Evidence map›Paper›PMID 32993727›Full record

ArticlePopulation health metrics2020

Inequalities in the burden of female breast cancer in Brazil, 1990-2017.

Maximiliano Ribeiro Guerra, Mário Círio Nogueira, Deborah Carvalho Malta, Camila Soares Lima Côrrea, Maria de Fatima Marinho de Souza, Maria Paula Curado, Mariana Santos Felisbino-Mendes, Meghan Mooney, Mohsen Naghavi, Maria Teresa Bustamante-Teixeira

Abstract read
In one paragraph

Article in Population health metrics, 2020. 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.

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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

10 authors.

Maximiliano Ribeiro GuerraGraduate Program in Public Health, Universidade Federal de Juiz de Fora (UFJF), Juiz de Fora, Minas Gerais, Brazil. guerramr@hotmail.com.ORCID 0000-0003-0234-7190
Mário Círio NogueiraGraduate Program in Public Health, Universidade Federal de Juiz de Fora (UFJF), Juiz de Fora, Minas Gerais, Brazil.
Deborah Carvalho MaltaDepartment of Maternal and Child Nursing and Public Health, Nursing School, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Minas Gerais, Brazil.
Camila Soares Lima CôrreaGraduate Program in Public Health, Universidade Federal de Juiz de Fora (UFJF), Juiz de Fora, Minas Gerais, Brazil.
Maria de Fatima Marinho de SouzaGraduate Program of the Preventive Medicine Department, Medical School, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Minas Gerais, Brazil.
Maria Paula CuradoAC Camargo Cancer Center, AC Camargo Hospital, São Paulo, SP, Brazil.
Mariana Santos Felisbino-MendesDepartment of Maternal and Child Nursing and Public Health, Nursing School, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Minas Gerais, Brazil.
Meghan MooneyInstitute for Health Metrics and Evaluation (IHME), University of Washington, Seattle, WA, USA.
Mohsen NaghaviInstitute for Health Metrics and Evaluation (IHME), University of Washington, Seattle, WA, USA.
Maria Teresa Bustamante-TeixeiraGraduate Program in Public Health, Universidade Federal de Juiz de Fora (UFJF), Juiz de Fora, Minas Gerais, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBreast cancer is the most frequently diagnosed cancer in women and the leading cause of cancer death among females worldwide. In recent decades, breast cancer death rates have been stable or decreasing in more developed regions; however, this has not been observed in less developed regions. This study aims to evaluate inequalities in the burden of female breast cancer in Brazil including an analysis of interregional and interstate patterns in incidence, mortality and disability-adjusted life years (DALYs) rates from 1990 to 2017, and mortality-to-incidence ratio (MIR), and their association with the Socio-demographic Index (SDI).

methodsUsing estimates from the global burden of disease (GBD) study, we applied a spatial exploratory analysis technique to obtain measurements of global and local spatial correlation. Percentage changes of breast cancer incidence, mortality, and DALYs rates between 1990 and 2017 were calculated, and maps were developed to show the spatial distribution of the variables. Spatial panel models were adjusted to investigate the association between rates and SDI in Brazilian states.

resultsIn Brazil, while breast cancer mortality rate have had modest reduction (-4.45%; 95% UI: -6.97; -1.76) between 1990 and 2017, the incidence rate increased substantially (+39.99%; 95% UI: 34.90; 45.39). Breast cancer incidence and mortality rates in 1990 and 2017 were higher in regions with higher SDI, i.e., the most developed ones. While SDI increased in all Brazilian states between 1990 and 2017, notably in less developed regions, MIR decreased, more notably in more developed regions. The SDI had a positive association with incidence rate and a negative association with MIR.

conclusionSuch findings suggest an improvement in breast cancer survival in the period, which may be related to a broader access to diagnostic methods and treatment. This study also revealed the inequality in breast cancer outcomes among Brazilian states and may guide public policy priorities for disease control in the country.

Indexed as

Socioeconomic FactorsBrazilBreast NeoplasmsFemaleGlobal Burden of DiseaseGlobal HealthHealth Status DisparitiesHumansIncidenceQuality-Adjusted Life YearsRisk FactorsBreast neoplasmGlobal burdenIncidenceMortality

Identifiers

PMID32993727
PMCPMC7525962

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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.