1 |
Middleton P, Hsu C, Lythgoe MP. Clinical outcomes in COVID-19 and cirrhosis: a systematic review and meta-analysis of observational studies. BMJ Open Gastroenterol 2021;8:e000739. [PMID: 34675033 DOI: 10.1136/bmjgast-2021-000739] [Reference Citation Analysis]
|
2 |
Su HY, Hsu YC. Patients with cirrhosis during the COVID-19 pandemic: Current evidence and future perspectives . World J Clin Cases 2021; 9(13): 2951-2968 [PMID: 33969082 DOI: 10.12998/wjcc.v9.i13.2951] [Reference Citation Analysis]
|
3 |
Bakin EA, Stanevich OV, Chmelevsky MP, Belash VA, Belash AA, Savateeva GA, Bokinova VA, Arsentieva NA, Sayenko LF, Korobenkov EA, Lioznov DA, Totolian AA, Polushin YS, Kulikov AN. A Novel Approach for COVID-19 Patient Condition Tracking: From Instant Prediction to Regular Monitoring. Front Med (Lausanne) 2021;8:744652. [PMID: 34950678 DOI: 10.3389/fmed.2021.744652] [Reference Citation Analysis]
|
4 |
Bender JM, Worman HJ. Jaundice in patients with COVID-19. JGH Open 2021;5:1166-71. [PMID: 34622003 DOI: 10.1002/jgh3.12645] [Reference Citation Analysis]
|
5 |
Kar S, Chawla R, Haranath SP, Ramasubban S, Ramakrishnan N, Vaishya R, Sibal A, Reddy S. Multivariable mortality risk prediction using machine learning for COVID-19 patients at admission (AICOVID). Sci Rep 2021;11:12801. [PMID: 34140592 DOI: 10.1038/s41598-021-92146-7] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 4.0] [Reference Citation Analysis]
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