Evidence map›Paper›PMID 40040564›Full record

ReviewCurrent opinion in organ transplantation2025

Optimizing kidney allocation: challenges and solutions.

Darren E Stewart, Loren Gragert, Michal A Mankowski

Abstract readReview
In one paragraph

Review in Current opinion in organ transplantation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Advancements inFrontiers in transplantation · 2026
    Review
  4. 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

3 authors.

Darren E StewartDepartment of Surgery, NYU Langone Health, New York, New York.
Loren GragertDeming Department of Medicine, Section of Biomedical Informatics and Genomics, Tulane University School of Medicine, New Orleans, Los Angeles, USA.
Michal A MankowskiDepartment of Surgery, NYU Langone Health, New York, New York.

Funding

Increasing Equity and Utility in Deceased Donor Kidney Allocation with HLA Molecular MatchingR01DK139240 · NIDDK · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI LOREN GRAGERT, Michal A Mankowski · 2024 to 2026
$2.1M
NIDDK NIH HHS R01 DK139240
6 · The paper itself

Abstract

purpose of reviewWith the kidney nonuse rate approaching 30%, one-fifth of kidneys placed out of sequence, and unsatisfactory long-term recipient outcomes, U.S. kidney allocation is at a crossroads. This review highlights recent studies and efforts geared toward improving the system. RECENT

findingsThe Organ Procurement & Transplantation Network's kidney transplantation committee is tasked with migrating kidney allocation policy, currently based on 250 nautical mile circles, to a fully continuous, points-based system. Challenges in designing a system assured to improve, not worsen, placement efficiency have hampered progress. OPO and transplant center practice patterns have adapted to a rapidly changing donation landscape. Advances in transplant immunology, particularly involving molecular HLA typing methods, are opening doors for more precise donor-recipient matching that appear to hold promise for improved long-term outcomes. SUMMARY: The largely one-size-fits-all kidney allocation system is in desperate need of an overhaul. The continuous distribution paradigm is flexible enough to accommodate bold, new ideas for addressing major pain points in an equitable way. The OPTN should use policy variances to conduct time-limited, controlled experiments with various continuous distribution policies and build upon what works. Advances in transplant immunology, such as eplet matching, should increasingly be incorporated into kidney offer decision-making and, eventually, the allocation algorithm.

Indexed as

Kidney TransplantationPatient SelectionTissue and Organ ProcurementTissue DonorsDonor SelectionHistocompatibilityHistocompatibility TestingHumansTime FactorsTreatment OutcomeUnited StatesWaiting Lists

Identifiers

PMID40040564
PMCPMC12668290

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.