Infections and association with different intensity of chemotherapy in children with acute myeloid leukemia
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: The objectives were to compare infections during different intensities of therapy in children with acute myeloid leukemia (AML). METHODS: Subjects were children enrolled in Children's Cancer Group 2891 with AML. In phase 1 (induction), patients were randomized to intensive or standard timing. In phase 2 (consolidation), those with a family donor were allocated allogeneic stem cell transplantation (SCT); the remainder were randomized to autologous SCT or chemotherapy. This report compares infections between different treatments on an intent-to-treat basis. RESULTS: During phase 1, intensive timing was associated with more bacterial (57.7% vs 39.4%; P < .001), fungal (27.4% vs 9.9%; P < .001), and viral (14.0% vs 3.9%; P < .001) infections compared with standard timing. During phase 2, chemotherapy was associated with more bacterial (56.5% vs 40.1%; P = .005), but similar fungal (9.5% vs 6.1%; P = 1.000) and viral (4.2% vs 12.9%; P = .728) infections compared with allogeneic SCT. No differences between chemotherapy and autologous SCT infections were seen. Fatal infections were more common during intensive compared with standard timing induction (5.5% vs 0.9%; P = .004). Infectious deaths were similar between chemotherapy, autologous SCT, and allogeneic SCT. CONCLUSIONS: Prevalence of infection varies depending on the intensity and type of treatment. This information sheds insight into the mechanisms behind susceptibility and outcome of infections in pediatric AML.
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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 | 0.000 |
| 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 it