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For: Chan JC, So W, Ma RC, Tong PC, Wong R, Yang X. The Complexity of Vascular and Non-Vascular Complications of Diabetes: The Hong Kong Diabetes Registry. Curr Cardiovasc Risk Rep 2011;5:230-9. [PMID: 21654912 DOI: 10.1007/s12170-011-0172-6] [Cited by in Crossref: 42] [Cited by in F6Publishing: 36] [Article Influence: 3.8] [Reference Citation Analysis]
Number Citing Articles
1 Chan JCN, Zhang Y, Ning G. Diabetes in China: a societal solution for a personal challenge. The Lancet Diabetes & Endocrinology 2014;2:969-79. [DOI: 10.1016/s2213-8587(14)70144-5] [Cited by in Crossref: 126] [Cited by in F6Publishing: 63] [Article Influence: 15.8] [Reference Citation Analysis]
2 Ma RC, Chan JC. Type 2 diabetes in East Asians: similarities and differences with populations in Europe and the United States. Ann N Y Acad Sci. 2013;1281:64-91. [PMID: 23551121 DOI: 10.1111/nyas.12098] [Cited by in Crossref: 401] [Cited by in F6Publishing: 368] [Article Influence: 44.6] [Reference Citation Analysis]
3 Wan EYF, Fong DYT, Fung CSC, Yu EYT, Chin WY, Chan AKC, Lam CLK. Prediction of new onset of end stage renal disease in Chinese patients with type 2 diabetes mellitus - a population-based retrospective cohort study. BMC Nephrol 2017;18:257. [PMID: 28764641 DOI: 10.1186/s12882-017-0671-x] [Cited by in Crossref: 18] [Cited by in F6Publishing: 13] [Article Influence: 3.6] [Reference Citation Analysis]
4 Ng IHY, Cheung KKT, Yau TTL, Chow E, Ozaki R, Chan JCN. Evolution of Diabetes Care in Hong Kong: From the Hong Kong Diabetes Register to JADE-PEARL Program to RAMP and PEP Program. Endocrinol Metab (Seoul) 2018;33:17-32. [PMID: 29589385 DOI: 10.3803/EnM.2018.33.1.17] [Cited by in Crossref: 6] [Cited by in F6Publishing: 5] [Article Influence: 1.5] [Reference Citation Analysis]
5 Ke C, Stukel TA, Shah BR, Lau E, Ma RC, So WY, Kong AP, Chow E, Chan JCN, Luk A. Age at diagnosis, glycemic trajectories, and responses to oral glucose-lowering drugs in type 2 diabetes in Hong Kong: A population-based observational study. PLoS Med 2020;17:e1003316. [PMID: 32946450 DOI: 10.1371/journal.pmed.1003316] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
6 Zhang Y, Ting R, Lam M, Lam J, Nan H, Yeung R, Yang W, Ji L, Weng J, Wing Y, Sartorius N, Chan JC. Measuring depressive symptoms using the Patient Health Questionnaire-9 in Hong Kong Chinese subjects with type 2 diabetes. Journal of Affective Disorders 2013;151:660-6. [DOI: 10.1016/j.jad.2013.07.014] [Cited by in Crossref: 36] [Cited by in F6Publishing: 31] [Article Influence: 4.0] [Reference Citation Analysis]
7 Shu H, Gu LN, Men LC, Lu JM. Lixisenatide Improves Glycemic Control in Asian Type 2 Diabetic Patients Inadequately Controlled With Oral Antidiabetic Drugs: An Individual Patient Data Meta-Analysis. Diabetes Ther 2016;7:777-92. [PMID: 27796905 DOI: 10.1007/s13300-016-0207-6] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.3] [Reference Citation Analysis]
8 Cheng F, Luk AO, Wu H, Tam CHT, Lim CKP, Fan B, Jiang G, Carroll L, Yang A, Lau ESH, Ng ACW, Lee HM, Chow E, Kong APS, Keech AC, Joglekar MV, So WY, Hardikar AA, Chan JCN, Jenkins AJ, Ma RCW. Relative leucocyte telomere length is associated with incident end-stage kidney disease and rapid decline of kidney function in type 2 diabetes: analysis from the Hong Kong Diabetes Register. Diabetologia 2021. [PMID: 34807303 DOI: 10.1007/s00125-021-05613-1] [Reference Citation Analysis]
9 Cheng F, Luk AO, Wu H, Lim CKP, Carroll L, Tam CHT, Fan B, Yang A, Lau ESH, Ng ACW, Lee HM, Chow E, Kong APS, Keech AC, Joglekar MV, So WY, Jenkins AJ, Chan JCN, Hardikar AA, Ma RCW. Shortened relative leukocyte telomere length is associated with all-cause mortality in type 2 diabetes- analysis from the Hong Kong Diabetes Register. Diabetes Res Clin Pract 2021;173:108649. [PMID: 33422583 DOI: 10.1016/j.diabres.2021.108649] [Reference Citation Analysis]
10 Kong APS, Xu G, Brown N, So W, Ma RCW, Chan JCN. Diabetes and its comorbidities—where East meets West. Nat Rev Endocrinol 2013;9:537-47. [DOI: 10.1038/nrendo.2013.102] [Cited by in Crossref: 91] [Cited by in F6Publishing: 81] [Article Influence: 10.1] [Reference Citation Analysis]
11 Goh SY, Ang E, Bajpai S, Deerochanawong C, Hong EG, Hussein Z, Joshi S, Kamaruddin NA, Kho S, Kong AP, Pan CY, Perfetti R, Vichayanrat A, Vlajnic A, Chan JC. A patient-centric approach to optimise insulin therapy in Asia. J Diabetes Complications 2016;30:973-80. [PMID: 27288201 DOI: 10.1016/j.jdiacomp.2016.05.019] [Reference Citation Analysis]
12 Chan JC, Ozaki R, Luk A, Kong AP, Ma RC, Chow FC, Wong P, Wong R, Chung H, Chiu C, Wolthers T, Tong PC, Ko GT, So WY, Lyubomirsky G; JADE Collaborative Study Group. Delivery of integrated diabetes care using logistics and information technology--the Joint Asia Diabetes Evaluation (JADE) program. Diabetes Res Clin Pract 2014;106 Suppl 2:S295-304. [PMID: 25550057 DOI: 10.1016/S0168-8227(14)70733-8] [Cited by in Crossref: 16] [Cited by in F6Publishing: 8] [Article Influence: 2.3] [Reference Citation Analysis]
13 Liu KH, Chu WC, Kong AP, Ko GT, Ma RC, Chan JW, So WY, Luk AO, Cheung KK, Ozaki R, Ahuja AT, Chan JC. Intrarenal arterial resistance is associated with microvascular complications in Chinese type 2 diabetic patients. Nephrol Dial Transplant 2013;28:651-8. [PMID: 23223219 DOI: 10.1093/ndt/gfs471] [Cited by in Crossref: 6] [Cited by in F6Publishing: 5] [Article Influence: 0.6] [Reference Citation Analysis]
14 Deerochanawong C, Bajpai S, Dwipayana IMP, Hussein Z, Mabunay MA, Rosales R, Tsai ST, Tsang MW. Optimizing Glycemic Control Through Titration of Insulin Glargine 100 U/mL: A Review of Current and Future Approaches with a Focus on Asian Populations. Diabetes Ther 2017;8:1197-214. [PMID: 29094298 DOI: 10.1007/s13300-017-0322-z] [Cited by in Crossref: 6] [Cited by in F6Publishing: 5] [Article Influence: 1.2] [Reference Citation Analysis]
15 Chan JCN, Chow EYK, Luk AO. Diabetes in China and the Western Pacific Region. In: Dagogo-jack S, editor. Diabetes Mellitus in Developing Countries and Underserved Communities. Cham: Springer International Publishing; 2017. pp. 63-83. [DOI: 10.1007/978-3-319-41559-8_5] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]
16 Lam VK, Ma RC, Lee HM, Hu C, Park KS, Furuta H, Wang Y, Tam CH, Sim X, Ng DP, Liu J, Wong TY, Tai ES, Morris AP, Tang NL, Woo J, Leung PC, Kong AP, Ozaki R, Jia WP, Lee HK, Nanjo K, Xu G, Ng MC, So WY, Chan JC; DIAGRAM Consortium. Genetic associations of type 2 diabetes with islet amyloid polypeptide processing and degrading pathways in asian populations. PLoS One 2013;8:e62378. [PMID: 23776430 DOI: 10.1371/journal.pone.0062378] [Cited by in Crossref: 6] [Cited by in F6Publishing: 3] [Article Influence: 0.7] [Reference Citation Analysis]
17 Chan JC, Lau ES, Luk AO, Cheung KK, Kong AP, Yu LW, Choi K, Chow FC, Ozaki R, Brown N, Yang X, Bennett PH, Ma RC, So W. Premature Mortality and Comorbidities in Young-onset Diabetes: A 7-Year Prospective Analysis. The American Journal of Medicine 2014;127:616-24. [DOI: 10.1016/j.amjmed.2014.03.018] [Cited by in Crossref: 67] [Cited by in F6Publishing: 59] [Article Influence: 8.4] [Reference Citation Analysis]
18 Kong AP, Yang X, So WY, Luk A, Ma RC, Ozaki R, Cheung KK, Lee HM, Yu L, Xu G. Additive effects of blood glucose lowering drugs, statins and renin-angiotensin system blockers on all-site cancer risk in patients with type 2 diabetes. BMC Med. 2014;12:76. [PMID: 24886453 DOI: 10.1186/1741-7015-12-76] [Cited by in Crossref: 16] [Cited by in F6Publishing: 15] [Article Influence: 2.0] [Reference Citation Analysis]
19 Ke C, Stukel TA, Luk A, Shah BR, Jha P, Lau E, Ma RCW, So WY, Kong AP, Chow E, Chan JCN. Development and validation of algorithms to classify type 1 and 2 diabetes according to age at diagnosis using electronic health records. BMC Med Res Methodol 2020;20:35. [PMID: 32093635 DOI: 10.1186/s12874-020-00921-3] [Cited by in Crossref: 7] [Cited by in F6Publishing: 4] [Article Influence: 3.5] [Reference Citation Analysis]
20 Lim LL, Lau ESH, Ozaki R, Chung H, Fu AWC, Chan W, Kong APS, Ma RCW, So WY, Chow E, Cheung KKT, Yau T, Chow CC, Lau V, Yue R, Ng S, Zee B, Goggins W, Oldenburg B, Clarke PM, Lau M, Wong R, Tsang CC, Gregg EW, Wu H, Tong PCY, Ko GTC, Luk AOY, Chan JCN. Association of technologically assisted integrated care with clinical outcomes in type 2 diabetes in Hong Kong using the prospective JADE Program: A retrospective cohort analysis. PLoS Med 2020;17:e1003367. [PMID: 33007052 DOI: 10.1371/journal.pmed.1003367] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
21 Liu L, Xia R, Song X, Zhang B, He W, Zhou X, Li S, Yuan G. Association between the triglyceride-glucose index and diabetic nephropathy in patients with type 2 diabetes: A cross-sectional study. J Diabetes Investig 2021;12:557-65. [PMID: 33319507 DOI: 10.1111/jdi.13371] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 1.5] [Reference Citation Analysis]
22 Wan EYF, Fong DYT, Fung CSC, Yu EYT, Chin WY, Chan AKC, Lam CLK. Prediction of five-year all-cause mortality in Chinese patients with type 2 diabetes mellitus - A population-based retrospective cohort study. J Diabetes Complications 2017;31:939-44. [PMID: 28238555 DOI: 10.1016/j.jdiacomp.2017.01.017] [Cited by in Crossref: 9] [Cited by in F6Publishing: 9] [Article Influence: 1.8] [Reference Citation Analysis]
23 Ma RC, Lee HM, Lam VK, Tam CH, Ho JS, Zhao HL, Guan J, Kong AP, Lau E, Zhang G, Luk A, Wang Y, Tsui SK, Chan TF, Hu C, Jia WP, Park KS, Lee HK, Furuta H, Nanjo K, Tai ES, Ng DP, Tang NL, Woo J, Leung PC, Xue H, Wong J, Leung PS, Lau TC, Tong PC, Xu G, Ng MC, So WY, Chan JC. Familial young-onset diabetes, pre-diabetes and cardiovascular disease are associated with genetic variants of DACH1 in Chinese. PLoS One 2014;9:e84770. [PMID: 24465431 DOI: 10.1371/journal.pone.0084770] [Cited by in Crossref: 12] [Cited by in F6Publishing: 12] [Article Influence: 1.5] [Reference Citation Analysis]
24 Chew B, Lee P, Cheong A, Ismail M, Bujang M, Haniff J, Taher S, Goh P. Complication profiles and their associated factors in Malaysian adult type 2 diabetes mellitus—an analysis of ADCM registry. Int J Diabetes Dev Ctries 2015;35:356-67. [DOI: 10.1007/s13410-015-0298-z] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.1] [Reference Citation Analysis]
25 Ozaki R, Cheung KK, Wu E, Kong A, Yang X, Lau E, Brunswick P, Calvet JH, Deslypere JP, Chan JC. A new tool to detect kidney disease in Chinese type 2 diabetes patients: comparison of EZSCAN with standard screening methods. Diabetes Technol Ther 2011;13:937-43. [PMID: 21714678 DOI: 10.1089/dia.2011.0023] [Cited by in Crossref: 23] [Cited by in F6Publishing: 17] [Article Influence: 2.1] [Reference Citation Analysis]
26 Hung HHY, Chan EYY, Chow EYK, Chung GKK, Lai FTT, Yeoh EK. Non-skilled occupation as a risk factor of diabetes among working population: A population-based study of community-dwelling adults in Hong Kong. Health Soc Care Community 2021. [PMID: 34169598 DOI: 10.1111/hsc.13415] [Reference Citation Analysis]
27 Chan JCN, Lim LL, Wareham NJ, Shaw JE, Orchard TJ, Zhang P, Lau ESH, Eliasson B, Kong APS, Ezzati M, Aguilar-Salinas CA, McGill M, Levitt NS, Ning G, So WY, Adams J, Bracco P, Forouhi NG, Gregory GA, Guo J, Hua X, Klatman EL, Magliano DJ, Ng BP, Ogilvie D, Panter J, Pavkov M, Shao H, Unwin N, White M, Wou C, Ma RCW, Schmidt MI, Ramachandran A, Seino Y, Bennett PH, Oldenburg B, Gagliardino JJ, Luk AOY, Clarke PM, Ogle GD, Davies MJ, Holman RR, Gregg EW. The Lancet Commission on diabetes: using data to transform diabetes care and patient lives. Lancet 2021;396:2019-82. [PMID: 33189186 DOI: 10.1016/S0140-6736(20)32374-6] [Cited by in Crossref: 33] [Cited by in F6Publishing: 16] [Article Influence: 16.5] [Reference Citation Analysis]
28 Tam CH, Ho JS, Wang Y, Lam VK, Lee HM, Jiang G, Lau ES, Kong AP, Fan X, Woo JL, Tsui SK, Ng MC, So WY, Chan JC, Ma RC. Use of net reclassification improvement (NRI) method confirms the utility of combined genetic risk score to predict type 2 diabetes. PLoS One 2013;8:e83093. [PMID: 24376643 DOI: 10.1371/journal.pone.0083093] [Cited by in Crossref: 25] [Cited by in F6Publishing: 22] [Article Influence: 2.8] [Reference Citation Analysis]
29 Jiang G, Hu C, Tam CH, Lau ES, Wang Y, Luk AO, Yang X, Kong AP, Ho JS, Lam VK, Lee HM, Wang J, Zhang R, Tsui SK, Ng MC, Szeto CC, Jia W, Fan X, So WY, Chan JC, Ma RC. Genetic and clinical variables identify predictors for chronic kidney disease in type 2 diabetes. Kidney Int 2016;89:411-20. [PMID: 26806836 DOI: 10.1016/j.kint.2015.09.001] [Cited by in Crossref: 13] [Cited by in F6Publishing: 9] [Article Influence: 2.2] [Reference Citation Analysis]
30 Yeung RO, Zhang Y, Luk A, Yang W, Sobrepena L, Yoon K, Aravind SR, Sheu W, Nguyen TK, Ozaki R, Deerochanawong C, Tsang CC, Chan W, Hong EG, Do TQ, Cheung Y, Brown N, Goh SY, Ma RC, Mukhopadhyay M, Ojha AK, Chakraborty S, Kong AP, Lau W, Jia W, Li W, Guo X, Bian R, Weng J, Ji L, Rosa MR, Toledo RM, Himathongkam T, Yoo S, Chow CC, Ho LL, Chuang L, Tutino G, Tong PC, So W, Wolthers T, Ko G, Lyubomirsky G, Chan JCN. Metabolic profiles and treatment gaps in young-onset type 2 diabetes in Asia (the JADE programme): a cross-sectional study of a prospective cohort. The Lancet Diabetes & Endocrinology 2014;2:935-43. [DOI: 10.1016/s2213-8587(14)70137-8] [Cited by in Crossref: 125] [Cited by in F6Publishing: 55] [Article Influence: 15.6] [Reference Citation Analysis]
31 Narh CT, Der JB, Ofosu A, Blettner M, Wollschlaeger D. Trends in hospitalization of patients with diabetes mellitus in Ghana from 2012 to 2017 with predictions to 2032. Int Health 2021:ihab076. [PMID: 34849982 DOI: 10.1093/inthealth/ihab076] [Reference Citation Analysis]
32 Fung ACH, Tse G, Cheng HL, Lau ESH, Luk A, Ozaki R, So TTY, Wong RYM, Tsoh J, Chow E, Wing YK, Chan JCN, Kong APS. Depressive Symptoms, Co-Morbidities, and Glycemic Control in Hong Kong Chinese Elderly Patients With Type 2 Diabetes Mellitus. Front Endocrinol (Lausanne) 2018;9:261. [PMID: 29896155 DOI: 10.3389/fendo.2018.00261] [Cited by in Crossref: 10] [Cited by in F6Publishing: 9] [Article Influence: 2.5] [Reference Citation Analysis]
33 Wetmore JB, Li S, Ton TGN, Peng Y, Hansen MK, Neslusan C, Riley R, Liu J, Gilbertson DT. Association of diabetes-related kidney disease with cardiovascular and non-cardiovascular outcomes: a retrospective cohort study. BMC Endocr Disord 2019;19:89. [PMID: 31455289 DOI: 10.1186/s12902-019-0417-9] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 1.7] [Reference Citation Analysis]
34 Dong W, Wan EYF, Bedford LE, Wu T, Wong CKH, Tang EHM, Lam CLK. Prediction models for the risk of cardiovascular diseases in Chinese patients with type 2 diabetes mellitus: a systematic review. Public Health 2020;186:144-56. [PMID: 32836004 DOI: 10.1016/j.puhe.2020.06.020] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
35 Saxena Y, Purwar B, Meena H, Sarthi P. Dolichos biflorus Linn. ameliorates diabetic complications in streptozotocin induced diabetic rats. Ayu 2014;35:442-6. [PMID: 26195910 DOI: 10.4103/0974-8520.159022] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.1] [Reference Citation Analysis]
36 Ma RCW. Epidemiology of diabetes and diabetic complications in China. Diabetologia. 2018;61:1249-1260. [PMID: 29392352 DOI: 10.1007/s00125-018-4557-7] [Cited by in Crossref: 94] [Cited by in F6Publishing: 83] [Article Influence: 23.5] [Reference Citation Analysis]
37 Rhee EJ. Diabetes in Asians. Endocrinol Metab (Seoul) 2015;30:263-9. [PMID: 26435131 DOI: 10.3803/EnM.2015.30.3.263] [Cited by in Crossref: 69] [Cited by in F6Publishing: 38] [Article Influence: 9.9] [Reference Citation Analysis]
38 Song X, Pan D, Liu P, Cai J. Bayesian analysis of transformation latent variable models with multivariate censored data. Stat Methods Med Res 2016;25:2337-58. [DOI: 10.1177/0962280214522786] [Cited by in Crossref: 10] [Cited by in F6Publishing: 7] [Article Influence: 1.7] [Reference Citation Analysis]
39 Wan EYF, Fong DYT, Fung CSC, Yu EYT, Chin WY, Chan AKC, Lam CLK. Classification Rule for 5-year Cardiovascular Diseases Risk using decision tree in Primary Care Chinese Patients with Type 2 Diabetes Mellitus. Sci Rep 2017;7:15238. [PMID: 29127341 DOI: 10.1038/s41598-017-15579-z] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 0.4] [Reference Citation Analysis]
40 Wan EYF, Fong DYT, Fung CSC, Yu EYT, Chin WY, Chan AKC, Lam CLK. Development of a cardiovascular diseases risk prediction model and tools for Chinese patients with type 2 diabetes mellitus: A population-based retrospective cohort study. Diabetes Obes Metab 2018;20:309-18. [PMID: 28722290 DOI: 10.1111/dom.13066] [Cited by in Crossref: 13] [Cited by in F6Publishing: 9] [Article Influence: 2.6] [Reference Citation Analysis]