BPG is committed to discovery and dissemination of knowledge
Cited by in F6Publishing
For: Nguyen TT, Wang JJ, Wong TY. Retinal vascular changes in pre-diabetes and prehypertension: new findings and their research and clinical implications. Diabetes Care. 2007;30:2708-2715. [PMID: 17595350 DOI: 10.2337/dc07-0732] [Cited by in Crossref: 166] [Cited by in F6Publishing: 172] [Article Influence: 11.1] [Reference Citation Analysis]
Number Citing Articles
1 Song Y, Zhou Z, Liu H, Du R, Zhou Y, Zhu S, Chen S. Tortuosity of branch retinal artery is more associated with the genesis and progress of diabetic retinopathy. Front Endocrinol 2022;13:972339. [DOI: 10.3389/fendo.2022.972339] [Reference Citation Analysis]
2 Lakshmi K, Shetty K, Lobo S, Vivekanad U. Correlation of serum D-dimer levels with stages of diabetic retinopathy and gycosylated hemoglobin levels. IJCEO 2022;8:245-249. [DOI: 10.18231/j.ijceo.2022.049] [Reference Citation Analysis]
3 Muzammil N, Shah SAA, Shahzad A, Khan MA, Ghoniem RM. Multifilters-Based Unsupervised Method for Retinal Blood Vessel Segmentation. Applied Sciences 2022;12:6393. [DOI: 10.3390/app12136393] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
4 Yao J, Wu XY, Yu Q, Yang SF, Yuan J, Zhang ZQ, Xue JS, Jiang Q, Chen MB, Xue GH, Cao C. The requirement of phosphoenolpyruvate carboxykinase 1 for angiogenesis in vitro and in vivo. Sci Adv 2022;8:eabn6928. [PMID: 35622925 DOI: 10.1126/sciadv.abn6928] [Reference Citation Analysis]
5 Kirthi V, Nderitu P, Alam U, Evans JR, Nevitt S, Malik RA, Hopkins D, Jackson TL. The prevalence of retinopathy in prediabetes: A systematic review. Survey of Ophthalmology 2022. [DOI: 10.1016/j.survophthal.2022.04.002] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
6 Cheung CY, Biousse V, Keane PA, Schiffrin EL, Wong TY. Hypertensive eye disease. Nat Rev Dis Primers 2022;8:14. [PMID: 35273180 DOI: 10.1038/s41572-022-00342-0] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 3.0] [Reference Citation Analysis]
7 Yoon S, Wee S, Loh DHF, Bee YM, Thumboo J. Facilitators and Barriers to Uptake of Community-Based Diabetes Prevention Program Among Multi-Ethnic Asian Patients With Prediabetes. Front Endocrinol 2022;13:816385. [DOI: 10.3389/fendo.2022.816385] [Reference Citation Analysis]
8 Ojha A, Watve M. Hyperglycemia in type 2 diabetes: physiological and clinical implications of a brain centered model.. [DOI: 10.1101/2022.01.19.477014] [Reference Citation Analysis]
9 Remeseiro B, Bolón-canedo V. Case Studies to Demonstrate Real-World Applications in Ophthalmic Image Analysis. Handbook of Artificial Intelligence in Healthcare 2022. [DOI: 10.1007/978-3-030-79161-2_4] [Reference Citation Analysis]
10 Rajalakshmi R, Umasankari G, Sivaprasad S, Venkatesan U, Kumpatla S, Shanthirani CS, Viswanathan V, Mohan V. Prevalence and risk factors for diabetic retinopathy in prediabetes in Asian Indians. Journal of Diabetes and its Complications 2022. [DOI: 10.1016/j.jdiacomp.2022.108131] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
11 Warmke N, Platt F, Bruns AF, Ozber CH, Haywood NJ, Abudushalamu Y, Slater C, Palin V, Sukumar P, Wheatcroft SB, Yuldasheva NY, Kearney MT, Griffin KJ, Cubbon RM. Pericyte Insulin Receptors Modulate Retinal Vascular Remodeling and Endothelial Angiopoietin Signaling. Endocrinology 2021;162:bqab182. [PMID: 34460911 DOI: 10.1210/endocr/bqab182] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
12 Crasto W, Patel V, Davies MJ, Khunti K. Prevention of Microvascular Complications of Diabetes. Endocrinol Metab Clin North Am 2021;50:431-55. [PMID: 34399955 DOI: 10.1016/j.ecl.2021.05.005] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 5.0] [Reference Citation Analysis]
13 Sardarinia M, Asgari S, Hizomi Arani R, Eskandari F, Azizi F, Khalili D, Hadaegh F. Incidence and risk factors of severe non-proliferative/proliferative diabetic retinopathy: More than a decade follow up in the Tehran Lipids and Glucose Study. J Diabetes Investig 2021. [PMID: 34403198 DOI: 10.1111/jdi.13647] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
14 Wang G, Li M, Yun Z, Duan Z, Ma K, Luo Z, Xiao P, Yuan J. A novel multiple subdivision-based algorithm for quantitative assessment of retinal vascular tortuosity. Exp Biol Med (Maywood) 2021;:15353702211032898. [PMID: 34308658 DOI: 10.1177/15353702211032898] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 3.0] [Reference Citation Analysis]
15 Yun J, Kim J, Jung S, Cha S, Ko S, Ahn Y, Won H, Sohn K, Kim D. A Deep Learning Model for Screening Type 2 Diabetes from Retinal Photographs.. [DOI: 10.1101/2021.06.29.21259606] [Reference Citation Analysis]
16 Sengupta B, Bhattacharjya H. Validation of Indian Diabetes Risk Score for Screening Prediabetes in West Tripura District of India. Indian J Community Med 2021;46:30-4. [PMID: 34035572 DOI: 10.4103/ijcm.IJCM_136_20] [Reference Citation Analysis]
17 Kalra S, Unnikrishnan AG, Baruah MP, Sahay R, Bantwal G. Metabolic and Energy Imbalance in Dysglycemia-Based Chronic Disease. Diabetes Metab Syndr Obes 2021;14:165-84. [PMID: 33488105 DOI: 10.2147/DMSO.S286888] [Cited by in Crossref: 9] [Cited by in F6Publishing: 10] [Article Influence: 9.0] [Reference Citation Analysis]
18 Frost S, Nolde JM, Chan J, Joyson A, Gregory C, Carnagarin R, Herat LY, Matthews VB, Robinson L, Vignarajan J, Prentice D, Kanagasingam Y, Schlaich MP. Retinal capillary rarefaction is associated with arterial and kidney damage in hypertension. Sci Rep 2021;11:1001. [PMID: 33441624 DOI: 10.1038/s41598-020-79594-3] [Cited by in Crossref: 7] [Cited by in F6Publishing: 8] [Article Influence: 7.0] [Reference Citation Analysis]
19 Kirthi V, Nderitu P, Alam U, Evans J, Nevitt S, Malik RA, Jackson TL. Prevalence of retinopathy in prediabetes: protocol for a systematic review and meta-analysis. BMJ Open 2021;11:e040997. [PMID: 33414145 DOI: 10.1136/bmjopen-2020-040997] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
20 Muhiddin HS, Panggalo I, Ichsan AM, Budu, Trucco E, Ellis J. Retinal vascular caliber changes after laser photocoagulation in diabetic retinopathy. Med J Indones 2020;29:366-71. [DOI: 10.13181/mji.oa.203806] [Reference Citation Analysis]
21 Kim TH, Le D, Son T, Yao X. Vascular morphology and blood flow signatures for differential artery-vein analysis in optical coherence tomography of the retina. Biomed Opt Express 2021;12:367-79. [PMID: 33520388 DOI: 10.1364/BOE.413149] [Cited by in Crossref: 7] [Cited by in F6Publishing: 8] [Article Influence: 3.5] [Reference Citation Analysis]
22 Baranowska-Jurkun A, Matuszewski W, Bandurska-Stankiewicz E. Chronic Microvascular Complications in Prediabetic States-An Overview. J Clin Med 2020;9:E3289. [PMID: 33066307 DOI: 10.3390/jcm9103289] [Cited by in Crossref: 7] [Cited by in F6Publishing: 8] [Article Influence: 3.5] [Reference Citation Analysis]
23 Cheung CY, Xu D, Cheng CY, Sabanayagam C, Tham YC, Yu M, Rim TH, Chai CY, Gopinath B, Mitchell P, Poulton R, Moffitt TE, Caspi A, Yam JC, Tham CC, Jonas JB, Wang YX, Song SJ, Burrell LM, Farouque O, Li LJ, Tan G, Ting DSW, Hsu W, Lee ML, Wong TY. A deep-learning system for the assessment of cardiovascular disease risk via the measurement of retinal-vessel calibre. Nat Biomed Eng 2021;5:498-508. [PMID: 33046867 DOI: 10.1038/s41551-020-00626-4] [Cited by in Crossref: 53] [Cited by in F6Publishing: 57] [Article Influence: 26.5] [Reference Citation Analysis]
24 Ling W, Huang Y, Huang YM, Shen J, Wang SH, Zhao HL. Pancreatic Angiopathy Associated With Islet Amyloid and Type 2 Diabetes Mellitus. Pancreas 2020;49:1232-9. [PMID: 33003086 DOI: 10.1097/MPA.0000000000001664] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
25 Choi JA, Park YM, Han K, Lee J, Yun JS, Ko SH. Fasting plasma glucose level and the risk of open angle glaucoma: Nationwide population-based cohort study in Korea. PLoS One 2020;15:e0239529. [PMID: 32966328 DOI: 10.1371/journal.pone.0239529] [Cited by in Crossref: 6] [Cited by in F6Publishing: 7] [Article Influence: 3.0] [Reference Citation Analysis]
26 Garvey SL, Khansari MM, Jiang X, Varma R, Shahidi M. Assessment of retinal vascular oxygenation and morphology at stages of diabetic retinopathy in African Americans. BMC Ophthalmol 2020;20:295. [PMID: 32682412 DOI: 10.1186/s12886-020-01566-y] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]
27 K.r. R, Giriprasad M. Blood Vessel Extraction in Low Contrast Fundus Images having Lesions under Diabetic conditions. 2020 7th International Conference on Smart Structures and Systems (ICSSS) 2020. [DOI: 10.1109/icsss49621.2020.9202080] [Reference Citation Analysis]
28 Lin GM, Colangelo LA, Klein BEK, Cotch MF, Wong TY, Cheung CY, Heckbert SR, Alonso A, Kwon Y, Kronmal RA, Lloyd-Jones DM, Liu K. Association of Retinal Microvascular Signs with Incident Atrial Fibrillation: The Multi-Ethnic Study of Atherosclerosis. Ophthalmol Retina 2021;5:78-85. [PMID: 32565383 DOI: 10.1016/j.oret.2020.06.019] [Reference Citation Analysis]
29 Phuphuakrat A, Nimitphong H, Reutrakul S, Sungkanuparph S. Prediabetes among HIV-infected individuals receiving antiretroviral therapy: prevalence, diagnostic tests, and associated factors. AIDS Res Ther 2020;17:25. [PMID: 32448349 DOI: 10.1186/s12981-020-00284-1] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
30 Chua J, Chin CWL, Hong J, Chee ML, Le TT, Ting DSW, Wong TY, Schmetterer L. Impact of hypertension on retinal capillary microvasculature using optical coherence tomographic angiography. J Hypertens 2019;37:572-80. [PMID: 30113530 DOI: 10.1097/HJH.0000000000001916] [Cited by in Crossref: 82] [Cited by in F6Publishing: 84] [Article Influence: 41.0] [Reference Citation Analysis]
31 Alam MN, Le D, Yao X. Differential artery-vein analysis in quantitative retinal imaging: a review. Quant Imaging Med Surg 2021;11:1102-19. [PMID: 33654680 DOI: 10.21037/qims-20-557] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 2.0] [Reference Citation Analysis]
32 Appaji A, Nagendra B, Chako DM, Padmanabha A, Jacob A, Hiremath CV, Varambally S, Kesavan M, Venkatasubramanian G, Rao SV, Webers CAB, Berendschot TTJM, Rao NP. Relation between retinal vascular abnormalities and working memory impairment in patients with schizophrenia and bipolar disorder. Asian J Psychiatr 2020;49:101942. [PMID: 32070935 DOI: 10.1016/j.ajp.2020.101942] [Cited by in Crossref: 13] [Cited by in F6Publishing: 14] [Article Influence: 6.5] [Reference Citation Analysis]
33 Vaes AW, Spruit MA, Van Keer K, Barbosa-Breda J, Wouters EFM, Franssen FME, Theunis J, De Boever P. Structural analysis of retinal blood vessels in patients with COPD during a pulmonary rehabilitation program. Sci Rep 2020;10:31. [PMID: 31913345 DOI: 10.1038/s41598-019-56997-5] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]
34 Taban Sadeghi M, Soroureddin Z, Nouri-Vaskeh M, Nazarpoori P, Aghayari Sheikh Neshin S. Association of the mean platelet volume and red cell distribution width with dipper and non-dipper blood pressure in prehypertensive non-smokers. BMC Res Notes 2019;12:824. [PMID: 31870432 DOI: 10.1186/s13104-019-4868-x] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
35 Du Toit WL, Schutte AE, Mels CMC. The relationship of blood pressure with uric acid and bilirubin in young lean and overweight/obese men and women: the African-PREDICT study. J Hum Hypertens 2020;34:648-56. [PMID: 31712713 DOI: 10.1038/s41371-019-0287-7] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.7] [Reference Citation Analysis]
36 Al-Rifai RH, Majeed M, Qambar MA, Ibrahim A, AlYammahi KM, Aziz F. Type 2 diabetes and pre-diabetes mellitus: a systematic review and meta-analysis of prevalence studies in women of childbearing age in the Middle East and North Africa, 2000-2018.Syst Rev. 2019;8:268. [PMID: 31703716 DOI: 10.1186/s13643-019-1187-1] [Cited by in Crossref: 10] [Cited by in F6Publishing: 12] [Article Influence: 3.3] [Reference Citation Analysis]
37 Tang JM, Shi N, Dong K, Brown SA, Coleman AE, Boegehold MA, Chen SY. Response Gene to Complement 32 Maintains Blood Pressure Homeostasis by Regulating α-Adrenergic Receptor Expression. Circ Res 2018;123:1080-90. [PMID: 30355157 DOI: 10.1161/CIRCRESAHA.118.313266] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 2.0] [Reference Citation Analysis]
38 Buler PA, Murawski K. Study on feature analysis used for designing hand-held retina vessels extraction sensor. 14th Conference on Integrated Optics: Sensors, Sensing Structures, and Methods 2019. [DOI: 10.1117/12.2537776] [Reference Citation Analysis]
39 Appaji A, Nagendra B, Chako DM, Padmanabha A, Jacob A, Hiremath CV, Varambally S, Kesavan M, Venkatasubramanian G, Rao SV, Webers CAB, Berendschot TTJM, Rao NP. Retinal vascular tortuosity in schizophrenia and bipolar disorder. Schizophr Res 2019;212:26-32. [PMID: 31466896 DOI: 10.1016/j.schres.2019.08.020] [Cited by in Crossref: 21] [Cited by in F6Publishing: 22] [Article Influence: 7.0] [Reference Citation Analysis]
40 Ng YL, Teoh SH, Mohd Radzniwan AR, Syahnaz MH. Prevalence and associated factors of undiagnosed glycaemic disorders in men with erectile dysfunction attending a primary care clinic. J Taibah Univ Med Sci 2019;14:88-94. [PMID: 31435395 DOI: 10.1016/j.jtumed.2018.12.002] [Reference Citation Analysis]
41 Appaji A, Nagendra B, Chako DM, Padmanabha A, Hiremath CV, Jacob A, Varambally S, Kesavan M, Venkatasubramanian G, Rao SV, Webers CAB, Berendschot TTJM, Rao NP. Retinal vascular fractal dimension in bipolar disorder and schizophrenia. J Affect Disord 2019;259:98-103. [PMID: 31445346 DOI: 10.1016/j.jad.2019.08.061] [Cited by in Crossref: 17] [Cited by in F6Publishing: 18] [Article Influence: 5.7] [Reference Citation Analysis]
42 Zhu Z, Wang W, Scheetz J, Zhang J, He M. Prevalence and risk profile of retinopathy in non-diabetic subjects: National Health and Nutrition Examination Survey 2005 to 2008. Clin Exp Ophthalmol 2019;47:1173-81. [PMID: 31317610 DOI: 10.1111/ceo.13595] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 1.7] [Reference Citation Analysis]
43 Appaji A, Nagendra B, Chako DM, Padmanabha A, Hiremath CV, Jacob A, Varambally S, Kesavan M, Venkatasubramanian G, Rao SV, Webers CAB, Berendschot TTJM, Rao NP. Retinal vascular abnormalities in schizophrenia and bipolar disorder: A window to the brain. Bipolar Disord 2019;21:634-41. [PMID: 31009139 DOI: 10.1111/bdi.12779] [Cited by in Crossref: 29] [Cited by in F6Publishing: 31] [Article Influence: 9.7] [Reference Citation Analysis]
44 Jeena R, Sukesh Kumar A, Mahadevan K, Thampi SM, El-alfy EM. Stroke diagnosis from retinal fundus images using multi texture analysis. IFS 2019;36:2025-32. [DOI: 10.3233/jifs-169914] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 1.7] [Reference Citation Analysis]
45 Ajaz A, Aliahmad B, Kumar H, Sarossy M, Kumar DK. Agreement study between color and IR retinal images based on retinal vasculature morphological parameters. BMC Ophthalmol 2019;19:27. [PMID: 30665394 DOI: 10.1186/s12886-018-0997-6] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
46 Alwin Robert A, Al Dawish MA. Microvascular complications among patients with diabetes: An emerging health problem in Saudi Arabia. Diab Vasc Dis Res 2019;16:227-35. [PMID: 30599757 DOI: 10.1177/1479164118820714] [Cited by in Crossref: 20] [Cited by in F6Publishing: 21] [Article Influence: 6.7] [Reference Citation Analysis]
47 Ahmad F, Khan Sial MR, Yousaf A, Khan F. Textural and Intensity Feature Based Retinal Vessels Classification for the Identification of Hypertensive Retinopathy. 2018 IEEE 21st International Multi-Topic Conference (INMIC) 2018. [DOI: 10.1109/inmic.2018.8595667] [Cited by in Crossref: 1] [Article Influence: 0.3] [Reference Citation Analysis]
48 Dumitrescu AG, Voinea L, Badarau IA, Paun VA, Schowe M, Ciuluvica R. Update on retinal vascular caliber. Rom J Ophthalmol 2017;61:171-80. [PMID: 29450394 DOI: 10.22336/rjo.2017.32] [Cited by in Crossref: 11] [Cited by in F6Publishing: 12] [Article Influence: 2.8] [Reference Citation Analysis]
49 Hammoum I, Benlarbi M, Dellaa A, Kahloun R, Messaoud R, Amara S, Azaiz R, Charfeddine R, Dogui M, Khairallah M, Lukáts Á, Ben Chaouacha-Chekir R. Retinal dysfunction parallels morphologic alterations and precede clinically detectable vascular alterations in Meriones shawi, a model of type 2 diabetes. Exp Eye Res 2018;176:174-87. [PMID: 30009825 DOI: 10.1016/j.exer.2018.07.007] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 0.8] [Reference Citation Analysis]
50 Wang B, Toslak D, Alam MN, Chan RVP, Yao X. Contact-free trans-pars-planar illumination enables snapshot fundus camera for nonmydriatic wide field photography. Sci Rep 2018;8:8768. [PMID: 29884832 DOI: 10.1038/s41598-018-27112-x] [Cited by in Crossref: 8] [Cited by in F6Publishing: 10] [Article Influence: 2.0] [Reference Citation Analysis]
51 Araújo T, Mendonça AM, Campilho A. Parametric model fitting-based approach for retinal blood vessel caliber estimation in eye fundus images. PLoS One 2018;13:e0194702. [PMID: 29668759 DOI: 10.1371/journal.pone.0194702] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 1.5] [Reference Citation Analysis]
52 Bosch A, Scheppach JB, Harazny JM, Raff U, Eckardt KU, Schmieder RE, Schneider MP. Retinal capillary and arteriolar changes in patients with chronic kidney disease. Microvasc Res 2018;118:121-7. [PMID: 29559377 DOI: 10.1016/j.mvr.2018.03.008] [Cited by in Crossref: 15] [Cited by in F6Publishing: 11] [Article Influence: 3.8] [Reference Citation Analysis]
53 Jumar A, Ott C, Kistner I, Friedrich S, Michelson G, Harazny JM, Schmieder RE. Early Signs of End-Organ Damage in Retinal Arterioles in Patients with Type 2 Diabetes Compared to Hypertensive Patients. Microcirculation 2016;23:447-55. [PMID: 27270643 DOI: 10.1111/micc.12291] [Cited by in Crossref: 9] [Cited by in F6Publishing: 11] [Article Influence: 2.3] [Reference Citation Analysis]
54 Chua J, Chia AR, Chee ML, Man REK, Tan GSW, Lamoureux EL, Wong TY, Chong MF, Schmetterer L. The relationship of dietary fish intake to diabetic retinopathy and retinal vascular caliber in patients with type 2 diabetes. Sci Rep 2018;8:730. [PMID: 29335432 DOI: 10.1038/s41598-017-18930-6] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 2.0] [Reference Citation Analysis]
55 Newman A, Andrew N, Casson R. Review of the association between retinal microvascular characteristics and eye disease. Clin Exp Ophthalmol 2018;46:531-52. [PMID: 29193621 DOI: 10.1111/ceo.13119] [Cited by in Crossref: 15] [Cited by in F6Publishing: 15] [Article Influence: 3.0] [Reference Citation Analysis]
56 Zaleska-Żmijewska A, Piątkiewicz P, Śmigielska B, Sokołowska-Oracz A, Wawrzyniak ZM, Romaniuk D, Szaflik J, Szaflik JP. Retinal Photoreceptors and Microvascular Changes in Prediabetes Measured with Adaptive Optics (rtx1™): A Case-Control Study. J Diabetes Res 2017;2017:4174292. [PMID: 29238728 DOI: 10.1155/2017/4174292] [Cited by in Crossref: 17] [Cited by in F6Publishing: 19] [Article Influence: 3.4] [Reference Citation Analysis]
57 Leontidis G, Al-diri B, Hunter A. A new unified framework for the early detection of the progression to diabetic retinopathy from fundus images. Computers in Biology and Medicine 2017;90:98-115. [DOI: 10.1016/j.compbiomed.2017.09.008] [Cited by in Crossref: 21] [Cited by in F6Publishing: 20] [Article Influence: 4.2] [Reference Citation Analysis]
58 Wang Y, Yuan Y, Zhang Y, Lei C, Zhou Y, He J, Sun Z. Serum 1,5-anhydroglucitol level as a screening tool for diabetes mellitus in a community-based population at high risk of diabetes. Acta Diabetol 2017;54:425-31. [PMID: 27896445 DOI: 10.1007/s00592-016-0944-z] [Cited by in Crossref: 20] [Cited by in F6Publishing: 18] [Article Influence: 4.0] [Reference Citation Analysis]
59 Beckman JA, Creager MA. Vascular Complications of Diabetes. Circ Res 2016;118:1771-85. [PMID: 27230641 DOI: 10.1161/CIRCRESAHA.115.306884] [Cited by in Crossref: 171] [Cited by in F6Publishing: 179] [Article Influence: 34.2] [Reference Citation Analysis]
60 Xu X, Ding W, Abràmoff MD, Cao R. An improved arteriovenous classification method for the early diagnostics of various diseases in retinal image. Computer Methods and Programs in Biomedicine 2017;141:3-9. [DOI: 10.1016/j.cmpb.2017.01.007] [Cited by in Crossref: 54] [Cited by in F6Publishing: 56] [Article Influence: 10.8] [Reference Citation Analysis]
61 Araújo T, Mendonça AM, Campilho A. Estimation of retinal vessel caliber using model fitting and random forests. SPIE Proceedings 2017. [DOI: 10.1117/12.2252025] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.4] [Reference Citation Analysis]
62 Mendonça AM, Remeseiro B, Dashtbozorg B, Campilho A. Automatic and semi-automatic approaches for arteriolar-to-venular computation in retinal photographs. SPIE Proceedings 2017. [DOI: 10.1117/12.2255096] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.2] [Reference Citation Analysis]
63 Yazgan S, Arpaci D, Celik HU, Dogan M, Isık I. Macular Choroidal Thickness May Be the Earliest Determiner to Detect the Onset of Diabetic Retinopathy in Patients with Prediabetes: A Prospective and Comparative Study. Curr Eye Res 2017;42:1039-47. [PMID: 28121176 DOI: 10.1080/02713683.2016.1264606] [Cited by in Crossref: 9] [Cited by in F6Publishing: 7] [Article Influence: 1.8] [Reference Citation Analysis]
64 Medhane Dipak, Shukla Aditi. An Automatic Approach to Segment Retinal Blood Vessels and Its Separation into Arteries/Veins. Proceedings of the International Conference on Data Engineering and Communication Technology 2017. [DOI: 10.1007/978-981-10-1675-2_21] [Cited by in Crossref: 1] [Article Influence: 0.2] [Reference Citation Analysis]
65 Alexandru N, Titorencu I, Frunzã S, Weiss E, Bãdilã E, Georgescu A. Endothelial Progenitor Cell Dysfunction in the Pathogenesis of Vascular Complications of Diabetes. Mechanisms of Vascular Defects in Diabetes Mellitus 2017. [DOI: 10.1007/978-3-319-60324-7_8] [Cited by in Crossref: 1] [Article Influence: 0.2] [Reference Citation Analysis]
66 Yan Y, Wen D, Dewan MAA, Huang W. Classification of Artery and Vein in Retinal Fundus Images Based on the Context-Dependent Features. Lecture Notes in Computer Science 2017. [DOI: 10.1007/978-3-319-58463-8_18] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.2] [Reference Citation Analysis]
67 Davidson MB. Diabetic retinopathy is not present in non-diabetic older overweight/obese African Americans. Diabetes Res Clin Pract 2017;126:322. [PMID: 28062174 DOI: 10.1016/j.diabres.2016.12.003] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.2] [Reference Citation Analysis]
68 Arichika S, Uji A, Murakami T, Suzuma K, Gotoh N, Yoshimura N. Correlation of retinal arterial wall thickness with atherosclerosis predictors in type 2 diabetes without clinical retinopathy. Br J Ophthalmol 2017;101:69-74. [PMID: 27913444 DOI: 10.1136/bjophthalmol-2016-309612] [Cited by in Crossref: 9] [Cited by in F6Publishing: 11] [Article Influence: 1.5] [Reference Citation Analysis]
69 Xingzheng Lyu, Qifan Yang, Shunren Xia, Sanyuan Zhang. Construction of retinal vascular trees via curvature orientation prior. 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2016. [DOI: 10.1109/bibm.2016.7822548] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.2] [Reference Citation Analysis]
70 Davidson MB. Diabetic retinopathy is not present in newly diagnosed diabetic patients. Diabetologia 2016;59:2727-2727. [DOI: 10.1007/s00125-016-4131-0] [Reference Citation Analysis]
71 [DOI: 10.1109/icaees.2016.7888124] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]
72 Bril F, Cusi K. Nonalcoholic Fatty Liver Disease: The New Complication of Type 2 Diabetes Mellitus. Endocrinol Metab Clin North Am 2016;45:765-81. [PMID: 27823604 DOI: 10.1016/j.ecl.2016.06.005] [Cited by in Crossref: 77] [Cited by in F6Publishing: 80] [Article Influence: 12.8] [Reference Citation Analysis]
73 O'Brien MJ, Moran MR, Tang JW, Vargas MC, Talen M, Zimmermann LJ, Ackermann RT, Kandula NR. Patient Perceptions About Prediabetes and Preferences for Diabetes Prevention. Diabetes Educ 2016;42:667-77. [PMID: 27621093 DOI: 10.1177/0145721716666678] [Cited by in Crossref: 29] [Cited by in F6Publishing: 29] [Article Influence: 4.8] [Reference Citation Analysis]
74 Aliahmad B, Kumar DK, Jain R. Automatic Analysis of Retinal Vascular Parameters for Detection of Diabetes in Indian Patients with No Retinopathy Sign. Int Sch Res Notices 2016;2016:8423289. [PMID: 27579347 DOI: 10.1155/2016/8423289] [Cited by in Crossref: 4] [Cited by in F6Publishing: 6] [Article Influence: 0.7] [Reference Citation Analysis]
75 Lin GM, Redline S, Klein R, Colangelo LA, Cotch MF, Wong TY, Klein BE, Patel SR, Shea SJ, Liu K. Sex-Specific Association of Obstructive Sleep Apnea With Retinal Microvascular Signs: The Multi-Ethnic Study of Atherosclerosis. J Am Heart Assoc 2016;5:e003598. [PMID: 27451457 DOI: 10.1161/JAHA.116.003598] [Cited by in Crossref: 12] [Cited by in F6Publishing: 16] [Article Influence: 2.0] [Reference Citation Analysis]
76 Hostalek U, Gwilt M, Hildemann S. Therapeutic Use of Metformin in Prediabetes and Diabetes Prevention. Drugs 2015;75:1071-94. [PMID: 26059289 DOI: 10.1007/s40265-015-0416-8] [Cited by in Crossref: 143] [Cited by in F6Publishing: 109] [Article Influence: 23.8] [Reference Citation Analysis]
77 Chen S, Zhang Q, Dai G, Hu J, Zhu C, Su L, Wu X. Association of depression with pre-diabetes, undiagnosed diabetes, and previously diagnosed diabetes: a meta-analysis. Endocrine 2016;53:35-46. [DOI: 10.1007/s12020-016-0869-x] [Cited by in Crossref: 54] [Cited by in F6Publishing: 56] [Article Influence: 9.0] [Reference Citation Analysis]
78 Tan P, Lye DC, Yeo TK, Cheung CY, Thein TL, Wong JG, Agrawal R, Li LJ, Wong TY, Gan VC, Leo YS, Teoh SC. A prospective case-control study to investigate retinal microvascular changes in acute dengue infection. Sci Rep 2015;5:17183. [PMID: 26603217 DOI: 10.1038/srep17183] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 0.6] [Reference Citation Analysis]
79 McEvoy CT, Wallace IR, Hamill LL, Neville CE, Hunter SJ, Patterson CC, Woodside JV, Chakravarthy U, Young IS, McKinley MC. Increasing fruit and vegetable intake has no effect on retinal vessel caliber in adults at high risk of developing cardiovascular disease. Nutr Metab Cardiovasc Dis 2016;26:318-25. [PMID: 27004617 DOI: 10.1016/j.numecd.2015.10.010] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 0.4] [Reference Citation Analysis]
80 Ding Y, Ward WOC, Duan J, Auer DP, Gowland P, Bai L. Retinal vasculature classification using novel multifractal features. Phys Med Biol 2015;60:8365-79. [DOI: 10.1088/0031-9155/60/21/8365] [Cited by in Crossref: 14] [Cited by in F6Publishing: 14] [Article Influence: 2.0] [Reference Citation Analysis]
81 Norouzpour A, Mehdizadeh A. Retinal vascular fractals in Behçet's Disease: A screening method? Saudi J Ophthalmol 2015;29:210-1. [PMID: 26155081 DOI: 10.1016/j.sjopt.2015.01.003] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.3] [Reference Citation Analysis]
82 Chandra P, Sudhalkar A, Mandal S, Chhablani J. Retinal circulation and its role in macular disorders in patients without systemic disease. Int J Ophthalmol 2015;8:585-9. [PMID: 26086013 DOI: 10.3980/j.issn.2222-3959.2015.03.27] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
83 Reimann M, Vilser W, Gruber M, Bornstein SR, Ziemssen T. Insulin is a key determinant of elevated retinal arteriolar flicker response in insulin-resistant individuals. Diabetologia 2015;58:2154-60. [DOI: 10.1007/s00125-015-3639-z] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.3] [Reference Citation Analysis]
84 Bansal N. Prediabetes diagnosis and treatment: A review. World J Diabetes 2015; 6(2): 296-303 [PMID: 25789110 DOI: 10.4239/wjd.v6.i2.296] [Cited by in CrossRef: 243] [Cited by in F6Publishing: 258] [Article Influence: 34.7] [Reference Citation Analysis]
85 Weiler DL, Engelke CB, Moore ALO, Harrison WW. Arteriole Tortuosity Associated with Diabetic Retinopathy and Cholesterol. Optometry and Vision Science 2015;92:384-91. [DOI: 10.1097/opx.0000000000000484] [Cited by in Crossref: 9] [Cited by in F6Publishing: 9] [Article Influence: 1.3] [Reference Citation Analysis]
86 Lim LW, Tan CS. Letter to the Editor. Optometry and Vision Science 2015;92:e83. [DOI: 10.1097/opx.0000000000000502] [Reference Citation Analysis]
87 Cybulska-Heinrich AK, Baertschi M, Loesche CC, Schoetzau A, Konieczka K, Josifova T, Flammer J. Patients with diabetic retinopathy have high retinal venous pressure. EPMA J 2015;6:5. [PMID: 25793018 DOI: 10.1186/s13167-015-0027-1] [Cited by in Crossref: 14] [Cited by in F6Publishing: 14] [Article Influence: 2.0] [Reference Citation Analysis]
88 Yan B, Yao J, Liu JY, Li XM, Wang XQ, Li YJ, Tao ZF, Song YC, Chen Q, Jiang Q. lncRNA-MIAT regulates microvascular dysfunction by functioning as a competing endogenous RNA. Circ Res. 2015;116:1143-1156. [PMID: 25587098 DOI: 10.1161/circresaha.116.305510] [Cited by in Crossref: 424] [Cited by in F6Publishing: 456] [Article Influence: 60.6] [Reference Citation Analysis]
89 Irshad S, Usman Akram M, Ayub S, Ayaz A. Retinal Blood Vessels Differentiation for Calculation of Arterio-Venous Ratio. Lecture Notes in Computer Science 2015. [DOI: 10.1007/978-3-319-20801-5_45] [Cited by in Crossref: 5] [Cited by in F6Publishing: 6] [Article Influence: 0.7] [Reference Citation Analysis]
90 Wiernsperger N. Microcirculation. Glucose Intake and Utilization in Pre-Diabetes and Diabetes 2015. [DOI: 10.1016/b978-0-12-800093-9.00023-5] [Reference Citation Analysis]
91 Clough GF. Developmental Conditioning of the Vasculature. In: Terjung R, editor. Comprehensive Physiology. Wiley; 2011. pp. 397-438. [DOI: 10.1002/cphy.c140037] [Cited by in Crossref: 2] [Cited by in F6Publishing: 7] [Article Influence: 0.3] [Reference Citation Analysis]
92 Liccardo D, Mosca A, Petroni S, Valente P, Giordano U, Mico' AG, Pescosolido S, Buzzonetti L, Nobili V. The association between retinal microvascular changes, metabolic risk factors, and liver histology in pediatric patients with non-alcoholic fatty liver disease (NAFLD). J Gastroenterol 2015;50:903-12. [PMID: 25516385 DOI: 10.1007/s00535-014-1024-1] [Cited by in Crossref: 10] [Cited by in F6Publishing: 12] [Article Influence: 1.3] [Reference Citation Analysis]
93 Aliahmad B, Kumar DK, Sarossy MG, Jain R. Relationship between diabetes and grayscale fractal dimensions of retinal vasculature in the Indian population. BMC Ophthalmol 2014;14:152. [PMID: 25434291 DOI: 10.1186/1471-2415-14-152] [Cited by in Crossref: 22] [Cited by in F6Publishing: 22] [Article Influence: 2.8] [Reference Citation Analysis]
94 Bhargava M, Cheung CY, Sabanayagam C, Huang L, Lamoureux EL, Wang JJ, Tai ES, Heng CK, Ikram MK, Mitchell P, Wong TY. Prevalence and risk factors for retinopathy in persons without diabetes: the Singapore Indian Eye Study. Acta Ophthalmol 2014;92:e602-9. [PMID: 24894034 DOI: 10.1111/aos.12446] [Cited by in Crossref: 17] [Cited by in F6Publishing: 17] [Article Influence: 2.1] [Reference Citation Analysis]
95 Liu JY, Yao J, Li XM, Song YC, Wang XQ, Li YJ, Yan B, Jiang Q. Pathogenic role of lncRNA-MALAT1 in endothelial cell dysfunction in diabetes mellitus. Cell Death Dis. 2014;5:e1506. [PMID: 25356875 DOI: 10.1038/cddis.2014.466] [Cited by in Crossref: 292] [Cited by in F6Publishing: 315] [Article Influence: 36.5] [Reference Citation Analysis]
96 Buysschaert M, Medina JL, Bergman M, Shah A, Lonier J. Prediabetes and associated disorders. Endocrine 2015;48:371-93. [PMID: 25294012 DOI: 10.1007/s12020-014-0436-2] [Cited by in Crossref: 89] [Cited by in F6Publishing: 73] [Article Influence: 11.1] [Reference Citation Analysis]
97 Islam M, Jafar TH, Bux R, Hashmi S, Chaturvedi N, Hughes AD. Association of parental blood pressure with retinal microcirculatory abnormalities indicative of endothelial dysfunction in children. J Hypertens 2014;32:598-605. [PMID: 24477097 DOI: 10.1097/HJH.0000000000000063] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 0.8] [Reference Citation Analysis]
98 Leontidis G, Al-diri B, Hunter A. Diabetic retinopathy: current and future methods for early screening from a retinal hemodynamic and geometric approach. Expert Review of Ophthalmology 2014;9:431-42. [DOI: 10.1586/17469899.2014.945521] [Cited by in Crossref: 11] [Cited by in F6Publishing: 11] [Article Influence: 1.4] [Reference Citation Analysis]
99 Huang J, Ou HY, Karnchanasorn R, Samoa R, Chuang LM, Chiu KC, Feng W. Clinical implication of fasting and post-challenged plasma glucose in diagnosis of diabetes mellitus. Endocrine 2015;48:511-8. [PMID: 24895042 DOI: 10.1007/s12020-014-0301-3] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 0.6] [Reference Citation Analysis]
100 Golzan SM, Butlin M, Kouchaki Z, Gupta V, Avolio A, Graham SL. Characterizing dynamic properties of retinal vessels in the rat eye using high speed imaging. Microvascular Research 2014;92:56-61. [DOI: 10.1016/j.mvr.2013.12.006] [Cited by in Crossref: 11] [Cited by in F6Publishing: 11] [Article Influence: 1.4] [Reference Citation Analysis]
101 Lamparter J, Raum P, Pfeiffer N, Peto T, Höhn R, Elflein H, Wild P, Schulz A, Schneider A, Mirshahi A. Prevalence and associations of diabetic retinopathy in a large cohort of prediabetic subjects: the Gutenberg Health Study. J Diabetes Complications. 1989;28:482-487. [PMID: 24630763 DOI: 10.1016/j.jdiacomp.2014.02.008] [Cited by in Crossref: 47] [Cited by in F6Publishing: 49] [Article Influence: 5.9] [Reference Citation Analysis]
102 Sasongko MB, Wong TY, Wang JJ. Retinal microvascular structure: determinants and potential utility of novel imaging measurements. Expert Review of Ophthalmology 2014;5:353-63. [DOI: 10.1586/eop.10.27] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.3] [Reference Citation Analysis]
103 Felea MG, Covrig M, Mircea I, Naghi L. Socioeconomic Status and Risk of Type 2 Diabetes Mellitus among an Elderly Group Population in Romania. Procedia Economics and Finance 2014;10:61-67. [DOI: 10.1016/s2212-5671(14)00278-0] [Cited by in Crossref: 1] [Article Influence: 0.1] [Reference Citation Analysis]
104 Hosking SP, Bhatia R, Crock PA, Wright I, Squance ML, Reeves G. Non-invasive detection of microvascular changes in a paediatric and adolescent population with type 1 diabetes: a pilot cross-sectional study. BMC Endocr Disord 2013;13:41. [PMID: 24093770 DOI: 10.1186/1472-6823-13-41] [Cited by in Crossref: 21] [Cited by in F6Publishing: 23] [Article Influence: 2.3] [Reference Citation Analysis]
105 Muraoka Y, Tsujikawa A, Kumagai K, Akiba M, Ogino K, Murakami T, Akagi-Kurashige Y, Miyamoto K, Yoshimura N. Age- and hypertension-dependent changes in retinal vessel diameter and wall thickness: an optical coherence tomography study. Am J Ophthalmol 2013;156:706-14. [PMID: 23876868 DOI: 10.1016/j.ajo.2013.05.021] [Cited by in Crossref: 65] [Cited by in F6Publishing: 56] [Article Influence: 7.2] [Reference Citation Analysis]
106 Lombardo M, Parravano M, Serrao S, Ducoli P, Stirpe M, Lombardo G. ANALYSIS OF RETINAL CAPILLARIES IN PATIENTS WITH TYPE 1 DIABETES AND NONPROLIFERATIVE DIABETIC RETINOPATHY USING ADAPTIVE OPTICS IMAGING. Retina 2013;33:1630-9. [DOI: 10.1097/iae.0b013e3182899326] [Cited by in Crossref: 40] [Cited by in F6Publishing: 52] [Article Influence: 4.4] [Reference Citation Analysis]
107 Mirsharif Q, Tajeripour F, Pourreza H. Automated characterization of blood vessels as arteries and veins in retinal images. Comput Med Imaging Graph 2013;37:607-17. [PMID: 23849699 DOI: 10.1016/j.compmedimag.2013.06.003] [Cited by in Crossref: 65] [Cited by in F6Publishing: 69] [Article Influence: 7.2] [Reference Citation Analysis]
108 Lee H, Oh J, Sung Y, Kim D, Kim S, Kim S, Moon S, Park I, Rhee E, Chung C, Kim B, Ku B. Optimal hemoglobin A1C Cutoff Value for Diagnosing type 2 diabetes mellitus in Korean adults. Diabetes Research and Clinical Practice 2013;99:231-6. [DOI: 10.1016/j.diabres.2012.09.030] [Cited by in Crossref: 28] [Cited by in F6Publishing: 28] [Article Influence: 3.1] [Reference Citation Analysis]
109 Robinson R, Barathi VA, Chaurasia SS, Wong TY, Kern TS. Update on animal models of diabetic retinopathy: from molecular approaches to mice and higher mammals. Dis Model Mech. 2012;5:444-456. [PMID: 22730475 DOI: 10.1242/dmm.009597] [Cited by in Crossref: 165] [Cited by in F6Publishing: 184] [Article Influence: 18.3] [Reference Citation Analysis]
110 Wang S, Xu L, Jonas JB, Wang YS, Wang YX, You QS, Yang H, Zhou JQ. Five-Year Incidence of Retinal Microvascular Abnormalities and Associations with Arterial Hypertension: The Beijing Eye Study 2001/2006. Ophthalmology 2012;119:2592-9. [DOI: 10.1016/j.ophtha.2012.06.031] [Cited by in Crossref: 16] [Cited by in F6Publishing: 14] [Article Influence: 1.6] [Reference Citation Analysis]
111 Kalitzeos AA, Lip GY, Heitmar R. Retinal vessel tortuosity measures and their applications. Exp Eye Res 2013;106:40-6. [PMID: 23146682 DOI: 10.1016/j.exer.2012.10.015] [Cited by in Crossref: 43] [Cited by in F6Publishing: 31] [Article Influence: 4.3] [Reference Citation Analysis]
112 Tankova T, Chakarova N, Dakovska L, Atanassova I. Assessment of HbA1c as a diagnostic tool in diabetes and prediabetes. Acta Diabetol 2012;49:371-8. [PMID: 21964885 DOI: 10.1007/s00592-011-0334-5] [Cited by in Crossref: 22] [Cited by in F6Publishing: 20] [Article Influence: 2.2] [Reference Citation Analysis]
113 Dyck PJ, Clark VM, Overland CJ, Davies JL, Pach JM, Dyck PJ, Klein CJ, Rizza RA, Melton LJ 3rd, Carter RE, Klein R, Litchy WJ. Impaired glycemia and diabetic polyneuropathy: the OC IG Survey. Diabetes Care 2012;35:584-91. [PMID: 22355020 DOI: 10.2337/dc11-1421] [Cited by in Crossref: 63] [Cited by in F6Publishing: 68] [Article Influence: 6.3] [Reference Citation Analysis]
114 Tabák AG, Herder C, Rathmann W, Brunner EJ, Kivimäki M. Prediabetes: a high-risk state for diabetes development. Lancet. 2012;379:2279-2290. [PMID: 22683128 DOI: 10.1016/s0140-6736(12)60283-9] [Cited by in Crossref: 1388] [Cited by in F6Publishing: 1478] [Article Influence: 138.8] [Reference Citation Analysis]
115 Cheung CY, Lamoureux E, Ikram MK, Sasongko MB, Ding J, Zheng Y, Mitchell P, Wang JJ, Wong TY. Retinal vascular geometry in Asian persons with diabetes and retinopathy. J Diabetes Sci Technol 2012;6:595-605. [PMID: 22768891 DOI: 10.1177/193229681200600315] [Cited by in Crossref: 51] [Cited by in F6Publishing: 56] [Article Influence: 5.1] [Reference Citation Analysis]
116 Ding J, Ikram MK, Cheung CY, Wong TY. Retinal vascular calibre as a predictor of incidence and progression of diabetic retinopathy. Clin Exp Optom 2012;95:290-6. [PMID: 22435387 DOI: 10.1111/j.1444-0938.2012.00725.x] [Cited by in Crossref: 24] [Cited by in F6Publishing: 26] [Article Influence: 2.4] [Reference Citation Analysis]
117 Ding J, Cheung CY, Ikram MK, Zheng YF, Cheng CY, Lamoureux EL, Tai ES, Subramaniam T, Wong TY. Early retinal arteriolar changes and peripheral neuropathy in diabetes. Diabetes Care 2012;35:1098-104. [PMID: 22374638 DOI: 10.2337/dc11-1341] [Cited by in Crossref: 34] [Cited by in F6Publishing: 36] [Article Influence: 3.4] [Reference Citation Analysis]
118 Benitez-Aguirre PZ, Sasongko MB, Craig ME, Jenkins AJ, Cusumano J, Cheung N, Wong TY, Donaghue KC. Retinal vascular geometry predicts incident renal dysfunction in young people with type 1 diabetes. Diabetes Care 2012;35:599-604. [PMID: 22250064 DOI: 10.2337/dc11-1177] [Cited by in Crossref: 35] [Cited by in F6Publishing: 37] [Article Influence: 3.5] [Reference Citation Analysis]
119 Mcevoy CT, Wallace IR, Hamill LL, Neville CE, Hunter SJ, Woodside JV, Chakravarthy U, Young IS, Mckinley MC. The dose-response effect of fruit and vegetable intake on retinal vessel calibre, in healthy individuals at high risk of cardiovascular disease: a randomised controlled trial. Proc Nutr Soc 2012;71:E86. [DOI: 10.1017/s0029665112001437] [Reference Citation Analysis]
120 Sasongko MB, Wong TY, Donaghue KC, Cheung N, Jenkins AJ, Benitez-Aguirre P, Wang JJ. Retinal arteriolar tortuosity is associated with retinopathy and early kidney dysfunction in type 1 diabetes. Am J Ophthalmol 2012;153:176-83.e1. [PMID: 21907319 DOI: 10.1016/j.ajo.2011.06.005] [Cited by in Crossref: 59] [Cited by in F6Publishing: 50] [Article Influence: 5.9] [Reference Citation Analysis]
121 Yau JW, Xie J, Lamoureux E, Klein R, Klein BE, Cotch MF, Bertoni AG, Shea S, Wong TY. Retinal microvascular calibre and risk of incident diabetes: the multi-ethnic study of atherosclerosis. Diabetes Res Clin Pract 2012;95:265-74. [PMID: 22088792 DOI: 10.1016/j.diabres.2011.10.027] [Cited by in Crossref: 11] [Cited by in F6Publishing: 12] [Article Influence: 1.0] [Reference Citation Analysis]
122 Moutzouri E, Tsimihodimos V, Rizos E, Elisaf M. Prediabetes: to treat or not to treat? Eur J Pharmacol. 2011;672:9-19. [PMID: 22020287 DOI: 10.1016/j.ejphar.2011.10.007] [Cited by in Crossref: 13] [Cited by in F6Publishing: 21] [Article Influence: 1.2] [Reference Citation Analysis]
123 Grosso A, Cheung N, Veglio F, Wong TY. Similarities and differences in early retinal phenotypes in hypertension and diabetes. Journal of Hypertension 2011;29:1667-75. [DOI: 10.1097/hjh.0b013e3283496655] [Cited by in Crossref: 36] [Cited by in F6Publishing: 36] [Article Influence: 3.3] [Reference Citation Analysis]
124 Tsai AS, Wong TY, Lavanya R, Zhang R, Hamzah H, Tai ES, Cheung CY. Differential association of retinal arteriolar and venular caliber with diabetes and retinopathy. Diabetes Res Clin Pract 2011;94:291-8. [PMID: 21864932 DOI: 10.1016/j.diabres.2011.07.032] [Cited by in Crossref: 42] [Cited by in F6Publishing: 32] [Article Influence: 3.8] [Reference Citation Analysis]
125 Yuksel C, Celik T, Demirkol S, Celik M, Bugan B, Iyisoy A, Yaman H. Increased Platelet Activation in Young Patients with Prehypertension. Clinical and Experimental Hypertension 2011;33:381-7. [DOI: 10.3109/10641963.2010.549263] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.2] [Reference Citation Analysis]
126 Echouffo-Tcheugui JB, Ali MK, Griffin SJ, Narayan KM. Screening for type 2 diabetes and dysglycemia. Epidemiol Rev 2011;33:63-87. [PMID: 21624961 DOI: 10.1093/epirev/mxq020] [Cited by in Crossref: 53] [Cited by in F6Publishing: 58] [Article Influence: 4.8] [Reference Citation Analysis]
127 Sasongko MB, Wong TY, Nguyen TT, Cheung CY, Shaw JE, Wang JJ. Retinal vascular tortuosity in persons with diabetes and diabetic retinopathy. Diabetologia 2011;54:2409-16. [DOI: 10.1007/s00125-011-2200-y] [Cited by in Crossref: 118] [Cited by in F6Publishing: 98] [Article Influence: 10.7] [Reference Citation Analysis]
128 Hammes H. Diabetische Retinopathie und Makulopathie. Internist 2011;52:518-532. [DOI: 10.1007/s00108-010-2762-7] [Cited by in Crossref: 2] [Article Influence: 0.2] [Reference Citation Analysis]
129 Li LJ, Cheung CY, Liu Y, Chia A, Selvaraj P, Lin XY, Chan YM, Varma R, Mitchell P, Wong TY, Saw SM. Influence of blood pressure on retinal vascular caliber in young children. Ophthalmology 2011;118:1459-65. [PMID: 21444115 DOI: 10.1016/j.ophtha.2010.12.007] [Cited by in Crossref: 33] [Cited by in F6Publishing: 22] [Article Influence: 3.0] [Reference Citation Analysis]
130 Ratner RE, Sathasivam A. Treatment recommendations for prediabetes. Med Clin North Am 2011;95:385-95, viii-ix. [PMID: 21281840 DOI: 10.1016/j.mcna.2010.11.007] [Cited by in Crossref: 10] [Cited by in F6Publishing: 12] [Article Influence: 0.9] [Reference Citation Analysis]
131 Scheinman RI, Vooturi SK, Kompella UB. Druggable Targets and Therapeutic Agents for Disorders of the Back of the Eye. Drug Product Development for the Back of the Eye 2011. [DOI: 10.1007/978-1-4419-9920-7_21] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.1] [Reference Citation Analysis]
132 Vázquez SG, Barreira N, Penedo MG, Ortega M, Pose-reino A. Improvements in retinal vessel clustering techniques: towards the automatic computation of the arterio venous ratio. Computing 2010;90:197-217. [DOI: 10.1007/s00607-010-0114-z] [Cited by in Crossref: 11] [Cited by in F6Publishing: 11] [Article Influence: 0.9] [Reference Citation Analysis]
133 Kim EC, Kim DJ, Lee SS, Kim MS. Ultrastructural changes of cornea after ethanol ingestion in Otsuka Long-Evans Tokushima fatty (OLETF) and Long-Evans Tokushima Otsuka (LETO) rats. Graefes Arch Clin Exp Ophthalmol 2010;248:1457-66. [PMID: 20582705 DOI: 10.1007/s00417-010-1432-8] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 0.3] [Reference Citation Analysis]
134 Licht AH, Nübel T, Feldner A, Jurisch-Yaksi N, Marcello M, Demicheva E, Hu JH, Hartenstein B, Augustin HG, Hecker M, Angel P, Korff T, Schorpp-Kistner M. Junb regulates arterial contraction capacity, cellular contractility, and motility via its target Myl9 in mice. J Clin Invest 2010;120:2307-18. [PMID: 20551518 DOI: 10.1172/JCI41749] [Cited by in Crossref: 27] [Cited by in F6Publishing: 32] [Article Influence: 2.3] [Reference Citation Analysis]
135 Yau JW, Kawasaki R, Islam FM, Shaw J, Zimmet P, Wang JJ, Wong TY. Retinal fractal dimension is increased in persons with diabetes but not impaired glucose metabolism: the Australian Diabetes, Obesity and Lifestyle (AusDiab) study. Diabetologia 2010;53:2042-5. [PMID: 20523965 DOI: 10.1007/s00125-010-1811-z] [Cited by in Crossref: 27] [Cited by in F6Publishing: 26] [Article Influence: 2.3] [Reference Citation Analysis]
136 Nguyen TT, Islam FM, Farouque HM, Klein R, Klein BE, Cotch MF, Herrington DM, Wong TY. Retinal vascular caliber and brachial flow-mediated dilation: the Multi-Ethnic Study of Atherosclerosis. Stroke 2010;41:1343-8. [PMID: 20508189 DOI: 10.1161/STROKEAHA.110.581017] [Cited by in Crossref: 40] [Cited by in F6Publishing: 45] [Article Influence: 3.3] [Reference Citation Analysis]
137 Yim-Lui Cheung C, Wong TY, Lamoureux EL, Sabanayagam C, Li J, Lee J, Tai ES. C-reactive protein and retinal microvascular caliber in a multiethnic asian population. Am J Epidemiol 2010;171:206-13. [PMID: 20007993 DOI: 10.1093/aje/kwp357] [Cited by in Crossref: 25] [Cited by in F6Publishing: 28] [Article Influence: 2.1] [Reference Citation Analysis]
138 Davidson MB, Schriger DL. Effect of age and race/ethnicity on HbA1c levels in people without known diabetes mellitus: implications for the diagnosis of diabetes. Diabetes Res Clin Pract. 2010;87:415-421. [PMID: 20061043 DOI: 10.1016/j.diabres.2009.12.013] [Cited by in Crossref: 96] [Cited by in F6Publishing: 99] [Article Influence: 8.0] [Reference Citation Analysis]
139 Vázquez SG, Barreira N, Penedo MG, Saez M, Pose-reino A. Using Retinex Image Enhancement to Improve the Artery/Vein Classification in Retinal Images. In: Campilho A, Kamel M, editors. Image Analysis and Recognition. Berlin: Springer Berlin Heidelberg; 2010. pp. 50-9. [DOI: 10.1007/978-3-642-13775-4_6] [Cited by in Crossref: 17] [Cited by in F6Publishing: 4] [Article Influence: 1.4] [Reference Citation Analysis]
140 Peng XY, Wang FH, Liang YB, Wang JJ, Sun LP, Peng Y, Friedman DS, Liew G, Wang NL, Wong TY. Retinopathy in persons without diabetes: the Handan Eye Study. Ophthalmology 2010;117:531-7, 537.e1-2. [PMID: 20036013 DOI: 10.1016/j.ophtha.2009.07.045] [Cited by in Crossref: 27] [Cited by in F6Publishing: 24] [Article Influence: 2.1] [Reference Citation Analysis]
141 Nguyen TT, Wong TY. Retinal vascular changes and diabetic retinopathy. Curr Diab Rep 2009;9:277-83. [PMID: 19640340 DOI: 10.1007/s11892-009-0043-4] [Cited by in Crossref: 64] [Cited by in F6Publishing: 69] [Article Influence: 4.9] [Reference Citation Analysis]
142 Zhang Y, Dall TM, Chen Y, Baldwin A, Yang W, Mann S, Moore V, Le Nestour E, Quick WW. Medical cost associated with prediabetes. Popul Health Manag 2009;12:157-63. [PMID: 19534580 DOI: 10.1089/pop.2009.12302] [Cited by in Crossref: 35] [Cited by in F6Publishing: 38] [Article Influence: 2.7] [Reference Citation Analysis]
143 Kaplan NM. Prehypertension: Is It Relevant for Nephrologists? CJASN 2009;4:1381-1383. [DOI: 10.2215/cjn.02340409] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 0.2] [Reference Citation Analysis]
144 Nguyen TT, Kawasaki R, Wang JJ, Kreis AJ, Shaw J, Vilser W, Wong TY. Flicker light-induced retinal vasodilation in diabetes and diabetic retinopathy. Diabetes Care 2009;32:2075-80. [PMID: 19641162 DOI: 10.2337/dc09-0075] [Cited by in Crossref: 97] [Cited by in F6Publishing: 109] [Article Influence: 7.5] [Reference Citation Analysis]
145 Kreis AJ, Nguyen T, Rogers S, Wang JJ, Harazny J, Michelson G, Omar Farouque HM, Wong TY. Reliability of Different Image Analysis Methods for Scanning Laser Doppler Flowmetry. Current Eye Research 2009;33:493-9. [DOI: 10.1080/02713680802069149] [Cited by in Crossref: 20] [Cited by in F6Publishing: 18] [Article Influence: 1.5] [Reference Citation Analysis]
146 Nguyen TT, Alibrahim E, Islam FM, Klein R, Klein BE, Cotch MF, Shea S, Wong TY. Inflammatory, hemostatic, and other novel biomarkers for diabetic retinopathy: the multi-ethnic study of atherosclerosis. Diabetes Care. 2009;32:1704-1709. [PMID: 19549733 DOI: 10.2337/dc09-0102] [Cited by in Crossref: 66] [Cited by in F6Publishing: 77] [Article Influence: 5.1] [Reference Citation Analysis]
147 Bronson-Castain KW, Bearse MA Jr, Neuville J, Jonasdottir S, King-Hooper B, Barez S, Schneck ME, Adams AJ. Adolescents with Type 2 diabetes: early indications of focal retinal neuropathy, retinal thinning, and venular dilation. Retina 2009;29:618-26. [PMID: 19262432 DOI: 10.1097/IAE.0b013e31819a988b] [Cited by in Crossref: 59] [Cited by in F6Publishing: 65] [Article Influence: 4.5] [Reference Citation Analysis]
148 Mimoun L, Massin P, Steg G. Retinal microvascularisation abnormalities and cardiovascular risk. Arch Cardiovasc Dis 2009;102:449-56. [PMID: 19520331 DOI: 10.1016/j.acvd.2009.02.008] [Cited by in Crossref: 36] [Cited by in F6Publishing: 38] [Article Influence: 2.8] [Reference Citation Analysis]
149 Sun C, Wang JJ, Mackey DA, Wong TY. Retinal Vascular Caliber: Systemic, Environmental, and Genetic Associations. Survey of Ophthalmology 2009;54:74-95. [DOI: 10.1016/j.survophthal.2008.10.003] [Cited by in Crossref: 259] [Cited by in F6Publishing: 279] [Article Influence: 19.9] [Reference Citation Analysis]
150 Steveling A, Völzke H, Nauck M, Wallaschofski H. HbA1c determination – A new diagnostic criterion? 1. LaboratoriumsMedizin 2009;33:-. [DOI: 10.1515/jlm.2009.003et] [Reference Citation Analysis]
151 Steveling A, Völzke H, Nauck M, Wallaschofski H. HbA1c-Bestimmung – ein neues Diagnosekriterium? / HbA1c – The new diagnostic criterion? LaboratoriumsMedizin 2009;33:11-14. [DOI: 10.1515/jlm.2009.003] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.1] [Reference Citation Analysis]
152 Cheung N, Wong TY. Microvascular changes in the retina as a risk marker for cardiovascular disease. Curr Cardio Risk Rep 2009;3:51-8. [DOI: 10.1007/s12170-009-0009-8] [Cited by in Crossref: 1] [Article Influence: 0.1] [Reference Citation Analysis]
153 Islam FMA, Nguyen TT, Wang JJ, Tai ES, Shankar A, Saw SM, Aung T, Lim SC, Mitchell P, Wong TY. Quantitative retinal vascular calibre changes in diabetes and retinopathy: the Singapore Malay eye study. Eye 2009;23:1719-24. [DOI: 10.1038/eye.2008.362] [Cited by in Crossref: 36] [Cited by in F6Publishing: 39] [Article Influence: 2.6] [Reference Citation Analysis]
154 Wong TY, Hyman L. Population-based studies in ophthalmology. Am J Ophthalmol 2008;146:656-63. [PMID: 18984085 DOI: 10.1016/j.ajo.2008.07.048] [Cited by in Crossref: 39] [Cited by in F6Publishing: 36] [Article Influence: 2.8] [Reference Citation Analysis]
155 Cheung N, Donaghue KC, Liew G, Rogers SL, Wang JJ, Lim SW, Jenkins AJ, Hsu W, Li Lee M, Wong TY. Quantitative assessment of early diabetic retinopathy using fractal analysis. Diabetes Care 2009;32:106-10. [PMID: 18835945 DOI: 10.2337/dc08-1233] [Cited by in Crossref: 128] [Cited by in F6Publishing: 138] [Article Influence: 9.1] [Reference Citation Analysis]
156 Kaplan NM. Treating prehypertension: a review of the evidence. Curr Hypertens Rep 2008;10:326-9. [PMID: 18625164 DOI: 10.1007/s11906-008-0060-8] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 0.3] [Reference Citation Analysis]
157 Kawasaki R, Wang JJ, Wong TY, Kayama T, Yamashita H. Impaired glucose tolerance, but not impaired fasting glucose, is associated with retinopathy in Japanese population: the Funagata study. Diabetes Obes Metab 2008;10:514-5. [PMID: 18462198 DOI: 10.1111/j.1463-1326.2007.00824.x] [Cited by in Crossref: 19] [Cited by in F6Publishing: 20] [Article Influence: 1.4] [Reference Citation Analysis]
158 Saudek CD, Herman WH, Sacks DB, Bergenstal RM, Edelman D, Davidson MB. A new look at screening and diagnosing diabetes mellitus. J Clin Endocrinol Metab 2008;93:2447-53. [PMID: 18460560 DOI: 10.1210/jc.2007-2174] [Cited by in Crossref: 287] [Cited by in F6Publishing: 305] [Article Influence: 20.5] [Reference Citation Analysis]
159 John Wiley & Sons, Ltd. Current literature in diabetes. Diabetes Metab Res Rev 2008;24:i-ix. [DOI: 10.1002/dmrr.879] [Reference Citation Analysis]
160 Cheung N, Wong TY. Diabetic retinopathy and systemic vascular complications. Progress in Retinal and Eye Research 2008;27:161-76. [DOI: 10.1016/j.preteyeres.2007.12.001] [Cited by in Crossref: 137] [Cited by in F6Publishing: 122] [Article Influence: 9.8] [Reference Citation Analysis]
161 Nguyen TT, Wang JJ, Sharrett AR, Islam FM, Klein R, Klein BE, Cotch MF, Wong TY. Relationship of retinal vascular caliber with diabetes and retinopathy: the Multi-Ethnic Study of Atherosclerosis (MESA). Diabetes Care 2008;31:544-9. [PMID: 18070990 DOI: 10.2337/dc07-1528] [Cited by in Crossref: 148] [Cited by in F6Publishing: 154] [Article Influence: 9.9] [Reference Citation Analysis]