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在一项系统评价和荟萃分析研究中确定2019冠状病毒病感染肾移植受者不良结局预测因素的方法

Method for determining predictor factor for worse outcomes in kidney transplant recipients infected with coronavirus disease 2019 in a systematic review and meta-analysis research.

作者信息

Duarsa Gede Wirya Kusuma, Sugianto Ronald, Yusari I Gusti Agung Ayu Andra, Tirtayasa Pande Made Wisnu, Situmorang Gerhard Reinaldi, Rasyid Nur, Rodjani Arry, Daryanto Besut, Seputra Kurnia Penta, Satyagraha Paksi

机构信息

Department of Urology, Faculty of Medicine, Universitas Udayana, Prof. Dr. I.G.N.G Ngoerah General Hospital, Bali, Indonesia.

Medical Doctor Study Program, Faculty of Medicine, Universitas Udayana, Bali, Indonesia.

出版信息

MethodsX. 2023 Dec;11:102250. doi: 10.1016/j.mex.2023.102250. Epub 2023 Jun 11.

Abstract

The systematic review and meta-analysis were conducted for COVID-19 infections in kidney transplant patients. Recent research on this topic was still scarce and limited meta-analysis research discussion, specific to some risks or treatment in kidney transplantation patients with COVID-19 infection. Therefore, this article demonstrated the fundamental steps to conducting systematic review and meta-analysis studies to derive a pooled estimate of predictor factors of worse outcomes in kidney transplant patients with positive for the SARS-CoV- 2 test•PICOT Framework to determine the research scope•PRISMA strategy for study selection•Forest Plot for meta-analysis study.

摘要

针对肾移植患者的新型冠状病毒肺炎(COVID-19)感染进行了系统评价和荟萃分析。关于这一主题的近期研究仍然很少,且针对COVID-19感染的肾移植患者的一些风险或治疗的荟萃分析研究讨论有限。因此,本文展示了进行系统评价和荟萃分析研究的基本步骤,以得出SARS-CoV-2检测呈阳性的肾移植患者不良结局预测因素的汇总估计值•用于确定研究范围的PICOT框架•用于研究选择的PRISMA策略•用于荟萃分析研究的森林图。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51ec/10719536/da133c9ef820/ga1.jpg

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