Evidence map›Paper›PMID 29178853›Full record

ArticleBMC pulmonary medicine2017

Pleural plaques in lung cancer screening by low-dose computed tomography: prevalence, association with lung cancer and mortality.

Mario Silva, Nicola Sverzellati, Davide Colombi, Gianluca Milanese, Carlo La Vecchia, Carlotta Galeone, Alfonso Marchianò, Ugo Pastorino

Registry-linked trialAbstract read
In one paragraph

Article in BMC pulmonary medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02837809 (Early Lung Cancer Detection With Spiral Computed Tomography), which is not on this map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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.

NCT02837809 nacompletednot on this map

Early Lung Cancer Detection With Spiral Computed Tomography (CT), Positron Emission Tomography (PET) and Biomarkers: Randomized Trial in High Risk Individuals

TypeinterventionalSponsorFondazione IRCCS Istituto Nazionale dei Tumori, MilanoRan2005 to 2016Enrolled4,099ConditionsLung CancerArmsLow dose CT
3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. The radiologist's role in lung cancer screening.Translational lung cancer research · 2021
    Review
  4. Asbestos, Pleural Plaques, and Lung Cancer: Untangling the Relationships.American journal of respiratory and critical care medicine · 2020
    Article
  5. 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

8 authors.

Mario SilvaDepartment of Medicine and Surgery (DiMeC), Section of Radiology, Unit of Surgical Sciences, University of Parma, Padiglione Barbieri, Via Gramsci 14, 43126, Parma, Italy. mario.silva@unipr.it.ORCID http://orcid.org/0000-0002-2538-7032
Nicola SverzellatiDepartment of Medicine and Surgery (DiMeC), Section of Radiology, Unit of Surgical Sciences, University of Parma, Padiglione Barbieri, Via Gramsci 14, 43126, Parma, Italy.
Davide ColombiDepartment of Medicine and Surgery (DiMeC), Section of Radiology, Unit of Surgical Sciences, University of Parma, Padiglione Barbieri, Via Gramsci 14, 43126, Parma, Italy.
Gianluca MilaneseDepartment of Medicine and Surgery (DiMeC), Section of Radiology, Unit of Surgical Sciences, University of Parma, Padiglione Barbieri, Via Gramsci 14, 43126, Parma, Italy.
Carlo La VecchiaDepartment of Clinical Sciences and Community Health, University of Milan, Milan, Italy.
Carlotta GaleoneDepartment of Clinical Sciences and Community Health, University of Milan, Milan, Italy.
Alfonso MarchianòDepartment of Radiology and Radiotherapy, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Ugo PastorinoDepartment of Thoracic Surgery, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.

Funding

Association for Cancer Research (AIRC) AIRC 2004 IG 1227Association for Cancer Research (AIRC) AIRC 5xmille IG 12162Fondazione Cariplo 2004-1560Italian Ministry of Health RF 2004
6 · The paper itself

Abstract

backgroundTo report the prevalence of pleural plaques in a lung cancer screening trial by low-dose computed tomography (LDCT) and to test the association with incidence of lung cancer and mortality.

methodsThe LDCT of 2303 screenees were retrospectively reviewed with the specific aim of describing the prevalence and features of pleural plaques. Self-administered questionnaire was used to assess asbestos exposure. Frequency of lung cancer, lung cancer mortality, and overall mortality were detailed according to presence of pleural findings. Statistical analyses included comparison of mean or median, contingency tables, and Cox model for calculation of hazard ratio (HR) and its 95% confidence interval (CI).

resultsAmong male screenees, 31/1570 (2%) showed pleural abnormalities, 128/1570 (8.2%) disclosed asbestos exposure, 23/31 (74.2%) subjects with pleural plaques consistently denied exposure to asbestos. There was a trend for higher frequency of lung cancer among subjects with pleural plaques (9.7% vs 4.2%). Lung cancer in subjects with pleural plaques was always diagnosed in advanced stage. Subjects with pleural plaques showed HR 5.48 (95% CI 1.61-18.70) for mortality from lung cancer.

conclusionsPleural plaques are a risk factor for lung cancer mortality that can be detected in lung cancer screening by LDCT, also in subjects that are not aware of asbestos exposure.

trial registrationNCT02837809 - Retrospectively registered July 1, 2016 - Enrolment of first participant September 2005.

Indexed as

Early Detection of CancerAgedAsbestosHumansIncidenceItalyLung NeoplasmsMaleMiddle AgedOccupational ExposurePleural DiseasesRisk FactorsTomography, X-Ray ComputedAsbestosAsbestos exposureLung cancer screeningPleural abnormalitiesPleural plaquesPost-test refinement of individual riskSelf-disclosure of asbestos exposure

Identifiers

PMID29178853
PMCPMC5702182

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Registered trials

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.