Evidence map›Paper›PMID 37024804›Full record

ArticleBMC infectious diseases2023

Factors affecting the immunogenicity of influenza vaccines in human.

Qiuyi Xu, Hejiang Wei, Simin Wen, Jiamin Chen, Yuxuan Lei, Yanhui Cheng, Weijuan Huang, Dayan Wang, Yuelong Shu

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.1field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 10 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 1 country.

Qiuyi Xu *School of Public Health (Shenzhen), Sun Yat-sen University-Shenzhen Campus, Shenzhen, Guangdong, China.
Hejiang Wei *National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Simin WenClinical Research Center, Guangzhou First People's Hospital, the Second Affiliated Hospital of South China, University of Technology, Guangzhou, Guangdong, China.
Jiamin ChenSchool of Public Health (Shenzhen), Sun Yat-sen University-Shenzhen Campus, Shenzhen, Guangdong, China.
Yuxuan LeiSchool of Public Health (Shenzhen), Sun Yat-sen University-Shenzhen Campus, Shenzhen, Guangdong, China.
Yanhui ChengNational Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Weijuan HuangNational Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Dayan Wang *National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China. dayanwang@cnic.org.cn.
Yuelong Shu *School of Public Health (Shenzhen), Sun Yat-sen University-Shenzhen Campus, Shenzhen, Guangdong, China. shuylong@mail.sysu.edu.cn.
National Institute for Viral Disease Control and Prevention · CNSun Yat-sen University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNGuangzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe influenza viruses pose a threat to human health and medical services, and vaccination is an important way to prevent infection. However, the effectiveness of influenza vaccines is affected by various aspects. This study aimed to explore factors related to the immune response to influenza vaccines.

methodsThe study was conducted from September 2019 to September 2021, and a total of 593 volunteers were recruited from the Center for Disease Control and Prevention in 3 provinces in China. The hemagglutination inhibition assay was used to measure antibody levels. The Chi-square test, multivariable logistic regression analysis, and sum-rank test were used to analyze the factors associated with influenza vaccine immune response.

resultsThe Chi-square test showed that seroconversion rates and response rate were associated with age group, vaccination history, chronic conditions, the frequency of colds, and region (P < 0.05). The multivariable logistic regression analysis showed that age was an important factor that affected participants' seroconversion rates for A/H1N1, A/H3N2, B/Victoria, and response status (18-64 vs. ≤5: OR = 2.77, P < 0.001; ≥65 vs. ≤5: OR = 0.38, P = 0.01; 18-64 vs. ≤5: OR = 2.64, P = 0.03). Vaccination history was also an affecting factor for A/H1N1, B/Victoria, and response status (yes vs. no: OR = 0.4 / 0.44 / 0.25, P < 0.001). The frequency of colds and chronic conditions were also affecting factors for participants' seroconversion rates and response levels to different degrees. The sum-rank test showed that the fold changes for A/H1N1, B/Victoria, and B/Yamagata were associated with age group and vaccination history (P < 0.01). The fold changes for A/H3N2 were associated with the frequency of colds (P < 0.05), and those for B/Victoria were associated with gender and chronic conditions (P < 0.05).

conclusionsVaccination history, age, health condition, and frequency of colds were important factors affecting the seroconversion rate of the influenza vaccine in human. There is a need for developing optimized vaccination strategies for vulnerable groups to improve the efficacy of influenza vaccines in human.

Indexed as

Common ColdInfluenza A Virus, H1N1 SubtypeInfluenza, HumanInfluenza VaccinesAntibodies, ViralHemagglutination Inhibition TestsHumansImmunogenicity, VaccineInfluenza A Virus, H3N2 SubtypeInfluenza B virusVaccines, InactivatedAntibodies, ViralInfluenza VaccinesVaccines, InactivatedImmune responseImmunogenicityInfluenzaInfluenza vaccineVaccine effectiveness

Identifiers

PMID37024804
PMCPMC10078025
OpenAlexW4362665560

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.