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Record W6920982174 · doi:10.6084/m9.figshare.26654469

Treatment characteristics and outcomes in lower-risk, non-del(5q) myelodysplastic syndromes: findings from a medical record review in the USA, Canada and Europe

2024· article· en· W6920982174 on OpenAlexaboutno aff

Bibliographic record

VenueFigshare · 2024
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedical recordAnemiaMyelodysplastic syndromesBlood transfusionRetrospective cohort studyMedical treatment

Abstract

fetched live from OpenAlex

Aim: To assess treatment patterns and outcomes in patients with non-del(5q) lower-risk myelodysplastic syndromes. Methods: Patient medical records were reviewed in the USA, Canada (CAN), UK and the EU. Results: Analysis included 119 patients in the USA/CAN (median age, 61.5 years) and 245 patients in the UK/EU (median age, 67.3 years). Most patients received erythropoiesis-stimulating agents (ESAs) as first-line (1L) therapy (USA/CAN: 89.0%; UK/EU: 90.2%). A substantial proportion of 1L erythropoiesis-stimulating agent-treated patients were transfusion dependent before 1L (USA/CAN: 37.1%; UK/EU: 51.2%); a small percentage of these patients achieved transfusion independence during 1L therapy (USA/CAN: 2.8%; UK/EU: 14.4%). Conclusion: These findings highlight an unmet need for more effective treatments among patients with non-del(5q) lower-risk myelodysplastic syndromes. Patients with lower-risk myelodysplastic syndromes (LR-MDS) often present with anemia and frequently require red blood cell transfusions (RBCTs). Transfusion dependence is associated with reduced survival and poor quality of life. Therefore, the goal of LR-MDS treatment is to manage anemia and reduce transfusion burden. In patients with non-del(5q) LR-MDS, erythropoiesis-stimulating agents (ESAs), with or without granulocyte colony-stimulating factor, are an established treatment for anemia in patients who are ESA-naive. Treatment options are limited for patients who are unresponsive to ESAs. Currently, little is known about the real-world treatment patterns and clinical outcomes of patients with non-del(5q) LR-MDS. This retrospective medical record review aimed to describe patient characteristics, treatment patterns and hematologic outcomes among patients with non-del(5q) LR-MDS in the USA, Canada (CAN), UK and EU (France, Germany, Spain). Data were abstracted for 119 patients with non-del(5q) LR-MDS in the USA/CAN and 245 patients in the UK/EU. Most patients initiated first-line (1L) therapy (USA/CAN: 109 [91.6%]; UK/EU: 225 [91.8%]) with a mean time from MDS diagnosis to initiation of 1L treatment of 10.1 months in the USA/CAN and 9.6 months in the UK/EU. The majority of patients received ESAs as 1L therapy (USA/CAN: 97 [89.0%]; UK/EU: 203 [90.2%]) and the median duration of 1L ESA treatment was 25.8 months in the USA/CAN and 31.8 months in the UK/EU. Prior to 1L treatment, 36 patients (37.1%) treated with 1L ESA-containing regimens were transfusion dependent (TD) in the USA/CAN, while 104 patients (51.2%) were TD in the UK/EU. Among these patients who were TD before 1L, only a small proportion (2.8% USA/CAN; 14.4% UK/EU) achieved transfusion independence during 1L. An RBCT reduction was achieved by 41.7% and 52.9% of 1L ESA-treated patients who were TD at treatment initiation in the USA/CAN and UK/EU, respectively. A hemoglobin improvement was achieved by 32.1% of 1L ESA-treated patients in the USA/CAN and 44.8% in the UK/EU. These findings highlight an unmet need in anemia management among patients with non-del(5q) LR-MDS and a requirement for new and more effective treatment options.

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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)0.006
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: Other · Consensus signal: none
Teacher disagreement score0.491
Threshold uncertainty score0.988

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.010
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
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 head0.032
GPT teacher head0.303
Teacher spread0.272 · 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
GenreOther

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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