The DOI matches its Crossref record; 110 of the 110 references it cites were found in a registry or an index.
2. Classification and Diagnosis of Diabetes: Standards of Medical Care in Diabetes—2018
Abstract
The American Diabetes Association (ADA) “Standards of Medical Care in Diabetes” includes ADA’s current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA’s clinical practice recommendations, please refer to the Standards of Care Introduction. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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“Current evidence demonstrates their usefulness in reducing macroangiopathy in patients with type 2 diabetes 5 , 6 , 7 , 8 .”
From Japanese clinical practice guideline for diabetes 2019 (2020) · cites this paper as [5]
In the citing paper
“Glycemic control has been shown to be useful for suppressing the onset/progression of diabetic retinopathy in patients with type 1 and type 2 diabetes 5 , 6 , 7 , 8 (grade A: 100% agreement).”
From Japanese clinical practice guideline for diabetes 2019 (2020) · cites this paper as [5]
In the citing paper
“Foot care education is thought to promote the acquisition of relevant knowledge and improve self‐care activities and is thus thought likely to be effective for achieving the prevention of diabetic foot 4 , 5 (grade B by consensus: 80% agreement).”
From Japanese clinical practice guideline for diabetes 2019 (2020) · cites this paper as [5]
In the citing paper
“As periodontal disease becomes more severe, it becomes more difficult to achieve glycemic control in affected patients 5 .”
From Japanese clinical practice guideline for diabetes 2019 (2020) · cites this paper as [5]
In the citing paper
“MNT has been shown to be effective against dyslipidemia in patients with diabetes 5 , 6 , 7 (grade A: 100% agreement).”
From Japanese clinical practice guideline for diabetes 2019 (2020) · cites this paper as [5]
In the citing paper
“A family history of obesity or type 2 diabetes provides a credible clue to help establish the diagnosis of type 2 diabetes in pediatric/adolescent patients 5 .”
From Japanese clinical practice guideline for diabetes 2019 (2020) · cites this paper as [5]
In the citing paper
“Body mass index (BMI) cut‐off for onset of type 2 diabetes is shown to be lower in Asians than in Westerners 5 , 6 .”
From Japanese clinical practice guideline for diabetes 2019 (2020) · cites this paper as [5]
Citations
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Metadata
- Authors
- American Diabetes Association
- Corresponding author
- American Diabetes Association
- Venue
- Diabetes Care
- Publisher
- American Diabetes Association
- Published
- 2017-11-24
- Volume
- 41
- Issue
- Supplement_1
- Pages
- S13-S27
- ISSN
- 0149-5992 (ISSN-L)
- 1935-5548
- OpenAlex
- W4254965081
- Cited by
- 3,159
- References
- 110
- Citations by year
- 2026: 103 · 2025: 237 · 2024: 321 · 2023: 309 · 2022: 344 · 2021: 422 · 2020: 551 · 2019: 581 · 2018: 286 · 2017: 1
- FWCI
- 56.61
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Diabetes Care (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Treatment and Management
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
- Keywords
- diabetes classification, diabetes diagnosis, diabetes diagnosis criteria, diabetes subtypes, clinical guidelines, quality of care
- MeSH terms
- Diabetes Mellitus, Humans, Reagent Kits, Diagnostic, Risk Factors, Standard of Care
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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.
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