Evidence map›Paper›PMID 42294093›Full record

ArticleTransplant international : official journal of the European Society for Organ Transplantation2026

A discrete time simulation model for kidney allocation in Germany.

Nassim Kakavand, Maarten Coemans, Hans C de Ferrante, Benedikt Kolbrink, Malte Ziemann, David I Radke, Matthias Lindner, Maarten Naesens, Roland Schmitt, Kevin Schulte and 1 more

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Article in Transplant international : official journal of the European Society for Organ Transplantation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Nassim KakavandDepartment of Anesthesiology and Intensive Care Medicine, University Medical Center Schleswig-Holstein, Christian-Albrechts-University, Kiel, Germany.
Maarten CoemansDepartment of Microbiology, Immunology and Transplantation, KU Leuven, Leuven, Belgium.
Hans C de FerranteDepartment of Mathematics and Computer Science, Eindhoven University of Technology, Eindhoven, Netherlands.
Benedikt KolbrinkDepartment of Nephrology and Hypertension, University Medical Center Schleswig-Holstein, Christian-Albrechts-University, Kiel, Germany.
Malte ZiemannInstitute for Transfusion Medicine, University Medical Center Schleswig-Holstein, Universität zu Lübeck, Lübeck, Germany.
David I RadkeDepartment of Anesthesiology and Intensive Care Medicine, University Medical Center Schleswig-Holstein, Christian-Albrechts-University, Kiel, Germany.
Matthias LindnerDepartment of Anesthesiology and Intensive Care Medicine, University Medical Center Schleswig-Holstein, Christian-Albrechts-University, Kiel, Germany.
Maarten NaesensDepartment of Microbiology, Immunology and Transplantation, KU Leuven, Leuven, Belgium.
Roland SchmittDepartment of Nephrology and Hypertension, University Medical Center Schleswig-Holstein, Christian-Albrechts-University, Kiel, Germany.
Kevin Schulte *Department of Nephrology and Hypertension, University Medical Center Schleswig-Holstein, Christian-Albrechts-University, Kiel, Germany.
Friedrich A von Samson-Himmelstjerna *Department of Nephrology and Hypertension, University Medical Center Schleswig-Holstein, Christian-Albrechts-University, Kiel, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ongoing shortage of kidney donations increases pressure to optimize utility and equity in kidney allocation; simulation models allow evaluation of policy changes before implementation. Using data from the German national transplant registry (19,517 kidney transplants), human leukocyte antigen (HLA) information from the German bone marrow donor registry, and the Eurotransplant database, we developed a discrete time simulation model that reconstructs the current German kidney allocation process. To validate the model, we simulated the period from 2006 to 2017 and compared simulated and historical outputs. Waiting list size, numbers of removals and transplants, age distributions, HLA mismatch counts, and predicted long-term survival were highly similar to historic data, indicating solid calibration. As an exemplary application for the allocation model, we explored the effects of omitting the European Senior Program (ESP) from Eurotransplant kidney allocation. This alleviated disparities in waiting time for younger adults and slightly improved overall transplant survival rates, but it worsened access to transplantation for older patients. In conclusion, this discrete time simulation model provides a tool for assessing policy trade-offs on a variety of outcomes before clinical implementation. Further work is needed to generalize the model to the full Eurotransplant area.

Indexed as

Kidney TransplantationTissue and Organ ProcurementAdolescentAdultAgedChildComputer SimulationFemaleGermanyHumansMaleMiddle AgedRegistriesTime FactorsTissue DonorsWaiting Listsdiscrete time simulationEurotransplantGermanykidney allocationsimulated allocation models

Identifiers

PMID42294093
PMCPMC13253491

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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.