Publication
Assessing the vaccine effectiveness of seasonal influenza vaccines: a systematic review and meta-analysis of randomized controlled trials and observational studies
dc.contributor.author | Martins, André | |
dc.contributor.author | Santos, Marlene | |
dc.contributor.author | Martins, João | |
dc.date.accessioned | 2023-09-21T16:46:19Z | |
dc.date.available | 2023-09-21T16:46:19Z | |
dc.date.issued | 2023-07-11 | |
dc.description.abstract | Influenza is a respiratory disease caused by the highly transmissible influenza virus in humans. Vaccination is a crucial strategy for preventing influenza and its associated complications. This paper aims to provide a comprehensive assessment of the vaccine effectiveness (VE) of seasonal influenza vaccines (SIVs) in individuals aged 15 to 64 years through a systematic review and meta-analysis of randomized controlled trials (RCTs) and observational studies (TNDs). A systematic review with meta-analysis was performed to identify all relevant studies that examined the effectiveness of SIVs. The primary outcome measure of interest was the VE against laboratory-confirmed influenza, regardless of the viral strain. To evaluate the quality of the included studies, the researchers utilized the Cochrane risk-of-bias tool for RCTs and the ROBINS-I tool for TNDs, which assessed the methodological quality and potential biases in study design, conduct, and analysis. The search process yielded a total of 2993 records, and after a thorough evaluation, 125 studies from 73 papers met the inclusion criteria and were included in the meta-analysis. Among the included studies, 9 were RCTs, which provide a higher level of evidence, and 116 were TNDs, which offer valuable real-world data. The pooled VE estimate for RCTs was determined to be 48% with a 95% confidence interval (CI) ranging from 42% to 54%. This finding indicates that, on average, SIVs reduced the risk of laboratory-confirmed influenza by 48% among individuals aged 15 to 64 years in the RCTs. For the TNDs, the adjusted VE estimate was found to be 39.9% with a 95% CI of 31% to 48%. Adjusted VE accounts for potential confounding factors that may influence the vaccine's effectiveness, such as age, comorbidities, and other variables. Additionally, the non-adjusted VE estimate for TNDs was 41% with a 95% CI of 37% to 45%. The key factor influencing VE is the match between the influenza strains included in the vaccine and the strains currently circulating in the population. A high level of strain match enhances the effectiveness of SIVs in preventing laboratory-confirmed influenza cases. These findings highlight the importance of ongoing surveillance and timely updates of the vaccine composition to ensure optimal protection against the circulating influenza strains. | pt_PT |
dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
dc.identifier.citation | Martins, A., Santos, M., & Martins, J. (2023). Assessing the vaccine effectiveness of seasonal Influenza vaccines: A systematic review and meta-analysis of randomized controlled trials and observational studies. Proceedings of Research and Practice in Allied and Environmental Health, 1(1), 25. https://doi.org/10.26537/prpaeh.v1i1.5167 | pt_PT |
dc.identifier.doi | 10.26537/prpaeh.v1i1.5167 | pt_PT |
dc.identifier.uri | http://hdl.handle.net/10400.22/23594 | |
dc.language.iso | eng | pt_PT |
dc.relation.publisherversion | https://parc.ipp.pt/index.php/PRPAEH/article/view/5167 | pt_PT |
dc.subject | Influenza | pt_PT |
dc.subject | Observational studies | pt_PT |
dc.subject | Randomized controlled trials | pt_PT |
dc.subject | Seasonal influenza vaccines | pt_PT |
dc.subject | Vaccine effectiveness | pt_PT |
dc.title | Assessing the vaccine effectiveness of seasonal influenza vaccines: a systematic review and meta-analysis of randomized controlled trials and observational studies | pt_PT |
dc.type | conference object | |
dspace.entity.type | Publication | |
oaire.citation.startPage | 25 | pt_PT |
oaire.citation.title | Proceedings of Research and Practice in Allied and Environmental Health 2023 | pt_PT |
oaire.citation.volume | 1 (1) | pt_PT |
person.familyName | Santos | |
person.givenName | Marlene | |
person.identifier | 1508370 | |
person.identifier.ciencia-id | 8311-B967-31C4 | |
person.identifier.orcid | 0000-0001-5020-5942 | |
person.identifier.scopus-author-id | 57110502000 | |
rcaap.rights | openAccess | pt_PT |
rcaap.type | conferenceObject | pt_PT |
relation.isAuthorOfPublication | 8ce9ee39-a4c6-46ae-99e2-49397b550f1b | |
relation.isAuthorOfPublication.latestForDiscovery | 8ce9ee39-a4c6-46ae-99e2-49397b550f1b |