Evidence map›Paper›PMID 38402419›Full record

ArticleAsian Pacific journal of cancer prevention : APJCP2023

Comparative Analysis of Mortality due to Breast Cancer and Mammography Uptake in the Federative Units of Brazil-2015 to 2021.

Lander Dos Santos, Igor Roszkowski, Constanza Pujals, Rosana Rosseto de Oliveira, Fernando Castilho Pelloso, Deise Helena Pelloso Borghesan, Isaac Romani, Mariá Romanio Bitencourt, Ana Carolina Jacinto Alarcão, Vlaudimir Dias Marques and 4 more

Open access · goldAbstract read
In one paragraph

Article in Asian Pacific journal of cancer prevention : APJCP, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 29% 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 citations in OpenAlex.

  1. Article
  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

14 authors at 2 institutions in 2 countries.

Lander Dos SantosPost-Graduation Program in Health Sciencies at State University of Maringa, PR, Brazil.
Igor RoszkowskiPost-Graduation Program in Health Sciencies at State University of Maringa, PR, Brazil.
Constanza PujalsPost-Graduation Program in Health Sciencies at State University of Maringa, PR, Brazil.
Rosana Rosseto de OliveiraPost-Graduation Program in Health Sciencies at State University of Maringa, PR, Brazil.
Fernando Castilho PellosoState Foundation of Healthcare, Curitiba, PR, Brazil.
Deise Helena Pelloso BorghesanIngá University Center - Uninga, Maringá, PR, Brazil.
Isaac RomaniIngá University Center - Uninga, Maringá, PR, Brazil.
Mariá Romanio BitencourtPost-Graduation Program in Health Sciencies at State University of Maringa, PR, Brazil.
Ana Carolina Jacinto AlarcãoPost-Graduation Program in Health Sciencies at State University of Maringa, PR, Brazil.
Vlaudimir Dias MarquesPost-Graduation Program in Health Sciencies at State University of Maringa, PR, Brazil.
Marcela de Andrade Pereira SilvaPost-Graduation Program in Health Sciencies at State University of Maringa, PR, Brazil.
Maria Dalva de Barros CarvalhoPost-Graduation Program in Health Sciencies at State University of Maringa, PR, Brazil.
Raíssa Bocchi PedrosoPost-Graduation Program in Health Sciencies at State University of Maringa, PR, Brazil.
Sandra Marisa PellosoPost-Graduation Program in Health Sciencies at State University of Maringa, PR, Brazil.
Universidade Estadual de Maringá · BRAIDS Healthcare Foundation · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Compare the breast cancer mortality rate and the rate of mammograms with socioeconomic factors, in Brazilian´s Federative Units, during the period of 2015 to 2021. Methods: This is an ecological study, of a descriptive nature, which covers the 27 Brazilian federative units, using secondary data extracted from the DATASUS System. The information analyzed was mammography data, breast cancer mortality, demographic and economic data of the resident population and women over 20 years of age. Results: There is a direct relationship between mortality rate and mammograms rates in the Federative Units. The data obtained for Brazil presents a total of 133,048 deaths from breast cancer and 17,324,526 mammography exams in the period from 2015 to 2021. In other words, Brazil presents a standardized mortality rate value, 19.25 deaths per 100,000 women. Regarding the mammography rate, the value of the exam-specific mammography rate was 2,506.55 per 100,000 women. In relation to socioeconomic data by mortality rate group, higher mortality rates from breast cancer present higher rates in the variables: income rate by State (2,594.86), people with income (63.5), average percentage of women with more over 50 years old (29.5%), women with average years of education (6.64), white population (55.1%) and mammography exam rate (2873.20). When analysing the highest rates of mammography exam rates, higher rates are observed income rate by State (2,161.47), people with income (62.5%), average percentage of women over 50 years old (28.6%), women with an average number of years of education (5.8). Conclusion: Brazil has a high mortality rate due to breast cancer, when compared to other countries. The reasons are diverse, such as the modern, industrialized and populous lifestyle. The Federative Units with the highest mortality rate also have high rates of mammograms, that is, in the Federative Units with "better" sociodemographic conditions, the South and Southeast.

Indexed as

Breast NeoplasmsAdultBrazilFemaleHumansIncomeMammographyMiddle AgedSocioeconomic Factors

Identifiers

PMID38402419
PMCPMC10909118
OpenAlexW4392136615

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.