The DOI matches its Crossref record; 65 of the 65 references it cites were found in a registry or an index.
Ethnic Disparities in Diabetic Complications in an Insured Population
Abstract
CONTEXT: Higher rates of microvascular complications have been reported for minorities. Disparate access to quality health care is a common explanation for ethnic disparities in diabetic complication rates in the US population. Examining an ethnically diverse population with uniform health care coverage may be useful. OBJECTIVE: To assess ethnic disparities in the incidence of diabetic complications within a nonprofit prepaid health care organization. DESIGN AND SETTING: Longitudinal observational study conducted January 1, 1995, through December 31, 1998, at Kaiser Permanente Medical Care Program in northern California. PARTICIPANTS: A total of 62 432 diabetic patients, including Asians (12%), blacks (14%), Latinos (10%), and whites (64%). MAIN OUTCOME MEASURES: Incident myocardial infarction (MI), stroke, congestive heart failure (CHF), and nontraumatic lower extremity amputation (LEA), defined by primary hospitalization discharge diagnosis, procedures, or underlying cause of death; and end-stage renal disease (ESRD), defined as renal insufficiency requiring renal replacement therapy or transplantation for survival or by underlying cause of death. RESULTS: Patterns of ethnic differences were not consistent across complications and frequently persisted despite adjustment for a wide range of demographic, socioeconomic, behavioral, and clinical factors. Adjusted hazard ratios (relative to that of whites) were 0.56, 0.68, and 0.68 for blacks, Asians, and Latinos, respectively (P<.001), for MI; 0.76 and 0.72 for Asians and Latinos, respectively (P<.01), for stroke; 0.70 and 0.61 for Asians and Latinos, respectively (P<.01), for CHF; 0.40 for Asians (P<.001) for LEA; and 2.03, 1.85, and 1.46 for blacks, Asians, and Latinos, respectively (P<.01), for ESRD. There were no statistically significant black-white differences for stroke, CHF, or LEA and no Latino-white differences for LEA. CONCLUSIONS: This study confirms previous reports of elevated incidence of ESRD among ethnic minorities, despite uniform medical care coverage, and provides new evidence that rates of other complications are similar or lower relative to those of whites. The persistence of ethnic disparities after adjustment suggests a possible genetic origin, the contribution of unmeasured environmental factors, or a combination of these factors.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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?
In the citing paper
“Furthermore, racial and ethnic differences in diabetes and corresponding complications have been thoroughly discussed in the literature and are clear risk factors for IFIs [53–55].”
From Race and ethnicity: Risk factors for fungal infections? (2023) · cites this paper as [53]
Citations
Cites
(1998) · PsycEXTRA Dataset · doi:10.1037/e565682010-001 · Cited by 9,453
Unequal treatment: confronting racial and ethnic disparities in health care
(2003) · Choice Reviews Online · doi:10.5860/choice.40-5843 · Cited by 7,043
The natural history of congestive heart failure: the Framingham study
McKee, P. A., Castelli, W. P., McNamara, P. M., & Kannel, W. B. (1971) · New England Journal of Medicine · doi:10.1056/nejm197112232852601 · Cited by 3,448
Harris, M. I., Flegal, K. M., Cowie, C. C., Eberhardt, M. S., Goldstein, D. E., Little, R. R., Wiedmeyer, H.-M., & Byrd-Holt, D. D. (1998) · Diabetes Care · doi:10.2337/diacare.21.4.518 · Cited by 2,703
Socioeconomic Disparities In Health: Pathways And Policies
Adler, N. E., & Newman, K. (2002) · Health Affairs · doi:10.1377/hlthaff.21.2.60 · Cited by 2,102
Krieger, N. R. (1992) · American Journal of Public Health · doi:10.2105/ajph.82.5.703 · Cited by 1,661
Lantz, P. M., House, J. S., Lepkowski, J. M., Williams, D. R., Mero, R. P., & Chen, J. (1998) · JAMA · doi:10.1001/jama.279.21.1703 · Cited by 1,514
The effect of patient race and socio-economic status on physicians' perceptions of patients
van Ryn, M., & Burke, J. (2000) · Social Science & Medicine · doi:10.1016/s0277-9536(99)00338-x · Cited by 1,509
Inadequate Functional Health Literacy Among Patients at Two Public Hospitals
Williams, M. V. (1995) · JAMA · doi:10.1001/jama.1995.03530210031026 · Cited by 1,103
Effects of Race and Income on Mortality and Use of Services among Medicare Beneficiaries
Gornick, M. E., Eggers, P. W., Reilly, T. W., Mentnech, R., Fitterman, L. K., Kucken, L. E., & Vladeċk, B. C. (1996) · New England Journal of Medicine · doi:10.1056/nejm199609123351106 · Cited by 808
Cited by
Sorted by citations
Chronic kidney disease and the risks of death, cardiovascular events, and hospitalization
Go, A. S., Chertow, G. M., Fan, D., McCulloch, C. E., & Hsu, C.-Y. (2004) · New England Journal of Medicine · doi:10.1056/nejmoa041031 · Cited by 11,369
Economic Costs of Diabetes in the U.S. in 2002
American Diabetes Association (2003) · Diabetes Care · doi:10.2337/diacare.26.3.917 · Cited by 4,147
Diabetes in Asia: Epidemiology, Risk Factors, and Pathophysiology
Chan, J. C. N., Malik, V., Jia, W., Kadowaki, T., Yajnik, C. S., Yoon, K.-H., & Hu, F. B. (2009) · JAMA · doi:10.1001/jama.2009.726 · Cited by 1,997
Hypoglycemic episodes and risk of dementia in older patients with type 2 diabetes mellitus
Whitmer, R. A. (2009) · JAMA · doi:10.1001/jama.2009.460 · Cited by 1,128
The health status of adults on the autism spectrum
Croen, L. A., Zerbo, O., Qian, Y., Massolo, M. L., Rich, S., Sidney, S., & Kripke, C. (2015) · Autism · doi:10.1177/1362361315577517 · Cited by 1,110
Metadata
- Authors
- Karter, A. J.
- Affiliations
- Kaiser Permanente (US)
- Corresponding author
- Karter, Andrew J.
- ORCID
- Karter, Andrew J.
- Venue
- JAMA
- Publisher
- American Medical Association (AMA)
- Published
- 2002-05-15
- Volume
- 287
- Issue
- 19
- Pages
- 2519
- ISSN
- 0002-9955 (ISSN-L)
- 0098-7484
- OpenAlex
- W2062541896
- Semantic Scholar
- 45adbdb2692a3a7316ef76ffa5ae54dbc5659118
- Cited by
- 840
- References
- 65
- Citations by year
- 2026: 7 · 2025: 11 · 2024: 16 · 2023: 39 · 2022: 36 · 2021: 39 · 2020: 33 · 2019: 31 · 2018: 34 · 2017: 35 · 2016: 34 · 2015: 50 · 2014: 36 · 2013: 62 · 2012: 41
- FWCI
- 35.02
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- JAMA (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Health › Health disparities and outcomes
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Keywords
- ethnic disparities, diabetes complications, end-stage renal disease, myocardial infarction, stroke, congestive heart failure, lower limb amputation, racial and ethnic minorities, prepaid health care, Kaiser Permanente Medical Care Program, health care access, diabetes incidence, Asian Americans, Hispanic Americans, African Americans, white, insured population, Northern California
- MeSH terms
- Amputation, Surgical, Diabetes Mellitus, Diabetic Angiopathies, Diabetic Nephropathies, Diabetic Neuropathies, Ethnicity, Female, Health Maintenance Organizations, Heart Failure, Humans, Kidney Failure, Chronic, Longitudinal Studies, Male, Middle Aged, Myocardial Infarction, Socioeconomic Factors, United States, Incidence, Multivariate Analysis, Stroke, Diabetes Complications
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