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Accuracy of clinicians’ ability to predict the need for renal replacement therapy: a prospective multicenter study

Crossref DOI link: https://doi.org/10.1186/s13613-022-01066-w

Published Print: 2022

Update policy: https://doi.org/10.1016/elsevier_cm_policy

Authors

Sitbon, Alexandre https://orcid.org/0000-0001-7268-8105
Darmon, Michael

Geri, Guillaume

Jaubert, Paul

Lamouche-Wilquin, Pauline

Monet, Clément

Le Fèvre, Lucie

Baron, Marie

Harlay, Marie-Line

Bureau, Côme

Joannes-Boyau, Olivier

Dupuis, Claire

Contou, Damien

Lemiale, Virginie

Simon, Marie

Vinsonneau, Christophe

Blayau, Clarisse

Jacobs, Frederic

Zafrani, Lara
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Text and Data Mining valid from 2022-01-01

Text and Data Mining valid from 2022-01-01

Version of Record valid from 2025-11-19
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This article is maintained by: Elsevier

Article Title: Accuracy of clinicians’ ability to predict the need for renal replacement therapy: a prospective multicenter study

Journal Title: Annals of Intensive Care

CrossRef DOI link to publisher maintained version: https://doi.org/10.1186/s13613-022-01066-w

Content Type: article

Copyright: Copyright © 2022 The Author(s) 2022. Published by Elsevier Masson SAS