Evidence map›Paper›PMID 38000964›Full record

ArticleVaccine2023

Impact of accounting for correlation between COVID-19 and influenza vaccination in a COVID-19 vaccine effectiveness evaluation using a test-negative design.

Amanda B Payne, Allison Avrich Ciesla, Elizabeth A K Rowley, Zachary A Weber, Sarah E Reese, Toan C Ong, Gabriela Vazquez-Benitez, Allison L Naleway, Nicola P Klein, Peter J Embi and 6 more

Open access · greenAbstract read
In one paragraph

Article in Vaccine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

6 citing papers in PubMed, 9 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

16 authors at 10 institutions in 1 country.

Amanda B PayneNational Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA. Electronic address: ABPayne@cdc.gov.
Allison Avrich CieslaNational Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA; Eagle Health Analytics, San Antonio, TX, USA.
Elizabeth A K RowleyWestat, Rockville, MD, USA.
Zachary A WeberWestat, Rockville, MD, USA.
Sarah E ReeseWestat, Rockville, MD, USA.
Toan C OngSchool of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Gabriela Vazquez-BenitezHealthPartners Institute, Minneapolis, MN, USA.
Allison L NalewayCenter for Health Research, Kaiser Permanente Northwest, Portland, OR, USA.
Nicola P KleinKaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California Division of Research, Oakland, CA, USA.
Peter J EmbiVanderbilt University Medical Center, Nashville, TN, USA.
Shaun J GrannisCenter for Biomedical Informatics, Regenstrief Institute, Indianapolis, IN, USA; Indiana University School of Medicine, Indianapolis, IN, USA.
Anupam B KharbandaChildren's Minnesota, Minneapolis, MN, USA.
Manjusha GaglaniSection of Pediatric Infectious Diseases, Center for Research in Vaccines and Infections, Baylor Scott & White Health and Baylor College of Medicine, Temple, TX, USA; Texas A&M University College of Medicine, Temple, TX, USA.
Mark W TenfordeNational Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Ruth Link-GellesNational Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA; United States Public Health Service Commissioned Corps, Rockville, MD, USA.
VISION Network
Centers for Disease Control and Prevention · USWestat (United States) · USBaylor College of Medicine · USHealthPartners · USKaiser Permanente · USKaiser Permanente Center for Health Research · USMinnesota West Community & Technical College · USRegenstrief Institute · USUniversity of Colorado Anschutz Medical Campus · USVanderbilt University Medical Center · US

Funding

CDC HHS 75D30120C07765CDC HHS 75D30120C07986Intramural CDC HHS CC999999
6 · The paper itself

Abstract

Test-negative-design COVID-19 vaccine effectiveness (VE) studies use symptomatic SARS-CoV-2-positive individuals as cases and symptomatic SARS-CoV-2-negative individuals as controls to evaluate COVID-19 VE. To evaluate the potential bias introduced by the correlation of COVID-19 and influenza vaccination behaviors, we assessed changes in estimates of VE of bivalent vaccines against COVID-19-associated hospitalizations and emergency department/urgent care (ED/UC) encounters when considering influenza vaccination status or including or excluding influenza-positive controls using data from the multi-state VISION vaccine effectiveness network. Analyses included encounters during October 2022 - February 2023, a period of SARS-CoV-2 and influenza cocirculation. When considering influenza vaccination status or including or excluding influenza-positive controls, COVID-19 VE estimates were robust, with most VE estimates against COVID-19-associated hospitalization and ED/UC encounters changing less than 5 percentage points. Higher proportions of influenza-positive patients among controls, influenza vaccination coverage, or VE could impact these findings; the potential bias should continue to be assessed.

Indexed as

COVID-19Influenza, HumanInfluenza VaccinesCOVID-19 VaccinesHumansSARS-CoV-2VaccinationVaccine EfficacyCOVID-19 VaccinesInfluenza VaccinesCOVID-19InfluenzaNegativeSARS-CoV-2TestVaccine effectiveness

Identifiers

PMID38000964
PMCPMC11823735
OpenAlexW4388947547

What OpenQuestion holds

Textmetadata
LicenceTDM
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.