CARESS: THE CANADIAN REGISTRY OF SYNAGIS
Bibliographic record
Abstract
Objective To determine current usage of palivizumab prophylaxis, compliance patterns, hospitalization rate (HR) and outcomes in children at high-risk of respiratory syncytial virus (RSV) infection through a Canadian Registry Database (CARESS). Methods A prospective, observational, study of Canadian infants who received palivizumab in the 2006/2007 RSV season. Neonatal and demographic data were collected upon enrolment. Parents/caregivers were contacted monthly for data on palivizumab utilization, compliance and outcomes related to any respiratory tract events. Results 1224 infants, aged 2 days–34 months (mean = 5.17 months) who received at least one injection of palivizumab were recruited from 16 regional sites across Canada. Participants were typically male (57.4%) and Caucasian (72.2%). Gestational age was 31.5±4.3 weeks. 914 infants (74.7%) received palivizumab primarily for prematurity (⩽35 completed weeks gestational age). 119 (9.7%) had bronchopulmonary dysplasia (BPD) and required supportive oxygen therapy.119 (9.7%) had congenital heart disease and 72 (5.9%) were prophylaxed for other risk factors. 76.9% of subjects received at least 4 injections of palivizumab. The majority of injections were administered within recommended monthly time intervals (73.5%). There was a 5.1% HR for respiratory tract events (e.g., bronchiolitis or pneumonia). The RSV positive HR was 1.4% (proven RSV). Hospitalization rates for respiratory tract events were highest in those with BPD (12.8%, p Conclusions Compliance with the course of palivizumab was very good. The RSV hospitalization rate observed in the 2006/2007 CARESS season was lower than that previously documented in the scientific literature.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.009 | 0.015 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 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".