Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

Recognizing kidney disease as a major global health issue, the International Society of Nephrology convened a 2-day international, multi-stakeholder meeting to develop a road map for advancing clinical research in nephrology. The meeting focused on promoting the use of patient-reported outcome measures, moving beyond single biomarker targets, adopting innovative trial designs, and incorporating hierarchical composite end points. Participants included clinicians, trialists, regulators, patient partners, and industry experts invited from all International Society of Nephrology regions. Discussions emphasized the importance of inclusive trial design, validation of patient-reported outcome measures, predictive enrichment strategies, and broader trial accessibility across resource settings. Key recommendations included enhancing diversity in trial populations, avoiding overreliance on isolated biomarkers, adopting novel study designs, strengthening public-private partnerships, and validating composite end points. A coordinated effort was deemed essential to implement these strategies in both research and practice, ensuring sustainable progress and reducing the global burden of kidney disease.

More information Original publication

DOI

10.1016/j.kint.2025.09.016

Type

Journal article

Publication Date

2025-12-01T00:00:00+00:00

Volume

108

Pages

1002 - 1017

Total pages

15

Keywords

chronic kidney disease, kidney, patient-reported outcomes, Humans, Kidney Diseases, Nephrology, Research Design, Clinical Trials as Topic, Patient Reported Outcome Measures, Biomedical Research, Biomarkers