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Record W4405045956 · doi:10.1182/blood-2024-209001

Burden of Anemia in Myelofibrosis Patients in Japan, South Korea, Taiwan, and Canada: A Real-World Survey and Multinational Database Analysis

2024· article· en· W4405045956 on OpenAlexaboutno aff
Yichen Chen, Katie Lewis, Maryam Munir

Bibliographic record

VenueBlood · 2024
Typearticle
Languageen
FieldMedicine
TopicMyeloproliferative Neoplasms: Diagnosis and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMyelofibrosisMultinational corporationMedicineAnemiaDatabasePolitical scienceInternal medicineBone marrowComputer science

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.136
Threshold uncertainty score0.275

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.006
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.014
GPT teacher head0.259
Teacher spread0.245 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2024
Admission routes1
Has abstractyes

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