Evidence map›Paper›PMID 33669318›Full record

ArticleInternational journal of environmental research and public health2021

Predictors of Lung Cancer Risk: An Ecological Study Using Mortality and Environmental Data by Municipalities in Italy.

Claudio Gariazzo, Alessandra Binazzi, Marco Alfò, Stefania Massari, Massimo Stafoggia, Alessandro Marinaccio

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. 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
0.9field-weighted citation impact, top 29% of its field
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

4 citing papers in PubMed, 12 citations in OpenAlex.

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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

6 authors at 3 institutions in 1 country.

Claudio GariazzoOccupational and Environmental Medicine Epidemiology and Hygiene Department, Italian Workers' Compensation Authority (INAIL), 00144 Rome, Italy.ORCID 0000-0003-2287-6364
Alessandra BinazziOccupational and Environmental Medicine Epidemiology and Hygiene Department, Italian Workers' Compensation Authority (INAIL), 00144 Rome, Italy.
Marco AlfòDepartment of Statistic, University of Roma "Sapienza", 00185 Rome, Italy.ORCID 0000-0001-7651-6052
Stefania MassariOccupational and Environmental Medicine Epidemiology and Hygiene Department, Italian Workers' Compensation Authority (INAIL), 00144 Rome, Italy.
Massimo StafoggiaDepartment of Epidemiology, Lazio Regional Health Service, ASL Roma 1, 00154 Rome, Italy.
Alessandro MarinaccioOccupational and Environmental Medicine Epidemiology and Hygiene Department, Italian Workers' Compensation Authority (INAIL), 00144 Rome, Italy.ORCID 0000-0001-9068-2137
Istituto Nazionale per l'Assicurazione Contro gli Infortuni sul Lavoro · ITASL Roma · ITSapienza University of Rome · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer (LC) mortality remains a consistent part of the total deaths occurring worldwide. Its etiology is complex as it involves multifactorial components. This work aims in providing an epidemiological assessment on occupational and environmental factors associated to LC risk by means of an ecological study involving the 8092 Italian municipalities for the period 2006-2015. We consider mortality data from mesothelioma as proxy of asbestos exposure, as well as PM

Indexed as

AsbestosLung NeoplasmsMesotheliomaOccupational ExposureCitiesEnvironmental ExposureFemaleHumansItalyMaleAsbestosasbestosCOPDdeprivationischemic heartoccupational respiratory diseasesPM2.5radonurbanization

Identifiers

PMID33669318
PMCPMC7922734
OpenAlexW3130114170

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.