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Record W4401584219 · doi:10.1080/14796694.2024.2379228

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· W4401584219 on OpenAlexaboutno aff
María Diez‐Campelo, Aylin Yücel, RK Goyal, Rohan Parikh, Elizabeth Esterberg, Maria Jimenez, Martina Sluga-O'Callaghan, Dimana Miteva, Hong Xiao, Ulrich Germing

Bibliographic record

VenueFuture Oncology · 2024
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsnot available
FundersBristol-Myers Squibb
KeywordsMedicineMyelodysplastic syndromesFamily medicineMedical recordGerontologyInternal medicine

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.486
Threshold uncertainty score0.807

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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)0.0010.000

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 head0.016
GPT teacher head0.315
Teacher spread0.299 · 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.

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".

Quick stats

Citations2
Published2024
Admission routes1
Has abstractyes

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