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For: Richter B, Hemmingsen B, Metzendorf MI, Takwoingi Y. Development of type 2 diabetes mellitus in people with intermediate hyperglycaemia.Cochrane Database Syst Rev. 2018;10:CD012661. [PMID: 30371961 DOI: 10.1002/14651858.CD012661.pub2] [Cited by in Crossref: 12] [Cited by in F6Publishing: 19] [Article Influence: 3.0] [Reference Citation Analysis]
Number Citing Articles
1 Hanttu A, Kauppinen KJ, Kivelä P, Ollgren J, Jousilahti P, Liitsola K, Koponen P, Sutinen J. Prevalence of obesity and disturbances in glucose homeostasis in HIV-infected subjects and general population - missed diagnoses of diabetes? HIV Med 2021;22:244-53. [PMID: 33169536 DOI: 10.1111/hiv.13009] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
2 Lee CMY, Colagiuri S, Woodward M, Gregg EW, Adams R, Azizi F, Gabriel R, Gill TK, Gonzalez C, Hodge A, Jacobs Jr DR Jr, Joseph JJ, Khalili D, Magliano DJ, Mehlig K, Milne R, Mishra G, Mongraw-Chaffin M, Pasco JA, Sakurai M, Schreiner PJ, Selvin E, Shaw JE, Wittert G, Yatsuya H, Huxley RR. Comparing different definitions of prediabetes with subsequent risk of diabetes: an individual participant data meta-analysis involving 76 513 individuals and 8208 cases of incident diabetes. BMJ Open Diabetes Res Care 2019;7:e000794. [PMID: 31908797 DOI: 10.1136/bmjdrc-2019-000794] [Cited by in Crossref: 8] [Cited by in F6Publishing: 9] [Article Influence: 2.7] [Reference Citation Analysis]
3 Davidson MB. Historical Review of the Diagnosis of Prediabetes/Intermediate Hyperglycemia: Case for the International Criteria. Diabetes Research and Clinical Practice 2022. [DOI: 10.1016/j.diabres.2022.109219] [Reference Citation Analysis]
4 Ngo A, Froessl L, McWhorter JW, Perkison WB, Katta R. Diabetes Detection and Prevention in Dermatology. Dermatol Pract Concept 2021;11:e2021131. [PMID: 34631273 DOI: 10.5826/dpc.1104a131] [Reference Citation Analysis]
5 Bennasar-Veny M, Fresneda S, López-González A, Busquets-Cortés C, Aguiló A, Yañez AM. Lifestyle and Progression to Type 2 Diabetes in a Cohort of Workers with Prediabetes. Nutrients 2020;12:E1538. [PMID: 32466178 DOI: 10.3390/nu12051538] [Cited by in Crossref: 6] [Cited by in F6Publishing: 7] [Article Influence: 3.0] [Reference Citation Analysis]
6 Damen JAAG, Hooft L. The increasing need for systematic reviews of prognosis studies: strategies to facilitate review production and improve quality of primary research. Diagn Progn Res 2019;3:2. [PMID: 31093572 DOI: 10.1186/s41512-019-0049-6] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 1.7] [Reference Citation Analysis]
7 Neves JS, Correa S, Baeta Baptista R, Bigotte Vieira M, Waikar SS, Mc Causland FR. Association of Prediabetes With CKD Progression and Adverse Cardiovascular Outcomes: An Analysis of the CRIC Study. J Clin Endocrinol Metab 2020;105:dgaa017. [PMID: 31943096 DOI: 10.1210/clinem/dgaa017] [Cited by in Crossref: 5] [Cited by in F6Publishing: 6] [Article Influence: 5.0] [Reference Citation Analysis]
8 Udler MS. Identifying subgroups of people at risk for type 2 diabetes. Nat Med 2021;27:23-5. [PMID: 33442006 DOI: 10.1038/s41591-020-01208-2] [Reference Citation Analysis]
9 Castela Forte J, Folkertsma P, Gannamani R, Kumaraswamy S, Mount S, de Koning TJ, van Dam S, Wolffenbuttel BHR. Development and Validation of Decision Rules Models to Stratify Coronary Artery Disease, Diabetes, and Hypertension Risk in Preventive Care: Cohort Study of Returning UK Biobank Participants. J Pers Med 2021;11:1322. [PMID: 34945794 DOI: 10.3390/jpm11121322] [Reference Citation Analysis]
10 Duan D, Kengne AP, Echouffo-Tcheugui JB. Screening for Diabetes and Prediabetes. Endocrinol Metab Clin North Am 2021;50:369-85. [PMID: 34399951 DOI: 10.1016/j.ecl.2021.05.002] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
11 Rodgers LR, Hill AV, Dennis JM, Craig Z, May B, Hattersley AT, McDonald TJ, Andrews RC, Jones A, Shields BM. Choice of HbA1c threshold for identifying individuals at high risk of type 2 diabetes and implications for diabetes prevention programmes: a cohort study. BMC Med 2021;19:184. [PMID: 34412655 DOI: 10.1186/s12916-021-02054-w] [Reference Citation Analysis]
12 Thamakaison S, Anothaisintawee T, Sukhato K, Unwanatham N, Rattanasiri S, Reutrakul S, Thakkinstian A. Hemoglobin A1c in combination with fasting plasma glucose trumps fasting plasma glucose alone as predictive indicators for diabetes mellitus: an ambidirectional cohort study of Thai people with impaired fasting glucose. BMJ Open Diabetes Res Care 2021;9:e002427. [PMID: 34845059 DOI: 10.1136/bmjdrc-2021-002427] [Reference Citation Analysis]
13 Ipsen EØ, Madsen KS, Chi Y, Pedersen-Bjergaard U, Richter B, Metzendorf MI, Hemmingsen B. Pioglitazone for prevention or delay of type 2 diabetes mellitus and its associated complications in people at risk for the development of type 2 diabetes mellitus. Cochrane Database Syst Rev 2020;11:CD013516. [PMID: 33210751 DOI: 10.1002/14651858.CD013516.pub2] [Cited by in Crossref: 3] [Article Influence: 1.5] [Reference Citation Analysis]
14 Adusei-Mensah F, Tikkanen-Kaukanen C, Kauhanen J, Henneh IT, Owusu Agyei PE, Akakpo PK, Ekor M. Sub-chronic toxicity evaluation of top three commercial herbal antimalarial preparations in the Kumasi metropolis, Ghana. Biosci Rep 2020;40:BSR20192536. [PMID: 32420605 DOI: 10.1042/BSR20192536] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
15 You YB, Zhou H, Han J, Zhu YH, Zan D, Zhang QY. Anthropometry did not approach adequate predictive accuracies for detecting elevated fasting plasma glucose or hemoglobin A1c levels among Chinese children aged 7-9 years. J Diabetes Investig 2021;12:781-9. [PMID: 32881410 DOI: 10.1111/jdi.13395] [Reference Citation Analysis]
16 Benhalima K, Van Crombrugge P, Moyson C, Verhaeghe J, Vandeginste S, Verlaenen H, Vercammen C, Maes T, Dufraimont E, De Block C, Jacquemyn Y, Mekahli F, De Clippel K, Van Den Bruel A, Loccufier A, Laenen A, Minschart C, Devlieger R, Mathieu C. Prediction of Glucose Intolerance in Early Postpartum in Women with Gestational Diabetes Mellitus Based on the 2013 WHO Criteria. J Clin Med 2019;8:E383. [PMID: 30893935 DOI: 10.3390/jcm8030383] [Cited by in Crossref: 9] [Cited by in F6Publishing: 9] [Article Influence: 3.0] [Reference Citation Analysis]
17 Tu Z, Lu Q, Zhang Y, Shu Z, Lai Y, Ma M, Xia P, Geng T, Chen J, Li Y, Wu L, Ouyang J, Rong Z, Ding X, Han X, Chen S, He M, Zhang X, Liu L, Wu T, Wu S, Liu G, Pan A. Associations of Combined Healthy Lifestyle Factors with Risks of Diabetes, Cardiovascular Disease, Cancer, and Mortality Among Adults with Prediabetes: Four Prospective Cohort Studies in China, the United Kingdom, and the United States. Engineering 2022. [DOI: 10.1016/j.eng.2022.04.010] [Reference Citation Analysis]
18 Benhalima K, Ma DD, Laenen A, Mathieu C, Halperin JA. Plasma glycated CD59 predicts postpartum glucose intolerance after gestational diabetes. Eur J Endocrinol 2021;185:755-63. [PMID: 34524975 DOI: 10.1530/EJE-21-0635] [Reference Citation Analysis]
19 Lim WXJ, Gammon CS, von Hurst P, Chepulis L, Page RA. A Narrative Review of Human Clinical Trials on the Impact of Phenolic-Rich Plant Extracts on Prediabetes and Its Subgroups. Nutrients 2021;13:3733. [PMID: 34835989 DOI: 10.3390/nu13113733] [Reference Citation Analysis]
20 Arredouani A. Greater and More Focused Measures Are Needed to Tackle Diabetes and Obesity Epidemics in the Nations of the Gulf Cooperation Council. Int J Endocrinol 2021;2021:6661346. [PMID: 33833799 DOI: 10.1155/2021/6661346] [Reference Citation Analysis]
21 Echouffo-Tcheugui JB, Selvin E. Prediabetes and What It Means: The Epidemiological Evidence. Annu Rev Public Health 2021;42:59-77. [PMID: 33355476 DOI: 10.1146/annurev-publhealth-090419-102644] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
22 Li L, Wang Z, Ruan H, Zhang M, Zhou L, Wei X, Zhu Y, Wei J, Chen X, He S. New metabolic health definition might not be a reliable predictor for diabetes in the nonobese Chinese population. Diabetes Research and Clinical Practice 2022. [DOI: 10.1016/j.diabres.2022.109213] [Reference Citation Analysis]
23 Barbu E, Popescu MR, Popescu AC, Balanescu SM. Phenotyping the Prediabetic Population-A Closer Look at Intermediate Glucose Status and Cardiovascular Disease. Int J Mol Sci 2021;22:6864. [PMID: 34202289 DOI: 10.3390/ijms22136864] [Reference Citation Analysis]
24 Rungrueang K, Yuma S, Tantipoj C, Khovidhunkit SP, Fuangtharnthip P, Thuramonwong T, Suwattipong M, Supa-Amornkul S. Oral Bacterial Microbiomes in Association with Potential Prediabetes Using Different Criteria of Diagnosis. Int J Environ Res Public Health 2021;18:7436. [PMID: 34299886 DOI: 10.3390/ijerph18147436] [Reference Citation Analysis]
25 Nicholls J. Perspective: The Glycemic Index Falls Short as a Carbohydrate Food Quality Indicator to Improve Diet Quality. Front Nutr 2022;9:896333. [DOI: 10.3389/fnut.2022.896333] [Reference Citation Analysis]
26 El-Kebbi IM, Bidikian NH, Hneiny L, Nasrallah MP. Epidemiology of type 2 diabetes in the Middle East and North Africa: Challenges and call for action. World J Diabetes 2021; 12(9): 1401-1425 [PMID: 34630897 DOI: 10.4239/wjd.v12.i9.1401] [Reference Citation Analysis]
27 Busquets-Cortés C, Bennasar-Veny M, López-González ÁA, Fresneda S, Abbate M, Yáñez AM. Utility of Fatty Liver Index to predict reversion to normoglycemia in people with prediabetes. PLoS One 2021;16:e0249221. [PMID: 33822783 DOI: 10.1371/journal.pone.0249221] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
28 Schlesinger S, Neuenschwander M, Barbaresko J, Lang A, Maalmi H, Rathmann W, Roden M, Herder C. Prediabetes and risk of mortality, diabetes-related complications and comorbidities: umbrella review of meta-analyses of prospective studies. Diabetologia 2021. [PMID: 34718834 DOI: 10.1007/s00125-021-05592-3] [Reference Citation Analysis]
29 Vistisen D, Kivimäki M, Perreault L, Hulman A, Witte DR, Brunner EJ, Tabák A, Jørgensen ME, Færch K. Reversion from prediabetes to normoglycaemia and risk of cardiovascular disease and mortality: the Whitehall II cohort study. Diabetologia 2019;62:1385-90. [PMID: 31123789 DOI: 10.1007/s00125-019-4895-0] [Cited by in Crossref: 20] [Cited by in F6Publishing: 16] [Article Influence: 6.7] [Reference Citation Analysis]