Evidence map›Paper›PMID 40269279›Full record

ArticleBone marrow transplantation2025

Cytokine release syndrome: implications for transplant outcomes in haploidentical and HLA-matched HSCT using PTCy.

Rafael Benavente, Juan Montoro, Aitana Balaguer-Roselló, Marta Villalba, Pedro Chorão, Pedro Asensi, Pablo Granados, Pilar Lloret, Inés Gómez-Seguí, Pilar Solves and 11 more

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Article in Bone marrow transplantation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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  5. 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

21 authors.

Rafael BenaventeInternal Medicine Department, University of Chile, Santiago, Chile.ORCID 0000-0002-5322-2374
Juan MontoroHematology Department, Hospital Universitari i Politècnic La Fe, València, Spain.ORCID 0000-0003-0024-8068
Aitana Balaguer-RosellóHematology Department, Hospital Universitari i Politècnic La Fe, València, Spain.ORCID 0000-0003-1633-2918
Marta VillalbaHematology Department, Hospital Universitari i Politècnic La Fe, València, Spain.ORCID 0000-0003-3094-331X
Pedro ChorãoHematology Department, Hospital Universitari i Politècnic La Fe, València, Spain.ORCID 0000-0001-6741-971X
Pedro AsensiHematology Department, Hospital Universitari i Politècnic La Fe, València, Spain.ORCID 0000-0002-6504-3656
Pablo GranadosHematology Department, Hospital Universitari i Politècnic La Fe, València, Spain.
Pilar LloretHematology Department, Hospital Universitari i Politècnic La Fe, València, Spain.
Inés Gómez-SeguíHematology Department, Hospital Universitari i Politècnic La Fe, València, Spain.
Pilar SolvesHematology Department, Hospital Universitari i Politècnic La Fe, València, Spain.ORCID 0000-0002-6541-7494
Marta SantiagoHematology Department, Hospital Universitari i Politècnic La Fe, València, Spain.
Brais LamasHematology Department, Hospital Universitari i Politècnic La Fe, València, Spain.
Ana BatallerHematology Department, Hospital Universitari i Politècnic La Fe, València, Spain.
Juan EirísHematology Department, Hospital Universitari i Politècnic La Fe, València, Spain.ORCID 0000-0002-1118-527X
David MartinezHematology Department, Hospital Universitari i Politècnic La Fe, València, Spain.ORCID 0000-0001-8051-5933
Alberto LouroInstituto de Investigación Sanitaria La Fe, València, Spain.
Paula RebollarInstituto de Investigación Sanitaria La Fe, València, Spain.
Aurora PerlaInstituto de Investigación Sanitaria La Fe, València, Spain.
Javier de la RubiaHematology Department, Hospital Universitari i Politècnic La Fe, València, Spain.ORCID 0000-0002-8354-768X
Miguel Á SanzInstituto de Investigación Sanitaria La Fe, València, Spain.ORCID 0000-0003-1489-1177
Jaime SanzHematology Department, Hospital Universitari i Politècnic La Fe, València, Spain. Jaime.Sanz@uv.es.ORCID 0000-0001-6934-4619

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study assessed 552 allogeneic hematopoietic cell transplantation (HCT) recipients with posttransplant cyclophosphamide (PTCy) to evaluate the incidence, characteristics, risk factors, and impact of early posttransplant cytokine release syndrome (CRS) on outcomes. The cohort included 36% matched sibling donors (MSD), 34% matched unrelated donors (MUD), 27% haploidentical donors, and 4% mismatched unrelated donors (MMUD). CRS was observed in 182 patients, with the highest incidence in haploidentical transplants (80%) compared to MMUD (32%), MUD (23%), and MSD (8%). Most CRS cases were mild, with 93% classified as grade 1 and 6% as grade 2, with only one severe case of grade 3. In haploidentical transplants, CRS was linked to a lower risk of severe chronic graft-versus-host disease (GVHD) and non-relapse mortality (NRM), leading to improved overall survival. In contrast, among HLA-matched recipients (MSD and MUD), there were no significant differences in outcomes between those with or without CRS. However, subgroup analysis revealed that CRS in patients with myeloid malignancies, including acute myeloid leukemia, myelodysplastic syndromes, and myeloproliferative neoplasms, was associated with a reduced relapse rate, improving survival outcomes. In conclusion, while CRS is typically mild and short-lived, it significantly impacts survival, particularly in haploidentical transplants and HLA-matched patients with myeloid malignancies.

Indexed as

CyclophosphamideCytokine Release SyndromeHematopoietic Stem Cell TransplantationTransplantation ConditioningTransplantation, HaploidenticalAdolescentAdultAgedChildFemaleGraft vs Host DiseaseHumansMaleMiddle AgedTreatment OutcomeYoung AdultCyclophosphamide

Identifiers

What OpenQuestion holds

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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.