Evidence map›Paper›PMID 42253349›Full record

ArticleBlood cell therapy2026

Risk Stratification of Non-Relapse Mortality After Allogeneic Hematopoietic Stem Cell Transplantation Based on Pre-Transplant Sarcopenia and HCT-CI.

Kensaku Kashima, Ayumi Kuzume, Wataru Kitamura, Tomohiro Urata, Haruka Akamatsu, Kako Hamasaki, Ken Matsumoto, Hiroki Iriyoshi, Satoshi Oka, Takuya Machida and 1 more

Abstract read
In one paragraph

Article in Blood cell therapy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

11 authors.

Kensaku KashimaDepartment of Rehabilitation, Kochi Health Sciences Center, Kochi, Japan.
Ayumi KuzumeDepartment of Hematology and Blood Transfusion, Kochi Health Sciences Center, Kochi, Japan.
Wataru KitamuraDepartment of Hematology and Blood Transfusion, Kochi Health Sciences Center, Kochi, Japan.
Tomohiro UrataDepartment of Hematology and Blood Transfusion, Kochi Health Sciences Center, Kochi, Japan.
Haruka AkamatsuDepartment of Nutrition, Kochi Health Sciences Center, Kochi, Japan.
Kako HamasakiDepartment of Nutrition, Kochi Health Sciences Center, Kochi, Japan.
Ken MatsumotoDepartment of Hematology and Blood Transfusion, Kochi Health Sciences Center, Kochi, Japan.
Hiroki IriyoshiDepartment of Hematology and Blood Transfusion, Kochi Health Sciences Center, Kochi, Japan.
Satoshi OkaDepartment of Hematology and Blood Transfusion, Kochi Health Sciences Center, Kochi, Japan.
Takuya MachidaDepartment of Hematology and Blood Transfusion, Kochi Health Sciences Center, Kochi, Japan.
Toshi ImaiDepartment of Hematology and Blood Transfusion, Kochi Health Sciences Center, Kochi, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-relapse mortality (NRM) remains a major and often unavoidable adverse event following allogeneic hematopoietic stem cell transplantation (allo-HSCT), particularly among older adults and patients with multiple comorbidities. Although the hematopoietic cell transplantation-specific comorbidity index (HCT-CI) is widely used for risk assessment, its predictive performance for NRM is limited, particularly for capturing functional status and physiological reserve. Sarcopenia, a marker of physical frailty and reduced physiological reserve, has recently emerged as a potential prognostic marker in transplant populations. This study aimed to determine whether combining pre-transplant sarcopenia with the HCT-CI improves NRM risk stratification after allo-HSCT. We retrospectively analyzed 95 adult patients who underwent their first allo-HSCT at our institution between May 2017 and December 2024. Sarcopenia was diagnosed according to the Asian Working Group for Sarcopenia 2019 criteria using standardized assessments of handgrip strength, gait speed, and skeletal muscle mass index. Patients were classified into high-risk (sarcopenia plus HCT-CI ≥ 3) or low-risk (others) groups. Compared with the low-risk group, the high-risk group showed significantly higher 2-year cumulative incidence of NRM (41.7% vs. 16.1%,

Indexed as

allogeneic hematopoietic stem cell transplantationhematopoietic cell transplantation-specific comorbidity indexnon-relapse mortalitysarcopenia

Identifiers

PMID42253349
PMCPMC13237443

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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.