Clinical features and outcome of pulmonary embolism in children
Bibliographic record
Abstract
Pulmonary embolism (PE) is rare in childhood but evidence suggests it is under-recognised. Children diagnosed with PE at a large tertiary centre over an 8-year period were retrospectively reviewed. Fifty-six children with radiologically proven PE were identified, 31 males and 25 females, median age 12 years. Eighty-four per cent had symptoms of PE. Risk factors for thromboembolism were present in 54 patients (96.4%); most commonly immobility (58.9%), central venous line (35.7%) and recent surgery (28.6%). Investigation revealed a thrombophilic abnormality in 14/40 patients (35%). Concurrent deep vein thrombosis was confirmed in 31 patients (55.4%), predominantly lower limb. D dimer was elevated at presentation in 26/30 patients (86.7%). Eight patients underwent systemic thrombolysis. An inferior vena cava filter was placed in five patients. Therapy was complicated by major haemorrhage in 12 patients (21.4%). The majority (82.1%) had complete or partial resolution of PE following a median of 3 months anticoagulation. Seven patients had a recurrent thromboembolic event and 12 patients died (mortality 21.4%); five due to thromboembolism (8.9%) and two due to haemorrhage. Risk factors for PE in children are distinct from adults and morbidity and mortality is significant. Multicentre prospective studies are required to determine optimal treatment and long-term outcome of childhood PE.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".