Evidence map›Paper›PMID 36629620›Full record

ArticleRevista brasileira de epidemiologia = Brazilian journal of epidemiology2023

Intra-urban spatial variability of breast and cervical cancer mortality in the city of São Paulo: analysis of associated factors.

Breno Souza de Aguiar, Alessandra Cristina Guedes Pellini, Elizabeth Angélica Salinas Rebolledo, Adeylson Guimarães Ribeiro, Carmen Simone Grilo Diniz, Patricia Marques Moralejo Bermudi, Marcelo Antunes Failla, Oswaldo Santos Baquero, Francisco Chiaravalloti-Netto

Open access · diamondAbstract 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. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 25% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
  2. 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 at 4 institutions in 1 country.

Breno Souza de AguiarSecretaria Municipal da Saúde de São Paulo, Coordenação de Epidemiologia e Informação - São Paulo (SP), Brasil.ORCID http://orcid.org/0000-0002-6621-228X
Alessandra Cristina Guedes PelliniUniversidade Nove de Julho - São Paulo (SP), Brasil.ORCID http://orcid.org/0000-0002-3799-9415
Elizabeth Angélica Salinas RebolledoUniversidade de São Paulo, Faculdade de Saúde Pública - São Paulo (SP), Brasil.ORCID http://orcid.org/0000-0001-9770-7392
Adeylson Guimarães RibeiroHospital de Câncer de Barretos, Instituto de Ensino e Pesquisa - Barretos (SP), Brasil.ORCID http://orcid.org/0000-0001-8447-8463
Carmen Simone Grilo DinizUniversidade de São Paulo, Faculdade de Saúde Pública - São Paulo (SP), Brasil.ORCID http://orcid.org/0000-0002-0069-2532
Patricia Marques Moralejo BermudiUniversidade de São Paulo, Faculdade de Saúde Pública - São Paulo (SP), Brasil.ORCID http://orcid.org/0000-0002-5825-6389
Marcelo Antunes FaillaSecretaria Municipal da Saúde de São Paulo, Coordenação de Epidemiologia e Informação - São Paulo (SP), Brasil.ORCID http://orcid.org/0000-0002-9004-7309
Oswaldo Santos BaqueroUniversidade de São Paulo, Faculdade de Medicina Veterinária e Zootecnia - São Paulo (SP), Brasil.ORCID http://orcid.org/0000-0003-2695-7946
Francisco Chiaravalloti-NettoUniversidade de São Paulo, Faculdade de Saúde Pública - São Paulo (SP), Brasil.ORCID http://orcid.org/0000-0003-2686-8740
Universidade de São Paulo · BRSecretaria Municipal de Saúde · BRHospital de Câncer de Barretos · BRUniversidade Nove de Julho · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo identify spatial variability of mortality from breast and cervical cancer and to assess factors associated in the city of São Paulo.

methodsBetween 2009 and 2016, 10,124 deaths from breast cancer and 2,116 deaths from cervical cancer were recorded in the Mortality Information System among women aged 20 years and over. The records were geocoded by address of residence and grouped according to Primary Health Care coverage areas. A spatial regression modeling was put together using the Bayesian approach with a Besag-York-Mollié structure to verify the association of deaths with selected indicators.

resultsMortality rates from these types of cancer showed inverse spatial patterns. These variables were associated with breast cancer mortality: travel time between one and two hours to work (RR - relative risk: 0.97; 95%CI - credible interval: 0.93-1.00); women being the head of the household (RR 0.97; 95%CI 0.94-0.99) and deaths from breast cancer in private health institutions (RR 1.04; 95%CI 1.00-1.07). The following variables were associated with mortality from cervical cancer: travel time to work between half an hour and one hour (RR 0.92; 95%CI 0.87-0.98); per capita household income of up to 3 minimum wages (RR 1.27; 95%CI 1.18-1.37) and ratio of children under one year of age related to the female population aged 15 to 49 years (RR 1.09; 95%CI 1.01-1.18).

conclusionThe predicted RR for mortality from these cancers were calculated and associated with the socioeconomic conditions of the areas covered.

Indexed as

Breast NeoplasmsUterine Cervical NeoplasmsBayes TheoremBrazilChildCitiesFemaleHumansSocioeconomic Factors

Identifiers

PMID36629620
PMCPMC9838235
OpenAlexW4315619997

What OpenQuestion holds

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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.