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Bibliographic record
Abstract
There are increasing reports of Philadelphia-negative (Ph-negative) clonal hematopoiesis developing among patients with chronic myeloid leukemia (CML) treated with imatinib mesylate (IM). To establish the incidence and significance of these chromosomal abnormalities, we analyzed data on 141 consecutive patients with CML treated with IM at the British Columbia Cancer Agency and Vancouver General Hospital from 1999 to 2004. The cumulative incidence of developing a Ph-negative clone three years from the start of IM was 8.7% at a median of 13.3 months. The Ph-negative clonal abnormalities included monosomy 7 and/or trisomy 8 (seven patients), monosomy for chromosomes X and 22 (one patient), and a (12;16) translocation (one patient). Two of the patients presented with the same chromosomal abnormality in both Ph-negative and Ph-positive cells. None of the Ph-negative clonal abnormalities was associated with myelodysplasia. In a multivariate analysis, an interval from diagnosis to initiation of IM of 1 year or less was associated with an increased risk of developing a Ph-negative clone (relative risk = 20.2; P = 0.025). There was no difference, however, in event-free survival between patients who did and did not develop Ph-negative clones. Therefore, while the development of Ph-negative clonal hematopoiesis in patients with CML treated with IM is uncommon, it appears to be more frequent than that previously seen with IFN, but it does not seem to confer a worse prognosis.
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 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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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; both teacher heads agree on what is shown here.
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".