Burden of Anemia in Myelofibrosis Patients in Japan, South Korea, Taiwan, and Canada: A Real-World Survey and Multinational Database Analysis
Notice bibliographique
Résumé
Introduction Myelofibrosis (MF) is a myeloproliferative neoplasm characterized as a clonal stem cell-disorder. The current standard of care for MF includes Janus kinase inhibitors (JAKi); however, despite alleviating splenomegaly and symptoms, some JAKi treatments do not modify the underlying disease and can worsen anemia and thrombocytopenia. About 40% of patients (pts) with MF have moderate to severe anemia at diagnosis. Some JAKi treatments may induce or exacerbate MF-related anemia, which is a significant limitation. Anemia and transfusion requirements are associated with poor outcomes and the burden is underrecognized in some parts of the world. The study reported here explored physicians' perspectives on the management of pts with MF and anemia, and examined chart reviews to determine pt characteristics. Methods Adelphi MF I Disease Specific Programme™ data were derived from a cross-sectional survey with retrospective data collection comprising hematologists and hemato-oncologists in Japan, South Korea, Taiwan, and Canada, with data collection estimated to be between May and October 2024. Data on physicians' perceptions on treatment management and disease burden were collected within the physician survey, with pt level chart data captured within patient record forms (PRFs). PRFs were completed by physicians for their next 3-4 consecutively consulting pts, with each physician completing 1 PRF for pts with low-risk (LR) or intermediate-risk (IR) MF and 3 PRFs for pts with high-risk (HR) MF (per the International Prognostic Scoring System [IPSS] risk classification system). This abstract presents interim data (cutoff: July 2024) and the full dataset will be presented in the poster (publication funded by GSK [221309]). Results At interim analysis, surveys were completed by 26 physicians (Japan: n=5, South Korea: n=1, Taiwan: n=10, Canada: n=10), who managed a median (range) of 10.5 (2-100) pts with MF. For LR, IR, and HR pts, physicians reported transfusion dependence (TD; defined as pts receiving ≥6 units of red blood cell/whole blood transfusions in 12 weeks or 4 units in 8 weeks) in a median (range) of 10% (0-50%; n=25), 30% (0-100%; n=25), and 60% (0-100%; n=26), respectively. Out of all physicians (n=26), most considered reducing the need for transfusions (88 [LR]-92% [IR and HR]), improving or stabilizing Hb levels (80 [LR]-92% [HR]), and reducing fatigue (76 [LR]-88% [HR]) as either very or extremely important when choosing treatment regimens for pts across all risk levels. Across the IPSS risk levels (LR: n=25; IR: n=26; HR: n=25), the most important factors for determining the most appropriate treatment and management plan for pts with MF were pt quality of life (QoL; LR: 36% [9/25]; IR: 31% [8/26]; HR: 20% [5/25]), risk classification (LR: 20% [5/25]; IR: 27% [7/26]; HR: 28% [7/25]), Hb levels (LR: 16% [4/25]; IR: 12% [3/26]; HR: 4% [1/25]), and pt preferences/requests (LR: 16% [4/25]; IR: 4% [1/26]; HR: 12% [3/25]). Regardless of IPSS score, maintaining QoL (LR: 76%, [19/25]; IR: 65% [17/26]; HR: 68% [17/25]), improving overall survival (LR: 48% [12/25]; IR: 54% [14/26]; HR: 56% [14/25]), and delaying disease progression (LR: 40% [10/25]; IR: 50% [13/26]; HR: 48% [12/25]) were ranked 1 out of 3 as the most important goals for pts with MF. Most physicians (81% [21/26]) reported that ruxolitinib (RUX) increased the severity of anemia in pts with MF. PRFs were completed for 44 pts (South Korea: n=5, Taiwan: n=27, Canada: n=12). At data collection, the median (range) age was 67.0 (36.0-90.0) years and 45% (n=20) were female. At MF diagnosis, 34% of pts (15/44) had intermediate-2 risk MF, which was the category with the highest percentage of pts. At initial presentation of MF symptoms, 75% of pts (33/44) had anemia, with the median (range) Hb level being 8.0 (5-12) g/dL at anemia diagnosis. Of pts with MF, 26 received systemic drug treatment with the most common frontline treatment being RUX (77% [20/26]). Conclusions Most pts presented with anemia and most received RUX as their first line of treatment. Physicians agreed that reducing transfusion burden, improving Hb levels, and reducing fatigue are critical factors that determine the choice of therapy, especially as existing JAKi significantly increase these risks. Anemia complicates the management of MF and reiterates the need for tailored therapeutic approaches that addresses the underlying disease and the associated hematologic complications.
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,002 | 0,006 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».