Successful treatment of AML using non-intensive chemotherapy in Jehovah's Witness patients
Bibliographic record
Abstract
Acute myeloid leukemia (AML) patients undergoing induction chemotherapy receive transfusion support to manage severe cytopenias and associated sequelae. Jehovah's Witness (JW) patients typically decline transfusion of most or all blood products. This can lead to exclusion of JW patients from otherwise life-saving treatments due to safety concerns. We present two cases demonstrating the successful induction of JW patients without the need for red cell or platelet transfusion support; the first, an older AML patient induced with azacitidine & venetoclax; the second, a patient with acute promyelocytic leukemia induced using arsenic trioxide and all-trans retinoic acid. Both patients required modifications to the induction regimens to accommodate their wishes. These cases support growing evidence that selected JW patients with AML can be successfully treated using appropriate accommodations.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".