Switching TKIs during CML therapy is frequent, mostly driven by intolerance, and does not affect survival: a prospective Quebec registry study
Bibliographic record
Abstract
Tyrosine kinase inhibitors (TKI) targeting the BCR::ABL1 fusion gene have dramatically improved the prognosis of patients with chronic myeloid leukemia (CML) to the point where most patients can enjoy a normal life expectancy [ 1 ]. Outside of clinical trials, the use of different TKIs in 1 L is largely influenced by drug accessibility, toxicity profile [ 2 ], and treatment-free remission (TFR) as the therapeutic goal [ 3 ]. However, there is a paucity of information on how therapeutic choices are made in the real-world (RW) setting, and on how resistance and tolerance drive switching compared to published clinical trials [ 4 ]. This study aimed to document treatment patterns and outcomes from a large provincial CML registry that includes 20 oncology centers, comprising both academic and community-based hospitals, reflecting a broad general treatment population.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.005 |
| 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".