Evidence map›Paper›PMID 38451575›Full record

ArticleRevista da Associacao Medica Brasileira (1992)2024

Prevalence of immunization against influenza in elderly Brazilians: National Health Survey, 2019.

Claudio José Dos Santos Júnior, Luiz Marques Campelo, Elaine Cristina Torres Oliveira

Open access · diamondAbstract read
In one paragraph

Article in Revista da Associacao Medica Brasileira (1992), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

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

3 authors at 2 institutions in 1 country.

Claudio José Dos Santos JúniorUniversidade Federal da Bahia, Institute of Public Health - Salvador (BA), Brazil.ORCID http://orcid.org/0000-0002-2853-1968
Luiz Marques CampeloUniversidade Federal da Bahia, Institute of Public Health - Salvador (BA), Brazil.ORCID http://orcid.org/0000-0003-0439-2403
Elaine Cristina Torres OliveiraUniversidade de São Paulo, Faculty of Public Health - São Paulo (SP), Brazil.ORCID http://orcid.org/0000-0002-1324-7163
Universidade Federal da Bahia · BRUniversidade Estadual de Ciências da Saúde de Alagoas · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim of this study was to estimate the prevalence of influenza immunization in elderly people in Brazil in 2019.

methodsThis is a population-based cross-sectional study. The Brazilian individuals (≥60 years) who participated in the 2019 National Health Survey were included. The survey was conducted in permanent households in Brazil from August 2019 to March 2020. The prevalences of influenza vaccination and their respective confidence intervals (95%CI) were estimated according to sociodemographic characteristics and the diagnosis of chronic diseases.

resultsThe prevalence of influenza vaccination was 72.4% (95%CI 71.5-73.2), with statistically significant differences observed between genders (p=0.001), age groups (p=0.001), and those living with a spouse/partner (p=0.002). Significant differences were found in groups with arterial hypertension (75.2%, p<0.001), diabetes (77.2%, p<0.001), and arthritis or rheumatism (75.5%, p<0.001).

conclusionA global prevalence of influenza vaccination of 72.4% was estimated among elderly people in Brazil.

Indexed as

Influenza, HumanSouth American PeopleAgedBrazilCross-Sectional StudiesFemaleHealth SurveysHumansImmunizationMaleMiddle AgedPrevalenceVaccination

Identifiers

PMID38451575
PMCPMC10913784
OpenAlexW4392431340

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.