The fludarabine, cytarabine, and granulocyte colony‐stimulating factor (FLAG) chemotherapy regimen is an alternative to anthracycline‐based therapy for the treatment of acute myeloid leukemia for patients with pre‐existing cardiac disease
Bibliographic record
Abstract
We conducted a retrospective study assessing FLAG (fludarabine, cytarabine, and granulocyte colony-stimulating factor) as first-line treatment in 56 newly diagnosed acute myeloid leukemia patients considered ineligible for anthracycline-based treatment due to advanced age, significant comorbidities, or pre-existing cardiac disease. The median age was 69 (21-80); 46% received FLAG for pre-existing cardiac disease and others due to age (32%), non-cardiac comorbidities (20%), or previous anthracycline exposure (2%). The induction mortality was 16% and, among evaluable patients, 48% achieved a complete remission after the first induction course with an additional patient achieving a remission after a second course for a total complete remission rate of 50%. Four patients proceeded to an allogeneic stem cell transplant including two with pre-existing cardiac disease. Among non-transplanted patients, the relapse rate (RR) was 47%. When censored at time of stem cell transplant, the median relapse-free survival was 14.7 months. The median overall survival was 9.3 months with 1- and 2-yr survivals of 44% and 22%, respectively. There was no difference in clinical outcomes between patients treated with FLAG for cardiac reasons vs. other reasons. In conclusion, FLAG is a useful alternative to anthracycline-based induction for Acute myeloid leukemia in those with significant comorbidities including pre-existing cardiac disease.
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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 | 0.000 | 0.001 |
| 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) | 0.000 | 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 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".