Evidence map›Paper›PMID 40929504›Full record

ArticleEpidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil2025

Sociodemographic and clinical factors associated with delayed diagnosis of cervical cancer: a cross-sectional study, Brazil, 2016-2020.

Ana Karla Monteiro Santana de Oliveira Freitas, Juliana Dantas de Araújo Santos Camargo, Amaxsell Thiago Barros de Souza, Talles Henrique de Araújo Pontes, Joyce Maria Pereira de Oliveira, Letícia Amaro Vieira, Pedro Lucas de Morais Ferreira, Sávio Ferreira Camargo, Janaina Cristiana de Oliveira Crispim Freitas

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Article in Epidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Ana Karla Monteiro Santana de Oliveira FreitasUniversidade Federal do Rio Grande do Norte, Natal, RN, Brazil.ORCID http://orcid.org/0000-0003-3907-9601
Juliana Dantas de Araújo Santos CamargoUniversidade Federal do Rio Grande do Norte, Programa de Pós-graduação em Ciências da Saúde, Natal, RN, Brazil.ORCID http://orcid.org/0000-0001-8692-5706
Amaxsell Thiago Barros de SouzaUniversidade Federal do Rio Grande do Norte, Natal, RN, Brazil.ORCID http://orcid.org/0000-0002-7085-8788
Talles Henrique de Araújo PontesUniversidade Federal do Rio Grande do Norte, Natal, RN, Brazil.ORCID http://orcid.org/0009-0008-4198-2887
Joyce Maria Pereira de OliveiraUniversidade Federal do Rio Grande do Norte, Natal, RN, Brazil.ORCID http://orcid.org/0009-0000-8284-0318
Letícia Amaro VieiraUniversidade Federal do Rio Grande do Norte, Natal, RN, Brazil.ORCID http://orcid.org/0000-0002-8877-4697
Pedro Lucas de Morais FerreiraUniversidade Federal do Rio Grande do Norte, Natal, RN, Brazil.ORCID http://orcid.org/0009-0000-0967-9708
Sávio Ferreira CamargoUniversidade Federal do Rio Grande do Norte, Programa de Pós-graduação em Ciências da Saúde, Natal, RN, Brazil.ORCID http://orcid.org/0000-0002-5165-1976
Janaina Cristiana de Oliveira Crispim FreitasUniversidade Federal do Rio Grande do Norte, Natal, RN, Brazil.ORCID http://orcid.org/0000-0002-1344-0078

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo assess the time taken to diagnose cervical cancer in Brazil and identify associated sociodemographic and clinical factors in the period 2016-2020.

methodsThis was a cross-sectional study of cervical neoplasms diagnosed between 2016 and 2020, using data collected from the Hospital Cancer Registry. The logistic regression model was applied to calculate odds ratios (OR) and 95% confidence intervals (95%CI). The estimates were converted to prevalence ratios (PR). A 5% significance level was adopted for all analyses.

resultsA total of 23,548 cases were evaluated. Prevalence of delayed diagnosis of cervical cancer was higher in women with no formal education (PR 1.40; 95%CI 1.19; 1.65), of Black or mixed race/skin color (PR 1.15; 95%CI 1.06; 1.25), living in the Northern region (PR 1.37; 95%CI 1.21; 1.55), referred by the Brazilian National Health System (PR 1.29; 95%CI 1.18; 1.41) and with diagnosis in 2020 (PR 1.29; 95%CI 1.16; 1.43). Delayed diagnosis was less frequent among women with stage III (PR 0.31; 95%CI 0.28; 0.35) and stage IV (PR 0.37; 95%CI 0.32; 0.42) cervical cancer.

conclusionDelayed diagnosis of cervical cancer is associated with sociodemographic inequalities and challenges faced by the Brazilian National Health System. Prevalence of delayed diagnosis was higher among Black women, women with less education and women from the Northern region. The results reinforce the need to strengthen the line of care and qualify diagnostic confirmation processes, especially for socially vulnerable populations.

Indexed as

Delayed DiagnosisUterine Cervical NeoplasmsAdolescentAdultAgedBrazilCross-Sectional StudiesFemaleHumansLogistic ModelsMiddle AgedPrevalenceRegistriesRisk FactorsSociodemographic FactorsSocioeconomic Factors

Identifiers

PMID40929504
PMCPMC12435956

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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.