Predicting Contrast-Associated Acute Kidney Injury
This systematic review and meta-analysis updates a previous evaluation of the performance of risk-prediction models for contrast-associated acute kidney injury.
Authors
- Rinaldo Bellomo (ORCID: https://orcid.org/0000-0002-1650-8939)
- Steven D. Weisbord (ORCID: https://orcid.org/0000-0002-1975-8108)
- Clare Arnott (ORCID: https://orcid.org/0000-0001-9370-9913)
- Marlies Ostermann (ORCID: https://orcid.org/0000-0001-9500-9080)
- Min Jun
- Yunlin Feng (ORCID: https://orcid.org/0000-0003-4393-6661)
- Martin Gallagher (ORCID: https://orcid.org/0000-0001-9187-6187)
- Ying Wang (ORCID: https://orcid.org/0000-0001-9753-6888)
- Song Ren (ORCID: https://orcid.org/0000-0003-1240-0311)
Institutions
- The University of Sydney (AU)
- St Thomas' Hospital (GB)
- University of Electronic Science and Technology of China (CN)
- The University of Melbourne (AU)
- University of Pittsburgh (US)
- King's College London (GB)
- Concord Repatriation General Hospital (AU)
- UNSW Sydney (AU)
- The George Institute for Global Health (AU)
- VA Pittsburgh Healthcare System (US)
- Macquarie University (AU)
Publication Details
- Journal
- JAMA Network Open
- Published
- 2025-03-05
- DOI
- https://doi.org/10.1001/jamanetworkopen.2025.0107
- Citations
- 3
- Primary Topic
- Acute Kidney Injury Research
- Type
- article
- Field-Weighted Citation Impact
- 4.29
Funders
- Eli Lilly and Company
- Australian Government
- University of New South Wales