Evidence map›Paper›PMID 30379833›Full record

ArticlePloS one2018

Spatial distribution of breast cancer mortality: Socioeconomic disparities and access to treatment in the state of Parana, Brazil.

Sheila Cristina Rocha-Brischiliari, Luciano Andrade, Oscar Kenji Nihei, Adriano Brischiliari, Michele Dos Santos Hortelan, Maria Dalva de Barros Carvalho, Sandra Marisa Pelloso

Abstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
–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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

7 authors.

Sheila Cristina Rocha-BrischiliariHealth Science Center, State University of Maringa, Maringa, Parana, Brazil.ORCID 0000-0002-0591-7307
Luciano AndradeDepartment of Medicine, State University of Maringa, Maringa, Parana, Brazil.
Oscar Kenji NiheiDepartment of Nursing, State University of the West of Parana, Foz do Iguaçu, Parana, Brazil.
Adriano BrischiliariDepartment of Nursing, State University of Maringa, Maringa, Parana, Brazil.
Michele Dos Santos HortelanPublic Health in the Region of Frontier, State University of the West of Parana, Foz do Iguaçu, Parana, Brazil.
Maria Dalva de Barros CarvalhoDepartment of Post Graduate in Health Science, State University of Maringa, Maringa, Parana, Brazil.
Sandra Marisa PellosoDepartment of Post Graduate in Health Science and Nursing, State University of Maringa, Maringa, Parana, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionBreast cancer remains an important public health problem that is responsible for high morbidity and mortality rates, especially in developing countries.

objectiveTo analyze the socioeconomic and access disparities related to breast cancer mortality in 399 cities in the state of Parana, Brazil.

methodsEcological, descriptive and analytical cross-sectional study based on secondary data from the Mortality Information System from 2009 to 2012 in the state of Parana. Breast cancer mortality rate was calculated considering the mortality cases and women population of each municipality, both based on women older than 20 years old. Moran global and local analyses were used to verify the presence of spatial autocorrelation and spatial regression modeling (Spatial Lag-SAR) with the purpose of analyzing the association between socioeconomic indicators, access and mortality rates for breast cancer.

resultsSignificant positive spatial autocorrelation was found for breast cancer mortality rates (I = 0.5432, p = 0.001). In the spatial regression analysis, the model explained 61% of the variance of the mortality rates for breast cancer. The mortality rate for breast cancer was negatively associated with the illiteracy rate (Coefficient = -0.0279) and positively associated with the access index (Coefficient = 12.9525).

conclusionThe lower illiteracy rate has not been sufficient to reduce the specific mortality rate by breast cancer, and the higher the score of accessibility to cancer services, the higher the specific mortality due to breast cancer. The results show that in the state of Parana, the problem is not related to a lack of education of the patients or the distance walked, but rather with the organization of services. These conclusions have important political implications on the organization and quality of the services provided for the diagnosis and treatment of breast cancer in the state of Parana.

Indexed as

Socioeconomic FactorsAdultBrazilBreast NeoplasmsCross-Sectional StudiesFemaleHealthcare DisparitiesHealth Services AccessibilityHumansMortalityQuality of Health CareRetrospective StudiesSpatial AnalysisSurvival AnalysisSurvival RateYoung Adult

Identifiers

PMID30379833
PMCPMC6209172

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LicenceCC BY
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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.