Evidence map›Paper›PMID 31012528›Full record

ArticleAmerican journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons2019

Accelerating kidney allocation: Simultaneously expiring offers.

Michal A Mankowski, Martin Kosztowski, Subramanian Raghavan, Jacqueline M Garonzik-Wang, David Axelrod, Dorry L Segev, Sommer E Gentry

Abstract read
In one paragraph

Article in American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  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. Reasons for donor heart offer refusal are often unrelated to the donor itself - when, why, and the "weekend effect".The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation · 2025
    Observational
  5. Article
  6. Article
  7. The role of bypass filters in deceased donor kidney allocation in the United States.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2022
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Michal A MankowskiComputer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia.
Martin KosztowskiDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Subramanian RaghavanSmith School of Business and Institute for Systems Research, University of Maryland, College Park, Maryland.
Jacqueline M Garonzik-WangDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland.
David AxelrodDepartment of Surgery, University of Iowa Carver College of Medicine, Iowa City, Iowa.ORCID 0000-0001-5684-0613
Dorry L SegevDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Sommer E GentryDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland.

Funding

RENAL DISEASE EPIDEMIOLOGY TRAINING GRANTT32DK007732 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI CREWS, DEIDRA CANDICE · 1995 to 2024
$7.7M
Reducing geographic disparities in kidney and liver allocationR01DK111233 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI WARREN, DANIEL S · 2016 to 2019
$2.5M
Patient Oriented Research in Solid Organ TransplantationK24AI144954 · NIAID · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI SEGEV, DORRY L. · 2020 to 2024
$956k
NIAID NIH HHS K24 AI144954NIDDK NIH HHS R01 DK111233NIDDK NIH HHS T32 DK007732
6 · The paper itself

Abstract

Using nonideal kidneys for transplant quickly might reduce the discard rate of kidney transplants. We studied changing kidney allocation to eliminate sequential offers, instead making offers to multiple centers for all nonlocally allocated kidneys, so that multiple centers must accept or decline within the same 1 hour. If more than 1 center accepted an offer, the kidney would go to the highest-priority accepting candidate. Using 2010 Kidney-Pancreas Simulated Allocation Model-Scientific Registry for Transplant Recipients data, we simulated the allocation of 12 933 kidneys, excluding locally allocated and zero-mismatch kidneys. We assumed that each hour of delay decreased the probability of acceptance by 5% and that kidneys would be discarded after 20 hours of offers beyond the local level. We simulated offering kidneys simultaneously to small, medium-size, and large batches of centers. Increasing the batch size increased the percentage of kidneys accepted and shortened allocation times. Going from small to large batches increased the number of kidneys accepted from 10 085 (92%) to 10 802 (98%) for low-Kidney Donor Risk Index kidneys and from 1257 (65%) to 1737 (89%) for high-Kidney Donor Risk Index kidneys. The average number of offers that a center received each week was 10.1 for small batches and 16.8 for large batches. Simultaneously expiring offers might allow faster allocation and decrease the number of discards, while still maintaining an acceptable screening burden.

Indexed as

Donor SelectionFollow-Up StudiesHumansKidney Failure, ChronicKidney TransplantationPrognosisRegistriesResource AllocationTissue and Organ ProcurementTissue DonorsTransplant Recipientsclinical research/practicedelayed graft function (DGF)health services and outcomes researchkidney transplantation/nephrologymathematical modelorgan allocationorgan procurement and allocationScientific Registry for Transplant Recipients (SRTR)

Identifiers

PMID31012528
PMCPMC6812592

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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.