2021
DOI: 10.21037/tau-20-1533
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A novel genomic model for predicting the likelihood of delayed graft function in DCD kidney transplantation

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Cited by 2 publications
(1 citation statement)
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“…Transcriptomic signatures measured in samples of kidney tissue after NMP may be able to predict graft outcome. A bioinformatic analysis performed by researchers at Wuhan University Hospital has identified a set of five genes, the level of transcription of which in post-implantation biopsies was predictive for DGF [103]. The authors postulate their genomic model could have value when used in conjunction with genomic data acquired from kidneys undergoing NMP.…”
Section: Assessment Of Graft Quality During Nmpmentioning
confidence: 99%
“…Transcriptomic signatures measured in samples of kidney tissue after NMP may be able to predict graft outcome. A bioinformatic analysis performed by researchers at Wuhan University Hospital has identified a set of five genes, the level of transcription of which in post-implantation biopsies was predictive for DGF [103]. The authors postulate their genomic model could have value when used in conjunction with genomic data acquired from kidneys undergoing NMP.…”
Section: Assessment Of Graft Quality During Nmpmentioning
confidence: 99%