Evidence map›Paper›PMID 28838894›Full record

ArticleBMJ open2017

Breast cancer mortality and associated factors in São Paulo State, Brazil: an ecological analysis.

Carmen Simone Grilo Diniz, Alessandra Cristina Guedes Pellini, Adeylson Guimarães Ribeiro, Marcello Vannucci Tedardi, Marina Jorge de Miranda, Michelle Mosna Touso, Oswaldo Santos Baquero, Patrícia Carlos Dos Santos, Francisco Chiaravalloti-Neto

Abstract read
In one paragraph

Article in BMJ open, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Linear regression in ecological studies involving space: methodology and an application example in public health.Revista brasileira de epidemiologia = Brazilian journal of epidemiology · 2026
    Article
  2. Article
  3. Mortality trends of breast and cervical cancer in Passo Fundo, Rio Grande do Sul: an analysis by age and schooling, 1999-2019.Epidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil · 2023
    Article
  4. Article
  5. Review
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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

9 authors.

Carmen Simone Grilo DinizDepartamento de Saúde, Ciclos de Vida e Sociedade da Faculdade de Saúde Pública, Universidade de São Paulo, São Paulo, Brazil.
Alessandra Cristina Guedes PelliniCentro de Vigilância Epidemiológica "Prof. Alexandre Vranjac", Secretaria de Estado da Saúde de São Paulo, São Paulo, Brazil.
Adeylson Guimarães RibeiroDepartamento de Saúde Ambiental, Faculdade de Saúde Pública, Universidade de São Paulo, São Paulo, Brazil.
Marcello Vannucci TedardiDepartamento de Patologia, Faculdade de Medicina Veterinária e Zootecnia, Universidade de São Paulo, São Paulo, Brazil.
Marina Jorge de MirandaDepartamento de Saúde, Ciclos de Vida e Sociedade da Faculdade de Saúde Pública, Universidade de São Paulo, São Paulo, Brazil.
Michelle Mosna TousoDepartamento de Enfermagem Materno-Infantil e Saúde Pública, Escola de Enfermagem de Ribeirão Preto, Universidade de São Paulo, São Paulo, Brazil.
Oswaldo Santos BaqueroDepartamento de Medicina Veterinária Preventiva, Faculdade de Medicina Veterinária e Zootecnia, Universidade de São Paulo, São Paulo, Brazil.
Patrícia Carlos Dos SantosSecretaria Municipal de Saúde de São Paulo, Coordenação de Epidemiologia e Informação, São Paulo, Brazil.
Francisco Chiaravalloti-NetoDepartamento Epidemiologia, Faculdade de Saúde Pública, Universidade de São Paulo, São Paulo, Brazil.ORCID http://orcid.org/0000-0003-2686-8740

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveIdentify the factors associated with the age-standardised breast cancer mortality rate in the municipalities of State of São Paulo (SSP), Brazil, in the period from 2006 to 2012.

designEcological study of the breast cancer mortality rate standardised by age, as the dependent variable, having each of the 645 municipalities in the SSP as the unit of analysis. SETTINGS: The female resident population aged 15 years or older, by age group and municipality, in 2009 (mid-term), obtained from public dataset (Informatics Department of the Unified Health System).

participantsWomen 15 years or older who died of breast cancer in the SSP were selected for the calculation of the breast cancer mortality rate, according to the municipality and age group, from 2006 to 2012.

main outcome measuresMortality rates for each municipality calculated by the direct standardisation method, using the age structure of the population of SSP in 2009 as the standard.

resultsIn the final linear regression model, breast cancer mortality, in the municipal level, was directly associated with rates of nulliparity (p<0.0001), mammography (p<0.0001) and private healthcare (p=0.006).

conclusionsThe findings that mammography ratio was associated, in the municipal level, with increased mortality add to the evidence of a probable overestimation of benefits and underestimation of risks associated with this form of screening. The same paradoxical trend of increased mortality with screening was found in recent individual-level studies, indicating the need to expand informed choice for patients, primary prevention actions and individualised screening. Additional studies should be conducted to explore if there is a causality link in this association.

Indexed as

Health Care SectorMammographyParityPrivate SectorAdolescentAdultAgedBrazilBreast NeoplasmsDatabases, FactualDemographyFemaleHumansLinear ModelsMiddle AgedSocioeconomic Factorsbreast tumoursepidemiologypublic health

Identifiers

PMID28838894
PMCPMC5629728

What OpenQuestion holds

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LicenceCC BY-NC
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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.