Evidence map›Paper›PMID 35303029›Full record

ArticlePloS one2022

Spatial assessment of advanced-stage diagnosis and lung cancer mortality in Brazil.

Kálya Yasmine Nunes de Lima, Marianna de Camargo Cancela, Dyego Leandro Bezerra de Souza

Abstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Epidemiological profile of surgical treatment of lung cancer: retrospective analysis, Brazil, 2014-2023.Epidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. "Frontiers in public health · 2023
    Article
  9. 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

3 authors.

Kálya Yasmine Nunes de LimaPostgraduate Program in Collective Health, Federal University of Rio Grande do Norte-UFRN, Natal, Rio Grande do Norte, Brazil.ORCID 0000-0003-3519-0994
Marianna de Camargo CancelaDivision of Population Research, Division of Population Research, National Cancer Institute (INCA), Rio de Janeiro, Brazil.
Dyego Leandro Bezerra de SouzaDepartment of Collective Health, Postgraduate Programme in Collective Health, Federal University of Rio Grande do Norte-UFRN, Natal, Rio Grande do Norte, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The high incidence and mortality rates make lung cancer a global public health issue. Socioeconomic conditions and the provision of health services may be associated with this reality. This study investigates the spatial distribution of advanced-stage diagnosis and mortality due to lung cancer and its association with the healthcare services supply and demographic and socioeconomic indicators in Brazil. This is an ecological study with 161 Intermediate Regions of Urban Articulation. Mortality data were extracted from the Mortality Information System, and the cases of lung cancer were obtained from the Integrator of Hospital-Based Cancer Registries from 2011 to 2015. Analyses employed Moran's I, local indicators of spatial association, and the multivariable model. The proportion of advanced-stage diagnosis was 85.28% (95% CI 83.31-87.10) and was positively associated with the aging rate (Moran's I 0.11; p = 0.02), per capita income (Moran's I 0.05; p = 0.01) and negatively associated with Gini Index (Moran's I -0.16; p = 0.01). The mean age-adjusted mortality rates was 12.82 deaths/100,000 inhabitants (SD 5.12). The age-adjusted mortality rates for lung cancer presented a positive and statistically significant spatial association with all demographic, socioeconomic and healthcare services supply indicators, except for the "density of family health teams" (Moran's I -0.02 p = 0.28). The multivariable model for the mortality rates was constituted by the variables "Density of facilities licensed in oncology", "Per capita income", and "Health plan coverage". The per capita income presented positive association and health plan coverage negative association with age-adjusted mortality rates. Both associations were statistically significant. The variable density of facilities licensed in oncology showed no significant association with age-adjusted mortality rates. There is a high proportion of advanced-stage diagnosis across the Brazilian territory and inequalities in lung cancer mortality, which are correlated with the most developed areas of the country.

Indexed as

IncomeLung NeoplasmsBrazilHumansIncidenceSocioeconomic FactorsSpatial Analysis

Identifiers

PMID35303029
PMCPMC8932618

What OpenQuestion holds

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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.