ABO Group as a Thrombotic Risk Factor in Children With Acute Lymphoblastic Leukemia
Bibliographic record
Abstract
Children with acute lymphoblastic leukemia (ALL) are at high risk of thrombotic complications, resulting from multiple risk factors (malignancy, chemotherapy, central venous access devices, and inherent host characteristics). Non-O blood groups have been associated with an increased risk of venous thromboembolism (VTE) in adults, with a compounding effect in the presence of thrombophilia or cancer. We hypothesized that among children with ALL receiving a standardized protocol, there would be an increased risk of thrombotic events in non-O compared with O blood group patients. In a retrospective study of 523 children with ALL from June 1995 to April 2013, there were 56 (10.7%) thromboembolic events. Patients with VTE were compared with the whole cohort, based on blood group, age, sex, leukemia phenotype, and clinical risk category. Among children with VTE, 42 (75%) had non-O and 14 (25%) had O blood group, compared with 302 (57.7%) non-O and 221 (42.3%) O blood groups in the cohort. Non-O blood group was confirmed as an independent risk factor for VTE in multivariate analysis. This is the first study to report a significant association between non-O blood groups and VTE in children with cancer.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".