The DOI matches its OpenAlex record.
Access to kidney transplantation. Has the United States eliminated income and racial differences?
Abstract
We analyzed the effect of patient and dialysis unit characteristics on access to kidney transplantation using several different approaches, including an analysis of individual patient data from a systematic random sample of 2900 new dialysis patients from each year 1981 to 1985 (14721 patients total). Additional analyses focused on the composition of transplant waiting lists and aggregate data from a 1984 census of 1133 dialysis and transplant units. White, male, young, nondiabetic, high-income patients treated in smaller units are more likely to receive a cadaver transplant under Medicare than are other kidney patients. Profit status of the dialysis unit was not found to be correlated to access to transplantation, although size of the unit may be correlated to access. Future analysis should focus on whether patient access has been inappropriately compromised. Possible factors unexplored in this analysis include differential patient preferences and medical suitability, as well as differential medical access.
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
Cited by
Differences in the use of procedures between women and men hospitalized for coronary heart disease
Ayanian, J. Z., & Epstein, A. M. (1991) · New England Journal of Medicine · doi:10.1056/nejm199107253250401 · Cited by 1,188
Barriers to Cadaveric Renal Transplantation Among Blacks, Women, and the Poor
Alexander, G. C. (1998) · JAMA · doi:10.1001/jama.280.13.1148 · Cited by 468
Guadagnoli, E. (1995) · Archives of Surgery · doi:10.1001/archsurg.1995.01430040043006 · Cited by 109
Metadata
- Authors
- Held, P. J.
- Venue
- Archives of Internal Medicine
- Publisher
- American Medical Association
- Published
- 1988-12-01
- Volume
- 148
- Issue
- 12
- Pages
- 2594-2600
- ISSN
- 0003-9926 (ISSN-L)
- OpenAlex
- W2054616151
- Cited by
- 184
- References
- 0
- FWCI
- 5.11
- 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.
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: Access to kidney transplantation. Has the United States eliminated income and racial differences? https://app.cochat.ai/papers/10.1001/archinte.148.12.2594
- The paper
- Held, P. J. (1988). Access to kidney transplantation. Has the United States eliminated income and racial differences? Archives of Internal Medicine. https://doi.org/10.1001/archinte.148.12.2594
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.