Evidence map›Paper›PMID 35946671›Full record

ArticleEpidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil2022

Indicators of the line of care for people with diabetes in Brazil: National Health Survey 2013 and 2019.

Deborah Carvalho Malta, Edmar Geraldo Ribeiro, Crizian Saar Gomes, Francielle Thalita Almeida Alves, Sheila Rizzato Stopa, Luciana Monteiro Vasconcelos Sardinha, Cimar Azeredo Pereira, Bruce Bartholow Duncan, Maria Inês Schimidt

Abstract read
In one paragraph

Article in Epidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Trend and burden of lower-limb amputations due to diabetes: time series analysis, Amazonas, 2012-2021.Epidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Cardiovascular Statistics - Brazil 2023.Arquivos brasileiros de cardiologia · 2024
    Article
  8. Applying the WHO global targets for diabetes mellitus.Nature reviews. Endocrinology · 2023
    Article
  9. Article
  10. Article
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

9 authors.

Deborah Carvalho MaltaUniversidade Federal de Minas Gerais, Escola de Enfermagem, Belo Horizonte, MG, Brasil.ORCID 0000-0002-8214-5734
Edmar Geraldo RibeiroUniversidade Federal de Minas Gerais, Escola de Enfermagem, Belo Horizonte, MG, Brasil.ORCID 0000-0002-7201-9566
Crizian Saar GomesUniversidade Federal de Minas Gerais, Faculdade de Medicina, Belo Horizonte, MG, Brasil.ORCID 0000-0001-6586-4561
Francielle Thalita Almeida AlvesUniversidade Federal de Minas Gerais, Escola de Enfermagem, Belo Horizonte, MG, Brasil.ORCID 0000-0001-8886-8514
Sheila Rizzato StopaMinistério da Saúde, Departamento de Análise em Saúde e Vigilância de Doenças Não Transmissíveis, Brasília, DF, Brasil.ORCID 0000-0001-8847-665X
Luciana Monteiro Vasconcelos SardinhaMinistério da Saúde, Departamento de Análise em Saúde e Vigilância de Doenças Não Transmissíveis, Brasília, DF, Brasil.ORCID 0000-0002-3679-3618
Cimar Azeredo PereiraInstituto Brasileiro de Geografia e Estatística, Diretoria de Pesquisas, Rio de Janeiro, RJ, Brasil.ORCID 0000-0001-6183-1607
Bruce Bartholow DuncanUniversidade Federal do Rio Grande do Sul, Programa de Pós-graduação em Epidemiologia, Porto Alegre, RS, Brasil.ORCID 0000-0002-1365-2222
Maria Inês SchimidtUniversidade Federal do Rio Grande do Sul, Programa de Pós-graduação em Epidemiologia, Porto Alegre, RS, Brasil.ORCID 0000-0002-9479-3659

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo compare health care indicators for adults with medical diagnosis of diabetes mellitus (DM) in Brazil, in 2013 and 2019, and analyze the indicators for 2019 according to sociodemographic characteristics.

methodsCross-sectional study using data from the 2013 and 2019 National Health Survey. Care indicators were evaluated in people with medical diagnosis of DM.

resultsDM prevalence increased from 6.2% (2013) to 7.7% (2019). Between 2013 and 2019, there was an increase in the use of medications (from 80.2% to 88.8%) and of medical care (from 73.2% to 79.1%), a reduction in the use of Popular Pharmacy Program medications (from 57.4% to 51.5%) and in follow-up with the same physician (from 65.2% to 59.4%). In 2019, poorer indicators were observed for individuals who were male, younger, Black and Brown, and with lower education and income.

conclusionMost indicators remained similar in the last five years, with differences according to sociodemographic characteristics in 2019.

Indexed as

Diabetes MellitusAdultBrazilCross-Sectional StudiesEducational StatusFemaleHealth SurveysHumansMale

Identifiers

PMID35946671
PMCPMC9897823

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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.