Evidence map›Paper›PMID 26431630›Full record

ArticleBiology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation2016

Impact of Allele-Level HLA Mismatch on Outcomes in Recipients of Double Umbilical Cord Blood Transplantation.

Claudio G Brunstein, Effie W Petersdorf, Todd E DeFor, Harriet Noreen, David Maurer, Margaret L MacMillan, Celalettin Ustun, Michael R Verneris, Jeffrey S Miller, Bruce R Blazar and 3 more

Abstract read
In one paragraph

Article in Biology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Trial
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  5. Article
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  11. Evaluation of Cord Blood Total Nucleated and CD34Biology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation · 2020
    Article
  12. Article
  13. Article
  14. Article
  15. Optimal Practices in Unrelated Donor Cord Blood Transplantation for Hematologic Malignancies.Biology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation · 2017
    Review
  16. Article
  17. Article
  18. Review
  19. 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.

Claudio G BrunsteinBlood and Marrow Transplant Program, University of Minnesota, Minneapolis, Minnesota. Electronic address: bruns072@umn.edu.
Effie W PetersdorfDivision of Clinical Research, Fred Hutchinson Cancer Research Center, Seattle, Washington.
Todd E DeForBlood and Marrow Transplant Program, University of Minnesota, Minneapolis, Minnesota.
Harriet NoreenImmunology Laboratory, University of Minnesota, Minneapolis, Minnesota.
David MaurerImmunology Laboratory, University of Minnesota, Minneapolis, Minnesota.
Margaret L MacMillanBlood and Marrow Transplant Program, University of Minnesota, Minneapolis, Minnesota.
Celalettin UstunBlood and Marrow Transplant Program, University of Minnesota, Minneapolis, Minnesota.
Michael R VernerisBlood and Marrow Transplant Program, University of Minnesota, Minneapolis, Minnesota.
Jeffrey S MillerBlood and Marrow Transplant Program, University of Minnesota, Minneapolis, Minnesota.
Bruce R BlazarBlood and Marrow Transplant Program, University of Minnesota, Minneapolis, Minnesota.
Philip B McGlaveBlood and Marrow Transplant Program, University of Minnesota, Minneapolis, Minnesota.
Daniel J WeisdorfBlood and Marrow Transplant Program, University of Minnesota, Minneapolis, Minnesota.
John E WagnerBlood and Marrow Transplant Program, University of Minnesota, Minneapolis, Minnesota.

Funding

Women's CancerP30CA077598 · NCI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI Douglas Yee · 1998 to 2026
$100.4M
Trial Design and Biostatistical Support CoreP01CA065493 · NCI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI Mark J Osborn · 1995 to 2026
$48.2M
University of Minnesota Clinical and Translational Science Institute (UMN CTSI)UL1TR002494 · NCATS · UNIVERSITY OF MINNESOTA · PI BLAZAR, BRUCE R, WEISDORF, DANIEL J · 2018 to 2022
$34.9M
NCATS NIH HHS UL1 TR002494NCI NIH HHS P01 CA065493NCI NIH HHS P01 CA65493NCI NIH HHS P30 CA077598
6 · The paper itself

Abstract

The impact of allele-level HLA mismatch is uncertain in recipients of double umbilical cord blood (UCB) transplantation. We report a single-center retrospective study of the clinical effect of using allele-level HLA mismatch HLA-A, -B, -C, -DRB1, and -DQB1 of the 2 UCB units. We studied 342 patients with hematologic malignancy. Donor-recipient pairs were grouped according to the number of matched HLA alleles, with 32 matched at 9-10/10, 202 at 6-8/10, and 108 at 2-5/10 alleles. The incidence of hematopoietic recovery, acute and chronic graft-versus-host disease, and nonrelapse mortality and treatment failure was similar between groups. In an exploratory analysis of 174 patients with acute leukemia, after adjusting for length of first remission and cytogenetic risk group, a 2-5/10 HLA match was associated with lower risk of relapse and treatment failure. These data indicate that a high degree of allele-level HLA mismatch does not adversely affect transplant outcomes and may be associated with reduced relapse risk in patients with acute leukemia.

Indexed as

AllelesCord Blood Stem Cell TransplantationHematologic NeoplasmsAdolescentAdultAgedAllograftsChildChild, PreschoolDisease-Free SurvivalFemaleHLA AntigensHumansInfantMaleMiddle AgedHLA AntigensAlternative donor transplantHistocompatibilityUmbilical cord blood

Identifiers

PMID26431630
PMCPMC4753126

What OpenQuestion holds

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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.