Work

Predicting Contrast-Associated Acute Kidney Injury

Year: 2025

Type: article

Study designs: Systematic Review, Meta-Analysis

Abstract: This systematic review and meta-analysis updates a previous evaluation of the performance of risk-prediction models for contrast-associated acute kidney injury.

Source: JAMA Network Open

DOI: 10.1001/jamanetworkopen.2025.0107

Authors: Yunlin Feng, Min Jun, Amanda Y. Wang, Song Ren, Steven D. Weisbord, Rinaldo Bellomo, Marlies Ostermann, Clare Arnott, Martin Gallagher

Institutions: University of Electronic Science and Technology of China, UNSW Sydney, The George Institute for Global Health, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, The University of Sydney, Macquarie University, University of Pittsburgh, VA Pittsburgh Healthcare System, The University of Melbourne, St Thomas' Hospital, King's College London, Guy's and St Thomas' NHS Foundation Trust

Language: English

Topic: Acute Kidney Injury Research

Subfield: Nephrology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $3,000

Funders: Eli Lilly and Company, Australian Government, University of New South Wales

OpenAlex ID: W4408244330

FWCI: 2.48

Cites: 6

Cited by: 4

Related to: 10