The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
The global burden of chronic kidney disease: estimates, variability and pitfalls
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Cites
A New Equation to Estimate Glomerular Filtration Rate
Levey, A. S., Stevens, L. A., Schmid, C. H., Zhang, Y. (., Castro, A. F., Feldman, H. I., Kusek, J. W., Eggers, P., Van Lente, F., Greene, T., et al. (2009) · Annals of Internal Medicine · doi:10.7326/0003-4819-150-9-200905050-00006 · Cited by 25,603
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Vos, T., Abajobir, A. A., Abate, K. H., Abbafati, C., Abbas, K. M., Abd-Allah, F., Abdulkader, R. S., Abdulle, A. M., Abebo, T. A., Abera, S. F., et al. (2017) · The Lancet · doi:10.1016/s0140-6736(17)32154-2 · Cited by 13,220
Vos, T., Allen, C., Arora, M., Barber, R. M., Bhutta, Z. A., Brown, A., Carter, A., Casey, D. C., Charlson, F. J., Chen, A. Z., et al. (2016) · The Lancet · doi:10.1016/s0140-6736(16)31678-6 · Cited by 7,253
Prevalence of Chronic Kidney Disease in the United States
Coresh, J., Selvin, E., Stevens, L. A., Manzi, J., Kusek, J. W., Eggers, P., Van Lente, F., & Levey, A. S. (2007) · JAMA · doi:10.1001/jama.298.17.2038 · Cited by 4,895
Estimating glomerular filtration rate from serum creatinine and cystatin C
Inker, L. A., Schmid, C. H., Tighiouart, H., Eckfeldt, J. H., Feldman, H. I., Greene, T., Kusek, J. W., Manzi, J., Van Lente, F., Zhang, Y. L., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1114248 · Cited by 4,102
Ene-Iordache, B., Perico, N., Bikbov, B., Carminati, S., Remuzzi, A., Perna, A., Islam, N., Bravo, R. F., Aleckovic-Halilovic, M., Zou, H., et al. (2016) · The Lancet Global Health · doi:10.1016/s2214-109x(16)00071-1 · Cited by 627
Grubb, A., Horio, M., Hansson, L.-O., Björk, J., Nyman, U., Flodin, M., Larsson, A., Bökenkamp, A., Yasuda, Y., Blufpand, H., et al. (2014) · Clinical Chemistry · doi:10.1373/clinchem.2013.220707 · Cited by 324
Cited by
The Global Epidemiology of Diabetes and Kidney Disease
Koye, D. N., Magliano, D. J., Nelson, R. G., & Pavkov, M. E. (2018) · Advances in Chronic Kidney Disease · doi:10.1053/j.ackd.2017.10.011 · Cited by 686
Mantovani, A., Zaza, G., Byrne, C. D., Lonardo, A., Zoppini, G., Bonora, E., & Targher, G. (2018) · Metabolism · doi:10.1016/j.metabol.2017.11.003 · Cited by 348
Predicting the early risk of chronic kidney disease in patients with diabetes using real-world data
Ravizza, S., Huschto, T., Adamov, A., Böhm, L., Büsser, A., Flöther, F. F., Hinzmann, R., König, H., McAhren, S. M., Robertson, D. H., et al. (2019) · Nature Medicine · doi:10.1038/s41591-018-0239-8 · Cited by 167
Li, S., Lin, Q., Shao, X., Zhu, X., Wu, J., Wu, B., Zhang, M., Zhou, W., Zhou, Y., Jin, H., et al. (2020) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2019.12.005 · Cited by 112
Protective Effects of Epigallocatechin-3-Gallate from Green Tea in Various Kidney Diseases
Kanlaya, R., & Thongboonkerd, V. (2019) · Advances in Nutrition · doi:10.1093/advances/nmy077 · Cited by 99
Metadata
- Authors
- Glassock, R. J., Warnock, D. G., & Delanaye, P.
- Venue
- Nature Reviews Nephrology
- Published
- 2016-12-12
- Volume
- 13
- Issue
- 2
- Pages
- 104-114
- ISSN
- 1745-8323 (ISSN-L)
- 1759-5061
- 1759-507X
- OpenAlex
- W2559986308
- Cited by
- 511
- References
- 8
- FWCI
- 4.85
- Type
- journal article
- Language
- en
- Open access
- green
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- The paper
- Glassock, R. J., Warnock, D. G., & Delanaye, P. (2017). The global burden of chronic kidney disease: estimates, variability and pitfalls. Nature Reviews Nephrology. https://doi.org/10.1038/nrneph.2016.163
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.