The DOI matches its Crossref record; 253 of the 253 references it cites were found in a registry or an index.
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
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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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Comparison of area under the curve in various models of diabetic rats receiving chronic medication
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Prediction of NAFLD occurrence in prediabetes patients
Vesa, C. M., Behl, T., Nemeth, S., Bratu, O. G., Diaconu, C., Moleriu, R. D., Negruţ, N., Zaha, D. C., Bustea, C., Radu, F. I., et al. (2020) · Experimental and Therapeutic Medicine · doi:10.3892/etm.2020.9320 · Cited by 25
Prediabetes and risk for all-cause and cardiovascular mortality based on hypertension status
Huang, Y., Liu, L., Huang, J., Chen, C., Yu, Y., Lo, K. K.-H., & Feng, Y. (2020) · Annals of Translational Medicine · doi:10.21037/atm-20-1155 · Cited by 23
Cainzos-Achirica, M., Quispe, R., Dudum, R., Greenland, P., Lloyd-Jones, D., Rana, J. S., Lima, J. A. C., Doria de Vasconcellos, H., Joshi, P. H., Khera, A., et al. (2022) · JACC: Cardiovascular Imaging · doi:10.1016/j.jcmg.2021.10.017 · Cited by 24
Giusti, L., Tesi, M., Ciregia, F., Marselli, L., Zallocco, L., Suleiman, M., Luca, C. D., Guerra, S. D., Zuccarini, M., Trerotola, M., et al. (2022) · Cells · doi:10.3390/cells11152465 · Cited by 22
Phong, N. V., Yang, S. Y., Min, B. S., & Kim, J. A. (2023) · Journal of Molecular Structure · doi:10.1016/j.molstruc.2023.135188 · Cited by 24
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Iafusco, D., Franceschi, R., Maguolo, A., Nuzio, S. G., Crinò, A., Delvecchio, M., Iughetti, L., Maffeis, C., Calcaterra, V., & Manco, M. (2023) · Children · doi:10.3390/children10030516 · Cited by 28
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O’Brien, M. J., Zhang, Y., Bailey, S. C., Khan, S. S., Ackermann, R. T., Ali, M. K., Benoit, S. R., Imperatore, G., Holliday, C. S., & Bullard, K. M. (2023) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2023.01.007 · Cited by 23
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Han, Y. Y., Hu, H., Huang, Z., & Liu, D. (2023) · Frontiers in Endocrinology · doi:10.3389/fendo.2023.1111791 · Cited by 25
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Chen, H., Liu, Y., Liu, D., Liang, Y., Zhu, Z., Dong, K., Li, H., Bao, Y., Wu, J., Hou, X., et al. (2023) · Journal of Molecular Cell Biology · doi:10.1093/jmcb/mjad069 · Cited by 24
Arai, T., Atsukawa, M., Tsubota, A., Oikawa, T., Tada, T., Matsuura, K., Ishikawa, T., Abe, H., Kato, K., Morishita, A., et al. (2024) · Diabetes Obesity and Metabolism · doi:10.1111/dom.15898 · Cited by 29
Takács, I., Szekeres, A., Takács, Á., Rakk, D., Mézes, M., Polyák, Á., Lakatos, L., Gyémánt, G., Csupor, D., Kovács, K., et al. (2020) · Planta Medica · doi:10.1055/a-1164-8152 · Cited by 24
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Cen, C., Fan, Z., Ding, X., Tu, X., & Liu, Y. (2024) · Scientific Reports · doi:10.1038/s41598-024-63386-0 · Cited by 23
Zaki, S., Alam, M. F., Sharma, S., El‐Ashker, S., Ahsan, M., & Nuhmani, S. (2024) · Journal of Clinical Medicine · doi:10.3390/jcm13133910 · Cited by 23
Zhang, Z., & Tan, L. (2025) · Frontiers in Endocrinology · doi:10.3389/fendo.2025.1515559 · Cited by 25
Armillotta, M., Bergamaschi, L., Angeli, F., Belmonte, M., Alvarez, M. C., Sansonetti, A., Fedele, D., Amicone, S., Canton, L., Bertolini, D., et al. (2025) · Cardiovascular Diabetology · doi:10.1186/s12933-025-02837-y · Cited by 24
Person‐Centered Primary Care and Type 2 Diabetes: Beyond Blood Glucose Control
Trout, K. K., McCool, W. F., & Homko, C. J. (2019) · Journal of Midwifery & Women s Health · doi:10.1111/jmwh.12973 · Cited by 34
Ertuğlu, L. A., Porrini, E., Hornum, M., Demiray, A., Afşar, B., Ortíz, A., Covic, A. C., Rossing, P. R., & Kanbay, M. (2021) · Transplant International · doi:10.1111/tri.13883 · Cited by 25
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Succurro, E., Vizza, P., Papa, A., Cicone, F., Monea, G., Tradigo, G., Fiorentino, T. V., Perticone, M., Guzzi, P. H., Sciacqua, A., et al. (2022) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2022.924787 · Cited by 23
Bombaci, B., Passanisi, S., Alibrandi, A., D’Arrigo, G., Patroniti, S., Averna, S., Salzano, G., & Lombardo, F. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph191610293 · Cited by 23
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Harnois‐Leblanc, S., Sylvestre, M., Hulst, A. V., Barnett, T. A., Mathieu, M.-E., Mésidor, M., McGrath, J. J., Tremblay, A., Drapeau, V., Paradis, G., et al. (2022) · The Lancet Child & Adolescent Health · doi:10.1016/s2352-4642(22)00278-4 · Cited by 26
Garonzi, C., Maguolo, A., & Maffeis, C. (2022) · Hormone Research in Paediatrics · doi:10.1159/000528342 · Cited by 25
Lawrence, S. E., Chandran, M. M., Park, J. M., Sweiss, H., Jensen, T. B., Choksi, P. U., & Crowther, B. R. (2023) · Clinical Transplantation · doi:10.1111/ctr.14922 · Cited by 23
Fan, L., Zhang, X., Huang, Y., Zhang, B., Li, W., Shi, Q., Lin, Y., & Wu, F. (2023) · Phytotherapy Research · doi:10.1002/ptr.7797 · Cited by 23
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Wu, Y., Cheng, Z., Zhang, W., Yin, C., Sun, J., Hua, H., Long, X., Wu, X., Wang, Y., Ren, X., et al. (2024) · Environmental Pollution · doi:10.1016/j.envpol.2024.123937 · Cited by 23
Diagnosis of erectile dysfunction can be used to improve screening for Type 2 diabetes mellitus
Carrillo-Larco, R. M., Luza-Dueñas, A. C., Urdániga-Hung, M., & Bernabé‐Ortiz, A. (2018) · Diabetic Medicine · doi:10.1111/dme.13783 · Cited by 23
An Efficient Machine Learning Classification Model for Diabetes Prediction
Krishna, T. V. S., Pathuri, S. K., Sandeep, K. S., Padhi, M. K., Aswani, I., & Haritha, D. S. N. (2023) · IEEE International Conference on Communication Systems and Network Technologies (CSNT) · doi:10.1109/csnt57126.2023.10134615 · Cited by 22
Liu, Z., Zhang, Q., Liu, L., & Liu, W. (2023) · Endocrine · doi:10.1007/s12020-023-03472-x · Cited by 22
Kalinke, C., de Oliveira, P. R., Junior, L. H. M., & Bergamini, M. F. (2024) · Talanta · doi:10.1016/j.talanta.2024.126042 · Cited by 23
Diabetes and male fertility disorders
Graziani, A., Scafa, R., Grande, G., & Ferlin, A. (2024) · Molecular Aspects of Medicine · doi:10.1016/j.mam.2024.101303 · Cited by 22
Liu, X., Zhang, Y., Luo, D., Chen, B., Lai, C., He, C., & Li, S. (2025) · BMC Public Health · doi:10.1186/s12889-025-21757-w · Cited by 23
Davoodian, N., Lotfaliany, M., Huxley, R., Lee, C., Pasco, J. A., Adams, R., Azizi, F., Bertoni, A. G., Björkelund, C., Colagiuri, S., et al. (2025) · The Lancet Global Health · doi:10.1016/s2214-109x(25)00237-2 · Cited by 22
Deep single-cell decoding of human pancreatic islets reveals T2D β-cell gene expression defects
Bandesh, K., Motakis, E., Nargund, S., Kursawe, R., Selvam, V., Ansarullah, Bhuiyan, R. M., Eryilmaz, G. N., Willett, A., White, J. K., et al. (2026) · The EMBO Journal · doi:10.1038/s44318-026-00744-w · Cited by 20
The value of glycated hemoglobin as predictor of organ dysfunction in patients with sepsis
Lee, Y. S., Min, K. H., Lee, S. Y., Shim, J. J., Kang, K. H., Cho, W. H., Jeon, D., & Kim, Y. S. (2019) · PLoS ONE · doi:10.1371/journal.pone.0216397 · Cited by 22
Romero‐Cristóbal, M., Mombiela, T., Caballero, A., Clemente, A. P. G., Fernández‐Yunquera, A., Díaz‐Fontenla, F., Rincón, D., Ripoll, C., Bermejo, J., Catalina, M., et al. (2019) · Liver Transplantation · doi:10.1002/lt.25493 · Cited by 22
da Silva, P. M., Lima, M. J., Neves, P. M., & de Macedo, M. E. (2019) · Revista Portuguesa de Cardiologia (English Edition) · doi:10.1016/j.repce.2018.09.012 · Cited by 23
Determinants of Brachial-Ankle Pulse Wave Velocity and Vascular Aging in Healthy Older Subjects
Sang, Y., Wu, X., Miao, J., Cao, M., Ruan, L., & Zhang, C. (2020) · Medical Science Monitor · doi:10.12659/msm.923112 · Cited by 22
Restrepo, B. I., Khan, A., Singh, V. K., de-Leon, E., Aguillón-Durán, G. P., Ledezma-Campos, E., Canaday, D. H., & Jagannath, C. (2020) · Tuberculosis · doi:10.1016/j.tube.2020.102047 · Cited by 23
Quaresima, P., Saccone, G., Pellegrino, R., Vaccarisi, S., Taranto, L., Mazzulla, R., Bernardo, S., Venturella, R., Carlo, C. D., & Morelli, M. (2021) · American Journal of Obstetrics & Gynecology MFM · doi:10.1016/j.ajogmf.2021.100471 · Cited by 22
Huo, Y., Wan, Y., Huang, Q., Wang, A., Mahai, G., He, Z., Xu, S., & Xia, W. (2022) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2022.154889 · Cited by 22
Multi Disease Prediction System using Random Forest Algorithm in Healthcare System
Shanthakumari, R., Nalini, C., Vinothkumar, S., Roopadevi, E. M., & Govindaraj, B. (2022) · International Mobile and Embedded Technology Conference (MECON) · doi:10.1109/mecon53876.2022.9752432 · Cited by 22
Okada, A., Hashimoto, Y., Goto, T., Yamaguchi, S., Ono, S., Kurakawa, K. I., Nangaku, M., Yamauchi, T., Yasunaga, H., & Kadowaki, T. (2022) · Diabetes Care · doi:10.2337/dc21-1841 · Cited by 22
Khoufi, E. A. (2021) · Scientific Journal of King Faisal University Basic and Applied Sciences · doi:10.37575/b/med/0038 · Cited by 22
Chen, T. V., Cuong, T. D., Quý, P. T., Bui, T. Q., Tuấn, L. V., Huế, N. V., Triet, N. T., Hồ, Đ. V., Bảo, N. C., & Nhung, N. T. A. (2022) · Chemical Papers · doi:10.1007/s11696-022-02273-2 · Cited by 25
Bellin, M. D. (2022) · Frontiers in Pediatrics · doi:10.3389/fped.2022.884668 · Cited by 22
Detecting Sarcopenia Risk by Diabetes Clustering: A Japanese Prospective Cohort Study
Tanabe, H., Hirai, H., Saito, H., Tanaka, K., Masuzaki, H., Kazama, J. J., & Shimabukuro, M. (2022) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgac430 · Cited by 22
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Suwaydi, M. A., Zhou, X., Perrella, S. L., Wlodek, M. E., Lai, C. T., Gridneva, Z., & Geddes, D. T. (2022) · Nutrients · doi:10.3390/nu14173620 · Cited by 25
LeFevre, J., Cyriac, S. L., Tokmic, A., & Pitlick, J. M. (2022) · American Journal of Health-System Pharmacy · doi:10.1093/ajhp/zxac244 · Cited by 22
Huang, J., Tse, Y.-K., Li, H., Chen, C., Zhao, C., Liu, M.-Y., Wu, M., Ren, Q. W., Yu, S.-Y., Hung, D., et al. (2022) · Diabetes Care · doi:10.2337/dc22-1188 · Cited by 22
Clinical challenges of glycemic control in the intensive care unit: A narrative review
Sreedharan, R., Martini, A., Das, G., Aftab, N., Khanna, S. K., & Ruetzler, K. (2022) · World Journal of Clinical Cases · doi:10.12998/wjcc.v10.i31.11260 · Cited by 25
Luo, Y., Hao, J., He, X., Wang, C., Zhao, H., Zhang, Z., Yang, L., & Ren, L. (2022) · Diabetes Metabolic Syndrome and Obesity · doi:10.2147/dmso.s387961 · Cited by 22
Canonico, F., Pedicino, D., Severino, A., Vinci, R., Flego, D., Pisano, E., d’Aiello, A., Ciampi, P., Ponzo, M., Bonanni, A., et al. (2022) · Cardiovascular Research · doi:10.1093/cvr/cvac184 · Cited by 22
Qin, K., Bai, S., Chen, W., Li, J., & Guo, V. Y. (2022) · Archives of Gerontology and Geriatrics · doi:10.1016/j.archger.2022.104912 · Cited by 27
Toschi, E. (2023) · Endocrinology and Metabolism Clinics of North America · doi:10.1016/j.ecl.2022.10.006 · Cited by 23
Yip, T. C., Wong, V. W., Lai, M. S., Lai, J. C., Tse, Y., Liang, L. Y., Hui, V. W., Chan, H. L., & Wong, G. L. (2023) · Clinical Gastroenterology and Hepatology · doi:10.1016/j.cgh.2023.02.004 · Cited by 26
Diagnostic factors for recurrent pregnancy loss: an expanded workup
Ticconi, C., Nicastri, E., D’Ippolito, S., Chiaramonte, C., Pietropolli, A., Scambia, G., & Simone, N. D. (2023) · Archives of Gynecology and Obstetrics · doi:10.1007/s00404-023-07001-z · Cited by 25
Hu, X. Y., Yang, T., Xu, Z., Jin, J., Wang, J., Rao, S., Li, G., Cai, Y. S., & Huang, J. (2023) · Ecotoxicology and Environmental Safety · doi:10.1016/j.ecoenv.2023.114992 · Cited by 22
Diaz-Thomas, A., Golden, S. H., Dabelea, D., Grimberg, A., Magge, S. N., Safer, J. D., Shumer, D. E., & Stanford, F. C. (2023) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgad124 · Cited by 25
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Shibabaw, Y. Y., Dejenie, T. A., & Tesfa, K. H. (2023) · Metabolism Open · doi:10.1016/j.metop.2023.100246 · Cited by 22
Serum cystatin C for risk stratification of prediabetes and diabetes populations
Xiong, K., Zhang, S., Zhong, P., Zhu, Z., Chen, Y., Huang, W., & Wang, W. (2023) · Diabetes & Metabolic Syndrome Clinical Research & Reviews · doi:10.1016/j.dsx.2023.102882 · Cited by 22
Mokgalaboni, K., Mashaba, G. R., Phoswa, W. N., & Lebelo, S. L. (2024) · Nutrition and Diabetes · doi:10.1038/s41387-024-00282-6 · Cited by 24
Balanova, Y. А., Shalnova, S. A., Имаева, А. Э., Kutsenko, V. A., Владимировна, К. А., Евстифеева, С. Е., Аркадьевна, М. Г., Ievlev, R. V., Шепель, Р. Н., & Drapkina, O. M. (2024) · CARDIOVASCULAR THERAPY AND PREVENTION · doi:10.15829/1728-8800-2024-4022 · Cited by 22
AghaHosseini, F., Bayat, M., Sadeghian, Z., Gheidari, D., & Safari, F. (2024) · PLoS ONE · doi:10.1371/journal.pone.0306973 · Cited by 22
Fallstricke bei der Diabetesdiagnostik: Wird zu lax mit Laborwerten umgegangen?
Landgraf, R., Nauck, M. A., Freckmann, G., Müller, U., Heinemann, L., Kellerer, M., & Müller‐Wieland, D. (2018) · DMW - Deutsche Medizinische Wochenschrift · doi:10.1055/a-0673-2156 · Cited by 22
da Silva, P. M., Lima, M. J., Neves, P. M., & de Macedo, M. E. (2019) · Revista Portuguesa de Cardiologia · doi:10.1016/j.repc.2018.09.011 · Cited by 37
Ojo, O. A., Adegboyega, A. E., Johnson, G. I., Umedum, N. L., Onuh, K., Adeduro, M. N., Nwobodo, V. O. G., Elekan, A. O., Alemika, T. E., & Johnson, T. O. (2021) · Informatics in Medicine Unlocked · doi:10.1016/j.imu.2021.100719 · Cited by 23
Guo, X. L., Tu, M., Chen, Y., & Wang, W. (2022) · Frontiers in Endocrinology · doi:10.3389/fendo.2022.850334 · Cited by 22
Hsu, J., Yang, Y., Chuang, S.-L., Lin, L., & Chen, T. H.-H. (2023) · Cardiovascular Diabetology · doi:10.1186/s12933-023-01767-x · Cited by 22
Li, X., Wu, L., Yun, J., & Sun, Q. (2023) · Medicine · doi:10.1097/md.0000000000034242 · Cited by 21
Giuliani, A., Ramini, D., Sbriscia, M., Crocco, P., Tiano, L., Rippo, M. R., Bonfigli, A. R., Rose, G., Luca, M. D., Olivieri, F., et al. (2024) · Diabetology & Metabolic Syndrome · doi:10.1186/s13098-024-01431-8 · Cited by 21
Pathophysiology, diagnosis, and management of immune checkpoint inhibitor-induced diabetes mellitus
Kani, E.-R., Karaviti, E., Karaviti, D., Gerontiti, E., Paschou, I. A., Saltiki, K., Stefanaki, K., Ψαλτοπούλου, Θ., & Paschou, S. Α. (2024) · Endocrine · doi:10.1007/s12020-024-04050-5 · Cited by 22
Lin, J., Zhao, D., Liang, Y., Liang, Z., Wang, M., Tang, X., Zhuang, H., Wang, H., Yin, X., Huang, Y., et al. (2024) · BMC Pregnancy and Childbirth · doi:10.1186/s12884-024-06919-9 · Cited by 24
Cardiovascular contributions to dementia: Examining sex differences and female‐specific factors
Alexander, M. W., Paterson, J., Arvanitakis, Z., Black, S. E., Casaletto, K. B., Christakis, M. K., Einstein, G., Galea, L. A. M., Harwood, L., Kirkham, A. A., et al. (2025) · Alzheimer s & Dementia · doi:10.1002/alz.70610 · Cited by 23
Song, D., Feng, G., Ma, Y., Shi, Y., Qian, C., Wang, C., Xu, J., Li, Y., Wang, X., Fan, N., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-66498-x · Cited by 26
Massignam, E. T., Dieter, C., Pellenz, F. M., Assmann, T. S., & Crispim, D. (2020) · Acta Ophthalmologica · doi:10.1111/aos.14638 · Cited by 21
Distinguishing diabetes secondary to pancreatic diseases from type 2 diabetes mellitus
Hart, P. A., Andersen, D. K., Petrov, M. S., & Goodarzi, M. O. (2021) · Current Opinion in Gastroenterology · doi:10.1097/mog.0000000000000754 · Cited by 21
Sencan, C., Dost, F. S., Bulut, E. A., & Işık, A. T. (2022) · Experimental Gerontology · doi:10.1016/j.exger.2022.111832 · Cited by 23
Liu, Q., Zhou, Q. S., He, Y., Zou, J., Guo, Y., & Yan, Y. (2022) · Journal of Personalized Medicine · doi:10.3390/jpm12071055 · Cited by 26
Hsieh, M.-H., Chen, Y., Ho, C.-H., & Lin, C. (2022) · Diabetes Metabolic Syndrome and Obesity · doi:10.2147/dmso.s369552 · Cited by 29
Aksakal, E., Aksu, U., Birdal, O., Öztürk, M., Gülcü, O., Kalkan, K., Korkmaz, A. F., Korucu, C., & Lazoğlu, M. (2022) · Angiology · doi:10.1177/00033197221121435 · Cited by 21
SGLT-2 inhibitors in obesity and its associated cardiometabolic disorders: where do we stand?
Vallianou, N. G., Tsilingiris, D., Kounatidis, D. C., Lempesis, I. G., Karampela, Ι., & Dalamaga, Μ. (2022) · Polskie Archiwum Medycyny Wewnętrznej · doi:10.20452/pamw.16342 · Cited by 23
Liang, R., Yu, L., Liu, W., Dong, C., Tan, Q., Wang, M., Ye, Z., Zhang, Y., Li, M., Wang, B., et al. (2022) · Environmental Pollution · doi:10.1016/j.envpol.2022.120352 · Cited by 21
Salehidoost, R., Boroujeni, G. T., Feizi, A., Aminorroaya, A., & Amini, M. (2022) · Scientific Reports · doi:10.1038/s41598-022-20277-6 · Cited by 22
New methods for the diagnosis and monitoring of cognitive function in patients with type 2 diabetes
Ciudin, A., & Simó, R. (2022) · Frontiers in Endocrinology · doi:10.3389/fendo.2022.1024794 · Cited by 20
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
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.
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