Evidence map›Paper›PMID 39200617›Full record

ArticleInternational journal of environmental research and public health2024

Relationship between Screening, Diagnostic Mammograms, Hospital Admissions, and Mortality Rates from Breast Cancer.

Kely Paviani Stevanato, Helena Fiats Ribeiro, Lander Dos Santos, Fernando Castilho Pelloso, Pedro Beraldo Borba, Deise Helena Pelloso Borghesan, Maria Dalva de Barros Carvalho, Raíssa Bocchi Pedroso, Constanza Pujals, Sandra Marisa Pelloso

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2024. 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
–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

2 citing papers in PubMed.

  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

10 authors.

Kely Paviani StevanatoHealth Sciences Center, State University of Maringá-UEM, Maringá 87020-900, Brazil.ORCID 0000-0003-1872-8246
Helena Fiats RibeiroHealth Sciences Center, State University of Maringá-UEM, Maringá 87020-900, Brazil.ORCID 0000-0002-6242-0081
Lander Dos SantosHealth Sciences Center, State University of Maringá-UEM, Maringá 87020-900, Brazil.ORCID 0000-0001-7734-2189
Fernando Castilho PellosoSecretary Health Curitiba, Curitiba 80060-240, Brazil.
Pedro Beraldo BorbaDepartment of Medicine, University of Marilia-UNIMAR, Marilia 17525-902, Brazil.
Deise Helena Pelloso BorghesanDepartment of Aesthetics and Cosmetics, Catholic College of Mato Grosso, Várzea Grande 78070-200, Brazil.
Maria Dalva de Barros CarvalhoHealth Sciences Center, State University of Maringá-UEM, Maringá 87020-900, Brazil.
Raíssa Bocchi PedrosoHealth Sciences Center, State University of Maringá-UEM, Maringá 87020-900, Brazil.
Constanza PujalsHealth Sciences Center, State University of Maringá-UEM, Maringá 87020-900, Brazil.
Sandra Marisa PellosoHealth Sciences Center, State University of Maringá-UEM, Maringá 87020-900, Brazil.

Funding

Coordenação de Aperfeicoamento de Pessoal de Nível Superior 001
6 · The paper itself

Abstract

backgroundBreast cancer is the most common type of cancer worldwide. If diagnosed and treated early, it has a high chance of cure, and for this, screening tests are necessary, namely mammograms, which are the most commonly used. The objective of this study was to analyze the association between the number of screening and diagnostic mammograms and the number of hospitalizations and deaths from breast cancer.

methodsThis is a cross-sectional, analytical, retrospective study with secondary data made available by the Ministry of Health. Pearson correlation analysis was employed to assess whether the number of mammograms is associated with the number of deaths and hospitalizations, Poisson regression was used to assess whether an increase in the number of mammograms and hospitalizations is related to the number of deaths, and the Cox-Stuart test was used to analyze the temporal trend of the variables under study and the projection of time series.

resultsThere was a strong positive correlation for all age groups when relating the variables hospitalizations and deaths, a moderate-to-strong correlation for the variables mammography and hospitalization, and a weak correlation for the variables mammography and death. There was no statistical significance in the relationship between the number of mammograms and deaths, whereas the hospitalization variable had a significant impact in relation to death, increasing the chance by 0.015%. There has also been a significant growth trend in the variables deaths and hospitalizations in Brazil over the years.

conclusionsA growing trend was identified from 2013 to 2021, both in hospitalizations and deaths, thus suggesting that strategies aimed at reformulating public health policies are necessary for earlier diagnosis in order to improve the treatment of breast cancer and the prognosis of the disease.

Indexed as

Breast NeoplasmsHospitalizationMammographyAdultAgedAged, 80 and overBrazilCross-Sectional StudiesEarly Detection of CancerFemaleHumansMass ScreeningMiddle AgedRetrospective StudiesYoung Adultbreast cancerdeathdiagnosishospitalizationtracking

Identifiers

PMID39200617
PMCPMC11354218

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.