Evidence map›Paper›PMID 34283067›Full record

ArticleCancers2021

Effect of Asbestos Consumption on Malignant Pleural Mesothelioma in Italy: Forecasts of Mortality up to 2040.

Enrico Oddone, Jordy Bollon, Consuelo Rubina Nava, Dario Consonni, Alessandro Marinaccio, Corrado Magnani, Antonio Gasparrini, Francesco Barone-Adesi

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 9% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
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  14. Burden of Mortality from Asbestos-Related Diseases in Italy.International journal of environmental research and public health · 2021
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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

8 authors at 6 institutions in 2 countries.

Enrico OddoneDepartment of Public Health, Experimental and Forensic Medicine, University of Pavia, via Severino Boezio 24, 27100 Pavia, Italy.ORCID 0000-0001-8503-6560
Jordy BollonDepartment of Translational Medicine, University of Eastern Piedmont, 28100 Novara, Italy.ORCID 0000-0003-1825-3682
Consuelo Rubina NavaDepartment of Economics and Statistics 'Cognetti de Martiis', University of Turin, 10124 Turin, Italy.ORCID 0000-0002-8046-8185
Dario ConsonniEpidemiology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, 20122 Milan, Italy.ORCID 0000-0002-8935-3843
Alessandro MarinaccioOccupational and Environmental Medicine, Epidemiology and Hygiene Department, Italian Workers' Compensation Authority (INAIL), 00187 Rome, Italy.ORCID 0000-0001-9068-2137
Corrado MagnaniDepartment of Translational Medicine, University of Eastern Piedmont, 28100 Novara, Italy.ORCID 0000-0001-6413-5471
Antonio GasparriniDepartment of Public Health Environments and Society, London School of Hygiene & Tropical Medicine, London WC1H 9SH, UK.ORCID 0000-0002-2271-3568
Francesco Barone-AdesiDepartment of Translational Medicine, University of Eastern Piedmont, 28100 Novara, Italy.ORCID 0000-0003-1550-436X
Università degli Studi del Piemonte Orientale “Amedeo Avogadro” · ITFondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico · ITIstituto Nazionale per l'Assicurazione Contro gli Infortuni sul Lavoro · ITLondon School of Hygiene & Tropical Medicine · GBUniversity of Pavia · ITUniversity of Turin · IT

Funding

Medical Research Council MR/R013349/1
6 · The paper itself

Abstract

Statistical models used to forecast malignant pleural mesothelioma (MPM) trends often do not take into account historical asbestos consumption, possibly resulting in less accurate predictions of the future MPM death toll. We used the distributed lag non-linear model (DLNM) approach to predict future MPM cases in Italy until 2040, based on past asbestos consumption figures. Analyses were conducted using data on male MPM deaths (1970-2014) and annual asbestos consumption using data on domestic production, importation, and exportation. According to our model, the peak of MPM deaths is expected to occur in 2021 (1122 expected cases), with a subsequent decrease in mortality (344 MPM deaths in 2039). The exposure-response curve shows that relative risk (RR) of MPM increased almost linearly for lower levels of exposure but flattened at higher levels. The lag-specific RR grew until 30 years since exposure and decreased thereafter, suggesting that the most relevant contributions to the risk come from exposures which occurred 20-40 years before death. Our results show that the Italian MPM epidemic is approaching its peak and underline that the association between temporal trends of MPM and time since exposure to asbestos is not monotonic, suggesting a lesser role of remote exposures in the development of MPM than previously assumed.

Indexed as

asbestos consumptiondistributed lag non-linear model (DLNM)epidemiologyforecastsoccupational medicinepleural mesothelioma

Identifiers

PMID34283067
PMCPMC8267929
OpenAlexW3184768597

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.