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Record W4403568979 · doi:10.1016/j.htct.2024.09.742

LUSPATERCEPT UTILIZATION PATTERNS IN LOWER-RISK MYELODYSPLASTIC SYNDROMES: FINDINGS FROM A MULTINATIONAL MEDICAL RECORD REVIEW STUDY

2024· article· en· W4403568979 on OpenAlexaboutno aff
María Díez‐Campelo, Aylin Yücel, RK Goyal, Mrudula B. Glassberg, EM Cavalcante, Elizabeth Esterberg, Julien Rombi, Keith L. Davis, Dimana Miteva, Ulrich Germing

Bibliographic record

VenueHematology Transfusion and Cell Therapy · 2024
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMultinational corporationMyelodysplastic syndromesFamily medicineInternal medicineFinance

Abstract

fetched live from OpenAlex

Limited evidence exists from routine clinical practice on patient (pt) characteristics and treatment (tx) patterns in pts treated with luspatercept for lower-risk myelodysplastic syndromes (LR-MDS). This study aimed to describe the baseline demographic and clinical characteristics and patterns of therapy in pts with LR-MDS receiving tx with luspatercept in Canada, Germany, and Spain. This was a noninterventional, retrospective medical records review study. Pts aged ≥18 years, diagnosed with LR-MDS, and treated with luspatercept after its approval in the respective countries were identified for study inclusion by participating hematologists/hem-oncologists (data abstraction period: October–November 2023). Abstracted data on baseline pt characteristics (eg, demographics, comorbidities, genetic risk factors) and luspatercept tx patterns (eg, line of therapy, dosage, time to tx discontinuation) were analyzed descriptively. Findings reported here are based on interim data collected through November 2023 for Canada, Germany, and Spain. Data were abstracted by 47 participating physicians for a total of 114 eligible pts (56 Germany, 52 Spain, and 6 Canada). Median age was 71 years (range, 40–92), 59.6% of pts were male, and 92.1% were White. Revised International Prognostic Scoring System (IPSS-R) risk status was Very low or Low for nearly two-thirds (64.9% [among 111 pts with recorded data]) at LR-MDS diagnosis and for approximately half (53.8% [among 65 pts with recorded data]) at luspatercept initiation. Luspatercept use was most common in the second line (2L, 57.9%), followed by first line (1L, 33.3%), and third or later line (3L+, 8.8%). Among previously treated pts (n = 76), almost all received erythropoietin-stimulating agents (94.7%) before initiating luspatercept. Median follow-up duration was 21.5 months from LR-MDS diagnosis. Median time from LR-MDS diagnosis to luspatercept initiation was 10.7 months (median time to initiation in 1L was 0.9 months). Median dose at luspatercept initiation was 1 mg/kg per administration among those with known dosing data (n = 103), with a majority (91.3%) receiving a 3-weekly cycle. Approximately 17.5% (n = 20) received a dose increase. The median dose as of the last follow-up, reported for 17 pts with a dose increase, was 1.3 mg/kg per administration, cycled every 3 weeks. Median follow-up duration from luspatercept initiation was 8.9 months, and median duration of therapy over this period was 8.7 months. Overall, 14.9% (n = 17) discontinued therapy, and of those with known dosing information (n = 15), 40% had a dose escalation before discontinuation. This analysis of pts with LR-MDS receiving luspatercept in Canada, Germany, and Spain shows that one-third of pts received luspatercept in 1L, patients were followed for approximately 2 years (21.5 months) from LR-MDS diagnosis, and only 40% of pts who discontinued therapy had a dose escalation before discontinuation, suggesting that a better understanding of dose escalation may be needed. This study provides early insights into the prevailing patterns of luspatercept utilization in routine clinical practice in Canada, Germany, and Spain and is expected to inform ongoing and future evaluations of this tx option for pts with LR-MDS. The study was supported by Bristol Myers Squibb. This abstract was previously presented at the EHA Annual Congress (Díez Campelo M, et al. HemaSphere 2024;8[suppl 1]:P1909).

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.273
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.034
GPT teacher head0.332
Teacher spread0.298 · 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 teacher head, not a consensus.

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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