Evidence map›Paper›PMID 38703824›Full record

ArticleTransplantation and cellular therapy2024

Comparison of Older Related versus Younger Unrelated Donors for Older Recipients of Allogeneic Hematopoietic Cell Transplantation with Acute Myeloid Leukemia or Myelodysplastic Syndrome: A Large Single-Center Analysis.

Haesook T Kim, Vincent T Ho, Sarah Nikiforow, Corey Cutler, John Koreth, Roman M Shapiro, Mahasweta Gooptu, Rizwan Romee, Catherine J Wu, Joseph H Antin and 2 more

Abstract readComparative Study
In one paragraph

Article in Transplantation and cellular therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Allogeneic Transplant for CMML.Current hematologic malignancy reports · 2025
    Review
  5. Review
  6. Article
  7. 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

12 authors.

Haesook T KimDepartment of Data Science, Dana-Farber Cancer Institute, Harvard School of Public Health, Boston, Massachusetts. Electronic address: htkimc@jimmy.harvard.edu.
Vincent T HoDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.
Sarah NikiforowDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.
Corey CutlerDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.
John KorethDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.
Roman M ShapiroDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.
Mahasweta GooptuDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.
Rizwan RomeeDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.
Catherine J WuDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.
Joseph H AntinDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.
Jerome RitzDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.
Robert J SoifferDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.

Funding

Single Cell Analysis and ImmunogeneticsP01HL158505 · NHLBI · DANA-FARBER CANCER INST · PI Corey S Cutler · 2022 to 2026
$15.3M
Single Cell and ImmunogenomicsP01CA229092 · NCI · DANA-FARBER CANCER INST · PI SOIFFER, ROBERT JON · 2019 to 2023
$13.8M
NCI NIH HHS P01 CA229092NHLBI NIH HHS P01 HL158505
6 · The paper itself

Abstract

For patients undergoing allogeneic hematopoietic cell transplantation (alloHCT), HLA-matched related donors (MRDs) have traditionally been the preferred donor source. However, as the age of recipients increases, their sibling donors are aging as well. In this study, we investigated whether younger matched unrelated donors (MUDs) might be a better donor source than similarly aged sibling donors for patients age >60 years with acute myeloid leukemia (AML) or myelodysplastic syndrome (MDS). A total of 499 patients age 60 to 70 years with AML or MDS who underwent alloHCT from an older MRD (donor age ≥50 years) or a younger MUD (donor age ≤35 years) between 2010 and 2022 were evaluated. Of these, 360 patients (72%) received an MUD graft and 139 (28%) received an MRD graft. The median recipient age was 64 years in the MRD group and 66 years in the MUD group. With a median follow-up among survivors of 53 months (range, 9 to 147 months ), the 4-year progression-free survival was 40% in the MRD group and 41% in the MUD group (P = .79) and the 4-year overall survival was 50% and 44%, respectively (P = .15), with no between-group differences in nonrelapse mortality, relapse, and acute or chronic graft-versus-host disease. In the MUD group, we also compared the effect of donor age 18 to 24 years and donor age 25 to 35 years and found no differences in outcomes between the groups. We conclude that outcomes are comparable between the use of older MRDs and use of younger MUDs for elderly patients with AML or MDS, that there is no donor age effect among younger MUDs, and that the use of either donor type is reasonable.

Indexed as

Hematopoietic Stem Cell TransplantationLeukemia, Myeloid, AcuteMyelodysplastic SyndromesTransplantation, HomologousUnrelated DonorsAdultAgedAge FactorsFemaleGraft vs Host DiseaseHumansMaleMiddle AgedAllogeneic transplantationAMLDonor ageMDSOlder matched related donorYounger matched unrelated donor

Identifiers

PMID38703824
PMCPMC11223961

What OpenQuestion holds

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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.