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Enregistrement W4417007331 · doi:10.1182/blood-2025-3862

A comparison of overall survival and quality of life in MDS patients treated with azacytidine vs decitabine: A propensity matched registry Study

2025· article· en· W4417007331 sur OpenAlexaffabout
James T. England, Michelle Geddes, Mitchell Sabloff, Grace Christou, Ève St‐Hilaire, Nicholas Finn, Nancy Zhu, Brian Leber, Alejandro Garcia‐Horton, Amy M. Trottier, April Shamy, Heather A. Leitch, Brett L. Houston, Ivan Landego, Karen Yee, Thomas J. Nevill, John M. Storring, Mohamed Elemary, Robert Delage, Laura Anne Habib, Lisa Chodirker, Signy Chow, Matthew C. Cheung, Lee Mozessohn, James A. Kennedy, Rena Buckstein

Notice bibliographique

RevueBlood · 2025
Typearticle
Langueen
DomaineMedicine
ThématiqueAcute Myeloid Leukemia Research
Établissements canadiensSt Mary's Hospital CentreHEC MontréalQueen Elizabeth II Health Sciences CentreCentre de Développement du Porc du QuébecDr. Georges-L.-Dumont University Hospital CentreSt. Paul's HospitalMcMaster UniversitySaskatchewan Cancer AgencyOttawa HospitalUniversity of Alberta HospitalCancerCare ManitobaAlberta Hospital EdmontonVancouver General HospitalPrincess Margaret Cancer CentreJewish General HospitalSunnybrook Health Science Centre
Organismes subventionnairesnon disponible
Mots-clésDecitabineMyelodysplastic syndromesAzacitidineClinical trialComorbidityCohortQuality of life (healthcare)Disease registryHypomethylating agentRandomized controlled trial

Résumé

récupéré en direct d'OpenAlex

Abstract Background Myelodysplastic neoplasms (MDS) are a group of clonal malignancies of hematopoietic stem cells where progressive cytopenias and potential progression to secondary Acute Myeloid Leukemia (AML) lead to significant morbidity/mortality, impaired quality-of-life (QoL), and healthcare resource burden. Patients with higher-risk MDS are considered for therapy with hypomethylating agents (HMAs), to help restore hematopoiesis, delay progression to AML, and improve overall-survival (OS). Azacytidine (AZA) and decitabine (DEC) have commonly been used without direct clinical trial comparison between these agents. Prior have observed no difference in OS; but these analyses are limited by the lack of patient-level and disease risk factors that may influence efficacy and tolerability. In Canada access to DEC remains inconsistent across jurisdictions due to the lack of direct comparison between available HMAs or in randomized clinical trial against best available therapy. The current study aims to retrospectively evaluate the differences in clinical outcomes for patients treated with AZA or DEC adjusted for disease risk-category and patient-specific factors. Methods The Canadian MDS Registry (MDS-CAN; NCT02537990)) is national cohort of prospectively evaluated patients with MDS which includes data on treatments in addition to baseline disease-risk and patient-specific factors. Patients with a diagnosis of MDS, CMML, or AML with 20-30% blasts, enrolled in the MDS-CAN registry from 2006 to 2025 were included. Baseline data included age, sex, performance status, comorbidity data, frailty score, IPSS-R, and prior MDS treatments. Baseline characteristics were compared using Wilcoxon rank-sum test for continuous variables, and Chi-square or Fisher exact test for categorical variables as appropriate The primary outcome was OS and was compared with log-rank test; evaluated for the whole cohort and then stratified by IPSS-R disease risk. Secondary outcomes included Leukemia-Free Survival (LFS), change in transfusion dependence (TD)/independence (TI) status, and differences in QoL measurements. We also conducted a propensity-score matched analysis of OS and LFS matching patients based on IPSS-R, Rockwood frailty score, and TD status. Results In total 529 patients with MDS were included, of whom 442 were treated with AZA and 87 received DEC. Patients who received DEC had fewer blasts and lower IPSS-R score; Otherwise, there were no observed differences in demographic or clinical features. Patients treated with AZA received more cycles of therapy compared to patients treated with DEC (median [range] 10 [1-111] cycles AZA vs. 5 [1-72] cycles DEC, p<0.0001). With median follow-up of 18.5 (range 0-148) months 401(76%) patients died during the study period. Median OS was longer in the DEC-treated patients (34.4 vs. 21.1 months, p=0.002). When stratified by IPSS-R score there remained a statistically significant difference favouring DEC in patients with IPSS-R score >3.5 (34.4 vs. 20.0 months, P=0.02). No significant difference in LFS was between patients treated with DEC or AZA (90.8 vs. 89.8 months, p=0.08). For the propensity score analysis patients were matched with an a priori model including baseline IPSS-R, Rockwood frailty score, and TD at baseline. In total 76 patients who received DEC were matched to 76 AZA patients. The matched cohorts demonstrated no observed difference in OS (37.0 vs. 31.1 months, p=0.28), or LFS (90.8 vs. 89.8 months, p=0.15) between the treatment groups. Measures of QoL demonstrated remarkable stability over the course of the study for global score, physical functioning, and social functioning, with no significant difference between AZA and DEC treated patients. There was an observed increase in dyspnea (p=0.04) and fatigue (p=0.04) scores over time in DEC-treated patients, while these values improved slightly in patients who received AZA. Conclusion There was no significant difference in survival or global, physical, and social QoL metrics between patients with MDS treated with either DEC or AZA. There may be a survival benefit for DEC in patients with higher-risk MDS (IPSS-R >3.5). Patients who received DEC were treated with fewer cycles of therapy compared to AZA and may have greater increase in fatigue and dyspnea scores.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,003
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,011
Score d'incertitude au seuil0,021

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,003
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0010,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,051
Tête enseignante GPT0,351
Écart entre enseignants0,300 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2025
Routes d'admission2
Résumé présentoui

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