Outcome after intensive reinduction therapy and allogeneic stem cell transplant in paediatric relapsed acute myeloid leukaemia
Bibliographic record
Abstract
Summary Given that 30–40% of children with acute myeloid leukaemia ( AML ) relapse after primary therapy it is important to define prognostic factors and identify optimal therapy. From 1993 to 2012, 543 children from the Nordic countries were treated according to two consecutive protocols: 208 children relapsed. The influence of disease characteristics, first line treatment, relapse therapy and duration of first remission on outcome was analysed. Second complete remission ( CR 2) was achieved in 146 (70%) patients. Estimated 5‐year overall survival ( OS 5y ) was 39 ± 4% for the whole group and 43 ± 4% for the 190 patients given re‐induction therapy, of whom 76% received regimens that included fludarabine, cytarabine ( FLA ) ± anthracyclines, 18% received Nordic Society for Paediatric Haematology and Oncology ( NOPHO ) upfront blocks and 5% received other regimens. Late relapse ≥1 year from diagnosis, no allogeneic stem cell transplantation ( SCT ) in first remission and core binding factor AML were independent favourable prognostic factors for survival. For the 128 children (124 in CR 2) that received SCT as consolidation therapy after relapse, OS 5y was 61 ± 5%. Four of 19 children (21%) survived without receiving SCT as part of relapse therapy. Our data show that intensive re‐induction followed by SCT can give cure rates of 40% in children with relapsed 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".