: The Journal of the American Medical Association · doi:10.1001/jama.1988.03410130125037 · Cited by 1,780
Hokanson, J. E., & Austin, M. A. (1996) · Journal of Cardiovascular Risk · doi:10.1097/00043798-199604000-00014 · Cited by 1,706
Incidence of Coronary Heart Disease and Lipoprotein Cholesterol Levels: The Framingham Study
Castelli, W. P. (1986) · JAMA · doi:10.1001/jama.1986.03380200073024 · Cited by 1,611
Dobiás̆ová, M., & Frohlich, J. (2001) · Clinical Biochemistry · doi:10.1016/s0009-9120(01)00263-6 · Cited by 1,438
Epidemiology: Study Design and Data Analysis
(2006) · Technometrics · doi:10.1198/tech.2006.s407 · Cited by 788
Cited by
Triglycerides and Cardiovascular Disease: A Scientific Statement From the American Heart Association
Miller, M., Stone, N. J., Ballantyne, C., Bittner, V., Criqui, M. H., Ginsberg, H. N., Goldberg, A. C., Howard, W. J., Jacobson, M. S., Kris-Etherton, P. M., et al. (2011) · Circulation · doi:10.1161/cir.0b013e3182160726 · Cited by 1,871
Correll, C. U. (2009) · JAMA · doi:10.1001/jama.2009.1549 · Cited by 1,050
Feinman, R. D., Pogozelski, W. K., Astrup, A., Bernstein, R. K., Fine, E. J., Westman, E. C., Accurso, A., Frassetto, L., Gower, B. A., McFarlane, S. I., et al. (2015) · Nutrition · doi:10.1016/j.nut.2014.06.011 · Cited by 912
Correll, C. U., Robinson, D. G., Schooler, N. R., Brunette, M. F., Mueser, K. T., Rosenheck, R. A., Marcy, P., Addington, J., Estroff, S. E., Robinson, J., et al. (2014) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2014.1314 · Cited by 384
DeFronzo, R. A., & Abdul-Ghani, M. (2011) · The American Journal of Cardiology · doi:10.1016/j.amjcard.2011.03.013 · Cited by 317
Metadata
- Authors
- McLaughlin, T., Reaven, G., Abbasi, F., Lamendola, C., Saad, M., Waters, D., Simon, J., & Krauss, R. M.
- Venue
- The American Journal of Cardiology
- Publisher
- Elsevier BV
- Published
- 2005-08
- Volume
- 96
- Issue
- 3
- Pages
- 399-404
- ISSN
- 0002-9149 (ISSN-L)
- OpenAlex
- W2120867943
- Cited by
- 658
- References
- 30
- FWCI
- 12.95
- Type
- journal article
- Language
- en
- Open access
- closed
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: Is There a Simple Way to Identify Insulin-Resistant Individuals at Increased Risk of Cardiovascular Disease? https://app.cochat.ai/papers/10.1016/j.amjcard.2005.03.085
- The paper
- McLaughlin, T., Reaven, G., Abbasi, F., Lamendola, C., Saad, M., Waters, D., Simon, J., & Krauss, R. M. (2005). Is There a Simple Way to Identify Insulin-Resistant Individuals at Increased Risk of Cardiovascular Disease? The American Journal of Cardiology. https://doi.org/10.1016/j.amjcard.2005.03.085
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.
