Effectiveness and Safety of Tissue Plasminogen Activator in the Management of Complicated Parapneumonic Effusions
Bibliographic record
Abstract
OBJECTIVE: The management of parapneumonic effusions in children is controversial. The objective of this study was to evaluate the effectiveness and safety of intrapleural tissue plasminogen activator (tPA) in children who require tube thoracostomy for drainage of a complicated parapneumonic effusion. METHODS: An observational cohort study was used to compare children who were treated with intrapleural tPA (either early or late administration) with children who were treated with thoracostomy tube drainage alone. RESULTS: Over a 6-year period, 12 children received early tPA (within 24 hours of diagnosis), 18 children received late tPA (>24 hours after diagnosis), and 23 children received thoracostomy tube drainage alone for the management of a complicated parapneumonic effusion. Total pleural fluid drainage was highest for the late tPA group (691 mL vs 360 mL in the control group); however, the rate of pleural fluid drainage was highest for the early tPA group (7 mL/h vs 3 mL/h in the control group). The duration of chest tube placement was 84 hours for the early tPA group, 209 hours for the late tPA group, and 130 hours for the control group. There was a significant difference in duration of chest tube placement between the early and late tPA groups. No child who was treated with tPA developed local or systemic bleeding. CONCLUSIONS: Early administration of intrapleural tPA seems to be a safe and potentially effective treatment in children with complicated parapneumonic effusions. Randomized controlled trial evidence is needed to confirm this finding.
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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 | 0.002 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".