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Record W4402816183 · doi:10.1111/bjh.19741

Oral decitabine/cedazuridine versus intravenous decitabine for acute myeloid leukaemia: A randomised, crossover, registration, pharmacokinetics study

2024· article· en· W4402816183 on OpenAlexaff
Klaus Geißler, Zdeněk Kořı́stek, Teresa Bernal, Jan Novák, Gabriela Rodríguez‐Macías, Stephan Metzelder, Árpád Illés, Jiřı́ Mayer, Montserrat Arnán, Mary‐Margaret Keating, Jürgen Krauter, Monia Lunghi, Nicola Stefano Fracchiolla, Uwe Platzbecker, Valeria Santini, Yuri Sano, Aram Oganesian, Harold Keer, Michael Lübbert

Bibliographic record

VenueBritish Journal of Haematology · 2024
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsQueen Elizabeth II Health Sciences Centre
FundersAstex Pharmaceuticals
KeywordsDecitabineMedicinePharmacokineticsMyeloid leukaemiaCrossover studyInternal medicineOncologyPharmacologyPathology

Abstract

fetched live from OpenAlex

for 5-days with orally administered decitabine with cedazuridine (DEC-C), as well as the clinical efficacy and safety of DEC-C in patients with acute myeloid leukaemia (AML) who were ineligible for intensive induction chemotherapy. In all, 89 patients were randomised 1:1 to DEC-IV or oral DEC-C (days 1-5 in a 28-day treatment cycle), followed by 5 days of the other formulation in the next treatment cycle. All patients received oral DEC-C for subsequent treatment cycles until treatment discontinuation. Equivalent systemic decitabine exposures were demonstrated (5-day area under the curve ratio between the two decitabine formulations of 99.64 [90% confidence interval 91.23%, 108.80%]). Demethylation rates also were similar (≤1.1% difference). Median overall survival (OS), clinical response and safety profile with oral DEC-C were consistent with those previously observed with DEC-IV. Next-generation sequencing was performed to identify molecular abnormalities that impact OS and TP53 mutations were associated with a poor outcome. These findings support the use of oral DEC-C in patients with AML.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.271
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.030
GPT teacher head0.364
Teacher spread0.334 · 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 designCase report
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

Citations20
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueBritish Journal of HaematologySame topicAcute Myeloid Leukemia ResearchFrench-language works237,207