The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
Risk of End-Stage Renal Disease Following Live Kidney Donation
Open accessAbstract
IMPORTANCE: Risk of end-stage renal disease (ESRD) in kidney donors has been compared with risk faced by the general population, but the general population represents an unscreened, high-risk comparator. A comparison to similarly screened healthy nondonors would more properly estimate the sequelae of kidney donation. OBJECTIVES: To compare the risk of ESRD in kidney donors with that of a healthy cohort of nondonors who are at equally low risk of renal disease and free of contraindications to live donation and to stratify these comparisons by patient demographics. DESIGN, SETTINGS, AND PARTICIPANTS: A cohort of 96,217 kidney donors in the United States between April 1994 and November 2011 and a cohort of 20,024 participants of the Third National Health and Nutrition Examination Survey (NHANES III) were linked to Centers for Medicare & Medicaid Services data to ascertain development of ESRD, which was defined as the initiation of maintenance dialysis, placement on the waiting list, or receipt of a living or deceased donor kidney transplant, whichever was identified first. Maximum follow-up was 15.0 years; median follow-up was 7.6 years (interquartile range [IQR], 3.9-11.5 years) for kidney donors and 15.0 years (IQR, 13.7-15.0 years) for matched healthy nondonors. MAIN OUTCOMES AND MEASURES: Cumulative incidence and lifetime risk of ESRD. RESULTS: Among live donors, with median follow-up of 7.6 years (maximum, 15.0), ESRD developed in 99 individuals in a mean (SD) of 8.6 (3.6) years after donation. Among matched healthy nondonors, with median follow-up of 15.0 years (maximum, 15.0), ESRD developed in 36 nondonors in 10.7 (3.2) years, drawn from 17 ESRD events in the unmatched healthy nondonor pool of 9364. Estimated risk of ESRD at 15 years after donation was 30.8 per 10,000 (95% CI, 24.3-38.5) in kidney donors and 3.9 per 10,000 (95% CI, 0.8-8.9) in their matched healthy nondonor counterparts (P < .001). This difference was observed in both black and white individuals, with an estimated risk of 74.7 per 10,000 black donors (95% CI, 47.8-105.8) vs 23.9 per 10,000 black nondonors (95% CI, 1.6-62.4; P < .001) and an estimated risk of 22.7 per 10,000 white donors (95% CI, 15.6-30.1) vs 0.0 white nondonors (P < .001). Estimated lifetime risk of ESRD was 90 per 10,000 donors, 326 per 10,000 unscreened nondonors (general population), and 14 per 10,000 healthy nondonors. CONCLUSIONS AND RELEVANCE: Compared with matched healthy nondonors, kidney donors had an increased risk of ESRD over a median of 7.6 years; however, the magnitude of the absolute risk increase was small. These findings may help inform discussions with persons considering live kidney donation.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Nonparametric Estimation from Incomplete Observations
Kaplan, E. L., & Meier, P. (1992) · Springer Series in Statistics · doi:10.1007/978-1-4612-4380-9_25 · Cited by 45,181
Nonparametric Estimation from Incomplete Observations
Kaplan, E. L., & Meier, P. (1958) · Journal of the American Statistical Association · doi:10.1080/01621459.1958.10501452 · Cited by 39,158
Bootstrap methods: another look at the jackknife
Efron, B. (1979) · The Annals of Statistics · doi:10.1214/aos/1176344552 · Cited by 17,602
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
Vasan, R. S., Beiser, A., Seshadri, S., Larson, M. G., Kannel, W. B., D'Agostino, R. B., & Levy, D. (2002) · JAMA · doi:10.1001/jama.287.8.1003 · Cited by 1,388
Bootstrap Methods: Another Look at the Jackknife
Efron, B. (1992) · Springer Series in Statistics · doi:10.1007/978-1-4612-4380-9_41 · Cited by 1,374
Desensitization in HLA-Incompatible Kidney Recipients and Survival
Montgomery, R. A., Lonze, B. E., King, K. E., Kraus, E. S., Kucirka, L. M., Locke, J. E., Warren, D. S., Simpkins, C. E., Dagher, N. N., Singer, A. L., et al. (2011) · New England Journal of Medicine · doi:10.1056/nejmoa1012376 · Cited by 687
Self-citationEnd-stage renal disease in African-American and white men. 16-year MRFIT findings
Klag, M. J. (1997) · JAMA · doi:10.1001/jama.277.16.1293 · Cited by 612
Risk Factors for End-Stage Renal Disease: 25-Year Follow-up
Hsu, C.-Y., Iribarren, C., McCulloch, C. E., Darbinian, J., & Go, A. S. (2009) · Archives of Internal Medicine · doi:10.1001/archinternmed.2008.605 · Cited by 589
Eriksen, B. O., & Ingebretsen, O. C. (2006) · Kidney International · doi:10.1038/sj.ki.5000058 · Cited by 576
Cited by
Kidney-Failure Risk Projection for the Living Kidney-Donor Candidate
Grams, M. E., Sang, Y., Levey, A. S., Matsushita, K., Ballew, S., Chang, A. R., Chow, E. K. H., Kasiske, B. L., Kovesdy, C. P., Nadkarni, G. N., et al. (2016) · New England Journal of Medicine · doi:10.1056/nejmoa1510491 · Cited by 454
Self-citationSurvival Benefit with Kidney Transplants from HLA-Incompatible Live Donors
Orandi, B. J., Luo, X., Massie, A. B., Garonzik-Wang, J. M., Lonze, B. E., Ahmed, R., Van Arendonk, K. J., Stegall, M. D., Jordan, S. C., Oberholzer, J., et al. (2016) · New England Journal of Medicine · doi:10.1056/nejmoa1508380 · Cited by 364
Self-citationLentine, K. L., Kasiske, B. L., Levey, A. S., Adams, P. L., Alberú, J., Bakr, M. A., Gallon, L., Garvey, C. A., Guleria, S., Li, P. K.-T., et al. (2017) · Transplantation · doi:10.1097/tp.0000000000001770 · Cited by 300
Self-citationBirth weight, malnutrition and kidney-associated outcomes—a global concern
Luyckx, V. A., & Brenner, B. M. (2015) · Nature Reviews Nephrology · doi:10.1038/nrneph.2014.251 · Cited by 289
Cortinovis, M., Perico, N., Ruggenenti, P., Remuzzi, A., & Remuzzi, G. (2022) · Nature Reviews Nephrology · doi:10.1038/s41581-022-00559-y · Cited by 214
Metadata
- Authors
- Muzaale, A. D., Massie, A. B., Wang, M.-C., Montgomery, R. A., McBride, M. A., Wainright, J. L., & Segev, D. L.
- Venue
- JAMA
- Publisher
- American Medical Association (AMA)
- Published
- 2014-02-12
- Volume
- 311
- Issue
- 6
- Pages
- 579
- ISSN
- 0002-9955 (ISSN-L)
- 0098-7484
- OpenAlex
- W2008905653
- Cited by
- 982
- References
- 18
- FWCI
- 98.66
- Type
- journal article
- Language
- en
- Open access
- green
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.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Risk of End-Stage Renal Disease Following Live Kidney Donation. https://app.cochat.ai/papers/10.1001/jama.2013.285141
- The paper
- Muzaale, A. D., Massie, A. B., Wang, M.-C., Montgomery, R. A., McBride, M. A., Wainright, J. L., & Segev, D. L. (2014). Risk of End-Stage Renal Disease Following Live Kidney Donation. JAMA. https://doi.org/10.1001/jama.2013.285141
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.