Role of Cedazuridine/Decitabine in the Management of Myelodysplastic Syndrome and Chronic Myelomonocytic Leukemia
Bibliographic record
Abstract
Myelodysplastic syndrome (MDS) and chronic myelomonocytic leukemia (CMML) are clonal hematopoietic stem cell disorders. Complex disease biology has posed significant challenge to the development of novel therapeutics. Despite myriad clinical trials, none have been superior to azacitidine and decitabine (DEC) therapy. These therapies present a substantial burden for patients with 5 and 7 days of parenteral treatment in an infusion clinic. To overcome this limitation, a fixed drug combination of oral DEC-cedazuridine (C-DEC), a cytidine deaminase inhibitor with documented safety profile was developed. This drug was recently approved by the US FDA, Australian TGA and Health Canada for newly diagnosed or previously treated intermediate or high risk by international prognostic scoring system, MDS and CMML. In this review, we detail the pharmacokinetic and clinical activity of C-DEC in the management of MDS and CMML.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".