Evidence map›Paper›PMID 38981677›Full record

ArticleOccupational and environmental medicine2024

Ovarian cancer deaths attributable to asbestos exposure in Lombardy (Italy) in 2000-2018.

Giorgia Stoppa, Carolina Mensi, Lucia Fazzo, Giada Minelli, Valerio Manno, Alessandro Marinaccio, Dario Consonni, Annibale Biggeri, Dolores Catelan

Abstract read
In one paragraph

Article in Occupational and environmental medicine, 2024. 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

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.

  1. Tumor Exposomics: A New Paradigm for Individualized Continuous Exposure Monitoring.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
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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

9 authors.

Giorgia StoppaUnit of Biostatistics, Epidemiology and Public Health, DCTVPH, University of Padua, Padova, Italy giorgia.stoppa@ubep.unipd.it.ORCID 0000-0002-4272-2672
Carolina MensiOccupational Health Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.ORCID 0000-0002-9075-3684
Lucia FazzoDepartment of Environment and Health, Italian National Institute of Health, Rome, Italy.ORCID 0000-0002-6465-1780
Giada MinelliStatistical Service, Italian National Institute of Health, Rome, Italy.
Valerio MannoStatistical Service, Italian National Institute of Health, Rome, Italy.
Alessandro MarinaccioOccupational and Environmental Medicine, Epidemiology and Hygiene Department, Italian Workers' Compensation Authority (INAIL), Rome, Italy.ORCID 0000-0001-9068-2137
Dario ConsonniOccupational Health Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.ORCID 0000-0002-8935-3843
Annibale BiggeriUnit of Biostatistics, Epidemiology and Public Health, DCTVPH, University of Padua, Padova, Italy.
Dolores CatelanUnit of Biostatistics, Epidemiology and Public Health, DCTVPH, University of Padua, Padova, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesWe aimed to estimate the fraction of deaths from ovarian cancer attributable to asbestos exposure in Lombardy Region, Italy, using a novel approach that exploits the fact that ovarian cancer asbestos exposure is associated with pleural cancer and other risk factors for breast cancer.

methodsThis ecological study is based on the Italian National Institute of Statistics mortality data. We formulate a trivariate Bayesian joint disease model to estimate the attributable fraction (AF) and the number of ovarian cancer deaths attributable to asbestos exposure from the geographic distribution of ovarian, pleural and breast cancer mortality at the municipality level from 2000 to 2018. Expected deaths and standardised mortality ratios were calculated using regional rates.

resultsWe found shared dependencies between ovarian and pleural cancer, which capture risk factors common to the two diseases (asbestos exposure), and a spatially structured clustering component shared between ovarian and breast cancer, capturing other risk factors. Based on 10 462 ovarian cancer deaths, we estimated that 574 (95% credibility interval 388-819) were attributable to asbestos (AF 5.5%; 95% credibility interval 3.7-7.8). AF reaches 34%-47% in some municipalities with known heavy asbestos pollution.

conclusionsThe impact of asbestos on ovarian cancer occurrence can be relevant, particularly in areas with high asbestos exposure. Estimating attributable cases was possible only by using advanced Bayesian modelling to consider other risk factors for ovarian cancer. These findings are instrumental in tailoring public health surveillance programmes and implementing compensation and prevention policies.

Indexed as

AsbestosBayes TheoremOvarian NeoplasmsPleural NeoplasmsAdultAgedAged, 80 and overBreast NeoplasmsEnvironmental ExposureFemaleHumansItalyMiddle AgedOccupational ExposureRisk FactorsAsbestosAsbestosEnvironmentEpidemiologyPublic Health SurveillanceStatistics

Identifiers

PMID38981677
PMCPMC11347218

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LicenceCC BY-NC
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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.