PREVAPIX-ALL: Apixaban Compared to Standard of Care for Prevention of Venous Thrombosis in Paediatric Acute Lymphoblastic Leukaemia (ALL)—Rationale and Design
Bibliographic record
Abstract
Venous thromboembolic (VTE) complications in children and adolescents with acute lymphoblastic leukaemia (ALL) and T or B cell lymphoblastic lymphoma (T/B cell LL) can result not only in life-threatening acute complications but also contribute to significant long-term sequelae. The PREVAPIX-ALL study is an open-label randomized controlled study comparing outcomes of treatment with prophylactic dose apixaban versus no anticoagulation (standard of care) in children and adolescents with ALL and T/B cell LL receiving standard induction chemotherapy with asparaginase and the presence of a central venous access device. On day 29 of induction, all patients undergo screening imaging with duplex ultrasonography and echocardiography. The primary efficacy endpoint of the study is a composite of symptomatic and asymptomatic VTE that includes deep vein thrombosis, pulmonary embolism, cerebral sinovenous thrombosis or VTE-related death. The primary safety outcome is major bleeding. Secondary outcomes are central line-associated infections, patency and line replacement, superficial thrombosis, arterial events and death. A planned sample size of 500 randomized paediatric patients enrolled over a period of 5 years is based on the estimation of VTE rates of 20 and 10% in the standard of care and apixaban groups, respectively. An optional biomarker study in 150 patients will examine predictors of increased VTE risk and study in vivo anticoagulant effects of apixaban in children by measuring specific biomarkers in the haemostatic system and inflammatory pathway. This study will provide valuable information for the safety and efficacy of apixaban in VTE prevention during induction in paediatric ALL.
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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 | 0.010 | 0.009 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.004 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".