Evidence map›Paper›PMID 33534799›Full record

Observational studyPloS one2021

Spatial distribution of advanced stage diagnosis and mortality of breast cancer: Socioeconomic and health service offer inequalities in Brazil.

Nayara Priscila Dantas de Oliveira, Marianna de Camargo Cancela, Luís Felipe Leite Martins, Dyego Leandro Bezerra de Souza

Abstract readObservational Study
In one paragraph

Observational study in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
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  4. Review
  5. Article
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  9. Article
  10. Spatial equity and factors associated with intensive care unit bed allocation in China.Archives of public health = Archives belges de sante publique · 2024
    Article
  11. Article
  12. 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

4 authors.

Nayara Priscila Dantas de OliveiraPostgraduate Programme in Collective Health, Federal University of Rio Grande do Norte-UFRN, Natal, RN, Brazil.ORCID 0000-0001-9329-0235
Marianna de Camargo CancelaDivision of Surveillance and Analysis, Coordination of Prevention and Vigilance (CONPREV), Brazilian National Institute Cancer (INCA), Ministry of Health, Rio de Janeiro-RJ, Brazil.
Luís Felipe Leite MartinsDivision of Populational Research, Coordination of Prevention and Vigilance (CONPREV), Brazilian National Institute Cancer (INCA), Ministry of Health, Rio de Janeiro, RJ, Brazil.
Dyego Leandro Bezerra de SouzaDepartment of Collective Health, Postgraduate Programme in Collective Health, Federal University of Rio Grande do Norte-UFRN, Natal, RN, Brazil.ORCID 0000-0001-8426-3120

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer presents high incidence and mortality rates, being considered an important public health issue. Analyze the spatial distribution pattern of late stage diagnosis and mortality for breast cancer and its correlation with socioeconomic and health service offer-related population indicators. Ecological study, developed with 161 Intermediate Region of Urban Articulation (IRUA). Mortality data were collected from the Mortality Information System (MIS). Tumor staging data were extracted from the Hospital Cancer Registry (HCR). Socioeconomic variables were obtained from the Atlas of Human Development in Brazil; data on medical density and health services were collected from the National Registry of Health Institutions (NRHI) and Supplementary National Health Agency. Global Moran's Index and Local Indicator of Spatial Association (LISA) were utilized to verify the existence of territorial clusters. Multivariate analysis used models with global spatial effects. The proportion of late stage diagnosis of breast cancer was 39.7% (IC 39.4-40.0). The mean mortality rate for breast cancer, adjusted by the standard world population was 10.65 per 100,000 women (± 3.12). The proportion of late stage diagnosis presented positive spatial correlation with Gini's Index (p = 0.001) and negative with the density of gynecologist doctors (p = 0.009). The adjusted mortality rates presented a positive spatial correlation with the Human Development Index (p<0.001) and density of gynecologist doctors (p<0.001). Socioeconomic and health service offer-related inequalities of the Brazilian territory are determinants of the spatial pattern of breast cancer morbimortality in Brazil.

Indexed as

Healthcare DisparitiesAdolescentAdultAgedAged, 80 and overBrazilBreast NeoplasmsDelayed DiagnosisFemaleHumansMiddle AgedNeoplasm StagingRegistriesSocioeconomic FactorsSpatial AnalysisYoung Adult

Identifiers

PMID33534799
PMCPMC7857585

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Registered trials

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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.