Evidence map›Paper›PMID 37729346›Full record

ArticleRevista brasileira de epidemiologia = Brazilian journal of epidemiology2023

Registration with Primary Health Care and COVID-19 mortality: cohort of diabetics from five administrative health regions in the city of Rio de Janeiro, Brazil, 2020-2021.

Jéssica Chagas de Almeida, Natalia Santana Paiva, Gerusa Gibson, Leonardo Soares Bastos, Roberto de Andrade Medronho, Katia Vergetti Bloch

Abstract read
In one paragraph

Article in Revista brasileira de epidemiologia = Brazilian journal of epidemiology, 2023. 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
–field-weighted citation impact
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.

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

6 authors.

Jéssica Chagas de AlmeidaUniversidade Federal do Rio de Janeiro, Instituto de Estudos em Saúde Coletiva - Rio de Janeiro (RJ), Brasil.ORCID http://orcid.org/0000-0001-8008-7545
Natalia Santana PaivaUniversidade Federal do Rio de Janeiro, Instituto de Estudos em Saúde Coletiva - Rio de Janeiro (RJ), Brasil.ORCID http://orcid.org/0000-0003-0541-4686
Gerusa GibsonUniversidade Federal do Rio de Janeiro, Instituto de Estudos em Saúde Coletiva - Rio de Janeiro (RJ), Brasil.ORCID http://orcid.org/0000-0002-9499-731X
Leonardo Soares BastosFundação Oswaldo Cruz - Rio de Janeiro (RJ), Brasil.ORCID http://orcid.org/0000-0002-1406-0122
Roberto de Andrade MedronhoUniversidade Federal do Rio de Janeiro, Instituto de Estudos em Saúde Coletiva - Rio de Janeiro (RJ), Brasil.ORCID http://orcid.org/0000-0002-4617-6904
Katia Vergetti BlochUniversidade Federal do Rio de Janeiro, Instituto de Estudos em Saúde Coletiva - Rio de Janeiro (RJ), Brasil.ORCID http://orcid.org/0000-0002-6992-3159

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe present study carried out an analysis of survival according to the status of registration with Primary Health Care (PHC) and of factors associated with death from COVID-19, in cases residing in Programmatic Area 3.1 (PA3.1) with a diagnosis of diabetes (in the notification form or in the electronic medical record), of the Municipality of Rio de Janeiro (RJ), Brazil, in 2020-2021.

methodsA probabilistic linkage of databases was performed based on information on cases notified as COVID-19 and data from the electronic medical records of people living with diabetes. A survival analysis was carried out, using the Cox regression model stratified by age group and adjusted for confounding variables.

resultsIndividuals registered with the PHC of PA3.1 had almost twice the risk of death from COVID-19 (adjusted hazard ratio [HRadj]=1.91) when compared to those unregistered. This association was stronger in individuals aged 18 to 59 years registered with the PHC (HRadj=2.82) than in individuals aged 60 years or over (HRadj=1.56).

conclusionSurveillance strategies for identifying and adequately monitoring higher-risk groups, among individuals living with diabetes, within the scope of Primary Health Care, can contribute to reducing mortality from COVID-19.

Indexed as

COVID-19Diabetes MellitusBrazilDatabases, FactualHumansPrimary Health Care

Identifiers

PMID37729346
PMCPMC10548836

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.