Evidence map›Paper›PMID 35514207›Full record

ArticleMolecular systems biology2022

Evaluation of determinants of the serological response to the quadrivalent split-inactivated influenza vaccine.

Shaohuan Wu, Ted M Ross, Michael A Carlock, Elodie Ghedin, Hyungwon Choi, Christine Vogel

Open access · goldAbstract read
In one paragraph

Article in Molecular systems biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 7% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 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

6 authors at 4 institutions in 2 countries.

Shaohuan WuCenter for Genomics and Systems Biology, New York University, NY, USA.ORCID 0000-0002-4751-7854
Ted M RossDepartment of Infectious Diseases, College of Veterinary Medicine, University of Georgia, Athens, GA, USA.
Michael A CarlockDepartment of Infectious Diseases, College of Veterinary Medicine, University of Georgia, Athens, GA, USA.
Elodie GhedinCenter for Genomics and Systems Biology, New York University, NY, USA.
Hyungwon ChoiDepartment of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore City, Singapore.ORCID 0000-0002-6687-3088
Christine VogelCenter for Genomics and Systems Biology, New York University, NY, USA.ORCID 0000-0002-2856-3118
New York Genome Center · USUniversity of Georgia · USID Genomics (United States) · USNational University of Singapore · SG

Funding

Implementing a Maternal health and PRegnancy Outcomes Vision for Everyone (IMPROVE)UL1TR002378 · NCATS · EMORY UNIVERSITY · PI Andres J Garcia, Elizabeth O. Ofili · 2017 to 2026
$92.1M
COVID Supplement - COMPONENT A OF THE COLLABORATIVE INFLUENZA VACCINE INNOVATION CENTERS (CIVICS) PROGRAM TO DESIGN AND EVALUATE INNOVATIVE INFLUENZA VACCINE APPROACHES,75N93019C00052 · NIAID · UNIVERSITY OF GEORGIA · PI ROSS, TED · 2019 to 2025
$74.6M
Genomic profiling of influenza infections to identify biomarkers of disease severityZIAAI001323 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI GHEDIN, ELODIE · 2020 to 2025
$8.0M
Next generation gene expression analysisR35GM127089 · NIGMS · NEW YORK UNIVERSITY · PI Christine Vogel · 2018 to 2026
$4.0M
NCATS NIH HHS UL1 TR002378NIAID NIH HHS 75N93019C00052NIGMS NIH HHS R35 GM127089
6 · The paper itself

Abstract

The seasonal influenza vaccine is only effective in half of the vaccinated population. To identify determinants of vaccine efficacy, we used data from > 1,300 vaccination events to predict the response to vaccination measured as seroconversion as well as hemagglutination inhibition (HAI) titer levels one year after. We evaluated the predictive capabilities of age, body mass index (BMI), sex, race, comorbidities, vaccination history, and baseline HAI titers, as well as vaccination month and vaccine dose in multiple linear regression models. The models predicted the categorical response for > 75% of the cases in all subsets with one exception. Prior vaccination, baseline titer level, and age were the major determinants of seroconversion, all of which had negative effects. Further, we identified a gender effect in older participants and an effect of vaccination month. BMI had a surprisingly small effect, likely due to its correlation with age. Comorbidities, vaccine dose, and race had negligible effects. Our models can generate a new seroconversion score that is corrected for the impact of these factors which can facilitate future biomarker identification.

Indexed as

Influenza, HumanInfluenza VaccinesAgedAntibodies, ViralHemagglutination Inhibition TestsHumansVaccinationAntibodies, ViralInfluenza Vaccineshuman cohortimmune responseinfluenzasplit-inactivated influenza vaccinestatistical modeling

Identifiers

PMID35514207
PMCPMC9073386
OpenAlexW4229062287

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.