Safety and tolerability of cell culture-derived and egg-derived trivalent influenza vaccines in 3 to <18-year-old children and adolescents at risk of influenza-related complications
Bibliographic record
Abstract
BACKGROUND: This descriptive, non-comparative, phase III study evaluated the safety and tolerability of cell culture-derived (TIVc) and egg-derived (TIV) seasonal influenza vaccines in children at risk of influenza-related complications. METHODS: Four hundred and thirty subjects were randomized 2:1 to TIVc or TIV. Subjects aged 3 to <9 years received one dose (if previously vaccinated, n=89) or two doses (if not previously vaccinated, n=124) of the study vaccines; the 9 to <18-year-olds (n=213) received one dose. Reactogenicity was assessed for 7 days after vaccination; safety was monitored for 6 months. RESULTS: After any vaccination, the most frequently reported solicited local adverse event (AE) was tenderness/pain (TIVc 44%, 66%, 53% and TIV 56%, 51%, 65% in the age groups 3 to <6 years, 6 to <9 years, and 9 to <18 years, respectively) and the systemic AE was irritability (22% TIVc, 24% TIV) in 3 to <6-year-olds and headache in 6 to <9-year-olds (20% TIVc, 13% TIV) and 9 to <18-year-olds (21% TIVc, 26% TIV). There were no cases of severe fever (≥40°C). No vaccine-related serious AEs were noted. New onset of chronic disease was reported in ≤1% of subjects. CONCLUSION: TIVc and TIV had acceptable tolerability and similar safety profiles in at-risk children (NCT01998477).
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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 | 0.001 |
| 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 | 0.000 | 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".