Characterization of Risk Prediction Models for Acute Kidney Injury: A Systematic Review and Meta-analysis.

Feng, Yunlin; Wang, Amanda Y; Jun, Min; Pu, Lei; Weisbord, Steven D; Bellomo, Rinaldo; Hong, Daqing; Gallagher, Martin

Feng, Yunlin; Wang, Amanda Y; Jun, Min; Pu, Lei; Weisbord, Steven D; Bellomo, Rinaldo; Hong, Daqing; Gallagher, Martin.

Afiliación

Feng Y; Department of Nephrology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
Wang AY; The George Institute for Global Health, University of New South Wales, Sydney, Australia.
Jun M; The George Institute for Global Health, University of New South Wales, Sydney, Australia.
Pu L; Concord Clinical School, University of Sydney, Sydney, Australia.
Weisbord SD; The Faculty of Medicine and Health Sciences, Macquarie University, Sydney, Australia.
Bellomo R; The George Institute for Global Health, University of New South Wales, Sydney, Australia.
Hong D; Department of Nephrology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
Gallagher M; Renal Section, Medicine Service, Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, Pennsylvania.

JAMA Netw Open ; 6(5): e2313359, 2023 05 01.

Article en En | MEDLINE | ID: mdl-37184837

Asunto(s)

Lesión Renal Aguda; Medios de Contraste; Humanos; Sesgo; Lesión Renal Aguda/epidemiología

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Medios de Contraste / Lesión Renal Aguda Tipo de estudio: Etiology_studies / Guideline / Prognostic_studies / Risk_factors_studies / Systematic_reviews Límite: Humans Idioma: En Revista: JAMA Netw Open Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos

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