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For: Heianza Y, Hara S, Arase Y, Saito K, Fujiwara K, Tsuji H, Kodama S, Hsieh SD, Mori Y, Shimano H. HbA1c 5.7-6.4% and impaired fasting plasma glucose for diagnosis of prediabetes and risk of progression to diabetes in Japan (TOPICS 3): a longitudinal cohort study. Lancet. 2011;378:147-155. [PMID: 21705064 DOI: 10.1016/s0140-6736(11)60472-8] [Cited by in Crossref: 163] [Cited by in F6Publishing: 174] [Article Influence: 14.8] [Reference Citation Analysis]
Number Citing Articles
1 Fan J, Lyu Y, Zhang Q, Wang X, Li M, Xiao R. MuSiC2: cell-type deconvolution for multi-condition bulk RNA-seq data. Brief Bioinform 2022:bbac430. [PMID: 36208175 DOI: 10.1093/bib/bbac430] [Reference Citation Analysis]
2 Washirasaksiri C, Srivanichakorn W, Borrisut N, Sitasuwan T, Tinmanee R, Kositamongkol C, Ariyakunaphan P, Auesomwang C, Sayabovorn N, Chaisathaphol T, Phisalprapa P. Fasting plasma glucose and HbA1c levels predict the risk of type 2 diabetes and diabetic retinopathy in a Thai high-risk population with prediabetes. Front Pharmacol 2022;13:950225. [DOI: 10.3389/fphar.2022.950225] [Reference Citation Analysis]
3 Sun Y, Wang Z, Huang Z, Hu H, Han Y. The Association Between the Triglyceride-to-High-Density Lipoprotein Cholesterol Ratio and the Risk of Progression to Diabetes From Prediabetes: A 5-year Cohort Study in Chinese Adults. Front Endocrinol 2022;13:947157. [DOI: 10.3389/fendo.2022.947157] [Reference Citation Analysis]
4 Li Z, Zhang Y, Hoene M, Fritsche L, Zheng S, Birkenfeld A, Fritsche A, Peter A, Liu X, Zhao X, Zhou L, Luo P, Weigert C, Lin X, Xu G, Lehmann R. Diagnostic Performance of Sex-Specific Modified Metabolite Patterns in Urine for Screening of Prediabetes. Front Endocrinol 2022;13:935016. [DOI: 10.3389/fendo.2022.935016] [Reference Citation Analysis]
5 Bliudzius A, Svaikeviciene K, Puronaite R, Kasiulevicius V. Physical Activity Evaluation Using Activity Trackers for Type 2 Diabetes Prevention in Patients with Prediabetes. Int J Environ Res Public Health 2022;19:8251. [PMID: 35886100 DOI: 10.3390/ijerph19148251] [Reference Citation Analysis]
6 Jia X, Wang A, Yang L, Cheng Y, Wang Y, Ba J, Dou J, Mu Y, Zhao D, Lyu Z. Clinical Significance of Lifetime Maximum Body Mass Index in Predicting the Development of T2DM: A Prospective Study in Beijing. Front Endocrinol (Lausanne) 2022;13:839195. [PMID: 35721732 DOI: 10.3389/fendo.2022.839195] [Reference Citation Analysis]
7 Bashkinov RA, Batluk TI, Melnikov ES, Trubnikova MA, Arutyunov AG. Influence of metabolic disorders on the development of renal pathology. jour 2022;3:7-18. [DOI: 10.21886/2712-8156-2022-3-2-7-18] [Reference Citation Analysis]
8 Fan J, Lyu Y, Zhang Q, Wang X, Li M, Xiao R. MuSiC2: cell type deconvolution for multi-condition bulk RNA-seq data.. [DOI: 10.1101/2022.05.08.491077] [Reference Citation Analysis]
9 Guo Q, Feng X, Zhang B, Zhai G, Yang J, Liu Y, Liu Y, Shi D, Zhou Y. Influence of the Triglyceride-Glucose Index on Adverse Cardiovascular and Cerebrovascular Events in Prediabetic Patients With Acute Coronary Syndrome. Front Endocrinol (Lausanne) 2022;13:843072. [PMID: 35295991 DOI: 10.3389/fendo.2022.843072] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 4.0] [Reference Citation Analysis]
10 Lieb W, de Oliveira CM, Pan S, Echouffo-tcheugui JB, Weber KS, Vasan RS, Xanthakis V. Clinical correlates of plasma insulin levels over the life course and association with incident type 2 diabetes: the Framingham Heart Study. BMJ Open Diab Res Care 2022;10:e002581. [DOI: 10.1136/bmjdrc-2021-002581] [Reference Citation Analysis]
11 Kim EM, Kim SS, Chung YJ. Lowering of Blood Glucose Levels with the Peptide Mixture Deglusterol in In Vitro and In Vivo Models. J Med Food 2022;25:166-76. [PMID: 35148196 DOI: 10.1089/jmf.2021.K.0159] [Reference Citation Analysis]
12 Furukawa T, Nishida Y, Hara M, Shimanoe C, Koga K, Iwasaka C, Higaki Y, Tanaka K, Nakashima R, Ikezaki H, Hishida A, Tamura T, Kato Y, Tamada Y, Matsuo K, Ito H, Mikami H, Kusakabe M, Ibusuki R, Shibuya K, Suzuki S, Nakagawa-Senda H, Ozaki E, Matsui D, Kuriki K, Nakamura Y, Kadota A, Arisawa K, Katsuura-Kamano S, Takeuchi K, Wakai K; Japan Multi-Institutional Collaborative Cohort (J-MICC) Study Group. Effect of the interaction between physical activity and estimated macronutrient intake on HbA1c: population-based cross-sectional and longitudinal studies. BMJ Open Diabetes Res Care 2022;10:e002479. [PMID: 34980592 DOI: 10.1136/bmjdrc-2021-002479] [Reference Citation Analysis]
13 Ekun OA, Oyekunle AO, Igbadumhe CO. Evaluation of peroxisome proliferator-activated receptor-gamma (Ppar-γ) and metabolic dysfunction among hypertensive nigerians. Endocrine and Metabolic Science 2021;5:100108. [DOI: 10.1016/j.endmts.2021.100108] [Reference Citation Analysis]
14 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] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
15 Lötsch J, Hähner A, Schwarz PEH, Tselmin S, Hummel T. Machine Learning Refutes Loss of Smell as a Risk Indicator of Diabetes Mellitus. J Clin Med 2021;10:4971. [PMID: 34768493 DOI: 10.3390/jcm10214971] [Reference Citation Analysis]
16 Kitazawa A, Maeda S, Fukuda Y. Fatty liver index as a predictive marker for the development of diabetes: A retrospective cohort study using Japanese health check-up data. PLoS One 2021;16:e0257352. [PMID: 34543321 DOI: 10.1371/journal.pone.0257352] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
17 Drapkina OM, Karamnova NS, Kontsevaya AV, Gorny BE, Dadaeva VA, Drozdova LY, Yeganyan RA, Eliashevich SO, Izmailova OV, Lavrenova EA, Lischenko OV, Skripnikova IA, Shvabskaya OB, Shishkova VN. Russian Society for the Prevention of Noncommunicable Diseases (ROPNIZ). Alimentary-dependent risk factors for chronic non-communicable diseases and eating habits: dietary correction within the framework of preventive counseling. Methodological Guidelines. Cardiovasc Ther Prev 2021;20:2952. [DOI: 10.15829/1728-8800-2021-2952] [Cited by in Crossref: 6] [Cited by in F6Publishing: 1] [Article Influence: 6.0] [Reference Citation Analysis]
18 Gandhi A, Masand V, Zaki MEA, Al-Hussain SA, Ghorbal AB, Chapolikar A. QSAR analysis of sodium glucose co-transporter 2 (SGLT2) inhibitors for anti-hyperglycaemic lead development. SAR QSAR Environ Res 2021;32:731-44. [PMID: 34494464 DOI: 10.1080/1062936X.2021.1971295] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
19 Latif R, Rafique N. Prevalence and Risk Factors of Prediabetes in Young Saudi Females in a University Setting. Ethiop J Health Sci 2020;30:929-40. [PMID: 33883838 DOI: 10.4314/ejhs.v30i6.11] [Reference Citation Analysis]
20 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] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
21 van Herpt TTW, Ligthart S, Leening MJG, van Hoek M, Lieverse AG, Ikram MA, Sijbrands EJG, Dehghan A, Kavousi M. Lifetime risk to progress from pre-diabetes to type 2 diabetes among women and men: comparison between American Diabetes Association and World Health Organization diagnostic criteria. BMJ Open Diabetes Res Care 2020;8:e001529. [PMID: 33214188 DOI: 10.1136/bmjdrc-2020-001529] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 5.0] [Reference Citation Analysis]
22 Feng X, Yang Y, Zhuang S, Fang Y, Dai Y, Fu Y, Hu Q, Yuan Q, Tang H, Tang L. Influence of Serum Albumin on HbA1c and HbA1c-Defined Glycemic Status: A Retrospective Study. Front Med (Lausanne) 2021;8:583093. [PMID: 34055818 DOI: 10.3389/fmed.2021.583093] [Reference Citation Analysis]
23 Li GY, Li HY, Li Q. Use of glycated albumin for the identification of diabetes in subjects from northeast China. World J Diabetes 2021; 12(2): 149-157 [PMID: 33594334 DOI: 10.4239/wjd.v12.i2.149] [Cited by in CrossRef: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
24 Xu XY, Leung AYM, Smith R, Wong JYH, Chau PH, Fong DYT. The relative risk of developing type 2 diabetes among individuals with prediabetes compared with individuals with normoglycaemia: Meta‐analysis and meta‐regression. J Adv Nurs 2020;76:3329-3345. [DOI: 10.1111/jan.14557] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
25 Kumar S, Anand A, Nagarathna R, Kaur N, Sivapuram MS, Pannu V, Pal DK, Malik N, Singh AK, Nagendra HR. Prevalence of prediabetes, and diabetes in Chandigarh and Panchkula region based on glycated haemoglobin and Indian diabetes risk score. Endocrinol Diabetes Metab 2021;4:e00162. [PMID: 33532605 DOI: 10.1002/edm2.162] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]
26 Sasayama K, Gilmour S, Oyama T, Hiroe H, Tsuchiya M, Uno I, Okuyama E, Ota E. Risk factors for pre-diabetes in Japanese workers on long-term overseas assignments: A retrospective cohort study. Obesity Medicine 2020;19:100235. [DOI: 10.1016/j.obmed.2020.100235] [Reference Citation Analysis]
27 Romeo GR, Lee J, Mulla CM, Noh Y, Holden C, Lee BC. Influence of Cinnamon on Glycemic Control in Individuals With Prediabetes: A Randomized Controlled Trial. J Endocr Soc 2020;4:bvaa094. [PMID: 33123653 DOI: 10.1210/jendso/bvaa094] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 2.0] [Reference Citation Analysis]
28 Bergman M, Abdul-Ghani M, DeFronzo RA, Manco M, Sesti G, Fiorentino TV, Ceriello A, Rhee M, Phillips LS, Chung S, Cravalho C, Jagannathan R, Monnier L, Colette C, Owens D, Bianchi C, Del Prato S, Monteiro MP, Neves JS, Medina JL, Macedo MP, Ribeiro RT, Filipe Raposo J, Dorcely B, Ibrahim N, Buysschaert M. Review of methods for detecting glycemic disorders. Diabetes Res Clin Pract 2020;165:108233. [PMID: 32497744 DOI: 10.1016/j.diabres.2020.108233] [Cited by in Crossref: 67] [Cited by in F6Publishing: 70] [Article Influence: 33.5] [Reference Citation Analysis]
29 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: 10] [Cited by in F6Publishing: 14] [Article Influence: 5.0] [Reference Citation Analysis]
30 Gabriel R, Boukichou Abdelkader N, Acosta T, Gilis-Januszewska A, Gómez-Huelgas R, Makrilakis K, Kamenov Z, Paulweber B, Satman I, Djordjevic P, Alkandari A, Mitrakou A, Lalic N, Colagiuri S, Lindström J, Egido J, Natali A, Pastor JC, Teuschl Y, Lind M, Silva L, López-Ridaura R, Tuomilehto J; e-PREDICE Consortium. Early prevention of diabetes microvascular complications in people with hyperglycaemia in Europe. ePREDICE randomized trial. Study protocol, recruitment and selected baseline data. PLoS One 2020;15:e0231196. [PMID: 32282852 DOI: 10.1371/journal.pone.0231196] [Cited by in Crossref: 18] [Cited by in F6Publishing: 18] [Article Influence: 9.0] [Reference Citation Analysis]
31 Ruijgrok C, Blaak EE, Egli L, Dussort P, Vinoy S, Rauh SP, Beulens JW, Robertson MD, Alssema M. Reducing postprandial glucose in dietary intervention studies and the magnitude of the effect on diabetes-related risk factors: a systematic review and meta-analysis. Eur J Nutr 2021;60:259-73. [PMID: 32277270 DOI: 10.1007/s00394-020-02240-1] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 2.5] [Reference Citation Analysis]
32 Kaneko K, Yatsuya H, Li Y, Uemura M, Chiang C, Hirakawa Y, Ota A, Tamakoshi K, Aoyama A. Risk and population attributable fraction of metabolic syndrome and impaired fasting glucose for the incidence of type 2 diabetes mellitus among middle-aged Japanese individuals: Aichi Worker's Cohort Study. J Diabetes Investig 2020;11:1163-9. [PMID: 32022993 DOI: 10.1111/jdi.13230] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 3.0] [Reference Citation Analysis]
33 Fazli GS, Moineddin R, Bierman AS, Booth GL. Ethnic variation in the conversion of prediabetes to diabetes among immigrant populations relative to Canadian-born residents: a population-based cohort study. BMJ Open Diabetes Res Care 2020;8:e000907. [PMID: 32071198 DOI: 10.1136/bmjdrc-2019-000907] [Cited by in Crossref: 7] [Cited by in F6Publishing: 7] [Article Influence: 3.5] [Reference Citation Analysis]
34 Manda CM, Hokimoto T, Okura T, Isoda H, Shimano H, Wagatsuma Y. Handgrip strength predicts new prediabetes cases among adults: A prospective cohort study. Prev Med Rep 2020;17:101056. [PMID: 32071846 DOI: 10.1016/j.pmedr.2020.101056] [Cited by in Crossref: 11] [Cited by in F6Publishing: 12] [Article Influence: 5.5] [Reference Citation Analysis]
35 Itabashi C, Mizukami H, Osonoi S, Takahashi K, Kudo K, Wada K, Inaba W, Danyang G, Uchida C, Umetsu S, Igawa A, Ogasawara S, Ryuzaki M, Komeda K, Ishibashi Y, Yagihashi S, Nakaji S. Normal High HbA1c a Risk Factor for Abnormal Pain Threshold in the Japanese Population. Front Endocrinol (Lausanne) 2019;10:651. [PMID: 31632344 DOI: 10.3389/fendo.2019.00651] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 2.0] [Reference Citation Analysis]
36 Na JC, Yoon MG, Lee HH, Yoon YE, Kim DG, Huh KH, Kim YS, Han WK. Utilization of HbA1c in Screening Living Kidney Donors With Prediabetes. Transplant Proc 2019;51:2527-32. [PMID: 31473010 DOI: 10.1016/j.transproceed.2019.03.082] [Cited by in Crossref: 2] [Article Influence: 0.7] [Reference Citation Analysis]
37 Rodriguez-Segade S, Rodriguez J, Camiña F, Sanmartín-Portas L, Gerpe-Jamardo J, Pazos-Couselo M, García-López JM, Alonso-Sampedro M, González-Quintela A, Gude F. Prediabetes defined by HbA1c and by fasting glucose: differences in risk factors and prevalence. Acta Diabetol 2019;56:1023-30. [PMID: 31115752 DOI: 10.1007/s00592-019-01342-5] [Cited by in Crossref: 7] [Cited by in F6Publishing: 6] [Article Influence: 2.3] [Reference Citation Analysis]
38 Florentin M, Liberopoulos E, Elisaf MS, Tsimihodimos V. No effect of fenugreek, bergamot and olive leaf extract on glucose homeostasis in patients with prediabetes: a randomized double-blind placebo-controlled study. Arch Med Sci Atheroscler Dis 2019;4:e162-6. [PMID: 31448348 DOI: 10.5114/amsad.2019.86756] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 0.7] [Reference Citation Analysis]
39 Wang F, Ge H, Su X, Wang R, Zeng J, Miao J. High HbA1c level is correlated with blood-brain barrier disruption in syphilis patients. Neurol Sci 2020;41:83-90. [PMID: 31440863 DOI: 10.1007/s10072-019-04031-x] [Cited by in Crossref: 2] [Article Influence: 0.7] [Reference Citation Analysis]
40 Chen L, Pocobelli G, Yu O, Shortreed SM, Osmundson SS, Fuller S, Wartko PD, Mcculloch D, Warwick S, Newton KM, Dublin S. Early Pregnancy Hemoglobin A1C and Pregnancy Outcomes: A Population-Based Study. Am J Perinatol 2019;36:1045-53. [PMID: 30500961 DOI: 10.1055/s-0038-1675619] [Cited by in Crossref: 16] [Cited by in F6Publishing: 13] [Article Influence: 5.3] [Reference Citation Analysis]
41 Al-Zahrani JM, Aldiab A, Aldossari KK, Al-Ghamdi S, Batais MA, Javad S, Nooruddin S, Zahid N, Razzak HA, El-Metwally A. Prevalence of Prediabetes, Diabetes and Its Predictors among Females in Alkharj, Saudi Arabia: A Cross-Sectional Study. Ann Glob Health 2019;85:109. [PMID: 31348623 DOI: 10.5334/aogh.2467] [Cited by in Crossref: 9] [Cited by in F6Publishing: 10] [Article Influence: 3.0] [Reference Citation Analysis]
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44 Numata Y, Ohya T, Nitta Y, Yoshinaka Y, Shogakiuchi A, Toyota A. Repetition of Prediabetes Enhances the Risk of Developing Diabetes. J Diabetes Res 2019;2019:4916546. [PMID: 30993116 DOI: 10.1155/2019/4916546] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.7] [Reference Citation Analysis]
45 Živković M, Tönjes A, Baber R, Wirkner K, Loeffler M, Engel C. Prevalence of moderately increased albuminuria among individuals with normal HbA1c level but impaired glucose tolerance: Results from the LIFE-Adult-Study. Endocrinol Diabetes Metab 2018;1:e00030. [PMID: 30815561 DOI: 10.1002/edm2.30] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
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47 Sharma S, Drane M. PREDIABETES AND THE NEED FOR CARDIOVASCULAR RISK ASSESSMENT IN AVIATION. Journal of the Australasian Society of Aerospace Medicine 2018;10:1-7. [DOI: 10.21307/asam-2018-007] [Reference Citation Analysis]
48 Srivanichakorn W, Godsland IF, Washirasaksiri C, Phisalprapa P, Charatcharoenwitthaya P, Pramyothin P, Sitasuwan T, Preechasuk L, Elkeles R, Alberti KGM, Johnston DG, Oliver NS. Cardiometabolic risk factors in Thai individuals with prediabetes treated in a high-risk, prevention clinic: Unexpected relationship between high-density lipoprotein cholesterol and glycemia in men. J Diabetes Investig 2019;10:771-9. [PMID: 30387292 DOI: 10.1111/jdi.12967] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]
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53 Liang K, Wang C, Yan F, Wang L, He T, Zhang X, Li C, Yang W, Ma Z, Ma A, Hou X, Chen L. HbA1c Cutoff Point of 5.9% Better Identifies High Risk of Progression to Diabetes among Chinese Adults: Results from a Retrospective Cohort Study. J Diabetes Res 2018;2018:7486493. [PMID: 30009184 DOI: 10.1155/2018/7486493] [Cited by in Crossref: 7] [Cited by in F6Publishing: 7] [Article Influence: 1.8] [Reference Citation Analysis]
54 Aldossari KK, Aldiab A, Al-Zahrani JM, Al-Ghamdi SH, Abdelrazik M, Batais MA, Javad S, Nooruddin S, Razzak HA, El-Metwally A. Prevalence of Prediabetes, Diabetes, and Its Associated Risk Factors among Males in Saudi Arabia: A Population-Based Survey. J Diabetes Res 2018;2018:2194604. [PMID: 29850599 DOI: 10.1155/2018/2194604] [Cited by in Crossref: 28] [Cited by in F6Publishing: 34] [Article Influence: 7.0] [Reference Citation Analysis]
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57 Mainous AG 3rd, Tanner RJ, Jo A, Anton SD. Prevalence of Prediabetes and Abdominal Obesity Among Healthy-Weight Adults: 18-Year Trend. Ann Fam Med 2016;14:304-10. [PMID: 27401417 DOI: 10.1370/afm.1946] [Cited by in Crossref: 33] [Cited by in F6Publishing: 36] [Article Influence: 6.6] [Reference Citation Analysis]
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