Evidence map›Paper›PMID 35384900›Full record

ArticleEpidemiology (Cambridge, Mass.)2022

Use of Recently Vaccinated Individuals to Detect Bias in Test-Negative Case-Control Studies of COVID-19 Vaccine Effectiveness.

Matt D T Hitchings, Joseph A Lewnard, Natalie E Dean, Albert I Ko, Otavio T Ranzani, Jason R Andrews, Derek A T Cummings

Open access · greenAbstract read
In one paragraph

Article in Epidemiology (Cambridge, Mass.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.5field-weighted citation impact, top 9% 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

17 citing papers in PubMed, 30 citations in OpenAlex.

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  11. Effectiveness of Coronavirus Disease 2019 (COVID-19) Vaccines Among Incarcerated People in California State Prisons: Retrospective Cohort Study.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2022
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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

7 authors at 5 institutions in 3 countries.

Matt D T HitchingsFrom the Department of Biology, University of Florida, Gainesville, FL.
Joseph A LewnardDivision of Epidemiology, School of Public Health, University of California, Berkeley, Berkeley, CA.
Natalie E DeanEmerging Pathogens Institute, University of Florida, Gainesville, FL.
Albert I KoDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT.
Otavio T RanzaniBarcelona Institute for Global Health, ISGlobal, Barcelona, Spain.
Jason R AndrewsDivision of Infectious Diseases and Geographic Medicine, Stanford University, Stanford, CA.
Derek A T CummingsFrom the Department of Biology, University of Florida, Gainesville, FL.
University of Florida · USFundação Oswaldo Cruz · BRHospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo · BRStanford University · USUniversity of California, Berkeley · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Design and Analysis of Vaccine Trials for Emerging Infectious Disease ThreatsR01AI139761 · NIAID · UNIVERSITY OF FLORIDA · PI DEAN, NATALIE EXNER · 2018 to 2022
$3.6M
Emerging methods and applications for test-negative studies of of infectious disease interventionsR01AI148127 · NIAID · UNIVERSITY OF CALIFORNIA BERKELEY · PI JEWELL, NICHOLAS P · 2020 to 2023
$1.8M
NCATS NIH HHS UL1 TR001863NIAID NIH HHS R01 AI139761NIAID NIH HHS R01 AI148127
6 · The paper itself

Abstract

Postauthorization observational studies play a key role in understanding COVID-19 vaccine effectiveness following the demonstration of efficacy in clinical trials. Although bias due to confounding, selection bias, and misclassification can be mitigated through careful study design, unmeasured confounding is likely to remain in these observational studies. Phase III trials of COVID-19 vaccines have shown that protection from vaccination does not occur immediately, meaning that COVID-19 risk should be similar in recently vaccinated and unvaccinated individuals, in the absence of confounding or other bias. Several studies have used the estimated effectiveness among recently vaccinated individuals as a negative control exposure to detect bias in vaccine effectiveness estimates. In this paper, we introduce a theoretical framework to describe the interpretation of such a bias indicator in test-negative studies, and outline strong assumptions that would allow vaccine effectiveness among recently vaccinated individuals to serve as a negative control exposure.

Indexed as

COVID-19COVID-19 VaccinesCase-Control StudiesHumansVaccinationVaccine EfficacyCOVID-19 Vaccines

Identifiers

PMID35384900
PMCPMC9148635
OpenAlexW4225336164

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.