Evidence map›Paper›PMID 35697361›Full record

ArticleBMJ (Clinical research ed.)2022

Change in covid-19 risk over time following vaccination with CoronaVac: test negative case-control study.

Matt D T Hitchings, Otavio T Ranzani, Margaret L Lind, Murilo Dorion, Tatiana Lang D'Agostini, Regiane Cardoso de Paula, Olivia Ferreira Pereira de Paula, Edlaine Faria de Moura Villela, Mario Sergio Scaramuzzini Torres, Silvano Barbosa de Oliveira and 12 more

Open access · hybridAbstract read
In one paragraph

Article in BMJ (Clinical research ed.), 2022. 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
1.2field-weighted citation impact, top 20% 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, 12 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

22 authors at 10 institutions in 3 countries.

Matt D T HitchingsDepartment of Biostatistics, College of Public Health and Health Professions, University of Florida, Gainesville, FL, USA.
Otavio T RanzaniBarcelona Institute for Global Health, ISGlobal, Barcelona, Spain.
Margaret L LindDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
Murilo DorionDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
Tatiana Lang D'AgostiniDisease Control Coordination of the São Paulo State Department of Health, São Paulo, Brazil.
Regiane Cardoso de PaulaDisease Control Coordination of the São Paulo State Department of Health, São Paulo, Brazil.
Olivia Ferreira Pereira de PaulaDisease Control Coordination of the São Paulo State Department of Health, São Paulo, Brazil.
Edlaine Faria de Moura VillelaDisease Control Coordination of the São Paulo State Department of Health, São Paulo, Brazil.
Mario Sergio Scaramuzzini TorresMunicipal Health Secretary of Manaus, Brazil, AM, Brazil.
Silvano Barbosa de OliveiraPan American Health Organization, Brasília, DF, Brazil.
Wade SchulzDepartment of Laboratory Medicine, Yale University School of Medicine, New Haven, CT, USA.
Maria AlmironPan American Health Organization, Brasília, DF, Brazil.
Rodrigo SaidPan American Health Organization, Brasília, DF, Brazil.
Roberto Dias de OliveiraState University of Mato Grosso do Sul - UEMS, Dourados, MS, Brazil.
Patricia Vieira da SilvaUniversidade Federal de Mato Grosso do Sul - UFMS, Campo Grande, MS, Brazil.
Wildo Navegantes de AraújoPan American Health Organization, Brasília, DF, Brazil.
Jean Carlo GorinchteynHealth Secretariat of the State of São Paulo, São Paulo, Brazil.
Natalie E DeanDepartment of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
Jason R AndrewsDivision of Infectious Diseases and Geographic Medicine, Stanford University, Stanford, CA, USA.
Derek A T CummingsDepartment of Biology, University of Florida, Gainesville, FL, USA.
Albert I KoDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
Julio CrodaDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.ORCID 0000-0002-6665-6825
Yale University · USPan American Health Organization (Brasil) · BRUniversidade de Brasília · BRUniversidade Federal de Mato Grosso do Sul · BRUniversity of Florida · USEmory University · USHospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo · BRMinistério da Saúde · BRStanford University · USUniversidade Estadual de Mato Grosso do Sul · BR

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
NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

objectiveTo estimate the change in odds of covid-19 over time following primary series completion of the inactivated whole virus vaccine CoronaVac (Sinovac Biotech) in São Paulo State, Brazil.

designTest negative case-control study.

settingCommunity testing for covid-19 in São Paulo State, Brazil.

participantsAdults aged ≥18 years who were residents of São Paulo state, had received two doses of CoronaVac, did not have a laboratory confirmed SARS-CoV-2 infection before vaccination, and underwent reverse transcription polymerase chain reaction (RT-PCR) testing for SARS-CoV-2 from 17 January to 14 December 2021. Cases were matched to test negative controls by age (in 5 year bands), municipality of residence, healthcare worker status, and epidemiological week of RT-PCR test.

main outcome measuresRT-PCR confirmed symptomatic covid-19 and associated hospital admissions and deaths. Conditional logistic regression was adjusted for sex, number of covid-19 associated comorbidities, race, and previous acute respiratory illness.

resultsFrom 202 741 eligible people, 52 170 cases with symptomatic covid-19 and 69 115 test negative controls with covid-19 symptoms were formed into 43 257 matched sets. Adjusted odds ratios of symptomatic covid-19 increased with time since completion of the vaccination series. The increase in odds was greater in younger people and among healthcare workers, although sensitivity analyses suggested that this was in part due to bias. In addition, the adjusted odds ratios of covid-19 related hospital admission or death significantly increased with time compared with the odds 14-41 days after series completion: from 1.25 (95% confidence interval 1.04 to 1.51) at 70-97 days up to 1.94 (1.41 to 2.67) from 182 days onwards.

conclusionsSignificant increases in the risk of moderate and severe covid-19 outcomes occurred three months after primary vaccination with CoronaVac among people aged 65 and older. These findings provide supportive evidence for the implementation of vaccine boosters in these populations who received this inactivated vaccine. Studies of waning should include analyses designed to uncover common biases.

Indexed as

COVID-19VaccinesAdolescentAdultBrazilCase-Control StudiesCOVID-19 TestingCOVID-19 VaccinesHumansSARS-CoV-2VaccinationCOVID-19 VaccinesVaccines

Identifiers

PMID35697361
PMCPMC9189440
OpenAlexW4282595455

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.