Bibliographic record
Abstract
Venous thromboembolism (VTE) in pediatrics is quickly becoming a well-recognized cause of significant morbidity and mortality in children. Most children diagnosed with VTE have a serious underlying primary illness such as cancer, chronic total parenteral nutrition (TPN) dependency, or congenital heart disease. Infants and adolescents are most at risk of developing VTE, and the most significant risk factor is the presence of a central venous line (CVL). The incidence of VTE varies widely with study design and the diagnostic test used to detect thrombosis. Venography remains the gold standard diagnostic test, although ultrasound is increasingly used due to its noninvasive nature, despite concern regarding the sensitivity in upper system VTE. The treatment of uncomplicated VTE in children consists primarily of unfractionated heparin (UFH) initially, followed by oral anticoagulation or low molecular weight heparin (LMWH) for 3 months. LMWH offers many advantages over UFH due to the longer half-life, increased bioavailability, and ease of administration and monitoring in children. Acute complications of VTE in children are numerous and include pulmonary embolism (PE), chylothorax, and superior vena cava syndrome. Long-term morbidity includes recurrent VTE, postthrombotic syndrome, repeat general anesthetics for CVL placement, and eventual destruction of the upper venous system in children with repeat CVL-related VTE. Death from VTE is rare and is primarily due to PE.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.003 |
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".