Does pretreatment fluorescence<i>in situ</i>hybridization for<i>BCR–ABL</i>predict imatinib-associated hematologic toxicity in chronic myeloid leukemia?
Bibliographic record
Abstract
Imatinib (IM)-associated myelosuppression is rare in gastrointestinal stromal cell tumors (<10%) but common in chronic myeloid leukemia (CML). Selective inhibition of predominantly Philadelphia chromosome (Ph+) driven hematopoiesis may explain myelosuppression in CML. In the absence of clinical methods to quantitate the Ph+/Ph- progenitor ratio, we hypothesized that the pre-IM percentage of BCR-ABL+ cells measured by fluorescence in situ hybridization (FISH) predicts for myelosuppression. FISH analyses performed within 30 days pre-IM 400 mg/day were analyzed in 89 patients with chronic phase CML at three institutions. Patients who developed grade ≥3 cytopenias had a higher percentage of positive FISH (90% vs. 83%; p = 0.02). Cytopenias lasted a median of 16 days, and all patients but one continued IM, achieved complete hematologic and cytogenetic remissions, and did not experience progression, with a follow-up of 61 months. In conclusion, IM-associated cytopenias are associated with a high pre-IM FISH, are reversible, and do not adversely affect outcomes.
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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 | 0.001 | 0.002 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".