Evidence map›Paper›PMID 21963622›Full record

ArticleBiology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation2012

Scoring HLA class I mismatches by HistoCheck does not predict clinical outcome in unrelated hematopoietic stem cell transplantation.

Stephen Spellman, John Klein, Michael Haagenson, Medhat Askar, Lee Ann Baxter-Lowe, Jun He, Susan Hsu, Rainer Blasczyk, Carolyn Hurley

Abstract read
In one paragraph

Article in Biology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 3 pooled it
–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

22 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Guideline
  2. Guideline
  3. Guideline
  4. Trial
  5. Article
  6. Article
  7. Review
  8. Hematology 2022-what is complete HLA match in 2022?Hematology. American Society of Hematology. Education Program · 2022
    Article
  9. Article
  10. HLA Matching in Unrelated Stem Cell Transplantation up to Date.Transfusion medicine and hemotherapy : offizielles Organ der Deutschen Gesellschaft fur Transfusionsmedizin und Immunhamatologie · 2019
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Biologic markers of chronic GVHD.Bone marrow transplantation · 2014
    Review
  16. Article
  17. Predicting alloreactivity in transplantation.Journal of immunology research · 2014
    Review
  18. Review
  19. Review
  20. 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.

Stephen SpellmanCenter for International Blood and Marrow Transplant Research, Minneapolis, Minnesota 55413, USA. sspellma@nmdp.org
John Klein
Michael Haagenson
Medhat Askar
Lee Ann Baxter-Lowe
Jun He
Susan Hsu
Rainer Blasczyk
Carolyn Hurley

Funding

Data Resource for Analyzing Blood &Marrow TransplantsU24CA076518 · NCI · MEDICAL COLLEGE OF WISCONSIN · PI Amy M Moskop, Bronwen Shaw · 1998 to 2026
$105.2M
PB vs. BMU01HL069294 · NHLBI · MEDICAL COLLEGE OF WISCONSIN · PI HOROWITZ, MARY MARESCA · 2001 to 2010
$63.3M
NCI NIH HHS U24 CA076518NCI NIH HHS U24-CA76518NHLBI NIH HHS 5U01HL069294NHLBI NIH HHS U01 HL069294
6 · The paper itself

Abstract

Currently, there is no well-accepted rating system for reliably predicting which HLA-mismatched (MM) unrelated donor should be selected for a patient without an HLA allele-matched donor. We evaluated the ability of an MM ranking system, HistoCheck, to predict the risk associated with HLA class I disparity in a population of 744 single allele or antigen HLA-A, -B, or -C MM myeloablative unrelated donor hematopoietic stem cell transplantation recipients with acute myelogenous leukemia, acute lymphoblastic leukemia, chronic myelogenous leukemia, or myelodysplastic syndrome, facilitated through the National Marrow Donor Program between 1988 and 2003. Multivariate models were used to adjust for other significant clinical risk factors. HLA MMs were scored using the HistoCheck Web-based tool, and the patients were divided into 4 quartiles: dissimilarity score (DSS) 1.04-2.84 (allele MM), DSS >2.84-13.75 (allele and antigen MM), DSS >13.75-19.39 (antigen MM), and DSS >19.39-36.62 (antigen MM). Using the lowest scoring quartile as the reference, the DSS groups were evaluated for associations with relapse, treatment-related mortality, acute and chronic graft-versus-host disease, leukemia-free survival, and overall survival in the entire cohort and also in subset analyses by disease and disease stage. No significant associations were found between DSS and any outcomes in the overall cohort using the quartile categories or treating DSS as a continuous variable. Higher DSS scores were associated with decreased engraftment in early-stage disease (P = .0003), but not in other disease stages. In summary, DSS does not correlate with transplantation outcomes, and the HistoCheck scoring system does not provide an effective technique for ranking HLA class I MM. The dataset used in this study is available to evaluate new algorithms proposed for donor selection.

Indexed as

Hematopoietic Stem Cell TransplantationHistocompatibility TestingAdolescentAdultAgedAllelesFemaleGraft vs Host DiseaseHLA AntigensHumansLeukemia, MyeloidMaleMiddle AgedMultivariate AnalysisRecurrenceRegistriesHLA Antigens

Identifiers

PMID21963622
PMCPMC3270214

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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.