Immunogenicity and safety of the domestic and imported live-attenuated varicella vaccine in healthy Chinese populations: a systematic review and meta-analysis
Bibliographic record
Abstract
OBJECTIVES: This study aimed to synthesize existing evidence to compare the immunogenicity and safety of domestic and imported live-attenuated varicella vaccine (VarV) in healthy Chinese populations. METHODS: We searched PubMed, Web of Science, Embase, China National Knowledge Internet (CNKI), Wan Fang Database, and Chinese Biomedical Literature Service System (SinoMed) using predefined search terms to identify relevant studies. Retrieve all language articles up to March 15, 2024. Articles reported varicella vaccination in healthy Chinese populations were included. We calculated the pooled rates of seroconversions and adverse events using the random effects model and assessed the quality of each study using the modified Jadad Scale and Newcastle Ottawa Scale (NOS). Publication bias was evaluated using Egger's regression test. RESULTS: In our immunogenicity analysis, which included 16,655 Chinese individuals from 21 studies, the pooled seroconversion rate was 89% (95%CI: 86-91%) for domestic VarV and 93% (95%CI: 88-98%) for imported Varv, with no statistically significant difference. In our safety analysis, which included 29,696 Chinese individuals from 25 studies, the pooled rate of systemic reactions was higher for domestic Varv (11%, 95%CI: 10-13%) than for imported Varv (8%, 95%CI: 6-10%; P < 0.001), while the results for local reactions were the opposite (domestic Varv: 3%, 95%CI: 2-3%; imported Varv: 7%, 95%CI: 3-10%; P = 0.020). The results are based on pooled proportions rather than direct comparison. Egger's test suggested that publication bias was not negligible. CONCLUSIONS: Both domestic and imported varicella vaccines appear to be generally immunogenic and safe in healthy Chinese populations. However, due to limited and heterogeneous data on imported vaccines, further high-quality studies are needed to validate these comparative findings.
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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 | 0.017 | 0.038 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.018 | 0.030 |
| Bibliometrics | 0.008 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".