The Long-term Outcomes of Pediatric Pleural Empyema
Bibliographic record
Abstract
OBJECTIVE: To describe the long-term outcomes of pediatric pleural empyema. DESIGN: Prospective observational study from October 2008 to October 2011. SETTING: Tertiary care children's hospital. PARTICIPANTS: Children with pleural empyema (loculations and/or septations identified on radiologic imaging or frank pus on thoracentesis). MAIN OUTCOME MEASURES: Children were seen 1, 6, and 12 months postdischarge. Outcome measures included symptoms and signs of respiratory disease, child and parental impact, radiographic resolution, spirometry, and health-related quality of life (Pediatric Quality of Life Inventory score). Analysis was based on the last observation carried forward for missing data. RESULTS: Eighty-two of 88 patients (93%) eligible were recruited. Fifty-four percent were male and mean (SD) age was 4.5 (3.4) years. Outcome data was obtained in 100% at 1 month, 90% at 6 months, and 72% at 1 year. Seventy-one percent had effusions occupying a quarter or more of the hemithorax and 62% of effusions were drained. Fever, cough, parental work loss, child school loss, radiographic abnormalities, and abnormal spirometry results were common in the first month and then declined. By the last observation, 2% of patients had abnormal radiographs (aside from pleural thickening), 6% had mild obstruction on spirometry, and Pediatric Quality of Life Inventory scores were better than for children with asthma (P < .001). Patients with abnormal outcomes in 1 measure had normal outcomes in all other clinical measures. CONCLUSIONS: Clinically important phenomena persist in the short-term, but virtually all children with pleural empyema have no long-term sequelae.
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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 | 0.001 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".