Impact of central nervous system involvement in AML on outcomes after allotransplant and utility of pretransplant cerebrospinal fluid assessment
Bibliographic record
Abstract
OBJECTIVE: The primary objective was to assess the effect of central nervous system involvement in acute myeloid leukemia (CNS-AML) on outcomes after allogeneic hematopoietic stem cell transplant (allo-HCT). The secondary objective was to assess the utility of pretransplant cerebrospinal fluid (CSF) assessment in AML. METHODS: We retrospectively analyzed survival outcomes in 338 adult AML patients (with and without CNS-AML) after allo-HCT. CNS involvement was defined as clinical, pathological, or radiological evidence of CNS involvement any time after diagnosis. RESULTS: The median follow-up in surviving patients was 23.7 months. Twenty-five patients (7.4%) had prior history of CNS disease, with normal CSF pretransplant. Three patients had CSF blasts detected for the first time at pretransplant evaluation (0.88%). The 2-year OS and RFS in groups with and without CNS involvement were not significantly different. Patients with CNS-AML had significantly higher 1-year cumulative incidence of relapse (29.7% vs 16.9%, P = .048). Age more than 65 years and absence of marrow remission at transplant were significant adverse factors for survival. CONCLUSION: CNS-AML is not an independent risk factor for survival after allo-HCT, but can be associated with higher relapse rates. Pretransplant CSF assessment has low yield in detecting new CNS disease pretransplant in AML.
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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 | 0.001 | 0.000 |
| 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 | 0.001 |
| 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".