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Effect of different types of statins on kidney function decline and proteinuria: a network meta-analysis

Previous studies showed that statins reduce the progression of kidney function decline and proteinuria, but whether specific types of statins are more beneficial than others remains unclear. We performed a network meta-analysis of randomized controlled trials (RCT) to investigate which statin most e...

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Autores principales: Esmeijer, K., Dekkers, Olaf M., de Fijter, Johan W., Dekker, Friedo W., Hoogeveen, Ellen K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6851118/
https://www.ncbi.nlm.nih.gov/pubmed/31719617
http://dx.doi.org/10.1038/s41598-019-53064-x
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author Esmeijer, K.
Dekkers, Olaf M.
de Fijter, Johan W.
Dekker, Friedo W.
Hoogeveen, Ellen K.
author_facet Esmeijer, K.
Dekkers, Olaf M.
de Fijter, Johan W.
Dekker, Friedo W.
Hoogeveen, Ellen K.
author_sort Esmeijer, K.
collection PubMed
description Previous studies showed that statins reduce the progression of kidney function decline and proteinuria, but whether specific types of statins are more beneficial than others remains unclear. We performed a network meta-analysis of randomized controlled trials (RCT) to investigate which statin most effectively reduces kidney function decline and proteinuria. We searched MEDLINE, Embase, Web of Science, and the Cochrane database until July 13, 2018, and included 43 RCTs (>110,000 patients). We performed a pairwise random-effects meta-analysis and a network meta-analysis according to a frequentist approach. We assessed network inconsistency, publication bias, and estimated for each statin the probability of being the best treatment. Considerable heterogeneity was present among the included studies. In pairwise meta-analyses, 1-year use of statins versus control reduced kidney function decline by 0.61 (95%-CI: 0.27; 0.95) mL/min/1.73 m(2) and proteinuria with a standardized mean difference of −0.58 (95%-CI:−0.88; −0.29). The network meta-analysis for the separate endpoints showed broad confidence intervals due to the small number available RCTs for each individual comparison. In conclusion, 1-year statin use versus control attenuated the progression of kidney function decline and proteinuria. Due to the imprecision of individual comparisons, results were inconclusive as to which statin performs best with regard to renal outcome.
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spelling pubmed-68511182019-11-19 Effect of different types of statins on kidney function decline and proteinuria: a network meta-analysis Esmeijer, K. Dekkers, Olaf M. de Fijter, Johan W. Dekker, Friedo W. Hoogeveen, Ellen K. Sci Rep Article Previous studies showed that statins reduce the progression of kidney function decline and proteinuria, but whether specific types of statins are more beneficial than others remains unclear. We performed a network meta-analysis of randomized controlled trials (RCT) to investigate which statin most effectively reduces kidney function decline and proteinuria. We searched MEDLINE, Embase, Web of Science, and the Cochrane database until July 13, 2018, and included 43 RCTs (>110,000 patients). We performed a pairwise random-effects meta-analysis and a network meta-analysis according to a frequentist approach. We assessed network inconsistency, publication bias, and estimated for each statin the probability of being the best treatment. Considerable heterogeneity was present among the included studies. In pairwise meta-analyses, 1-year use of statins versus control reduced kidney function decline by 0.61 (95%-CI: 0.27; 0.95) mL/min/1.73 m(2) and proteinuria with a standardized mean difference of −0.58 (95%-CI:−0.88; −0.29). The network meta-analysis for the separate endpoints showed broad confidence intervals due to the small number available RCTs for each individual comparison. In conclusion, 1-year statin use versus control attenuated the progression of kidney function decline and proteinuria. Due to the imprecision of individual comparisons, results were inconclusive as to which statin performs best with regard to renal outcome. Nature Publishing Group UK 2019-11-12 /pmc/articles/PMC6851118/ /pubmed/31719617 http://dx.doi.org/10.1038/s41598-019-53064-x Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Esmeijer, K.
Dekkers, Olaf M.
de Fijter, Johan W.
Dekker, Friedo W.
Hoogeveen, Ellen K.
Effect of different types of statins on kidney function decline and proteinuria: a network meta-analysis
title Effect of different types of statins on kidney function decline and proteinuria: a network meta-analysis
title_full Effect of different types of statins on kidney function decline and proteinuria: a network meta-analysis
title_fullStr Effect of different types of statins on kidney function decline and proteinuria: a network meta-analysis
title_full_unstemmed Effect of different types of statins on kidney function decline and proteinuria: a network meta-analysis
title_short Effect of different types of statins on kidney function decline and proteinuria: a network meta-analysis
title_sort effect of different types of statins on kidney function decline and proteinuria: a network meta-analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6851118/
https://www.ncbi.nlm.nih.gov/pubmed/31719617
http://dx.doi.org/10.1038/s41598-019-53064-x
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