Anticoagulation prophylaxis reduces venous thromboembolism rate in adult acute lymphoblastic leukaemia treated with asparaginase‐based therapy
Bibliographic record
Abstract
Venous thromboembolism (VTE) is a well-known complication in adults receiving asparaginase (ASNase)-based intensification chemotherapy for acute lymphoblastic leukaemia (ALL). The optimal preventative strategy is unclear. Our objective is to determine the effects of low-molecular-weight heparin (LMWH) as primary VTE prophylaxis. A single-centred retrospective cohort study of adult patients with Philadelphia chromosome negative (Ph-) ALL who received ASNase-based intensification from 2001 to 2017, with prophylaxis given from 2011 to 2017. In all, 214 patients were included in this study with 99 in the historical control group and 125 in the prophylaxis group. The mean (range) enoxaparin dose was 0·79 (0·39-1·2) mg/kg. Of the 125 patients in the prophylaxis group 17 (13·6%) developed VTE during the intensification phase, while 27/99 patients (27·3%) in the control cohort experienced at least one thrombotic event (odds ratio [OR] 0·42, 95% confidence interval [CI] 0·21-0·83). Overall, the main sites of VTE incidences included deep vein thrombosis in the lower extremity (54·6%), pulmonary embolism (13·6%) and catheter-related thrombosis (22·7%). In addition, we found that after adjusting for age, T-phenotype ALL was associated with VTE development (OR 3·07, 95% CI 1·04-9·08). There was no documented major bleeding in the prophylaxis group. LMWH prophylaxis reduced the incidence of symptomatic VTE in adult patients with ALL receiving intensification chemotherapy with ASNase.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.001 | 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".