Evidence map›Paper›PMID 28286782›Full record

ArticleJournal of immunology research2017

Computational Approaches to Facilitate Epitope-Based HLA Matching in Solid Organ Transplantation.

Kirsten Geneugelijk, Jeroen Wissing, Dirk Koppenaal, Matthias Niemann, Eric Spierings

Abstract readComparative Study
In one paragraph

Article in Journal of immunology research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Trial
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  3. Review
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  5. Frontiers in immunology · 2025
    Article
  6. Article
  7. Positive Long-Term Outcome of Kidney Allocation via Acceptable Mismatch Program in Highly Sensitized Patients.Transfusion medicine and hemotherapy : offizielles Organ der Deutschen Gesellschaft fur Transfusionsmedizin und Immunhamatologie · 2024
    Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
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  17. Article
  18. Review
  19. Article
  20. Predicting kidney transplant outcomes with partial knowledge of HLA mismatch.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Kirsten GeneugelijkLaboratory of Translational Immunology, University Medical Center Utrecht, Utrecht, Netherlands.ORCID 0000-0002-1689-8383
Jeroen WissingLaboratory of Translational Immunology, University Medical Center Utrecht, Utrecht, Netherlands.
Dirk KoppenaalLaboratory of Translational Immunology, University Medical Center Utrecht, Utrecht, Netherlands.
Matthias NiemannPIRCHE AG, Berlin, Germany.
Eric SpieringsLaboratory of Translational Immunology, University Medical Center Utrecht, Utrecht, Netherlands.ORCID 0000-0001-9441-1019

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epitope-based HLA matching has been emerged over the last few years as an improved method for HLA matching in solid organ transplantation. The epitope-based matching concept has been incorporated in both the PIRCHE-II and the HLAMatchmaker algorithm to find the most suitable donor for a recipient. For these algorithms, high-resolution HLA genotype data of both donor and recipient is required. Since high-resolution HLA genotype data is often not available, we developed a computational method which allows epitope-based HLA matching from serological split level HLA typing relying on HLA haplotype frequencies. To validate this method, we simulated a donor-recipient population for which PIRCHE-II and eplet values were calculated when using both high-resolution HLA genotype data and serological split level HLA typing. The majority of the serological split level HLA-determined

Indexed as

Computational BiologyGene FrequencyGenotypeOrgan TransplantationAlgorithmsEpitopes, B-LymphocyteHistocompatibility TestingHLA AntigensHumansIsoantibodiesReproducibility of ResultsSoftwareTissue DonorsTransplant RecipientsWhite PeopleEpitopes, B-LymphocyteHLA AntigensIsoantibodies

Identifiers

PMID28286782
PMCPMC5329668

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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.