| Empagliflozin, a sodium glucose co-transporter-2 inhibitor, alleviates atrial remodeling and improves mitochondrial function in high-fat diet/streptozotocin-induced diabetic rats Q Shao, L Meng, S Lee, G Tse, M Gong, Z Zhang, J Zhao, Y Zhao, G Li, ... Cardiovascular diabetology 18, 1-14, 2019 | 254 | 2019 |
| Predictions of diabetes complications and mortality using hba1c variability: a 10-year observational cohort study S Lee, T Liu, J Zhou, Q Zhang, WT Wong, G Tse Acta diabetologica 58, 171-180, 2021 | 117 | 2021 |
| Glycemic and lipid variability for predicting complications and mortality in diabetes mellitus using machine learning S Lee, J Zhou, WT Wong, T Liu, WKK Wu, ICK Wong, Q Zhang, G Tse BMC endocrine disorders 21, 1-15, 2021 | 90 | 2021 |
| Sodium-glucose cotransporter 2 (SGLT2) inhibitors vs. dipeptidyl peptidase-4 (DPP4) inhibitors for new-onset dementia: a propensity score-matched population-based study with … JV Mui, J Zhou, S Lee, KSK Leung, TTL Lee, OHI Chou, SL Tsang, ... Frontiers in cardiovascular medicine 8, 747620, 2021 | 80 | 2021 |
| Value of electrocardiography in coronavirus disease 2019 (COVID-19) S Haseeb, EE Gul, G Çinier, G Bazoukis, J Alvarez-Garcia, ... Journal of electrocardiology 62, 39-45, 2020 | 76 | 2020 |
| Brugada syndrome: a comprehensive review of pathophysiological mechanisms and risk stratification strategies KHC Li, S Lee, C Yin, T Liu, T Ngarmukos, G Conte, GX Yan, RW Sy, ... IJC Heart & Vasculature 26, 100468, 2020 | 75 | 2020 |
| Proton pump inhibitor or famotidine use and severe COVID-19 disease: a propensity score-matched territory-wide study J Zhou, X Wang, S Lee, WKK Wu, BMY Cheung, Q Zhang, G Tse Gut 70 (10), 2012-2013, 2021 | 68 | 2021 |
| Diagnostic and prognostic value of serum C-reactive protein in heart failure with preserved ejection fraction: a systematic review and meta-analysis I Lakhani, MV Wong, JKF Hung, M Gong, KB Waleed, Y Xia, S Lee, ... Heart failure reviews 26, 1141-1150, 2021 | 61 | 2021 |
| Territory-wide cohort study of Brugada syndrome in Hong Kong: predictors of long-term outcomes using random survival forests and non-negative matrix factorisation S Lee, J Zhou, KHC Li, KSK Leung, I Lakhani, T Liu, ICK Wong, NS Mok, ... Open Heart 8 (1), 2021 | 51 | 2021 |
| Multi‐modality machine learning approach for risk stratification in heart failure with left ventricular ejection fraction≤ 45% G Tse, J Zhou, SWD Woo, CH Ko, RWC Lai, T Liu, Y Liu, KSK Leung, A Li, ... ESC heart failure 7 (6), 3716-3725, 2020 | 50 | 2020 |
| Arrhythmias and electrocardiographic findings in coronavirus disease 2019: a systematic review and meta‐analysis S Garcia‐Zamora, S Lee, S Haseeb, G Bazoukis, G Tse, J Alvarez‐Garcia, ... Pacing and Clinical Electrophysiology 44 (6), 1062-1074, 2021 | 48 | 2021 |
| Development of a multivariable prediction model for severe COVID-19 disease: a population-based study from Hong Kong J Zhou, S Lee, X Wang, Y Li, WKK Wu, T Liu, Z Cao, DD Zeng, KSK Leung, ... NPJ digital medicine 4 (1), 66, 2021 | 44 | 2021 |
| Tpeak‐Tend, Tpeak‐Tend/QT ratio and Tpeak‐Tend dispersion for risk stratification in Brugada Syndrome: A systematic review and meta‐analysis G Tse, M Gong, CKH Li, KSK Leung, S Georgopoulos, G Bazoukis, ... Journal of arrhythmia 34 (6), 587-597, 2018 | 43 | 2018 |
| Comparison of sodium-glucose cotransporter-2 inhibitor and dipeptidyl peptidase-4 inhibitor on the risks of new-onset atrial fibrillation, stroke and mortality in diabetic … S Lee, J Zhou, KSK Leung, AKC Wai, K Jeevaratnam, E King, T Liu, ... Cardiovascular drugs and therapy 37 (3), 561-569, 2023 | 41 | 2023 |
| Predictive scores for identifying patients with type 2 diabetes mellitus at risk of acute myocardial infarction and sudden cardiac death S Lee, J Zhou, CL Guo, WT Wong, T Liu, ICK Wong, K Jeevaratnam, ... Endocrinology, diabetes & metabolism 4 (3), e00240, 2021 | 41 | 2021 |
| Incorporating latent variables using nonnegative matrix factorization improves risk stratification in Brugada syndrome G Tse, J Zhou, S Lee, T Liu, G Bazoukis, P Mililis, ICK Wong, C Chen, ... Journal of the American Heart Association 9 (22), e012714, 2020 | 41 | 2020 |
| Derivation of an electronic frailty index for predicting short‐term mortality in heart failure: a machine learning approach C Ju, J Zhou, S Lee, MS Tan, T Liu, G Bazoukis, K Jeevaratnam, ... ESC heart failure 8 (4), 2837-2845, 2021 | 38 | 2021 |
| Clinical significance, challenges and limitations in using artificial intelligence for electrocardiography-based diagnosis CT Chung, S Lee, E King, T Liu, AA Armoundas, G Bazoukis, G Tse International journal of arrhythmia 23 (1), 24, 2022 | 37 | 2022 |
| Lower risk of gout in sodium glucose cotransporter 2 (SGLT2) inhibitors versus dipeptidyl peptidase-4 (DPP4) inhibitors in type-2 diabetes J Zhou, X Liu, OHI Chou, L Li, S Lee, WT Wong, Q Zhang, C Chang, T Liu, ... Rheumatology 62 (4), 1501-1510, 2023 | 36 | 2023 |
| Soluble suppression of tumorigenicity 2 (sST2) for predicting disease severity or mortality outcomes in cardiovascular diseases: A systematic review and meta-analysis C Ip, KS Luk, VLC Yuen, L Chiang, CK Chan, K Ho, M Gong, TTL Lee, ... IJC Heart & Vasculature 37, 100887, 2021 | 36 | 2021 |
