Evidence map›Paper›PMID 32785269›Full record

ArticlePloS one2020

A new trajectory approach for investigating the association between an environmental or occupational exposure over lifetime and the risk of chronic disease: Application to smoking, asbestos, and lung cancer.

Emilie Lévêque, Aude Lacourt, Viviane Philipps, Danièle Luce, Pascal Guénel, Isabelle Stücker, Cécile Proust-Lima, Karen Leffondré

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.3field-weighted citation impact, top 17% 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

10 citing papers in PubMed, 20 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

8 authors at 2 institutions in 1 country.

Emilie LévêqueUniv. Bordeaux, Inserm, Bordeaux Population Health Research Center, UMR 1219, Bordeaux, France.
Aude LacourtUniv. Bordeaux, Inserm, Bordeaux Population Health Research Center, UMR 1219, Bordeaux, France.
Viviane PhilippsUniv. Bordeaux, Inserm, Bordeaux Population Health Research Center, UMR 1219, Bordeaux, France.
Danièle LuceUniv. Rennes, Inserm, EHESP, Irset (Institut de recherche en santé environnement et travail), UMR_S 1085, Pointe-à-Pitre, France.
Pascal GuénelInserm, CESP, Univ. Paris-Saclay, UVSQ, Villejuif, France.ORCID 0000-0002-8359-518X
Isabelle StückerInserm, CESP, Univ. Paris-Saclay, UVSQ, Villejuif, France.
Cécile Proust-LimaUniv. Bordeaux, Inserm, Bordeaux Population Health Research Center, UMR 1219, Bordeaux, France.ORCID 0000-0002-9884-955X
Karen LeffondréUniv. Bordeaux, Inserm, Bordeaux Population Health Research Center, UMR 1219, Bordeaux, France.
Université de Bordeaux · FRInserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantifying the association between lifetime exposures and the risk of developing a chronic disease is a recurrent challenge in epidemiology. Individual exposure trajectories are often heterogeneous and studying their associations with the risk of disease is not straightforward. We propose to use a latent class mixed model (LCMM) to identify profiles (latent classes) of exposure trajectories and estimate their association with the risk of disease. The methodology is applied to study the association between lifetime trajectories of smoking or occupational exposure to asbestos and the risk of lung cancer in males of the ICARE population-based case-control study. Asbestos exposure was assessed using a job exposure matrix. The classes of exposure trajectories were identified using two separate LCMM for smoking and asbestos, and the association between the identified classes and the risk of lung cancer was estimated in a second stage using weighted logistic regression and all subjects. A total of 2026/2610 cases/controls had complete information on both smoking and asbestos exposure, including 1938/1837 cases/controls ever smokers, and 1417/1520 cases/controls ever exposed to asbestos. The LCMM identified four latent classes of smoking trajectories which had different risks of lung cancer, all much stronger than never smokers. The most frequent class had moderate constant intensity over lifetime while the three others had either long-term, distant or recent high intensity. The latter had the strongest risk of lung cancer. We identified five classes of asbestos exposure trajectories which all had higher risk of lung cancer compared to men never occupationally exposed to asbestos, whatever the dose and the timing of exposure. The proposed approach opens new perspectives for the analyses of dose-time-response relationships between protracted exposures and the risk of developing a chronic disease, by providing a complete picture of exposure history in terms of intensity, duration, and timing of exposure.

Indexed as

AdultAgedAsbestosChronic DiseaseFemaleHumansLung NeoplasmsMaleMiddle AgedOccupational ExposureRisk FactorsSmokingAsbestos

Identifiers

PMID32785269
PMCPMC7423115
OpenAlexW3048591444

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.