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Cited by 384

The DOI matches its Crossref record; 97 of the 97 references it cites were found in a registry or an index.

Diabetes: Advances in Diagnosis and Treatment

Nathan, David M.·2015·JAMA

Abstract

IMPORTANCE: Chronic diseases have overtaken acute diseases, such as infections, as the major cause of premature mortality worldwide. Diabetes mellitus, a chronic degenerative metabolic disease, has reached epidemic proportions in the past 30 years, with worldwide prevalence approaching 400 million people. OBSERVATIONS AND ADVANCES: The epidemic is largely secondary to an increasing sedentary lifestyle and highly prevalent overweight and obesity contributing to the development of type 2 diabetes. Clinical research efforts have developed and demonstrated effective strategies for prevention, and the annual incidence of diabetes in the United States may be decreasing for the first time in 3 decades. The long-term complications of diabetes cause severe morbidity and mortality. Here too the means of reducing the burden of microvascular and cardiovascular disease have been proved. CONCLUSIONS AND RELEVANCE: Improved glycemic control and better management of other identified risk factors for the complications of diabetes and more effective treatment of cardiovascular disease and microvascular complications have resulted in a more optimistic outlook for people with diabetes. This review focuses on recent advances in diagnosis and management and the remaining challenges in the prevention and treatment of diabetes mellitus.

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Metadata

Authors
Nathan, D. M.
Venue
JAMA
Published
2015-09-08
Volume
314
Issue
10
Pages
1052
ISSN
  • 0002-9955 (ISSN-L)
  • 0098-7484
OpenAlex
W2143413851
Cited by
384
References
97
FWCI
34.93
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Diabetes: Advances in Diagnosis and Treatment. https://app.cochat.ai/papers/10.1001/jama.2015.9536
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Nathan, D. M. (2015). Diabetes: Advances in Diagnosis and Treatment. JAMA. https://doi.org/10.1001/jama.2015.9536

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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.