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Excerpts From the US Renal Data System 2009 Annual Data Report
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“In this meta-analysis of 13 cohorts, including 21,688 individuals selected because of CKD, we found that lower eGFR and higher albuminuria were each independently associated with mortality and ESRD.”
BackgroundInfluentialSeferović, P. M., Petrie, M. C., Filippatos, G. S., Anker, S. D., Rosano, G., Bauersachs, J., Paulus, W. J., Komajda, M., Cosentino, F., de Boer, R. A., et al. (2018) · European Journal of Heart Failure · doi:10.1002/ejhf.1170 · Cited by 708
Lipocalin 2 is essential for chronic kidney disease progression in mice and humans
Viau, A., Karoui, K. E., Laouari, D., Burtin, M., Nguyen, C., Mori, K., Pillebout, É., Berger, T., Mak, T. W., Knebelmann, B., et al. (2010) · Journal of Clinical Investigation · doi:10.1172/jci42004 · Cited by 393
Kidney stones and kidney function loss: a cohort study
Alexander, R. T., Hemmelgarn, B. R., Wiebe, N., Bello, A. K., Morgan, C., Samuel, S. M., Klarenbach, S. W., Curhan, G. C., Tonelli, M. A., & for the Alberta Kidney Disease Network (2012) · BMJ · doi:10.1136/bmj.e5287 · Cited by 354
International Journal of Collaborative Research on Internal Medicine & Public Health
Valdivia, J. R. M. (2021) · Journal of Womens Health Issues and Care · Cited by 300
Metadata
- Authors
- Collins, A. J., Foley, R. N., Herzog, C., Chavers, B. M., Gilbertson, D., Ishani, A., Kasiske, B. L., Liu, J., Mau, L.-W., McBean, M., Murray, A., St. Peter, W., Guo, H., Li, Q., Li, S., Li, S., Peng, Y., Qiu, Y., Roberts, T., Skeans, M., Snyder, J., Solid, C., Wang, C., Weinhandl, E., Zaun, D., Arko, C., Chen, S.-C., Dalleska, F., Daniels, F., Dunning, S., Ebben, J., Frazier, E., Hanzlik, C., Johnson, R., Sheets, D., Wang, X., Forrest, B., Constantini, E., Everson, S., Eggers, P. W., & Agodoa, L.
- Affiliations
- United States Department of Veterans Affairs (US)
- ORCID
- Venue
- American Journal of Kidney Diseases
- Publisher
- Elsevier BV
- Published
- 2010-01
- Volume
- 55
- Issue
- 1
- Pages
- A6-A7
- ISSN
- 0272-6386 (ISSN-L)
- PMC
- PMC2829836
- OpenAlex
- W1955298113
- Cited by
- 436
- References
- 0
- Citations by year
- 2026: 6 · 2025: 10 · 2024: 12 · 2023: 18 · 2022: 19 · 2021: 22 · 2020: 20 · 2019: 23 · 2018: 35 · 2017: 25 · 2016: 34 · 2015: 40 · 2014: 29 · 2013: 42 · 2012: 37
- FWCI
- 19.56
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- American Journal of Kidney Diseases (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of Diabetes and Digestive and Kidney Diseases (HHSN 267 2007 15002C/N01-DK-7-5002, HHSN267200715002C)
- Topics
- Health Sciences › Medicine › Nephrology › Chronic Kidney Disease and Diabetes
- Health Sciences › Medicine › Nephrology › Dialysis and Renal Disease Management
- Health Sciences › Medicine › Nephrology › Acute Kidney Injury Research
- Keywords
- chronic kidney disease, end-stage renal disease, acute kidney injury, mortality risk, blood pressure control, lipid control, health care costs, morbidity, NHANES
- MeSH terms
- Chronic Disease, Medicare, Renal Dialysis, Humans, Kidney Diseases, United States, Kidney Transplantation
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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