Evidence map›Paper›PMID 41624855›Full record

ArticleFrontiers in immunology2025

An integrative algorithm combining HLA epitope registry, PIRCHE-T2, and PIRCHE-B outcomes to improve immunological risk stratification in kidney transplantation.

He Zhao, Pramath Kakodkar, Eric Wang, Dan Zhang, Matthias Niemann, Destinie Webster, Twyla Pearce, Ahmed Shoker, Paul Keown, Karen Sherwood and 3 more

Abstract read
In one paragraph

Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

13 authors.

He ZhaoDepartment of Obstetrics and Gynecology, Beijing Anzhen Hospital Affiliated to Capital Medical University, Beijing, China.
Pramath KakodkarDepartment of Pathology and Laboratory Medicine, University of Saskatchewan, Saskatoon, SK, Canada.
Eric WangCollege of Medicine, University of Saskatchewan, Saskatoon, SK, Canada.
Dan ZhangDepartment of Pathology and Laboratory Medicine, University of Saskatchewan, Saskatoon, SK, Canada.
Matthias NiemannPIRCHE AG, Research and Development, Berlin, Germany.
Destinie WebsterHistocompatibility and Immunogenetics Laboratory, St. Paul's Hospital, Saskatoon, SK, Canada.
Twyla PearceHistocompatibility and Immunogenetics Laboratory, St. Paul's Hospital, Saskatoon, SK, Canada.
Ahmed ShokerSaskatchewan Transplant Program, Saskatchewan Health Authority, Saskatoon, SK, Canada.
Paul KeownVancouver Coastal Health, University of British Columbia, Vancouver, BC, Canada.
Karen SherwoodVancouver Coastal Health, University of British Columbia, Vancouver, BC, Canada.
Fang WuDepartment of Pathology and Laboratory Medicine, University of Saskatchewan, Saskatoon, SK, Canada.
Cody Lewis *Department of Pathology and Laboratory Medicine, University of Saskatchewan, Saskatoon, SK, Canada.
Ahmed Mostafa *Histocompatibility and Immunogenetics Laboratory, St. Paul's Hospital, Saskatoon, SK, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: Kidney transplantation remains the most effective treatment for end-stage kidney disease. Still, the development of Methods: A retrospective study of 594 kidney transplant recipients in Saskatchewan (1981-2021), Canada, was conducted, tracking Results: Among 594 recipients, 104 individuals (17.5%) developed Conclusion: Integrating Epregistry, PIRCHE-T2, and PIRCHE-B enhances risk stratification for kidney transplant recipients. Epregistry and PIRCHE-B evaluate HLA antibody epitope mismatches, and PIRCHE-T2 focuses on T-cell mismatches. Applied in conjunction, the methods show improved predictive accuracy, making this multi-algorithm approach more effective in identifying high-risk patients. By enabling earlier interventions and personalized immunosuppressive strategies, this model has the potential to improve long-term transplant success.

Indexed as

AlgorithmsEpitopesGraft RejectionHLA AntigensKidney TransplantationAdultFemaleGraft SurvivalHistocompatibility TestingHumansIsoantibodiesMaleMiddle AgedRegistriesRetrospective StudiesRisk AssessmentEpitopesHLA AntigensIsoantibodiesepitopeHLAimmunological riskkidney transplantationmolecular mismatchPIRCHESnow

Identifiers

PMID41624855
PMCPMC12855065

What OpenQuestion holds

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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 OpenQuestion graph.