ReviewClinical transplantation and research2025
Eplet mismatch analysis in kidney transplantation: from concept to clinical practice.
Review in Clinical transplantation and research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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.
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.
Who cites it
2 citing papers in PubMed.
- epiTOol: a browser-based HLA epitope (mis)matching application for small to large cohorts.Frontiers in immunology · 2026Article
- Population-agnostic real-time molecular mismatch estimation using rSSO-defined HLA allele strings: minimal impact of allelic discordance with NGS.Frontiers in immunology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Eplet mismatch analysis offers a refined approach to assessing donor-recipient compatibility in kidney transplantation, surpassing conventional antigen-level human leukocyte antigen (HLA) matching in predicting immunologic outcomes. By identifying polymorphic amino acid residues on HLA molecules recognized by B cell receptors, this method quantifies immunologic risk. Clinical studies demonstrate that high eplet mismatch loads, particularly at HLA-DQ, are strongly associated with
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Registered trials
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.