The DOI matches its Crossref record; 57 of the 57 references it cites were found in a registry or an index.
Risk Factors for Myocardial Infarction Case Fatality and Stroke Case Fatality in Type 2 Diabetes
Abstract
OBJECTIVE—Patients with diabetes have a higher case fatality rate in myocardial infarction (MI) or stroke than those without diabetes: that is, MI and stroke are more often fatal if diabetes is present. We investigated whether the risk of MI or stroke being fatal in type 2 diabetes can be estimated using information available around the time diabetes is diagnosed. RESEARCH DESIGN AND METHODS—Analyses were based on 674 cases of MI (351 fatal) that occurred in 597 of 5,102 U.K. Prospective Diabetes Study (UKPDS) patients for whom covariate data were available during a median follow-up of 7 years. Multivariate logistic regression was used to examine differences in risk factors, measured within 2 years of diagnosis of diabetes, between fatal and nonfatal MI. Similar analyses were performed for 234 strokes (48 fatal) that occurred in 199 patients. RESULTS—Patients with fatal MI had higher HbA1c than those with nonfatal MI (odds ratio 1.17 per 1% HbA1c, P = 0.014). Patients with fatal stroke had higher HbA1c than those with nonfatal stroke (odds ratio 1.37 per 1% HbA1c, P = 0.007). Other risk factors for MI case fatality included increased age, blood pressure, and urine albumin level. CONCLUSIONS—The risk of MI or stroke being fatal in type 2 diabetes is associated with risk factors, including HbA1c, measured many years before onset of MI or stroke. Equations have been added to the UKPDS Risk Engine to estimate likely case fatality rates in MI and stroke.
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
Bootstrap Methods and their Application
Davison, A. C., & Hinkley, D. V. (1997) · doi:10.1017/cbo9780511802843 · Cited by 7,350
Bootstrap Methods and Their Application
Loughin, T. M., Davison, A. C., & Hinkley, D. V. (1999) · Journal of the American Statistical Association · doi:10.2307/2669707 · Cited by 5,418
Hyperglycemia: an independent marker of in-hospital mortality in patients with undiagnosed diabetes
Umpierrez, G. E., Isaacs, S. D., Bazargan, N., You, X., Thaler, L. M., & Kitabchi, A. E. (2002) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jcem.87.3.8341 · Cited by 2,195
Capes, S. E., Hunt, D., Malmberg, K., & Gerstein, H. C. (2000) · The Lancet · doi:10.1016/s0140-6736(99)08415-9 · Cited by 2,187 · cited 1×
“Whereas glycemia following a MI is a known risk factor for death, most studies have concluded that hyperglycemia at the time MI occurs either contributes to the severity of the event or is induced by the event (11,12,43,44).”
BackgroundCardiovascular 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
Goodness of fit tests for the multiple logistic regression model
Hosmer, D. W., & Lemesbow, S. (1980) · Communications in Statistics - Theory and Methods · doi:10.1080/03610928008827941 · Cited by 1,871
Lerner, D. J., & Kannel, W. B. (1986) · American Heart Journal · doi:10.1016/0002-8703(86)90155-9 · Cited by 1,725
Morbidity and mortality in diabetics in the Framingham population. Sixteen year follow-up study
Garcia, M. J., McNamara, P. M., Gordon, T., & Kannell, W. B. (1974) · Diabetes · doi:10.2337/diab.23.2.105 · Cited by 1,608
Malmberg, K., Rydén, L., Efendic, S., Herlitz, J., Nicol, P., Waldenstrom, A., Wedel, H., & Welin, L. (1995) · Journal of the American College of Cardiology · doi:10.1016/0735-1097(95)00126-k · Cited by 1,560
Cited by
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
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
Francis, G. L., Waguespack, S. G., Bauer, A. J., Angelos, P., Benvenga, S., Cerutti, J. M., Dinauer, C. A., Hamilton, J., Hay, I. D., Luster, M., et al. (2015) · Thyroid · doi:10.1089/thy.2014.0460 · Cited by 1,238
Ferdinandy, P., Schulz, R., & Baxter, G. F. (2007) · Pharmacological Reviews · doi:10.1124/pr.107.06002 · Cited by 744
Huynh, K., Bernardo, B. C., McMullen, J. R., & Ritchie, R. H. (2014) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2014.01.003 · Cited by 553
Metadata
- Authors
- Stevens, R. J., Coleman, R. L., Adler, A. I., Stratton, I. M., Matthews, D. R., & Holman, R. R.
- Venue
- Diabetes Care
- Publisher
- American Diabetes Association
- Published
- 2004-01-01
- Volume
- 27
- Issue
- 1
- Pages
- 201-207
- ISSN
- 0149-5992 (ISSN-L)
- 1935-5548
- OpenAlex
- W2111119980
- Cited by
- 295
- References
- 57
- FWCI
- 11.26
- 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: Risk Factors for Myocardial Infarction Case Fatality and Stroke Case Fatality in Type 2 Diabetes. https://app.cochat.ai/papers/10.2337/diacare.27.1.201
- The paper
- Stevens, R. J., Coleman, R. L., Adler, A. I., Stratton, I. M., Matthews, D. R., & Holman, R. R. (2004). Risk Factors for Myocardial Infarction Case Fatality and Stroke Case Fatality in Type 2 Diabetes. Diabetes Care. https://doi.org/10.2337/diacare.27.1.201
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.