Evidence map›Paper›PMID 35799779›Full record

ArticleFrontiers in immunology2022

The Accuracy of Sequence-Specific Oligonucleotide and Real-Time Polymerase Chain Reaction HLA Typing in Determining the Presence of Pre-Transplant Donor-Specific Anti-HLA Antibodies and Total Eplet Mismatches for Deceased Donor Kidney Transplantation.

Nicholas G Larkins, Lloyd D'Orsogna, Anne Taverniti, Ankit Sharma, Aron Chakera, Doris Chan, Anoushka Krishnan, Germaine Wong, Wai H Lim

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.3field-weighted citation impact, top 24% of its field
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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Frontiers in immunology · 2025
    Article
  2. Frontiers in immunology · 2025
    Article
  3. Article
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

9 authors at 5 institutions in 1 country.

Nicholas G LarkinsDepartment of Nephrology, Perth Children's Hospital, Perth, WA, Australia.
Lloyd D'OrsognaDepartment of Clinical Immunology, Fiona Stanley Hospital, Perth, WA, Australia.
Anne TavernitiCentre for Kidney Research, The Children's Hospital at Westmead, Sydney, NSW, Australia.
Ankit SharmaCentre for Kidney Research, The Children's Hospital at Westmead, Sydney, NSW, Australia.
Aron ChakeraDepartment of Renal Medicine, Sir Charles Gardiner Hospital, Perth, WA, Australia.
Doris ChanDepartment of Renal Medicine, Sir Charles Gardiner Hospital, Perth, WA, Australia.
Anoushka KrishnanDepartment of Renal Medicine, Royal Perth Hospital, Perth, WA, Australia.
Germaine WongCentre for Kidney Research, The Children's Hospital at Westmead, Sydney, NSW, Australia.
Wai H LimSchool of Medicine, University of Western Australia, Perth, WA, Australia.
Children's Hospital at Westmead · AUSir Charles Gairdner Hospital · AUFiona Stanley Hospital · AURoyal Perth Hospital · AUThe University of Western Australia · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High resolution human leukocyte antigen (HLA) typing is important in establishing eplet compatibility and the specificity of donor-specific anti-HLA antibodies (DSA). In deceased donor kidney transplantation, high resolution donor HLA typing may not be immediately available, leading to inaccuracies during the organ allocation process. We aimed to determine the concordance and agreement of HLA-Class I and II eplet mismatches calculated using population frequency based allelic haplotype association (linkage disequilibrium, LD) from sequence-specific oligonucleotide (SSO) and real-time polymerase chain reaction (rtPCR) donor HLA typing (available at time of donor kidney allocation) compared to high-resolution Next Generation Sequencing (NGS) donor typing. NGS high resolution HLA typing were available for all recipients prior to donor kidney allocation. A cohort of 94 deceased donor-recipient pairs from a single Western Australian center were included (77 individual donors typed, 55 local and 22 interstate). The number of class I (HLA-A+B+C) and class II (HLA-DRB1+DRB3/4/5+DQB1+DQA1+DPB1+DPA1) eplet mismatches were calculated using HLAMatchmaker, comparing LD- and NGS-HLA typing. The accuracy in assigning pre-transplant DSA was compared between methods. The concordance correlation coefficient (95%CI) for HLA-class I and II eplet mismatches were 0.994 (0.992 to 0.996) and 0.991 (0.986 to 0.993), respectively. The 95% limits of agreement for class I were -1.3 (-1.6 to -1.1) to 1.4 (1.2 to 1.7) and -4.8 (-5.7 to -3.9) to 5.0 (4.1 to 5.9) for Class II. Disagreement between the two methods were present for 11 and 37 of the Class I and II donor/recipient pairs. Of which, 5 had a difference of ≥5 class II eplet mismatches. There were 34 (36%) recipients with potential pre-transplant DSA, of which 8 (24% of recipients with DSA) had indeterminate and ultimately false positive DSA assigned by donor LD-typing. While the concordance between NGS- and LD-typing was high, the limits of agreement suggest meaningful differences between these two techniques. The inaccurate assignment of DSA from donor LD-typing may result in associated HLA being considered unacceptable mismatches, inappropriately precluding candidates' access to transplantation. Accurate imputation of two-field HLA alleles based on LD from SSO and rtPCR HLA typing remains a substantial challenge in clinical practice in-lieu of widely available, rapid, high-resolution methods.

Indexed as

Kidney TransplantationAustraliaHistocompatibility TestingHumansKidneyOligonucleotidesReal-Time Polymerase Chain ReactionTissue DonorsOligonucleotidesepitopesgenotyping techniqueshistocompatibilityhistocompatibility typingkidney transplantationorgan transplantation

Identifiers

PMID35799779
PMCPMC9253866
OpenAlexW4283164630

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.