Evidence map›Paper›PMID 33063680›Full record

ArticleAnnals of laboratory medicine2021

Prediction of HLA-DQ in Deceased Donors and its Clinical Significance in Kidney Transplantation.

Soo-Kyung Kim, John Jeongseok Yang, Sang-Hyun Hwang, Heungsup Sung, Sung Shin, Sun-Young Ko, Heung-Bum Oh

Open access · diamondAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Annals of laboratory medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 40% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Observational
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

7 authors at 3 institutions in 1 country.

Soo-Kyung KimDepartment of Laboratory Medicine, College of Medicine, Ewha Womans University, Seoul, Korea.ORCID https://orcid.org/0000-0001-9406-8628
John Jeongseok YangDepartment of Laboratory Medicine, University of Ulsan College of Medicine and Asan Medical Center, Seoul, Korea.ORCID https://orcid.org/0000-0002-7739-1009
Sang-Hyun HwangDepartment of Laboratory Medicine, University of Ulsan College of Medicine and Asan Medical Center, Seoul, Korea.ORCID https://orcid.org/0000-0003-3201-5728
Heungsup SungDepartment of Laboratory Medicine, University of Ulsan College of Medicine and Asan Medical Center, Seoul, Korea.ORCID https://orcid.org/0000-0002-6062-4451
Sung ShinDivision of Kidney and Pancreas Transplantation, Department of Surgery, University of Ulsan College of Medicine and Asan Medical Center, Seoul, Korea.ORCID https://orcid.org/0000-0001-7318-4208
Sun-Young KoDepartment of Laboratory Medicine, College of Medicine, Korea University, Seoul, Korea.ORCID https://orcid.org/0000-0002-1108-8381
Heung-Bum OhDepartment of Laboratory Medicine, University of Ulsan College of Medicine and Asan Medical Center, Seoul, Korea.ORCID https://orcid.org/0000-0001-6728-4640
Ulsan College · KREwha Womans University · KRKorea University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHLA-DQ typing in deceased donors is not mandatory in Korea. Therefore, when patients develop DQ antibodies after kidney transplantation (KT) from deceased donor, it is impossible to determine whether they are donor-specific antibodies (DSA). We developed DQ prediction programs for the HLA gene and evaluated their clinical utility.

methodsTwo HLA-DQ prediction programs were developed: one based on Lewontin's linkage disequilibrium (LD) and haplotype frequency and the other on an artificial neural network (ANN). Low-resolution HLA-A, -B, -DR, and -DQ typing data of 5,603 Korean patients were analyzed in terms of haplotype frequency and used to develop an ANN DQ prediction program. Predicted DQ (pDQ) genotype accuracy was analyzed using the typed DQ data of 403 patients. pDQ DSA agreement, sensitivity, specificity, and false-negative rate was evaluated using 1,970 single-antigen bead assays performed on 885 KT recipients. The clinical significance of DQ and pDQ DSA was evaluated in 411 KT recipients.

resultspDQ genotype accuracies were 75.4% (LD algorithm) and 75.7% (ANN). When the second most likely pDQ (LD algorithm) was also considered, the genotype accuracy increased to 92.6%. pDQ DSA (LD algorithm) agreement, sensitivity, specificity, and false-negative rate were 97.5%, 97.3%, 98.6%, and 2.4%, respectively. The antibody-mediated rejection treatment frequency was significantly higher in DQ or pDQ DSA-positive patients than in DQ or pDQ DSA-negative patients (

conclusionsOur DQ prediction programs showed good accuracy and could aid DQ DSA detection in patients who had undergone deceased donor KT without donor HLA-DQ typing.

Indexed as

Kidney TransplantationGraft RejectionGraft SurvivalHistocompatibility TestingHLA-DQ AntigensHumansIsoantibodiesRepublic of KoreaTissue DonorsHLA-DQ AntigensIsoantibodiesArtificial neural networkDonor-specific antibodyHLA-DQKidney transplantationLinkage disequilibrium

Identifiers

PMID33063680
PMCPMC7591288
OpenAlexW3092752105

What OpenQuestion holds

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LicenceCC BY-NC
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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.