Evidence map›Paper›PMID 36302599›Full record

ArticleJournal of the American Society of Nephrology : JASN2023

Early Effect of the Circular Model of Kidney Allocation in the United States.

Chethan M Puttarajappa, Sundaram Hariharan, Xingyu Zhang, Amit Tevar, Rajil Mehta, Vikraman Gunabushanam, Puneet Sood, William Hoffman, Sumit Mohan

Open access · greenAbstract read
In one paragraph

Article in Journal of the American Society of Nephrology : JASN, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
7.6field-weighted citation impact, top 2% 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

23 citing papers in PubMed, 47 citations in OpenAlex.

  1. A Sliding Scale AdaptiVe Expedited rescue algorithm for deceased donor kidney transplantation.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2026
    Article
  2. Article
  3. Article
  4. 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
  5. Article
  6. Article
  7. Article
  8. Decreasing efficiency in deceased donor kidney offer notifications under the new distance-based kidney allocation system.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2025
    Article
  9. Article
  10. Article
  11. Review
  12. Optimizing kidney allocation: challenges and solutions.Current opinion in organ transplantation · 2025
    Review
  13. Review
  14. Article
  15. Article
  16. Associations Among Circle-Based Kidney Allocation, Center Waiting Time, and Likelihood of Deceased-Donor Kidney Transplantation.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2025
    Article
  17. Article
  18. Review
  19. Article
  20. Deceased donor kidneys from higher distressed communities are significantly less likely to be utilized for transplantation.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 1 country.

Chethan M PuttarajappaDepartment of Medicine, Renal-Electrolyte Division, University of Pittsburgh, Pittsburgh, Pennsylvania.ORCID 0000-0002-4856-9242
Sundaram HariharanDepartment of Medicine, Renal-Electrolyte Division, University of Pittsburgh, Pittsburgh, Pennsylvania.
Xingyu ZhangDepartment of Surgery, Thomas E. Starzl Transplantation Institute, University of Pittsburgh, Pittsburgh, Pennsylvania.
Amit TevarDepartment of Surgery, Thomas E. Starzl Transplantation Institute, University of Pittsburgh, Pittsburgh, Pennsylvania.
Rajil MehtaDepartment of Medicine, Renal-Electrolyte Division, University of Pittsburgh, Pittsburgh, Pennsylvania.
Vikraman GunabushanamDepartment of Surgery, Thomas E. Starzl Transplantation Institute, University of Pittsburgh, Pittsburgh, Pennsylvania.
Puneet SoodDepartment of Medicine, Renal-Electrolyte Division, University of Pittsburgh, Pittsburgh, Pennsylvania.
William HoffmanTransplant Nephrology, UPMC Pinnacle, Harrisburg, Pennsylvania.
Sumit MohanDepartment of Medicine, Division of Nephrology, Vagelos College of Physicians and Surgeons and Department of Medicine, Mailman School of Public Health, Columbia University, New York, New York.ORCID 0000-0002-5305-9685
University of Pittsburgh · USColumbia University · USUPMC Central Pa · US

Funding

Utility of virtual crossmatch in deceased donor kidney transplantationK08DK119576 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI PUTTARAJAPPA, CHETHAN · 2019 to 2023
$812k
NIDDK NIH HHS K08 DK119576
6 · The paper itself

Abstract

backgroundIn March 2021, the United States implemented a new kidney allocation system (KAS250) for deceased donor kidney transplantation (DDKT), which eliminated the donation service area-based allocation and replaced it with a system on the basis of distance from donor hospital to transplant center within/outside a radius of 250 nautical miles. The effect of this policy on kidney discards and logistics is unknown.

methodsWe examined discards, donor-recipient characteristics, cold ischemia time (CIT), and delayed graft function (DGF) during the first 9 months of KAS250 compared with a pre-KAS250 cohort from the preceding 2 years. Changes in discards and CIT after the onset of COVID-19 and the implementation of KAS250 were evaluated using an interrupted time-series model. Changes in allocation practices (biopsy, machine perfusion, and virtual cross-match) were also evaluated.

resultsPost-KAS250 saw a two-fold increase in kidneys imported from nonlocal organ procurement organizations (OPO) and a higher proportion of recipients with calculated panel reactive antibody (cPRA) 81%-98% (12% versus 8%; P <0.001) and those with >5 years of pretransplant dialysis (35% versus 33%; P <0.001). CIT increased (mean 2 hours), including among local OPO kidneys. DGF was similar on adjusted analysis. Discards after KAS250 did not immediately change, but we observed a statistically significant increase over time that was independent of donor quality. Machine perfusion use decreased, whereas reliance on virtual cross-match increased, which was associated with shorter CIT.

conclusionsEarly trends after KAS250 show an increase in transplant access to patients with cPRA>80% and those with longer dialysis duration, but this was accompanied by an increase in CIT and a suggestion of worsening kidney discards.

Indexed as

COVID-19Kidney TransplantationTissue and Organ ProcurementAntibodiesDelayed Graft FunctionGraft SurvivalHumansKidneyTissue DonorsUnited StatesAntibodies

Identifiers

PMID36302599
PMCPMC10101588
OpenAlexW4307499036

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.