Evidence map›Paper›PMID 39808797›Full record

ArticleBlood advances2025

Impacts of donor age and HLA mismatch on HCT outcomes differ according to the donor CMV serostatus in unrelated allo-HCT.

Shunto Kawamura, Daishi Nakagawa, Takashi Nagayama, Yuta Katayama, Noriko Doki, Wataru Takeda, Tetsuya Nishida, Ken-Ichi Matsuoka, Takashi Ikeda, Hiroyuki Ohigashi and 9 more

Abstract read
In one paragraph

Article in Blood advances, 2025. 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
–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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors.

Shunto KawamuraDivision of Hematology, Jichi Medical University Saitama Medical Center, Saitama, Japan.ORCID 0000-0002-7844-9233
Daishi NakagawaDepartment of Hematology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Takashi NagayamaDivision of Cell Transplantation and Transfusion, Jichi Medical University, Shimotsuke, Japan.ORCID 0000-0001-9959-2955
Yuta KatayamaDepartment of Hematology, Hiroshima Red Cross Hospital and Atomic-bomb Survivors Hospital, Hiroshima, Japan.ORCID 0000-0001-5054-9104
Noriko DokiHematology Division, Tokyo Metropolitan Cancer and Infectious Diseases Center, Komagome Hospital, Tokyo, Japan.ORCID 0000-0002-8661-3179
Wataru TakedaDepartment of Hematopoietic Stem Cell Transplantation, National Cancer Center Hospital, Tokyo, Japan.
Tetsuya NishidaDepartment of Hematology, Japanese Red Cross Aichi Medical Center Nagoya Daiichi Hospital, Nagoya, Japan.
Ken-Ichi MatsuokaDepartment of Hematology and Oncology, Okayama University Hospital, Okayama, Japan.
Takashi IkedaDivision of Hematology and Stem Cell Transplantation, Shizuoka Cancer Center, Shizuoka, Japan.ORCID 0000-0003-3976-5230
Hiroyuki OhigashiDepartment of Hematology, Hokkaido University Hospital, Sapporo, Japan.
Masashi SawaDepartment of Hematology and Oncology, Anjo Kosei Hospital, Anjo, Japan.
Kentaro FukushimaDepartment of Hematology and Oncology, Osaka University Hospital, Osaka, Japan.ORCID 0000-0002-8003-2584
Junya KandaDepartment of Hematology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.ORCID 0000-0002-6704-3633
Kentaro SerizawaDivision of Hematology and Rheumatology, Department of Internal Medicine, Kindai University Hospital, Osakasayama, Japan.
Makoto OnizukaDepartment of Hematology/Oncology, Tokai University School of Medicine, Isehara, Japan.
Takahiro FukudaDepartment of Hematopoietic Stem Cell Transplantation, National Cancer Center Hospital, Tokyo, Japan.
Yoshiko AtsutaJapanese Data Center for Hematopoietic Cell Transplantation, Nagakute, Japan.ORCID 0000-0003-4404-2870
Yoshinobu KandaDivision of Hematology, Jichi Medical University Saitama Medical Center, Saitama, Japan.
Hideki NakasoneDivision of Hematology, Jichi Medical University Saitama Medical Center, Saitama, Japan.ORCID 0000-0001-5812-9315

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

abstractIn unrelated allogeneic hematopoietic cell transplantation (allo-HCT), older and/or HLA-mismatched donors are known risk factors for survival outcomes. In healthy individuals, cytomegalovirus (CMV) seropositivity is associated with impaired adaptive immune systems. We assessed whether the adverse effects of donor risk factors are influenced by the donor CMV serostatus. We analyzed 5836 patients with CMV seropositivity who received unrelated allo-HCT. We divided the entire cohort into 2 cohorts according to the donor CMV serostatus: CMV positive (DP) and negative (DN). We also stratified each cohort into 4 groups based on donor age (aged ≥40 or <40 years) and HLA parity (8/8 or 7/8): Young88 and Old88, and Young78 and Old78, respectively. In the CMV-DP cohort, the Old88 (hazard ratio [HR], 1.20; P = .012), Young78 (HR, 1.35; P < .001), and Old78 (HR, 1.60; P < .001) groups were associated with inferior overall survival (OS) than the Young88 group. In contrast, in the CMV-DN cohort, neither donor age nor HLA disparity was associated with inferior OS. The adverse impact of donor age was different between the cohorts (CMV-DP: HR, 1.19; P = .001; CMV-DN: HR, 1.04; P = .53; P for interaction, .070), as was the impact of HLA (CMV-DP: HR, 1.34; P < .001; CMV-DN: HR, 1.08; P = .23; P for interaction, .012). The impacts of donor age and HLA mismatch on OS might differ according to the donor CMV serostatus. In unrelated allo-HCT from a CMV-seronegative donor, an HLA-mismatched older donor may be able to be selected without affecting OS.

Indexed as

CytomegalovirusCytomegalovirus InfectionsHematopoietic Stem Cell TransplantationHLA AntigensUnrelated DonorsAdolescentAdultAgedAge FactorsFemaleHistocompatibility TestingHumansMaleMiddle AgedRisk FactorsTissue DonorsHLA Antigens

Identifiers

PMID39808797
PMCPMC12142802

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LicenceCC BY-NC-ND
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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.