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Cited by in F6Publishing
For: Lee S, Li KHC, Zhou J, Leung KSK, Lai RWC, Li G, Liu T, Letsas KP, Mok NS, Zhang Q, Tse G. Outcomes in Brugada Syndrome Patients With Implantable Cardioverter-Defibrillators: Insights From the SGLT2 Registry. Front Physiol 2020;11:204. [PMID: 32210841 DOI: 10.3389/fphys.2020.00204] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 2.7] [Reference Citation Analysis]
Number Citing Articles
1 Leung KSK, Radford D, Huang H, Lakhani I, Li CKH, Hothi SS, Wai AKC, Liu T, Tse G, Lee S. Risk stratification of sudden cardiac death in asymptomatic female Brugada syndrome patients: A literature review. Ann Noninvasive Electrocardiol 2023;28:e13030. [PMID: 36628595 DOI: 10.1111/anec.13030] [Reference Citation Analysis]
2 Lee S, Chung CT, Chou OHI, Lee TTL, Radford D, Jeevaratnam K, Wong WT, Cheng SH, Mok NS, Liu T, Tse G. Attendance-related Healthcare Resource Utilisation and Costs in Patients With Brugada Syndrome in Hong Kong: A Retrospective Cohort Study. Curr Probl Cardiol 2023;48:101513. [PMID: 36414041 DOI: 10.1016/j.cpcardiol.2022.101513] [Reference Citation Analysis]
3 Russo V, Caturano A, Guerra F, Migliore F, Mascia G, Rossi A, Nesti M, Santobuono VE, Attena E, Tola G, Sciarra L, Conte G, Paoletti Perini A, Francia P, Dendramis G, Palamà Z, Albani S, Ottonelli Ghidini A, Calò L, D'Onofrio A, Baldi E; IBRYD Study Group. Subcutaneous versus transvenous implantable cardioverter-defibrillator among drug-induced type-1 ECG pattern Brugada syndrome: a propensity score matching analysis from IBRYD study. Heart Vessels 2022. [PMID: 36418560 DOI: 10.1007/s00380-022-02204-x] [Reference Citation Analysis]
4 Baranchuk A, Lee S, Ling Shum Y, Tse G, Liu T. Cardiovascular research mentorship platforms: Productivity, diversity, inclusion, and equity. Ann Clin Cardiol 2022;4:15. [DOI: 10.4103/accj.accj_3_22] [Reference Citation Analysis]
5 Lee S, Zhou J, Li KHC, Leung KSK, Lakhani I, Liu T, Wong ICK, Mok NS, Mak C, Jeevaratnam K, Zhang Q, Tse G. Territory-wide cohort study of Brugada syndrome in Hong Kong: predictors of long-term outcomes using random survival forests and non-negative matrix factorisation. Open Heart 2021;8:e001505. [PMID: 33547222 DOI: 10.1136/openhrt-2020-001505] [Cited by in Crossref: 14] [Cited by in F6Publishing: 14] [Article Influence: 7.0] [Reference Citation Analysis]
6 Tse G, Lee S, Zhou J, Liu T, Wong ICK, Mak C, Mok NS, Jeevaratnam K, Zhang Q, Cheng SH, Wong WT. Territory-Wide Chinese Cohort of Long QT Syndrome: Random Survival Forest and Cox Analyses. Front Cardiovasc Med 2021;8:608592. [PMID: 33614747 DOI: 10.3389/fcvm.2021.608592] [Cited by in Crossref: 12] [Cited by in F6Publishing: 12] [Article Influence: 6.0] [Reference Citation Analysis]
7 Lee S, Zhou J, Jeevaratnam K, Lakhani I, Wong WT, Kei Wong IC, Mak C, Mok NS, Liu T, Zhang Q, Tse G. Arrhythmic Outcomes in Catecholaminergic Polymorphic Ventricular Tachycardia.. [DOI: 10.1101/2021.01.04.21249214] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
8 Tse G, Zhou J, Lee S, Liu T, Bazoukis G, Mililis P, Wong ICK, Chen C, Xia Y, Kamakura T, Aiba T, Kusano K, Zhang Q, Letsas KP. Incorporating Latent Variables Using Nonnegative Matrix Factorization Improves Risk Stratification in Brugada Syndrome. J Am Heart Assoc 2020;9:e012714. [PMID: 33170070 DOI: 10.1161/JAHA.119.012714] [Cited by in Crossref: 16] [Cited by in F6Publishing: 18] [Article Influence: 5.3] [Reference Citation Analysis]
9 Tse G, Lee S, Liu T, Yuen HC, Wong ICK, Mak C, Mok NS, Wong WT. Identification of Novel SCN5A Single Nucleotide Variants in Brugada Syndrome: A Territory-Wide Study From Hong Kong. Front Physiol 2020;11:574590. [PMID: 33071830 DOI: 10.3389/fphys.2020.574590] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 1.3] [Reference Citation Analysis]
10 Lee S, Zhou J, Liu T, Letsas KP, Hothi SS, Vassiliou VS, Li G, Baranchuk A, Sy RW, Chang D, Zhang Q, Tse G. Temporal Variability in Electrocardiographic Indices in Subjects With Brugada Patterns. Front Physiol 2020;11:953. [PMID: 33013434 DOI: 10.3389/fphys.2020.00953] [Cited by in Crossref: 7] [Cited by in F6Publishing: 7] [Article Influence: 2.3] [Reference Citation Analysis]
11 Tse G, Lee S, Mok NS, Liu T, Chang D. Incidence and predictors of atrial fibrillation in a Chinese cohort of Brugada syndrome. Int J Cardiol 2020;314:54-7. [PMID: 32387420 DOI: 10.1016/j.ijcard.2020.05.007] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 1.7] [Reference Citation Analysis]