Evidence map›Paper›PMID 36993779›Full record

ArticleSAGE open medicine2023

Strategy to increase vaccination coverage in diabetic patients at a public tertiary university hospital: A randomized controlled trial.

Giulia Limana Guerra, Fabio Lopes Pedro, Mateus Dornelles Severo, Giorgia Limana Guerra, Tiango Aguiar Ribeiro

Open access · goldAbstract read
In one paragraph

Article in SAGE open medicine, 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
2.8field-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

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

5 authors at 2 institutions in 1 country.

Giulia Limana GuerraPostgraduate Program of Health Science, Federal University of Santa Maria (UFSM), Santa Maria, Rio Grande do Sul, Brazil.
Fabio Lopes PedroDepartment of Clinic Medicine, Medicine School of Federal University of Santa Maria (UFSM), Santa Maria, Rio Grande do Sul, Brazil.
Mateus Dornelles SeveroEndocrinology Department, University Hospital of Santa Maria (HUSM), Federal University of Santa Maria (UFSM), Santa Maria, Rio Grande do Sul, Brazil.
Giorgia Limana GuerraMedicine School of Universidade Franciscana (UFN), Santa Maria, Rio Grande do Sul, Brazil.
Tiango Aguiar RibeiroPostgraduate Program of Health Science, Federal University of Santa Maria (UFSM), Santa Maria, Rio Grande do Sul, Brazil.ORCID https://orcid.org/0000-0002-1401-6340
Universidade Franciscana · BRUniversidade Federal de Santa Maria · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To evaluate whether there is an increase in vaccination rates of patients with diabetes mellitus who received guidance to update their vaccination schedules for influenza, hepatitis B, pneumonia, and tetanus. Methodology: A randomized controlled trial was conducted between December 2018 and November 2020. The sample consisted of 139 patients from the endocrinology service outpatient clinic of Santa Maria University Hospital was randomized into an intervention group ( Results: The mean age of the subjects was 59.17 ± 12.91 years and 62.6% were female. No age differences were observed between genders and randomization groups ( Conclusion: The orientation to update the vaccination schedule through telephone contact was effective in increasing vaccination rates for influenza, hepatitis B, pneumonia, and tetanus. Trial registry: RBR-92z99d2 https://ensaiosclinicos.gov.br/rg/RBR-92z99d2.

Indexed as

Diabetes mellitushepatitis Binfluenzapneumoniarandomized controlled trialtetanusvaccine

Identifiers

PMID36993779
PMCPMC10041585
OpenAlexW4360918281

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.