Evidence map›Paper›PMID 36016835›Full record

ArticleRevista panamericana de salud publica = Pan American journal of public health2022

Temporal trends and spatial clusters of gastric cancer mortality in Brazil.

Lucia Libanez Bessa Campelo Braga, Anderson Fuentes Ferreira, Fernando Antônio Siqueira Pinheiro, Tiago Gomes da Silva Benigno, Jorg Heukelbach, Daniel Barros de Castro, Dulciene Maria Magalhães Queiroz, Fábio Miyajima, Alberto Novaes Ramos

Abstract read
In one paragraph

Article in Revista panamericana de salud publica = Pan American journal of public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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

9 authors.

Lucia Libanez Bessa Campelo BragaDepartment of Internal Medicine School of Medicine Federal University of Ceará Fortaleza Brazil Department of Internal Medicine, School of Medicine, Federal University of Ceará, Fortaleza, Brazil.
Anderson Fuentes FerreiraPostgraduate Program of Public Health School of Medicine Federal University of Ceará Fortaleza Brazil Postgraduate Program of Public Health, School of Medicine, Federal University of Ceará, Fortaleza, Brazil.
Fernando Antônio Siqueira PinheiroDepartment of Surgery School of Medicine Federal University of Ceará Fortaleza Brazil Department of Surgery, School of Medicine, Federal University of Ceará, Fortaleza, Brazil.
Tiago Gomes da Silva BenignoPostgraduate Program of Medical-Surgical Sciences School of Medicine Federal University of Ceará Fortaleza Brazil Postgraduate Program of Medical-Surgical Sciences, School of Medicine, Federal University of Ceará, Fortaleza, Brazil.
Jorg HeukelbachPostgraduate Program of Public Health School of Medicine Federal University of Ceará Fortaleza Brazil Postgraduate Program of Public Health, School of Medicine, Federal University of Ceará, Fortaleza, Brazil.
Daniel Barros de CastroHealth Surveillance Foundation AmazonasManaus Brazil Health Surveillance Foundation, Amazonas, Manaus, Brazil.
Dulciene Maria Magalhães QueirozLaboratory of Research in Bacteriology School of Medicine Federal University of Minas Gerais Belo Horizonte Brazil Laboratory of Research in Bacteriology, School of Medicine, Federal University of Minas Gerais, Belo Horizonte, Brazil.
Fábio MiyajimaOswaldo Cruz Foundation Ceará Campus FIOCRUZ-CE Eusebio Brazil Oswaldo Cruz Foundation, Ceará Campus, FIOCRUZ-CE, Eusebio, Brazil.
Alberto Novaes RamosDepartment of Community Health School of Medicine Federal University of Ceará Fortaleza Brazil Department of Community Health, School of Medicine, Federal University of Ceará, Fortaleza, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To identify nationwide temporal trends and spatial patterns of gastric cancer-related mortality in Brazil. Methods: An ecological study was performed using death certificates registered from 2000 to 2019 in which gastric cancer was recorded as any cause of death (an underlying or associated cause). Trends over time were assessed using joinpoint regression models. Spatial and spatiotemporal clusters were identified by Kulldorff's space-time scan statistics to identify high-risk areas. Results: In 276 897/22 663 091 (1.22%) death certificates gastric cancer was recorded as any cause of death. Age-adjusted gastric cancer-related mortality increased significantly over time (annual percentage change [APC]: 0.7, 95% confidence interval [CI]: 0.5 to 0.8). The increase in mortality was more pronounced in the less-developed North and Northeast Regions (North Region, APC: 3.1, 95% CI: 2.7 to 3.5; Northeast Region, APC: 3.1, 95% CI: 2.5 to 3.7). Eight spatiotemporally associated high-risk clusters of gastric cancer-related mortality were identified in the North, South, Northeast and Central-West Regions, as well as a major cluster covering a wide geographical range in the South and Southeast Regions of Brazil during the first years of the study period (2000 to 2009). Conclusions: More recently, during 2010 to 2019, clusters of gastric cancer have been identified in the Northeast Region. The nationwide increase in mortality in this analysis of 20 years of data highlights the persistently high burden of gastric cancer in Brazil, especially in socioeconomically disadvantaged regions. The identification of these areas where the population is at high risk for gastric cancer-related mortality emphasizes the need to develop effective and intersectoral control measures.

Indexed as

epidemiologymortalityspatial analysisStomach neoplasmstime series studies

Identifiers

PMID36016835
PMCPMC9395278

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.