Evidence map›Paper›PMID 40269278›Full record

ArticleBone marrow transplantation2025

Risk stratification and impact of donor type on breakthrough invasive fungal infections in haematopoietic cell transplant with post-transplant cyclophosphamide and mould-active prophylaxis.

Matteo Chiurlo, Laura Galli, Francesca Farina, Andrea Acerbis, Giovanni Mori, Elisabetta Xue, Daniela Clerici, Sara Mastaglio, Simona Piemontese, Maria T Lupo Stanghellini and 9 more

Abstract read
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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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

19 authors.

Matteo ChiurloSan Raffaele Vita-Salute University, Milan, Italy.
Laura GalliInfectious Diseases Unit, San Raffaele Scientific Institute, Milan, Italy.
Francesca FarinaHematology and Bone Marrow Transplant Unit, San Raffaele Scientific Institute, Milan, Italy.ORCID 0000-0002-5124-6970
Andrea AcerbisHematology and Bone Marrow Transplant Unit, San Raffaele Scientific Institute, Milan, Italy.ORCID 0009-0006-5826-9565
Giovanni MoriSan Raffaele Vita-Salute University, Milan, Italy.ORCID 0000-0003-0399-2220
Elisabetta XueHematology and Bone Marrow Transplant Unit, San Raffaele Scientific Institute, Milan, Italy.
Daniela ClericiHematology and Bone Marrow Transplant Unit, San Raffaele Scientific Institute, Milan, Italy.
Sara MastaglioHematology and Bone Marrow Transplant Unit, San Raffaele Scientific Institute, Milan, Italy.ORCID 0000-0002-1638-3136
Simona PiemonteseHematology and Bone Marrow Transplant Unit, San Raffaele Scientific Institute, Milan, Italy.ORCID 0000-0002-5908-0792
Maria T Lupo StanghelliniHematology and Bone Marrow Transplant Unit, San Raffaele Scientific Institute, Milan, Italy.ORCID 0000-0003-1382-6939
Marco RipaSan Raffaele Vita-Salute University, Milan, Italy.ORCID 0000-0002-6380-0377
Chiara Tassan DinInfectious Diseases Unit, San Raffaele Scientific Institute, Milan, Italy.
Consuelo CortiHematology and Bone Marrow Transplant Unit, San Raffaele Scientific Institute, Milan, Italy.
Jacopo PeccatoriHematology and Bone Marrow Transplant Unit, San Raffaele Scientific Institute, Milan, Italy.
Paolo ScarpelliniInfectious Diseases Unit, San Raffaele Scientific Institute, Milan, Italy.
Antonella CastagnaSan Raffaele Vita-Salute University, Milan, Italy.
Fabio CiceriSan Raffaele Vita-Salute University, Milan, Italy.ORCID 0000-0003-0873-0123
Raffaella Greco *Hematology and Bone Marrow Transplant Unit, San Raffaele Scientific Institute, Milan, Italy.ORCID 0000-0002-6117-5328
Chiara Oltolini *Infectious Diseases Unit, San Raffaele Scientific Institute, Milan, Italy. chiara.oltolini@ospedaleniguarda.it.ORCID 0000-0002-0088-7890

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Incidence of breakthrough proven-probable invasive fungal infections (b-PP-IFIs) in allogeneic haematopoietic cell transplant recipients (allo-HCT-r) receiving mould-active prophylaxis (MAP) and post-transplant cyclophosphamide (PT-Cy) is largely unknown. Retrospective study on allo-HCT-r, classified at high-risk for IFIs whether ≥1 of the following conditions was met: 1] active disease; 2] cord-blood; 3] previous transplant; 4] acute graft-versus-host-disease (a-GVHD) grade≥3; 5] mismatched-related or unrelated donor with neutropenia before transplant or grade-2 a-GVHD or Cytomegalovirus infection. Objectives were to estimate cumulative incidence function (CIF) of b-PP-IFIs, evaluate infection-related mortality (IRM) and predictive factors of b-PP-IFIs. Overall, 473 allo-HCT-r (n = 286 posaconazole, n = 187 voriconazole) were analysed: 64.7% were at high-risk, 81.6% received PT-Cy. Fifteen b-PP-IFIs occurred: 14/306 in high-risk, 1/167 in non-high-risk group. CIF of b-PP-IFIs in high-risk group was 2.0% (95%CI = 0.8-4.1%) at 30-day and 5.1% (95%CI = 2.9-8.2%) at 1-year post-transplant. The 1-year CIF of IRM was higher in allo-HCT-r with b-PP-IFIs compared to those without [46.7% (95%CI = 19.6-70%) vs. 8.2% (95%CI = 5.3-9.2%), Gray's test: p < 0.001]. In allo-HCT-r receiving PT-Cy, neutropenia before transplant [sHR 7.54 (95%CI = 1.81-31.43)] and chronic myeloproliferative disorders versus AML/MDS [sHR 7.72 (95%CI = 1.68-35.42)] increased risk of b-PP-IFIs, while donor type did not. MAP effectively prevented IFIs. PT-Cy conferred a comparable risk of b-PP-IFIs in matched compared to mismatched-transplants.

Indexed as

Antifungal AgentsCyclophosphamideHematopoietic Stem Cell TransplantationInvasive Fungal InfectionsTransplantation ConditioningAdolescentAdultAgedFemaleHumansMaleMiddle AgedRetrospective StudiesRisk FactorsTissue DonorsYoung AdultAntifungal AgentsCyclophosphamide

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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.