Evidence map›Paper›PMID 29334525›Full record

ArticleJournal of occupational and environmental medicine2018

Temporal Patterns of Exposure to Asbestos and Risk of Asbestosis: An Analysis of a Cohort of Asbestos Textile Workers.

Andrea Farioli, Francesco S Violante, Carlo La Vecchia, Eva Negri, Claudio Pelucchi, Giovanna Spatari, Paolo Boffetta, Enrico Pira

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In one paragraph

Article in Journal of occupational and environmental medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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.

Andrea FarioliDepartment of Medical and Surgical Sciences (DIMEC), Bologna University, Bologna, Italy (Dr Farioli and Dr Violante); Department of Clinical Sciences and Community Health, Milan University, Milan, Italy (Dr La Vecchia and Mr Pelucchi); Department of Biomedical and Clinical Sciences, Milan University, Milan, Italy (Ms Negri); Department of Environmental Science, Safety, Territory, Food and Health, Messina University, Messina, Italy (Dr Spatari); Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York (Dr Boffetta); Department of Public Health Sciences and Pediatrics, Turin University, Turin, Italy (Dr Pira).
Francesco S Violante
Carlo La Vecchia
Eva Negri
Claudio Pelucchi
Giovanna Spatari
Paolo Boffetta
Enrico Pira

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim of the study was to assess the risk of asbestosis death based on the temporal pattern of exposure to asbestos.

methodsWe followed up a cohort of asbestos textile workers, employed in 1946 to 1984, until November 2013. We measured the duration of the employment, the time since last employment (TSLE), the age, and the year of first employment. Hazard ratios (HR) were estimated through multivariable Cox regression models.

resultsWe observed 51 asbestosis deaths among 1823 workers. The HR of asbestosis death increased with exposure duration (HR 2.4 for ≥15 years compared with <5 years, P trend = 0.014) and declined with TSLE (HR 0.3 for ≥25 compared with <5 years, P = 0.004). The risk of asbestosis mortality strongly declined for exposure starting after 1968.

conclusionsThe risk of asbestosis death strongly declines in the decades after cessation of the exposure.

Indexed as

AdultAgedAged, 80 and overAir Pollutants, OccupationalAsbestosAsbestosisEmploymentFemaleFollow-Up StudiesHumansItalyMaleMiddle AgedOccupational ExposureProportional Hazards ModelsTextile IndustryAir Pollutants, OccupationalAsbestos

Identifiers

PMID29334525
PMCPMC5991190

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.