Evidence map›Paper›PMID 39771969›Full record

ArticleVaccines2024

The Impact of Obesity on Influenza Vaccine Immunogenicity and Antibody Transfer to the Infant During Pregnancy.

Michelle Clarke, Suja M Mathew, Lynne C Giles, Ian G Barr, Peter C Richmond, Helen S Marshall

Abstract read
In one paragraph

Article in Vaccines, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Review
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

6 authors.

Michelle ClarkeWomen's and Children's Health Network, North Adelaide, SA 5006, Australia.ORCID 0000-0001-9635-8784
Suja M MathewWomen's and Children's Health Network, North Adelaide, SA 5006, Australia.
Lynne C GilesSchool of Public Health, The University of Adelaide, Adelaide, SA 5005, Australia.ORCID 0000-0001-9054-9088
Ian G BarrWHO Collaborating Centre for Reference and Research on Influenza, The Peter Doherty Institute, Melbourne, VIC 3000, Australia.ORCID 0000-0002-7351-418X
Peter C RichmondDiscipline of Pediatrics, University of Western Australia, Perth, WA 6009, Australia.
Helen S MarshallWomen's and Children's Health Network, North Adelaide, SA 5006, Australia.

Funding

Sanofi FLU00063
6 · The paper itself

Abstract

BACKGROUND/

objectivesInfluenza vaccination is recommended for pregnant women, offering the dual benefit of protecting pregnant women and their newborn infants against influenza. This study aimed to investigate the impact of body mass index (BMI) on influenza vaccine responses in pregnant women and their newborns.

methodsParticipants included pregnant women attending the Women's and Children's Hospital in South Australia between 2018 and 2021. Maternal blood samples were collected prior to and at 1 and 6 months post-influenza vaccination to measure antibody responses by hemagglutination inhibition (HI) assay. Cord blood samples were also collected. The percentages of participants achieving HI titre ≥40 were compared between obese and non-obese groups.

resultsA total of 73 women were enrolled and received quadrivalent influenza vaccination at a mean age of 32 years (range 21-44 y) and median gestation of 24 weeks (range 11-37 weeks). BMI at vaccination was ≥30 kg/m

conclusionsA high BMI did not impair influenza vaccine antibody responses in pregnant women at 1 month post-vaccination. However, at 6 months post-vaccination, and in the cord blood samples, the percentages maintaining HI titre ≥ 40 were lower for obese women than for non-obese pregnant women.

Indexed as

influenzaobesitypregnancyvaccine

Identifiers

PMID39771969
PMCPMC11680122

What OpenQuestion holds

Textmetadata
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.