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2. Classification and Diagnosis of Diabetes: Standards of Medical Care in Diabetes—2022
Open accessAbstract
The American Diabetes Association (ADA) “Standards of Medical Care in Diabetes” includes the 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 (https://doi.org/10.2337/dc22-SPPC), 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 (https://doi.org/10.2337/dc22-SINT). Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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“Glycemic management is primarily assessed with the HbA1c test, which was the measure used in trials demonstrating the bene fi ts of glucose lowering (2,52).”
From Management of Hyperglycemia in Type 2 Diabetes, 2022. A Consensus Report by the American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD) (2022) · cites this paper as [52]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Autoantibody markers are usually present in 85% to 90% of individuals with type 1 diabetes when fasting hyperglycemia is initially detected (2).”
From Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus (2023) · cites this paper as [2]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Chronic diseases, such as T2DM, develop over a long period [102].”
From Digital Health Interventions to Prevent Type 2 Diabetes Mellitus: Systematic Review (2025) · cites this paper as [102]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Overall, 10 of 42 (24%) patients had a 2-hour plasma glucose level ≥140 mg/dL on the oral glucose tolerance test indicative of impaired glucose tolerance according to the World Health Organization (WHO) and the American Diabetes Association.1”
From Pain and small fiber pathology in men with fibromyalgia syndrome (2024) · cites this paper as [1]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“As with any laboratory test, HbA1c measurement has limitations (2,52).”
The cited source says what the claim attributes to it.
In the citing paper
“An HbA 1c value of 6.5% (48 mmol/mol) or greater is considered diagnostic.”
From Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus (2023) · cites this paper as [2]
The cited source says what the claim attributes to it.
In the citing paper
“Depending on the specific MODY mutation, the disease can be mild (e.g., glucokinase mutation) and not usually associated with long term complications of diabetes or as severe as typical type 1 diabetes (e.g., hepatocyte nuclear factor [HNF] mutations) (2).”
From Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus (2023) · cites this paper as [2]
The cited source says what the claim attributes to it.
In the citing paper
“responsive to sulfonylureas”
From Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus (2023) · cites this paper as [2]
The cited source says what the claim attributes to it.
In the citing paper
“genitourinary”
From Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus (2023) · cites this paper as [2]
The cited source says what the claim attributes to it.
In the citing paper
“developmental delay and seizures”
From Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus (2023) · cites this paper as [2]
The cited source says what the claim attributes to it.
In the citing paper
“responsive to sulfonylureas”
From Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus (2023) · cites this paper as [2]
The cited source says what the claim attributes to it.
In the citing paper
“Permanent or transient: IUGR”
From Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus (2023) · cites this paper as [2]
The cited source says what the claim attributes to it.
In the citing paper
“gout”
From Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus (2023) · cites this paper as [2]
The cited source says what the claim attributes to it.
In the citing paper
“IUGR”
From Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus (2023) · cites this paper as [2]
The cited source says what the claim attributes to it.
In the citing paper
“HNF1B | AD”
From Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus (2023) · cites this paper as [2]
The cited source says what the claim attributes to it.
In the citing paper
“Permanent or transient: IUGR”
From Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus (2023) · cites this paper as [2]
The cited source says what the claim attributes to it.
In the citing paper
“HNF1B-MODY”
From Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus (2023) · cites this paper as [2]
The cited source says what the claim attributes to it.
In the citing paper
“atrophy of the pancreas”
From Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus (2023) · cites this paper as [2]
The cited source says what the claim attributes to it.
In the citing paper
“HNF1B-MODY: developmental renal disease”
From Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus (2023) · cites this paper as [2]
The cited source says what the claim attributes to it.
In the citing paper
“KCNJ11 | AD”
From Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus (2023) · cites this paper as [2]
The cited source says what the claim attributes to it.
In the citing paper
“developmental delay”
From Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus (2023) · cites this paper as [2]
The cited source says what the claim attributes to it.
In the citing paper
“ABCC8 | AD”
From Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus (2023) · cites this paper as [2]
The cited source says what the claim attributes to it.
In the citing paper
“insulin requiring”
From Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus (2023) · cites this paper as [2]
The cited source says what the claim attributes to it.
In the citing paper
“IUGR”
From Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus (2023) · cites this paper as [2]
The cited source says what the claim attributes to it.
In the citing paper
“IUGR”
From Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus (2023) · cites this paper as [2]
The cited source says what the claim attributes to it.
In the citing paper
“Permanent: IUGR; insulin requiring”
From Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus (2023) · cites this paper as [2]
The cited source says what the claim attributes to it.
In the citing paper
“hyperuricemia”
From Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus (2023) · cites this paper as [2]
The cited source says what the claim attributes to it.
In the citing paper
“INS | AD”
From Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus (2023) · cites this paper as [2]
The cited source says what the claim attributes to it.
In the citing paper
“medications other than insulin”
From Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus (2023) · cites this paper as [2]
The cited source says what the claim attributes to it.
In the citing paper
“insulin requiring”
From Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus (2023) · cites this paper as [2]
The cited source says what the claim attributes to it.
In the citing paper
“GATA6 | AD”
From Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus (2023) · cites this paper as [2]
The cited source says what the claim attributes to it.
In the citing paper
“EIF2B1 | AD”
From Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus (2023) · cites this paper as [2]
The cited source says what the claim attributes to it.
In the citing paper
“epiphyseal dysplasia”
From Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus (2023) · cites this paper as [2]
The cited source says what the claim attributes to it.
In the citing paper
“mechanisms include UPD6”
From Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus (2023) · cites this paper as [2]
The cited source says what the claim attributes to it.
In the citing paper
“macroglossia”
From Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus (2023) · cites this paper as [2]
The cited source says what the claim attributes to it.
In the citing paper
“EIF2AK3 | AR”
From Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus (2023) · cites this paper as [2]
The cited source says what the claim attributes to it.
In the citing paper
“pancreatic exocrine”
From Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus (2023) · cites this paper as [2]
The cited source says what the claim attributes to it.
In the citing paper
“fluctuating liver function”
From Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus (2023) · cites this paper as [2]
The cited source says what the claim attributes to it.
In the citing paper
“pancreatic hypoplasia”
From Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus (2023) · cites this paper as [2]
The cited source says what the claim attributes to it.
In the citing paper
“Permanent diabetes”
From Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus (2023) · cites this paper as [2]
The cited source says what the claim attributes to it.
In the citing paper
“cardiac”
From Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus (2023) · cites this paper as [2]
The cited source says what the claim attributes to it.
In the citing paper
“pancreatic exocrine”
From Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus (2023) · cites this paper as [2]
The cited source says what the claim attributes to it.
In the citing paper
“Permanent: pancreatic hypoplasia; cardiac”
From Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus (2023) · cites this paper as [2]
The cited source says what the claim attributes to it.
In the citing paper
“immunodysregulation”
From Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus (2023) · cites this paper as [2]
The cited source says what the claim attributes to it.
In the citing paper
“autoimmune diabetes”
From Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus (2023) · cites this paper as [2]
The cited source says what the claim attributes to it.
In the citing paper
“insulin requiring”
From Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus (2023) · cites this paper as [2]
The cited source says what the claim attributes to it.
In the citing paper
“Permanent: Wolcott-Rallison syndrome”
From Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus (2023) · cites this paper as [2]
The cited source says what the claim attributes to it.
In the citing paper
“6q24 (PLAGL1, HYMA1) | AD for paternal duplications”
From Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus (2023) · cites this paper as [2]
The cited source says what the claim attributes to it.
In the citing paper
“IUGR”
From Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus (2023) · cites this paper as [2]
The cited source says what the claim attributes to it.
In the citing paper
“FOXP3 | X-linked”
From Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus (2023) · cites this paper as [2]
The cited source says what the claim attributes to it.
In the citing paper
“Transient: IUGR; macroglossia; umbilical”
From Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus (2023) · cites this paper as [2]
The cited source says what the claim attributes to it.
In the citing paper
“Permanent: immunodysregulation,”
From Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus (2023) · cites this paper as [2]
The cited source says what the claim attributes to it.
In the citing paper
“hernia”
From Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus (2023) · cites this paper as [2]
The cited source says what the claim attributes to it.
In the citing paper
“insulin requiring”
From Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus (2023) · cites this paper as [2]
The cited source says what the claim attributes to it.
In the citing paper
“exfoliative”
From Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus (2023) · cites this paper as [2]
The cited source says what the claim attributes to it.
In the citing paper
“autoimmune thyroid disease”
From Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus (2023) · cites this paper as [2]
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Citations
Cites
Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin
(2002) · New England Journal of Medicine · doi:10.1056/nejmoa012512 · Cited by 19,011 · cited 1×
“The efficacy of interventions for primary prevention of type 2 diabetes (22,23) has mainly been demonstrated among individuals who have impaired glucose tolerance (IGT) with or without elevated fasting glucose, not for individuals with isolated impaired fasting glucose (IFG) or for those with prediabetes defined by A1…”
BackgroundDiagnosis and Classification of Diabetes Mellitus
American Diabetes Association (2010) · Diabetes Care · doi:10.2337/dc11-s062 · Cited by 14,094
International Diabetes Federation 2017
Carracher, A. M., Marathe, P. H., & Close, K. L. (2018) · Journal of Diabetes · doi:10.1111/1753-0407.12644 · Cited by 13,379
(2004) · The Lancet · doi:10.1016/s0140-6736(03)15268-3 · Cited by 12,717
Tuomilehto, J., Lindström, J., Eriksson, J. G., Valle, T. T., Hämäläinen, H., Ilanne-Parikka, P., Keinänen-Kiukaanniemi, S., Laakso, M., Louheranta, A., Rastas, M., et al. (2001) · New England Journal of Medicine · doi:10.1056/nejm200105033441801 · Cited by 10,873
IDF Diabetes Atlas: Global estimates of diabetes prevalence for 2017 and projections for 2045
Cho, N. H., Shaw, J. E., Karuranga, S., Huang, Y., da Rocha Fernandes, J. D., Ohlrogge, A. W., & Malanda, B. (2018) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2018.02.023 · Cited by 7,283
Report of the Expert Committee on the Diagnosis and Classification of Diabetes Mellitus
The Expert Committee on the Diagnosis and Classification of Diabetes Mellitus (1997) · Diabetes Care · doi:10.2337/diacare.20.7.1183 · Cited by 6,220
Diagnosis and classification of diabetes mellitus
American Diabetes Association (2014) · Diabetes Care · doi:10.2337/dc14-s081 · Cited by 5,974
Hyperglycemia and adverse pregnancy outcomes
(2008) · New England Journal of Medicine · doi:10.1056/nejmoa0707943 · Cited by 5,563
Classification and diagnosis of diabetes mellitus and other categories of glucose intolerance.
National Diabetes Data Group (1979) · Diabetes · doi:10.2337/diab.28.12.1039 · Cited by 4,909
Flagged first, then by citations
Research works printed but not linked: 1
- International Diabetes Federation . IDF Diabetes Atlas, 9th edition. Brussels, Belgium, International Diabetes Federation, 2019. Accessed 15 October 2020. Available from https://www.diabetesatlas.org/en/
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Gelder, I. C. V., Rienstra, M., Bunting, K. V., Casado-Arroyo, R., Caso, V., Crijns, H. J. G. M., Potter, T. J. R. D., Dwight, J., Guasti, L., Hanke, T., et al. (2024) · European Heart Journal · doi:10.1093/eurheartj/ehae176 · Cited by 3,507
Davies, M. J., Aroda, V. R., Collins, B. S., Gabbay, R. A., Green, J., Maruthur, N. M., Rosas, S. E., Del Prato, S., Mathieu, C., Mingrone, G., et al. (2022) · Diabetes Care · doi:10.2337/dci22-0034 · Cited by 2,104
DiMeglio, L. A., Evans-Molina, C., & Oram, R. A. (2018) · The Lancet · doi:10.1016/s0140-6736(18)31320-5 · Cited by 1,561
Ahmad, E., Lim, S., Lamptey, R., Webb, D. R., & Davies, M. J. (2022) · The Lancet · doi:10.1016/s0140-6736(22)01655-5 · Cited by 1,120
Davies, M. J., Aroda, V. R., Collins, B. S., Gabbay, R. A., Green, J., Maruthur, N. M., Rosas, S. E., Del Prato, S., Mathieu, C., Mingrone, G., et al. (2022) · Diabetologia · doi:10.1007/s00125-022-05787-2 · Cited by 1,048
KANALEY, J. A., COLBERG, S. R., CORCORAN, M. H., MALIN, S. K., RODRIGUEZ, N. R., CRESPO, C. J., KIRWAN, J. P., & ZIERATH, J. R. (2022) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000002800 · Cited by 931
Obesity and type 2 diabetes mellitus: connections in epidemiology, pathogenesis, and treatments
Ruze, R., Liu, T., Zou, X., Song, J., Chen, Y., Xu, R., Yin, X., & Xu, Q. (2023) · Frontiers in Endocrinology · doi:10.3389/fendo.2023.1161521 · Cited by 799
Zaharia, O. P., Strassburger, K., Strom, A., Bönhof, G. J., Karusheva, Y., Antoniou, S., Bódis, K., Markgraf, D. F., Burkart, V., Müssig, K., et al. (2019) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(19)30187-1 · Cited by 600
Targher, G., Tilg, H., & Byrne, C. D. (2021) · The Lancet Gastroenterology & Hepatology · doi:10.1016/s2468-1253(21)00020-0 · Cited by 586
Udler, M. S., Kim, J., von Grotthuss, M., Bonàs-Guarch, S., Cole, J. B., Chiou, J., ISGC, C. D. A. O. B. O. M. A. T., Boehnke, M., Laakso, M., Atzmon, G., et al. (2018) · PLOS Medicine · doi:10.1371/journal.pmed.1002654 · Cited by 542
Blonde, L., Umpierrez, G. E., Reddy, S. S., McGill, J. B., Berga, S. L., Bush, M., Chandrasekaran, S., DeFronzo, R. A., Einhorn, D., Galindo, R. J., et al. (2022) · Endocrine Practice · doi:10.1016/j.eprac.2022.08.002 · Cited by 507
The Role of Obesity in Type 2 Diabetes Mellitus—An Overview
Chandrasekaran, P., & Weiskirchen, R. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25031882 · Cited by 582
Epidemiology and management of gestational diabetes
Sweeting, A., Hannah, W., Backman, H., Catalano, P., Feghali, M., Herman, W. H., Hivert, M.-F., Immanuel, J., Meek, C., Oppermann, M. L., et al. (2024) · The Lancet · doi:10.1016/s0140-6736(24)00825-0 · Cited by 431
Protein kinase CK2: a potential therapeutic target for diverse human diseases
Borgo, C., D’Amore, C., Sarno, S., Salvi, M., & Ruzzene, M. (2021) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-021-00567-7 · Cited by 393
Sacks, D. B., Arnold, M., Bakris, G. L., Bruns, D. E., Horvath, A. R., Lernmark, Å., Metzger, B. E., Nathan, D. M., & Kirkman, M. S. (2023) · Diabetes Care · doi:10.2337/dci23-0036 · Cited by 351
Changes in Utilization of Bariatric Surgery in the United States From 1993 to 2016
Campos, G. M., Khoraki, J., Browning, M. G., Pessoa, B. M., Mazzini, G. S., & Wolfe, L. G. (2019) · Annals of Surgery · doi:10.1097/sla.0000000000003554 · Cited by 327
Libman, I. M., Haynes, A., Lyons, S. K., Pradeep, P., Rwagasor, E., Tung, J. Y., Jefferies, C., Oram, R. A., Dabelea, D., & Craig, M. E. (2022) · Pediatric Diabetes · doi:10.1111/pedi.13454 · Cited by 339
Diabetes mellitus – Definition, Klassifikation, Diagnose, Screening und Prävention (Update 2023)
Harreiter, J., & Roden, M. (2023) · Wiener klinische Wochenschrift · doi:10.1007/s00508-022-02122-y · Cited by 352
Fresh insights into glucocorticoid-induced diabetes mellitus and new therapeutic directions
Li, J.-X., & Cummins, C. L. (2022) · Nature Reviews Endocrinology · doi:10.1038/s41574-022-00683-6 · Cited by 285
Diabetes and Stroke: What Are the Connections?
Mosenzon, O., CHENG, A. Y. Y., Rabinstein, A. A., & Sacco, S. (2023) · Journal of Stroke · doi:10.5853/jos.2022.02306 · Cited by 286
Quattrin, T., Mastrandrea, L. D., & Walker, L. S. K. (2023) · The Lancet · doi:10.1016/s0140-6736(23)00223-4 · Cited by 292
Yin, B., Wu, Z., Xia, Y., Xiao, S., Chen, L., & Li, Y. (2023) · Cardiovascular Diabetology · doi:10.1186/s12933-023-01886-5 · Cited by 256
Integrated image-based deep learning and language models for primary diabetes care
Li, J., Guan, Z., Wang, J., Cheung, C. Y., Zheng, Y., Lim, L.-L., Lim, C. C., Ruamviboonsuk, P., Raman, R., Corsino, L., et al. (2024) · Nature Medicine · doi:10.1038/s41591-024-03139-8 · Cited by 250
Clinical determinants of the severity of COVID-19: A systematic review and meta-analysis
Li, X., Zhong, X., Wang, Y., Zeng, X., Luo, T., & Liu, Q. (2021) · PLOS ONE · doi:10.1371/journal.pone.0250602 · Cited by 236
Pillon, N. J., Loos, R. J. F., Marshall, S. M., & Zierath, J. R. (2021) · Cell · doi:10.1016/j.cell.2021.02.012 · Cited by 247
Man, S., Deng, Y., Ma, Y., Fu, J., Bao, H., Yu, C., Lv, J., Liu, H., Wang, B., & Li, L. (2023) · Gastroenterology · doi:10.1053/j.gastro.2023.05.053 · Cited by 228
Wang, T., Lu, J., Shi, L., Chen, G., Xu, M., Xu, Y. H., Su, Q., Mu, Y., Chen, L., Hu, R., et al. (2019) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(19)30425-5 · Cited by 215
Xue, Y., Xu, J., Li, M., & Gao, Y. (2022) · Frontiers in Endocrinology · doi:10.3389/fendo.2022.951689 · Cited by 220
Argano, C., Mirarchi, L., Amodeo, S., Orlando, V., Torres, A., & Corrao, S. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms242015485 · Cited by 261
Pullano, S. A., Greco, M., Bianco, M. G., Foti, D., Brunetti, A., & Fiorillo, A. S. (2022) · Theranostics · doi:10.7150/thno.64035 · Cited by 210
Egan, A. M., & Dinneen, S. F. (2018) · Medicine · doi:10.1016/j.mpmed.2018.10.002 · Cited by 235
Greeley, S. A. W., Polak, M., Njølstad, P. R., Barbetti, F., Williams, R., Castano, L., Raile, K., Chi, D. V., Habeb, A., Hattersley, A. T., et al. (2022) · Pediatric Diabetes · doi:10.1111/pedi.13426 · Cited by 211
Kashtoh, H., & Baek, K.-H. (2023) · Plants · doi:10.3390/plants12162944 · Cited by 222
Huang, D. Q., Noureddin, N., Ajmera, V. H., Amangurbanova, M., Bettencourt, R., Truong, E., Gidener, T., Siddiqi, H., Majzoub, A. M., Nayfeh, T., et al. (2023) · The Lancet. Gastroenterology & hepatology · doi:10.1016/s2468-1253(23)00157-7 · Cited by 198
Jiang, W., Xu, C., Du, C., Dong, J., Xu, S., Hu, B.-F., Feng, R., Zang, D., Meng, X., Huang, C., et al. (2021) · Theranostics · doi:10.7150/thno.63735 · Cited by 188
Huang, D. Q., Wilson, L. A., Behling, C., Kleiner, D. E., Kowdley, K. V., Dasarathy, S., Amangurbanova, M., Terrault, N. A., Diehl, A. M., Chalasani, N., et al. (2023) · Gastroenterology · doi:10.1053/j.gastro.2023.04.025 · Cited by 190
Park, B., Lee, H. S., & Lee, Y. (2020) · Translational research · doi:10.1016/j.trsl.2020.08.003 · Cited by 186
Amanat, S., Ghahri, S., Dianatinasab, A., Fararouei, M., & Dianatinasab, M. (2020) · Advances in experimental medicine and biology · doi:10.1007/978-981-15-1792-1_6 · Cited by 188
Heterogeneity and endotypes in type 1 diabetes mellitus
REDONDO, M. J., & Morgan, N. G. (2023) · Nature Reviews Endocrinology · doi:10.1038/s41574-023-00853-0 · Cited by 182
Singh, A. P., Shadangi, S., Gupta, P. K., & Rana, S. (2025) · Comprehensive physiology · doi:10.1002/cph4.70003 · Cited by 201
Periodontitis and implant complications in diabetes
Nibali, L., Gkranias, N., Mainas, G., & Pino, A. D. (2022) · Periodontology 2000 · doi:10.1111/prd.12451 · Cited by 187
Bonnefond, A., Ranjit Unnikrishnan, I., Doria, A., Vaxillaire, M., Kulkarni, R., Mohan, V., Trischitta, V., & Froguel, P. (2023) · Nature Reviews Disease Primers · doi:10.1038/s41572-023-00421-w · Cited by 167
Interventions for Reversing Prediabetes: A Systematic Review and Meta-Analysis
Galaviz, K. I., Weber, M. B., Suvada, K., Gujral, U. P., Wei, J., Merchant, R., Dharanendra, S., Haw, J. S., Narayan, K. M. V., & Ali, M. K. (2022) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2021.10.020 · Cited by 149
Sacks, D. B., Arnold, M. A., Bakris, G. L., Bruns, D. E., Horvath, A. R., Lernmark, Å., Metzger, B. E., Nathan, D. M., & Kirkman, M. S. (2023) · Clinical Chemistry · doi:10.1093/clinchem/hvad080 · Cited by 164
Gardner, C. D., Landry, M. J., Perelman, D., Petlura, C., Durand, L. R., Aronica, L., Crimarco, A., Cunanan, K. M., Chang, A., Dant, C. C., et al. (2022) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/nqac154 · Cited by 151
The Regulation of Selenoproteins in Diabetes: A New Way to Treat Diabetes
Liang, J., He, Y., Huang, C., Ji, F., Zhou, X., & Yin, Y. (2024) · Current Pharmaceutical Design · doi:10.2174/0113816128302667240422110226 · Cited by 149
Cardiometabolic multimorbidity accelerates cognitive decline and dementia progression
Dove, A. E., Marseglia, A., Shang, Y., Grande, G., Vetrano, D. L., Laukka, E. J., Fratiglioni, L., & Xu, W. (2022) · Alzheimer s & Dementia · doi:10.1002/alz.12708 · Cited by 148
Ye, J., Wu, Y., Yang, S., Zhu, D., Chen, F., Chen, J., Ji, X., & Hou, K. (2023) · Frontiers in Endocrinology · doi:10.3389/fendo.2023.1192629 · Cited by 138
Maddaloni, E., Bolli, G. B., Frier, B. M., Little, R. R., Leslie, R. D., Pozzilli, P., & Buzzetti, R. (2022) · Diabetes, Obesity and Metabolism · doi:10.1111/dom.14785 · Cited by 135
Kwan, T., Wong, S. S., Hong, Y., Kanaya, A. M., Khan, S. S., Hayman, L. L., Shah, S. H., Welty, F. K., DEEDWANIA, P. C., Khaliq, A., et al. (2023) · Circulation · doi:10.1161/cir.0000000000001145 · Cited by 140
Zhang, P., Mo, D.-G., Zeng, W., & Dai, H. (2025) · Cardiovascular Diabetology · doi:10.1186/s12933-025-02642-7 · Cited by 139
Ten things to know about ten cardiovascular disease risk factors – 2022
Bays, H. E., Agarwala, A., German, C. A., Satish, P., Iluyomade, A., Dudum, R., Thakkar, A., Rifai, M. A., Mehta, A., Thobani, A., et al. (2022) · American Journal of Preventive Cardiology · doi:10.1016/j.ajpc.2022.100342 · Cited by 148
Hou, J., Chen, K.-X., He, C., Li, X., Huang, M., Jiang, Y., Jiao, Y., Xiao, Q.-N., He, W., Liu, L., et al. (2024) · Nature Aging · doi:10.1038/s43587-024-00694-0 · Cited by 143
McGuire, D. K., Busui, R. P., Deanfield, J., Inzucchi, S. E., Mann, J. F. E., Marx, N., Mulvagh, S. L., Poulter, N., Engelmann, M. D. M., Hovingh, G. K., et al. (2023) · Diabetes, Obesity and Metabolism · doi:10.1111/dom.15058 · Cited by 131
Hummel, S., Carl, J., Friedl, N., Winkler, C., Kick, K., Stock, J., Reinmüller, F., Ramminger, C., Schmidt, J., Lwowsky, D., et al. (2023) · Diabetologia · doi:10.1007/s00125-023-05953-0 · Cited by 129
The Influence of Lifestyle and Treatment on Oxidative Stress and Inflammation in Diabetes
Wronka, M., Krzemińska, J., Młynarska, E., Rysz, J., & Franczyk, B. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms232415743 · Cited by 140
Prevention of Microvascular Complications of Diabetes
Crasto, W., Patel, V., Davies, M. J., & Khunti, K. (2021) · Endocrinology and Metabolism Clinics of North America · doi:10.1016/j.ecl.2021.05.005 · Cited by 142
Mei, Z., Wang, F., Bhosle, A., Dong, D., Mehta, R. S., Ghazi, A. R., Zhang, Y., Liu, Y., Rinott, E., Ma, S., et al. (2024) · Nature Medicine · doi:10.1038/s41591-024-03067-7 · Cited by 130
Noone, J., Mucinski, J. M., DeLany, J. P., Sparks, L. M., & Goodpaster, B. H. (2024) · Cell Metabolism · doi:10.1016/j.cmet.2023.12.025 · Cited by 128
Crowley, K., Scanaill, P. Ó., Hermanides, J., & Buggy, D. J. (2023) · British Journal of Anaesthesia · doi:10.1016/j.bja.2023.02.039 · Cited by 132
Osteoimmunology in Periodontitis and Orthodontic Tooth Movement
Alghamdi, B., Jeon, H. H., Ni, J., Qiu, D., Liu, A., Hong, J. J., Ali, M., Wang, A., Troka, M. E., & Graves, D. T. (2023) · Current Osteoporosis Reports · doi:10.1007/s11914-023-00774-x · Cited by 132
The impact of nutrition and lifestyle modification on health
Santos, L. D. C. (2021) · European Journal of Internal Medicine · doi:10.1016/j.ejim.2021.09.020 · Cited by 131
Undiagnosed Diabetes in U.S. Adults: Prevalence and Trends
Fang, M., Wang, D., Coresh, J., & Selvin, E. (2022) · Diabetes Care · doi:10.2337/dc22-0242 · Cited by 130
Li, C., Fang, Q., Liu, M., & Lin, J. (2020) · Theranostics · doi:10.7150/thno.42167 · Cited by 118
Increased Levels of Glycated Hemoglobin A1c and Iron Deficiency Anemia: A Review
Guo, W., Zhou, Q., Jia, Y., & Xu, J. (2019) · Medical Science Monitor · doi:10.12659/msm.916719 · Cited by 116
Aras, M., Tchang, B. G., & Pape, J. (2021) · Nursing Clinics of North America · doi:10.1016/j.cnur.2021.07.008 · Cited by 122
Rodolaki, K., Pergialiotis, V., Iakovidou, N., Boutsikou, Τ., Iliodromiti, Z., & Kanaka‐Gantenbein, C. (2023) · Frontiers in Endocrinology · doi:10.3389/fendo.2023.1125628 · Cited by 127
D’Onofrio, N., Sardu, C., Trotta, M. C., Scisciola, L., Turriziani, F., Ferraraccio, F., Panarese, I., Petrella, L., Fanelli, M., Modugno, P., et al. (2021) · Molecular Metabolism · doi:10.1016/j.molmet.2021.101337 · Cited by 108
Pathogenesis of Type 1 Diabetes: Established Facts and New Insights
Zajec, A., Podkrajšek, K. T., Tesovnik, T., Šket, R., Kern, B. Č., Bizjan, B. J., Schweiger, D. Š., Battelino, T., & Kovač, J. (2022) · Genes · doi:10.3390/genes13040706 · Cited by 117
Phenotypic and genetic classification of diabetes
Deutsch, A. J., Ahlqvist, E., & Udler, M. S. (2022) · Diabetologia · doi:10.1007/s00125-022-05769-4 · Cited by 108
Screening for Diabetes and Prediabetes
Duan, D., Kengne, A. P., & Echouffo-Tcheugui, J. B. (2021) · Endocrinology and Metabolism Clinics of North America · doi:10.1016/j.ecl.2021.05.002 · Cited by 131
Diabetes-induced male infertility: potential mechanisms and treatment options
Huang, R., Chen, J., Guo, B., Jiang, C., & Sun, W. (2024) · Molecular Medicine · doi:10.1186/s10020-023-00771-x · Cited by 130
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Younossi, Z. M., Ong, J. P., Takahashi, H., Yilmaz, Y., Eguc`hi, Y., El Kassas, M., Buti, M., Diago, M., Zheng, M.-H., Fan, J.-G., et al. (2022) · Clinical Gastroenterology and Hepatology · doi:10.1016/j.cgh.2021.06.048 · Cited by 115
Diabetes in ageing: pathways for developing the evidence base for clinical guidance
Munshi, M. N., Meneilly, G. S., Rodríguez‐Mañas, L., Close, K. L., Conlin, P. R., Cukierman‐Yaffe, T., Forbes, A., Ganda, O. P., Kahn, C. R., Huang, E. S., et al. (2020) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(20)30230-8 · Cited by 107
Methylglyoxal – An emerging biomarker for diabetes mellitus diagnosis and its detection methods
Ramachandra, B. L., Vedantham, S., Krishnan, U. M., & Rayappan, J. B. B. (2019) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2019.03.010 · Cited by 102
Martínez‐Vizcaíno, V., Sanabria‐Martínez, G., Fernández‐Rodríguez, R., Cavero‐Redondo, I., Pascual‐Morena, C., Álvarez‐Bueno, C., & Martínez‐Hortelano, J. A. (2022) · BJOG An International Journal of Obstetrics & Gynaecology · doi:10.1111/1471-0528.17304 · Cited by 117
Huh, J. H., Roh, E., Lee, S. J., Ihm, S., Han, K., & Kang, J. G. (2022) · Diabetes Care · doi:10.2337/dc22-1550 · Cited by 99
Diabetes following acute pancreatitis
Hart, P. A., Bradley, D. P., Conwell, D. L., Dungan, K. M., Krishna, S. G., Wyne, K. L., Bellin, M. D., Yadav, D. K., Andersen, D. K., Serrano, J., et al. (2021) · The Lancet. Gastroenterology & hepatology · doi:10.1016/s2468-1253(21)00019-4 · Cited by 107
Wong, G. L., Wong, V. W., Yuen, B. W., Tse, Y., Luk, H. W., Yip, T. C., Hui, V. W., Liang, L. Y., Lui, G. C.-Y., & Chan, H. L. (2019) · Hepatology · doi:10.1002/hep.30833 · Cited by 96
Effects of a Digital Diabetes Prevention Program: An RCT
Katula, J. A., Dressler, E. V., Kittel, C. A., Harvin, L. N., Almeida, F. A., Wilson, K. E., Michaud, T. L., Porter, G. C., Brito, F. A., Goessl, C. L., et al. (2022) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2021.10.023 · Cited by 86
Cheng, L. J., Wang, W., Lim, S. T., & Wu, X. V. (2019) · Journal of Clinical Nursing · doi:10.1111/jocn.14795 · Cited by 98
Bohula, E. A., Scirica, B. M., Inzucchi, S. E., McGuire, D. K., Keech, A. C., Smith, S. R., Kanevsky, E., Murphy, S. A., Leiter, L. A., Dwyer, J. P., et al. (2018) · The Lancet · doi:10.1016/s0140-6736(18)32328-6 · Cited by 94
CGMap: Characterizing continuous glucose monitor data in thousands of non-diabetic individuals
Keshet, A., Shilo, S., Godneva, A., Talmor‐Barkan, Y., Aviv, Y., Segal, E., & Rossman, H. (2023) · Cell Metabolism · doi:10.1016/j.cmet.2023.04.002 · Cited by 105
Physical activity and dietary interventions in diabetic neuropathy: a systematic review
Zilliox, L. A., & Russell, J. W. (2019) · Clinical Autonomic Research · doi:10.1007/s10286-019-00607-x · Cited by 99
Allegretti, A. S., Zhang, W., Zhou, W., Thurber, T. K., Rigby, S. P., Bowman-Stroud, C., Trescolí, C., Sérusclat, P., Freeman, M. W., & Halvorsen, Y. C. (2019) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2019.03.417 · Cited by 98
Fu, J. M., & Retnakaran, R. R. (2022) · EClinicalMedicine · doi:10.1016/j.eclinm.2022.101294 · Cited by 101
Wang, L., & Zhong, Y. (2022) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2022.993930 · Cited by 92
Multi Disease Prediction Model by using Machine Learning and Flask API
Akkem, Y. (2020) · International Conference on Communication and Electronics Systems (ICCES) · doi:10.1109/icces48766.2020.9137896 · Cited by 91
He, P., Zhang, Y., Ye, Z., Li, H., Liu, M., Zhou, C., Yang, S., Gan, X., Zhang, Y., & Qin, X. (2023) · Metabolism · doi:10.1016/j.metabol.2023.155643 · Cited by 92
Gomes, D., von Kries, R., Delius, M., Mansmann, U., Nast, M., Stubert, M., Langhammer, L., Haas, N. A., Netz, H., Obermeier, V., et al. (2018) · PLoS Medicine · doi:10.1371/journal.pmed.1002681 · Cited by 95
Arcidiacono, B., CHIEFARI, E. D., Foryst‐Ludwig, A., Currò, G., Navarra, G., Brunetti, F. S., Mirabelli, M., Corigliano, D. M., Kintscher, U., Britti, D., et al. (2020) · EBioMedicine · doi:10.1016/j.ebiom.2020.102912 · Cited by 95
The alteration of gut microbiota in newly diagnosed type 2 diabetic patients
Chen, P., Chien, Y., & Yang, S. (2018) · Nutrition · doi:10.1016/j.nut.2018.11.019 · Cited by 91
Effects of secukinumab on metabolic and liver parameters in plaque psoriasis patients
Gerdes, S., Pinter, A., Papavassilis, C., & Reinhardt, M. (2019) · Journal of the European Academy of Dermatology and Venereology · doi:10.1111/jdv.16004 · Cited by 85
Health Outcomes of Youth in Clinical Pediatric Weight Management Programs in POWER
Kumar, S., King, E. C., Christison, A. L., Kelly, A. S., Ariza, A. J., Borzutzky, C., Cuda, S. E., Kirk, S., Abraham-Pratt, I., Ali, L., et al. (2019) · The Journal of Pediatrics · doi:10.1016/j.jpeds.2018.12.049 · Cited by 85
Chinese diabetes datasets for data-driven machine learning
Zhao, Q., Zhu, J., Shen, X., Lin, C., Zhang, Y., Liang, Y., Cao, B., Li, J., Liu, X., Rao, W., et al. (2023) · Scientific Data · doi:10.1038/s41597-023-01940-7 · Cited by 96
Modulating the foreign body response of implants for diabetes treatment
Kharbikar, B. N., Chendke, G. S., & Desai, T. A. (2021) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2021.01.011 · Cited by 85
Diabetes and cirrhosis: Current concepts on diagnosis and management
Castéra, L., & Cusi, K. J. (2023) · Hepatology · doi:10.1097/hep.0000000000000263 · Cited by 87
He, J., Bian, X., Song, C., Zhang, R., Yuan, S., Yin, D., & Dou, K. (2022) · Cardiovascular Diabetology · doi:10.1186/s12933-022-01583-9 · Cited by 82
Risk factors for fragility fractures in type 1 diabetes
Leanza, G., Maddaloni, E., Pitocco, D., Conte, C., Palermo, A., Maurizi, A. R., Pantano, A. L., SURACI, C., Altomare, M., Strollo, R., et al. (2019) · Bone · doi:10.1016/j.bone.2019.04.017 · Cited by 82
Wexler, D. J., Powe, C. E., Barbour, L. A., Buchanan, T., Coustan, D. R., Corcoy, R., Damm, P., Dunne, F., Feig, D. S., Ferrara, A., et al. (2018) · Obstetrics & Gynecology · doi:10.1097/aog.0000000000002726 · Cited by 80
Metadata
- Authors
- American Diabetes Association Professional Practice Committee
- Venue
- Diabetes Care
- Publisher
- American Diabetes Association
- Published
- 2021-12-16
- Volume
- 45
- Issue
- Supplement_1
- Pages
- S17-S38
- ISSN
- 0149-5992 (ISSN-L)
- OpenAlex
- W4200148796
- Semantic Scholar
- a1d863e5f4d381bf99eea7ee26e18dcc69f81a15
- Cited by
- 4,792
- References
- 253
- Citations by year
- 2026: 293 · 2025: 689 · 2024: 1026 · 2023: 1164 · 2022: 814 · 2021: 356
- FWCI
- 129.37
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- 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, Cardiovascular Risks, and Lipoproteins
- Keywords
- diabetes classification, diabetes diagnosis, diabetes diagnosis criteria, diabetes subtypes
- MeSH terms
- Diabetes Mellitus, Endocrinology, Humans, Reference Standards, Societies, Medical, Standard of Care
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