Evidence map›Paper›PMID 31469394›Full record

ArticleJAMA network open2019

Association Between Declined Offers of Deceased Donor Kidney Allograft and Outcomes in Kidney Transplant Candidates.

S Ali Husain, Kristen L King, Stephen Pastan, Rachel E Patzer, David J Cohen, Jai Radhakrishnan, Sumit Mohan

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in JAMA network open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 51 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 1 pooled it
10.2field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

51 citing papers in PubMed, 1 synthesis or guideline pooled it, 125 citations in OpenAlex.

  1. Optimizing the Use of Deceased Donor Kidneys at Risk of Discard: A Clinical Practice Guideline.Transplant international : official journal of the European Society for Organ Transplantation · 2025
    Guideline
  2. Article
  3. Article
  4. Article
  5. Out-of-Sequence Placement of Deceased Donor Kidneys Is Exacerbating Inequities in the United States.Clinical journal of the American Society of Nephrology : CJASN · 2026
    Article
  6. Proteinuria in Deceased Diabetic Donors and Kidney Transplant Outcomes.Canadian journal of kidney health and disease · 2026
    Article
  7. Review
  8. Article
  9. Review
  10. The dynamics of deceased donor kidney transplant decision making: insights from studying individual clinicians' offer decisions.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2025
    Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Development and Use of Human RecombinantACS applied bio materials · 2024
    Article
  17. Legislative and Regulatory Changes Affecting the US Transplant System.Journal of the American Society of Nephrology : JASN · 2024
    Article
  18. Review
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

S Ali HusainDivision of Nephrology, Department of Medicine, Columbia University Medical Center, New York, New York.
Kristen L KingDivision of Nephrology, Department of Medicine, Columbia University Medical Center, New York, New York.
Stephen PastanRenal Division, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia.
Rachel E PatzerDivision of Transplantation, Department of Surgery, Emory University School of Medicine, Atlanta, Georgia.
David J CohenDivision of Nephrology, Department of Medicine, Columbia University Medical Center, New York, New York.
Jai RadhakrishnanDivision of Nephrology, Department of Medicine, Columbia University Medical Center, New York, New York.
Sumit MohanDivision of Nephrology, Department of Medicine, Columbia University Medical Center, New York, New York.
Columbia University Irving Medical Center · USEmory University · US

Funding

Institutional Career Development CoreKL2TR001874 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GENKINGER, JEANINE M., SHIMBO, DAICHI · 2016 to 2025
$13.6M
5/14 APOL1 Long-term Kidney Transplantation Outcomes Network (APOLLO) Clinical CenterU01DK116066 · NIDDK · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Sumit Mohan, Deirdre Sawinski · 2017 to 2026
$2.5M
NCATS NIH HHS KL2 TR001874NIDDK NIH HHS U01 DK116066
6 · The paper itself

Abstract

Importance: In the United States, substantial disparities in access to kidney transplant exist for wait-listed candidates with end-stage renal disease. The implications of transplant centers' willingness to accept kidney offers for access to transplant and mortality outcomes are unknown. Objective: To determine the outcomes for wait-listed kidney transplant candidates after the transplant center's refusal of a deceased donor kidney offer. Design, Setting, and Participants: This cohort study obtained data from the United Network for Organ Sharing Potential Transplant Recipient data set on all deceased donor kidney offers in the United States made between January 1, 2008, and December 31, 2015. The final study cohort included adult patients who were wait-listed for kidney transplant and received at least 1 allograft offer during the study period (N = 280 041). Data analysis was conducted from June 1, 2018, to March 30, 2019. Exposure: Candidate state of residence. Main Outcomes and Measures: Waiting list outcome event groups included received deceased donor allograft, received living donor allograft, died while on the waiting list, removed from the waiting list without a transplant, or still on the waiting list at the end of follow-up. Results: Among the 280 041 kidney transplant candidates included in the study, the mean (SD) age at wait-listing was 51.1 (13.1) years, and male patients were predominant (171 517 [61.2%]). In this cohort, 81 750 candidates (29.2%) received a deceased donor kidney allograft, 30 870 (11.0%) received a living donor allograft, 25 967 (9.3%) died while on the waiting list, and 59 359 (21.2%) were removed from the waiting list. Overall, 10 candidates with at least 1 previous allograft offer died each day during the study period. Time to first offer was similar for candidates who received deceased donor kidney allograft compared with those who died while waiting (median [interquartile range {IQR}] time, 79 [16-426] days vs 78 [17-401] days, respectively). Deceased donor allograft recipients had a median of 17 offers (IQR, 6-44) over 422 days (IQR, 106-909 days), whereas candidates who died while waiting received a median of 16 offers (IQR, 6-41) over 651 days (IQR, 304-1117 days). Most kidneys (84%) were declined on behalf of at least 1 candidate before being accepted for transplant. As reported by centers, organ or donor quality concerns accounted for 8 416 474 (92.6%) of all declined offers, whereas offers were infrequently refused because of patient-related factors (232 193 [2.6%]), logistical limitations (49 492 [0.5%]), or other concerns. The odds of death after an offer and the median number of offers received prior to death varied considerably by state. Conclusions and Relevance: This study found that transplant candidates appeared to receive a large number of viable deceased donor kidney offers that were refused on their behalf by transplant centers, potentially exacerbating the detrimental consequences of the organ shortage; increased transparency in organ allocation process and decisions may improve patient-centered care and access to kidney transplant.

Indexed as

AdultAllograftsCase-Control StudiesFemaleHealth Services AccessibilityHumansKidney Failure, ChronicKidney TransplantationMaleMiddle AgedOutcome Assessment, Health CarePatient-Centered CareTissue and Organ ProcurementTissue DonorsTransplant RecipientsUnited States

Identifiers

PMID31469394
PMCPMC6724162
OpenAlexW2970430588

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.