Evidence map›Paper›PMID 31319477›Full record

ArticleInternational journal of environmental research and public health2019

Lung Cancer Mortality Trends in a Brazilian City with a Long History of Asbestos Consumption.

Gisele Aparecida Fernandes, Eduardo Algranti, Gleice Margarete de Souza Conceição, Victor Wünsch Filho, Tatiana Natasha Toporcov

Abstract readComparative Study
In one paragraph

Article in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

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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

5 authors.

Gisele Aparecida FernandesDepartment Epidemiology, School of Public Health, University of São Paulo, São Paulo-SP 01246-904, Brazil. giseleunifei@gmail.com.
Eduardo AlgrantiDivision of Medicine, Fundação Jorge Duprat e Figueiredo (Fundacentro), São Paulo-SP 05409-002, Brazil.ORCID 0000-0002-6908-7242
Gleice Margarete de Souza ConceiçãoDepartment Epidemiology, School of Public Health, University of São Paulo, São Paulo-SP 01246-904, Brazil.
Victor Wünsch FilhoDepartment Epidemiology, School of Public Health, University of São Paulo, São Paulo-SP 01246-904, Brazil.
Tatiana Natasha ToporcovDepartment Epidemiology, School of Public Health, University of São Paulo, São Paulo-SP 01246-904, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There are scarce epidemiological studies on lung cancer mortality in areas exposed to asbestos in developing countries. We compared the rates and trends in mortality from lung cancer between 1980 and 2016 in a municipality that made extensive use of asbestos, Osasco, with rates from a referent municipality with lower asbestos exposure and with the rates for the State of São Paulo. We retrieved death records for cases of lung cancer (ICD-9 C162) (ICD-10 C33 C34) from 1980 to 2016 in adults aged 60 years and older. The join point regression and age-period-cohort models were fitted to the data. Among men, there was an increasing trend in lung cancer mortality in Osasco of 0.7% (CI: 0.1; 1.3) in contrast to a mean annual decrease for Sorocaba of -1.5% (CI: -2.4; -0.6) and a stable average trend for São Paulo of -0.1 (IC: -0.3; 0.1). Similar increasing trends were seen in women. The age-period-cohort model showed an increase in the risk of death from 1996 in Osasco and a reduction for Sorocaba and São Paulo State during the same period. Our results point to a need for a special monitoring regarding lung cancer incidence and mortality in areas with higher asbestos exposure.

Indexed as

AgedAsbestosBrazilCarcinogensDeveloping CountriesFemaleHumansIncidenceLungLung NeoplasmsMaleMiddle AgedMortalityTracheal NeoplasmsAsbestosCarcinogensasbestoslung neoplasmsmortality

Identifiers

PMID31319477
PMCPMC6679146

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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.