Extensive Bone Marrow Necrosis in a Case of Acute Myeloid Leukemia Transformed from a Myeloproliferative Neoplasm
Bibliographic record
Abstract
Extensive necrosis affecting more than 50%percnt; of the bone marrow is an extremely rare histopathological finding. Relatively little is known about its clinical significance because it is most commonly identified at autopsy - whether it is an independent prognostic marker or whether it is a surrogate marker of underlying disease burden remains unclear. We describe herein a case of a 66-year-old patient with acute myeloid leukemia who presented with acute bone marrow failure and was found to have extensive necrosis. We include presenting clinical features, pathology attained at biopsy, and the challenge of treatment. Bone marrow necrosis is a rare but important clinicopathological entity whose recognition may herald the way for more effective prognostication of underlying disease.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 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".