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Predictive value of suPAR in AKI: a systematic review and meta-analysis
BACKGROUND: Some clinical trials have shown that soluble urokinase-type plasminogen activator receptor (suPAR) has good predictive value for acute kidney injury (AKI), but there is still a lack of evidence-based proof. Therefore, we conducted this systematic review and meta-analysis to evaluate the...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Nature Singapore
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9734903/ https://www.ncbi.nlm.nih.gov/pubmed/36469196 http://dx.doi.org/10.1007/s10157-022-02300-2 |
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author | Huang, Yan Huang, Shengchun Zhuo, Xueya Lin, Mintao |
author_facet | Huang, Yan Huang, Shengchun Zhuo, Xueya Lin, Mintao |
author_sort | Huang, Yan |
collection | PubMed |
description | BACKGROUND: Some clinical trials have shown that soluble urokinase-type plasminogen activator receptor (suPAR) has good predictive value for acute kidney injury (AKI), but there is still a lack of evidence-based proof. Therefore, we conducted this systematic review and meta-analysis to evaluate the predictive value of suPAR for AKI. METHODS: Pubmed, EMBASE, Cochrane Library, and Web of Science databases were searched until December 2021 to obtain the literature on the prediction of suPAR for AKI. The quality of the included studies was assessed using the QUADAS-2 scoring system, and a bivariate random-effect model was used for the meta-analysis. The present study has been registered on PROSPERO (Registration No. CRD42022324978). RESULTS: Seven articles were included, involving 2,319 patients, 635 of whom were AKI patients. The meta-analysis results showed that the combined sensitivity of suPAR in predicting AKI was 0.77 (95% CI 0.67–0.84); the specificity was 0.64 (95% CI 0.53–0.75); the odds ratio of diagnosis was 6 (95% CI 3–10); the pooled positive likelihood ratio was 2.2 (95% CI 1.6–2.9); the pooled negative likelihood ratio was 0.36 (95% CI 0.26–0.52); and the area under the summary receiver-operating characteristic (SROC) curve was 0.77 (95% CI 0.12~0.99). Deek’s funnel plot suggested no potential publication bias among included studies. CONCLUSION: suPAR is a valuable biomarker for the prediction of AKI with relatively high predictive accuracy, but its clinical application needs improvements. SuPAR should be considered as an indicator in the subsequent development of more effective predictive tools for AKI. |
format | Online Article Text |
id | pubmed-9734903 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Nature Singapore |
record_format | MEDLINE/PubMed |
spelling | pubmed-97349032022-12-12 Predictive value of suPAR in AKI: a systematic review and meta-analysis Huang, Yan Huang, Shengchun Zhuo, Xueya Lin, Mintao Clin Exp Nephrol Review Article BACKGROUND: Some clinical trials have shown that soluble urokinase-type plasminogen activator receptor (suPAR) has good predictive value for acute kidney injury (AKI), but there is still a lack of evidence-based proof. Therefore, we conducted this systematic review and meta-analysis to evaluate the predictive value of suPAR for AKI. METHODS: Pubmed, EMBASE, Cochrane Library, and Web of Science databases were searched until December 2021 to obtain the literature on the prediction of suPAR for AKI. The quality of the included studies was assessed using the QUADAS-2 scoring system, and a bivariate random-effect model was used for the meta-analysis. The present study has been registered on PROSPERO (Registration No. CRD42022324978). RESULTS: Seven articles were included, involving 2,319 patients, 635 of whom were AKI patients. The meta-analysis results showed that the combined sensitivity of suPAR in predicting AKI was 0.77 (95% CI 0.67–0.84); the specificity was 0.64 (95% CI 0.53–0.75); the odds ratio of diagnosis was 6 (95% CI 3–10); the pooled positive likelihood ratio was 2.2 (95% CI 1.6–2.9); the pooled negative likelihood ratio was 0.36 (95% CI 0.26–0.52); and the area under the summary receiver-operating characteristic (SROC) curve was 0.77 (95% CI 0.12~0.99). Deek’s funnel plot suggested no potential publication bias among included studies. CONCLUSION: suPAR is a valuable biomarker for the prediction of AKI with relatively high predictive accuracy, but its clinical application needs improvements. SuPAR should be considered as an indicator in the subsequent development of more effective predictive tools for AKI. Springer Nature Singapore 2022-12-05 2023 /pmc/articles/PMC9734903/ /pubmed/36469196 http://dx.doi.org/10.1007/s10157-022-02300-2 Text en © The Author(s), under exclusive licence to The Japanese Society of Nephrology 2022, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Review Article Huang, Yan Huang, Shengchun Zhuo, Xueya Lin, Mintao Predictive value of suPAR in AKI: a systematic review and meta-analysis |
title | Predictive value of suPAR in AKI: a systematic review and meta-analysis |
title_full | Predictive value of suPAR in AKI: a systematic review and meta-analysis |
title_fullStr | Predictive value of suPAR in AKI: a systematic review and meta-analysis |
title_full_unstemmed | Predictive value of suPAR in AKI: a systematic review and meta-analysis |
title_short | Predictive value of suPAR in AKI: a systematic review and meta-analysis |
title_sort | predictive value of supar in aki: a systematic review and meta-analysis |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9734903/ https://www.ncbi.nlm.nih.gov/pubmed/36469196 http://dx.doi.org/10.1007/s10157-022-02300-2 |
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