Efficacy and safety of thrombolysis for pediatric venous thromboembolism: a systematic review and meta-analysis
Bibliographic record
Abstract
ABSTRACT: We conducted this systematic review to evaluate outcomes of thrombolysis followed by anticoagulation vs anticoagulation alone in pediatric patients with venous thromboembolism (VTE). This systematic review addresses mortality, VTE resolution, recurrence, bleeding, and organ-specific outcomes in 5 PICO (population, intervention, comparison, outcomes) questions on thrombolysis across pulmonary embolism (PE), extremity deep vein thrombosis (DVT), right atrial thrombosis (RAT), cerebral sinus venous thrombosis (CSVT), and renal vein thrombosis (RVT). Meta-analysis reported risk ratios or differences (95% confidence intervals [CIs]), and absolute effects per 1000 patients. Certainty of evidence was assessed using GRADE (Grading of recommendation, assessment, Development, and Evaluation) guidelines. Thirteen nonrandomized studies were included and no randomized clinical trials addressed these questions. Thrombolysis might be associated with a higher risk of major bleeding, clinically relevant nonmajor bleeding, or unspecified bleeding with risk differences of 0.09 (95% CI, -0.06 to 0.23), 0.06 (95% CI, -0.11 to 0.22), and 0.09 (95% CI, -0.04 to 0.23), respectively. In PE with hemodynamic compromise, thrombolysis might be associated with a lower risk of mortality but conclusions on PE progression were uncertain in submassive PE. In DVT, thrombolysis may have little to no effect on mortality or thrombus resolution but might be associated with lower risk of postthrombotic syndrome. In RAT, thrombolysis might have little to no effect on thrombus resolution but a higher risk of major bleeding and mortality. For CSVT and RVT, the evidence was very limited. These findings were based on very-low-certainty evidence because of confounding and imprecision from small sample sizes. This systematic review highlights key challenges in developing recommendations for thrombolysis in children with VTE.
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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 | 0.026 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.015 | 0.029 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".