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Of no doubt, the whole world is passing through a potentially life-threatening and economically destructive global pandemic caused by the novel coronavirus (COVID-19; SARS-CoV-2; previously known as 2019-nCoV) The clinical course of infection is widely unpredicted and variable, ranging from asymptomatic infection to multi-organ system failure and death Nevertheless, the survival rate among patients with COVID-19 and superimposed acute kidney injury (AKI) remains unclear Hence; we ushered a systemic review and meta-analysis exploring the survival outcome of COVID-19 subjects who developed severe AKI, the latter defined as subjects who require acute renal replacement therapy (RRT) or meet the Kidney Disease Improving Global Outcome (KDIGO) definition of AKI stage III. We included all studies performed on human beings for which baseline creatinine, occurrence of AKI stage III and/or need for acute RRT were reported and excluded case reports, review articles, or studies assessing clinical characteristics and conference abstracts. Ethical approval was not required for this work due to use of anonymous data that is publicly available. A systematic review in Pubmed, Medline, Embase and Cochrane databases to select studies that met the inclusion criteria was performed by 3 authors (H.A, M.M, A.A). The search terms used were (coronavirus, COVID-19, SARS-COV-2 and (mortality, survival, outcomes, dialysis, acute renal failure, acute kidney injury, renal replacement therapy). These search terms were individually used and then combined in different databases. References within the chosen studies were reviewed. All the included studies were reviewed by supervising authors. Any disagreement among authors collecting the data was investigated by supervising authors. Consensus among all authors was essential to include the studies in the systematic review. The following data were collected: name of the first author, journal title, publication date, place of the study, sample size, baseline creatinine, relative risk and confidence intervals for association of acute renal failure and mortality. We followed the recommendations of Cochrane collaboration and the Quality of Reporting of Meta-analyses guidelines STATA package-15 was used for statistical analysis. We combined all study-specific estimates using inverse-variant weighted averages of logarithmic relative risk in random effects model (REM). Confidence interval including the value of one was used evident for statistically significant estimate.