Evidence map›Paper›PMID 41895700›Full record

ArticleAmerican journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons2026

A Sliding Scale AdaptiVe Expedited rescue algorithm for deceased donor kidney transplantation.

Sanjay Mehrotra, Masoud Barah, Vikram Kilambi, Richard N Formica

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, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Sanjay MehrotraDepartment of Industrial Engineering and Management Sciences, Northwestern University, Evanston, Illinois, USA; Comprehensive Transplant Center, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.
Masoud BarahDepartment of Industrial Engineering and Management Sciences, Northwestern University, Evanston, Illinois, USA.
Vikram KilambiDepartment of Engineering and Applied Sciences, RAND Corporation, Arlington, Virginia, USA; RAND Healthcare, Access and Delivery Program, RAND Corporation, Arlington, Virginia, USA.
Richard N FormicaDepartment of Medicine, Yale University School of Medicine, New Haven, Connecticut, USA; Department of Surgery, Yale University School of Medicine, New Haven, Connecticut, USA. Electronic address: Richard.formica@yale.edu.

Funding

Rescuing Kidneys at Risk of DiscardR01DK118425 · NIDDK · NORTHWESTERN UNIVERSITY AT CHICAGO · PI MEHROTRA, SANJAY · 2019 to 2022
$2.8M
NIDDK NIH HHS R01 DK118425
6 · The paper itself

Abstract

The nonuse rate of deceased donor kidneys has increased significantly. The National Organ Transplantation Act requires sequential organ allocation to candidates, which is inefficient for medically complex organs because it increases cold ischemic time and contributes to organ decline. A novel Sliding Scale AdaptiVe Expedited rescue algorithm for deceased donor kidney transplantation was developed that uses the nonuse rate to determine a rescue trigger threshold. Once triggered, allocation occurs in sequential batches, sized proportionately to the nonuse rate. Using the validated organ allocation simulation program KSIM 2.0, the algorithm was evaluated across 20 simulation runs using Organ Procurement and Transplantation Network data before and after implementation of the Kidney Allocation System 250 allocation algorithm. Nonuse was reduced across all kidney donor profile index (KDPI) score strata. Overall, the nonuse of the recovered KDPI score >0.35 kidneys decreased from 38% to as low as 19%. For all kidneys, the nonuse rate reduced from 28% to 14%. Using lower thresholds and larger batch sizes resulted in progressive decreases in nonuse rates of kidneys with KDPI scores >0.65. Increasing the batch size has its largest effect at higher KDPI score deciles. The use of the Sliding Scale AdaptiVe Expedited rescue algorithm for deceased donor kidney transplantation significantly reduces the nonuse rate of deceased donor kidneys while adhering to the principle of sequential allocation.

Indexed as

AlgorithmsKidney TransplantationTissue and Organ ProcurementTissue DonorsCadaverHumanskidney nonusematch runorgan allocationsequence number

Identifiers

PMID41895700
PMCPMC13384028

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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.