Dasatinib plus <scp>Peg‐Interferon</scp> alpha 2b combination in newly diagnosed chronic phase chronic myeloid leukaemia: Results of a multicenter phase 2 study (<scp>DASA‐PegIFN</scp> study)
Bibliographic record
Abstract
Summary Superior rates of deep molecular response (DMR) have been reported with the combination of tyrosine kinase inhibitors and pegylated‐interferon‐alpha (Peg‐IFN) in patients with newly diagnosed chronic phase‐chronic myeloid leukaemia (CP‐CML). In this setting, this study investigated the efficacy and safety of dasatinib combined to Peg‐IFN‐α2b (Dasa‐PegIFN, NCT01872442). A total of 79 patients (age ≤65 years) started dasatinib; 61 were eligible for Peg‐IFNα‐2b add‐on therapy at month 3 for a maximum 21‐months duration. Dasatinib was continued thereafter. The primary endpoint was the cumulative rate of molecular response 4.5 log (MR 4.5 ) by 12 months. The results are reported for the 5‐year duration of the study. Grade 3 neutropenia was frequent with the combination but did not induce severe infection (one of grade 3). Other adverse events were generally low grade (4% of grade 3–4) and expected. Seventy‐nine per cent and 61% of patients continued the Peg‐IFN until months 12 and 24, respectively. Overall, at these time points, MR 4.5 rates were 25% and 38%, respectively. Thereafter, 32% and 46% of patients achieved a sustained (≥2 years) MR 4.5 or MR 4 , respectively. This work established the feasibility and high rates of achievement of early and sustained DMR (a prerequisite for treatment‐free‐remission) with dasatinib and Peg‐IFNα‐2b combination as initial therapy.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".