Bridging the gap of referral to nephrology care
Author:
Publisher
Springer Science and Business Media LLC
Subject
Nephrology
Link
https://www.nature.com/articles/s41581-023-00693-1.pdf
Reference10 articles.
1. Tangri, N. et al. A predictive model for progression of chronic kidney disease to kidney failure. J. Am. Med. Assoc. 305, 1553–1559 (2011).
2. Tangri, N. et al. Multinational assessment of accuracy of equations for predicting risk of kidney failure: a meta-analysis. J. Am. Med. Assoc. 315, 164–174 (2016).
3. Wang, M., Peter, S. S., Chu, C. D., Tuot, D. S. & Chen, J. H. Analysis of specialty nephrology care among patients with chronic kidney disease and high risk of disease progression. JAMA Netw. Open 5, e2225797 (2022).
4. Torreggiani, M. et al. Unmet needs for CKD care: from the general population to the CKD clinics-how many patients are we missing? Clin. Kidney J. 14, 2246–2254 (2021).
5. Oliva-Damaso, N., Delanaye, P., Oliva-Damaso, E., Payan, J. & Glassock, R. J. Risk-based versus GFR threshold criteria for nephrology referral in chronic kidney disease. Clin. Kidney J. 15, 1996–2005 (2022).
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