The DOI matches its Crossref record.
US Renal Data System 2019 Annual Data Report: Epidemiology of Kidney Disease in the United States
Overview
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Registry
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Citations
Cited by
Cortinovis, M., Perico, N., Ruggenenti, P., Remuzzi, A., & Remuzzi, G. (2022) · Nature Reviews Nephrology · doi:10.1038/s41581-022-00559-y · Cited by 214
FOXM1 drives proximal tubule proliferation during repair from acute ischemic kidney injury
Chang-Panesso, M., Kadyrov, F. F., Lalli, M., Wu, H., Ikeda, S., Kefaloyianni, E., Abdelmageed, M. M., Herrlich, A., Kobayashi, A., & Humphreys, B. D. (2019) · Journal of Clinical Investigation · doi:10.1172/jci125519 · Cited by 158
Stempniewicz, N., Vassalotti, J. A., Cuddeback, J. K., Ciemins, E., Storfer-Isser, A., Sang, Y., Matsushita, K., Ballew, S. H., Chang, A. R., Levey, A. S., et al. (2021) · Diabetes Care · doi:10.2337/dc20-2715 · Cited by 157
Jha, R., Lopez-Trevino, S., Kankanamalage, H. R., & Jha, J. C. (2024) · Biomedicines · doi:10.3390/biomedicines12051098 · Cited by 144
Health inequities and the inappropriate use of race in nephrology
Eneanya, N. D., Boulware, L. E., Tsai, J., Bruce, M. A., Ford, C. L., Harris, C., Morales, L. S., Ryan, M. J., Reese, P. P., Thorpe, R. J., et al. (2022) · Nature Reviews Nephrology · doi:10.1038/s41581-021-00501-8 · Cited by 140
Metadata
- Authors
- Saran, R., Robinson, B., Abbott, K. C., Bragg-Gresham, J., Chen, X., Gipson, D., Gu, H., Hirth, R. A., Hutton, D., Jin, Y., Kapke, A., Kurtz, V., Li, Y., McCullough, K., Modi, Z., Morgenstern, H., Mukhopadhyay, P., Pearson, J., Pisoni, R., Repeck, K., Schaubel, D. E., Shamraj, R., Steffick, D., Turf, M., Woodside, K. J., Xiang, J., Yin, M., Zhang, X., & Shahinian, V.
- Venue
- American Journal of Kidney Diseases
- Publisher
- Elsevier BV
- Published
- 2020-01
- Volume
- 75
- Issue
- 1
- Pages
- A6-A7
- ISSN
- 0272-6386 (ISSN-L)
- OpenAlex
- W2983691809
- Cited by
- 992
- References
- 0
- FWCI
- 100.59
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: US Renal Data System 2019 Annual Data Report: Epidemiology of Kidney Disease in the United States. https://app.cochat.ai/papers/10.1053/j.ajkd.2019.09.003
- The paper
- Saran, R., Robinson, B., Abbott, K. C., Bragg-Gresham, J., Chen, X., Gipson, D., Gu, H., Hirth, R. A., Hutton, D., Jin, Y., Kapke, A., Kurtz, V., Li, Y., McCullough, K., Modi, Z., Morgenstern, H., Mukhopadhyay, P., Pearson, J., Pisoni, R., . . . Shahinian, V. (2020). US Renal Data System 2019 Annual Data Report: Epidemiology of Kidney Disease in the United States. American Journal of Kidney Diseases. https://doi.org/10.1053/j.ajkd.2019.09.003
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.
