Evidence map›Paper›PMID 31599339›Full record

ArticlePediatric nephrology (Berlin, Germany)2020

Eplet mismatch analysis and allograft outcome across racially diverse groups in a pediatric transplant cohort: a single-center analysis.

Mary Carmelle Philogene, Anita Amin, Sheng Zhou, Olga Charnaya, Renato Vega, Niraj Desai, Alicia M Neu, Cozumel S Pruette

Erratum issuedAbstract readComparative Study
In one paragraph

Article in Pediatric nephrology (Berlin, Germany), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Belatacept with time-limited tacrolimus coimmunosuppression modifies the 3-year risk of eplet mismatch in kidney transplantation.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2024
    Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Emerging monitoring technologies in kidney transplantation.Pediatric nephrology (Berlin, Germany) · 2021
    Review
  15. Humanized Mouse Models for Evaluation of PSC Immunogenicity.Current protocols in stem cell biology · 2020
    Review
  16. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Mary Carmelle PhilogeneDepartment of Medicine, Johns Hopkins School of Medicine, 2041 E. Monument Street, Baltimore, MD, 21205, USA. mphilogene@jhmi.edu.ORCID 0000-0002-4091-9113
Anita AminDepartment of Neurology, University of North Carolina School of Medicine, 115 Mason Farm Road, Chapel Hill, NC, 27599, USA.
Sheng ZhouDepartment of Surgery, Johns Hopkins University School of Medicine, 720 Rutland Ave Turner 34, Baltimore, MD, 21205, USA.
Olga CharnayaDepartment of Pediatric Nephrology, Rubenstein Child Health Building, Johns Hopkins University School of Medicine, 200 N. Wolfe Street, Baltimore, MD, 21287, USA.
Renato VegaDepartment of Medicine, Johns Hopkins School of Medicine, 2041 E. Monument Street, Baltimore, MD, 21205, USA.
Niraj DesaiDepartment of Surgery, Johns Hopkins University School of Medicine, 720 Rutland Ave Turner 34, Baltimore, MD, 21205, USA.
Alicia M NeuDepartment of Pediatric Nephrology, Rubenstein Child Health Building, Johns Hopkins University School of Medicine, 200 N. Wolfe Street, Baltimore, MD, 21287, USA.
Cozumel S PruetteDepartment of Pediatric Nephrology, Rubenstein Child Health Building, Johns Hopkins University School of Medicine, 200 N. Wolfe Street, Baltimore, MD, 21287, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

HLA eplet mismatch load has been suggested as an improvement to HLA antigen mismatch determination for organ selection. Given that eplet mismatches are determined based on amino acid sequence difference among HLA alleles, and that the frequency of HLA alleles varies between racial groups, we investigated the correlation between eplet mismatch load and allograft outcomes in 110 pediatric kidney transplant recipients who received their first organ from a donor of the same race (SRT) versus a donor of a different race (DRT). Adjusted modified Poisson regression was used to assess the interaction between eplet mismatch load and race mismatch and its effect on outcome. Caucasians and living donor recipients had lower eplet mismatched loads against their donors compared with non-Caucasian and deceased donor recipients. Overall, for the entire population, the risk of de novo HLA-DSA development was significantly increased with higher eplet loads (p < 0.001). Compared with the SRT group, the DRT group had higher eplet loads when compared with their donor, for HLA class I but not HLA class II molecules; however, there was no significant difference in the incidence of de novo HLA-DSA between the 2 groups. The risk of rejection increased significantly for DRT compared with SRT, only when class I eplet load was ≥ 70 (p = 0.04). Together this data show that eplet mismatch load analysis is an effective tool for alloimmune risk assessment. If considered for donor selection, acceptable eplet mismatch loads determined from studies in homogenous populations may restrict transplantation across racially diverse donor and patient groups with no evidence of poor outcome. Therefore, an acceptable eplet mismatch load threshold must consider the heterogeneity of the transplant population.

Indexed as

AdolescentAdultAllograftsBiopsyChildChild, PreschoolDonor SelectionFemaleGraft RejectionGraft SurvivalHistocompatibility TestingHLA AntigensHumansKidneyKidney Failure, ChronicKidney TransplantationHLA AntigensDonorEpletRecipient

Identifiers

PMID31599339
PMCPMC6901410

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.