Evidence map›Paper›PMID 41626351›Full record

ArticleFrontiers in public health2025

Projecting future mortality risk of pleural mesothelioma in Italy (2020-2034): Bayesian age-period-cohort analysis over 40 years of death registration.

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

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Allegra SartoreUnit of Biostatistics, Epidemiology and Public Health, DCTVPH, University of Padova, Padova, Italy.
Giorgia StoppaUnit of Biostatistics, Epidemiology and Public Health, DCTVPH, University of Padova, Padova, Italy.
Giada MinelliStatistical Service, Italian National Institute of Health, Rome, Italy.
Carolina MensiOccupational Health Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
Dario ConsonniOccupational Health Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, 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.
Lucia FazzoDepartment of Environment and Health, Italian National Institute of Health, Rome, Italy.
Annibale BiggeriUnit of Biostatistics, Epidemiology and Public Health, DCTVPH, University of Padova, Padova, Italy.
Dolores CatelanUnit of Biostatistics, Epidemiology and Public Health, DCTVPH, University of Padova, Padova, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Italy, a major former producer, banned asbestos in 1992. A high incidence of mesothelioma, one of the asbestos legacies, is still observed due to the long latency and exposure from residual asbestos-containing materials. Future mortality forecasts at both national and subnational levels are still lacking. This work aims to project future age-stratified mortality rates (2020-2034) for pleural mesothelioma (PM) in Italy, both nationally and for each administrative region. Methods: Data on pleural cancers and PM in Italy between 1980 and 2019 were extracted from death registries, adjusted for PM misclassification in ICD-9, and aggregated in eight periods, eighteen age classes, and fifteen birth cohorts. Bayesian age-period-cohort models were implemented to generate age-specific mortality projections, stratified by sex assigned at birth. Results: Between 1980 and 2019, 33,889 people died from PM in Italy, and 19,092 more deaths are expected between 2020 and 2034. The national peak is predicted for 2020-2024, with 6,740 deaths. Age groups under 75 years have already reached the peak of mortality rates. Region-specific trends by sex and time reflect the country's industrialization history. Discussion: These results align with the literature in predicting the timing of the mesothelioma peak and offer new insights into age-specific trends, the rate of decline, and geographical patterns. They provide valuable evidence on the heterogeneous asbestos legacy across regions, supporting targeted public health actions and health planning.

Indexed as

MesotheliomaPleural NeoplasmsAdolescentAdultAgedAged, 80 and overAge DistributionAsbestosBayes TheoremCohort StudiesFemaleForecastingHumansItalyMaleMiddle AgedAsbestosasbestos exposureBayesian modelcancer epidemiologyepidemiological surveillanceforecastspleural mesothelioma

Identifiers

PMID41626351
PMCPMC12856937

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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.