Trial reportBone marrow transplantation2025
Diagnostic accuracy of liver stiffness measurement for the diagnosis of veno-occlusive disease/sinusoidal obstruction syndrome after hematopoietic stem cell transplantation (HSCT), the ELASTOVOD STUDY: an investigator-initiated, prospective, multicentre diagnostic clinical trial.
Trial report in Bone marrow transplantation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03426358 (Usefulness of Liver Stiffness Measurement in Predicting Hepatic Veno-Occlusive Disease Development in Patients Who Undergo HSCT), which is not on this map. Cited by 3 papers.
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.
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.
Usefulness of Liver Stiffness Measurement in Predicting Hepatic Veno-Occlusive Disease Development in Patients Who Undergo HSCT: a Multicentric Prospective Study
Who cites it
3 citing papers in PubMed.
- Article
- Splenic shear wave elastography beyond portal hypertension: a narrative review of non-portal applications.Journal of ultrasonography · 2026Review
- Prognostic value of liver stiffness measurement for complications after allogeneic transplant with post-transplant cyclophosphamide.Frontiers in immunology · 2025Observational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
43 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Hepatic Veno-occlusive disease/sinusoidal obstruction syndrome (VOD/SOS) is a severe complication following hematopoietic stem cell transplantation (HSCT), traditionally diagnosed based on clinical criteria. This study aimed to evaluate the diagnostic performance of liver stiffness measurement (LSM) as a non-invasive tool for non invasive diagnosis of VOD/SOS. A multicentre clinical trial was conducted in Italy from April 2018 to December 2021, screening 1089 patients across 25 centers. VOD/SOS diagnosis followed established clinical guidelines, and patients underwent comprehensive clinical, laboratory, and imaging evaluations up to +100 days post-HSCT or until VOD/SOS diagnosis. LSM was measured pre-HSCT and on specific post-transplant days (ClinicalTrials.gov: NCT03426358). The study enrolled 774 adults and 167 children. The +100-day incidence of VOD/SOS HSCT was 5.53 and 5.26 in the overall and allo-HSCT population, higher in children (14.3%) than in adults (3.68%). The 100-day overall survival (OS) probability was 89.5% (overall) and 89.0% (allo-HSCT) while one-yr OS 79% and 78%, respectively, with outcomes varying by VOD/SOS occurrence and severity. LSM significantly differed between VOD/SOS patients and non-affected individuals at all post-HSCT time points, correlating with disease severity. A diagnostic algorithm was proposed, achieving ≥95% sensitivity and specificity, with a 6 kPa rule-out and 25 kPa rule-in cut-off, enhanced by the "three-time pre-HSCT rule." Survivors showed declining LSM over time, while non-survivors did not. Fully recovered patients had lower LSM than non-improvers. LSM also distinguished VOD/SOS from other liver complications within +100 days post-HSCT in both adults and children. In conclusion, LSM is a reliable, non-invasive diagnostic tool for VOD/SOS. LSM contribute to differential diagnosis and to treatment response as well. This study underscores the potential of LSM, combined with multidisciplinary expertise, to guide VOD/SOS diagnosis and management in HSCT patients, improving potentially the clinical outcomes.
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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.