Literature DB >> 16779874

Assessing the combined effect of asbestos exposure and smoking on lung cancer: a Bayesian approach.

D Wraith1, K Mengersen.   

Abstract

We review the literature on the combined association between lung cancer and two environmental exposures, asbestos exposure and smoking, and explore a Bayesian approach to assess evidence of interaction between the exposures. The meta-analysis combines separate indices of additive and multiplicative relationships and multivariate relative risk estimates. By making inferences on posterior probabilities we can explore both the form and strength of interaction. This analysis may be more informative than providing evidence to support one relation over another on the basis of statistical significance. Overall, we find evidence for a more than additive and less than multiplicative relation. Copyright (c) 2006 John Wiley & Sons, Ltd.

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 16779874     DOI: 10.1002/sim.2602

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  8 in total

1.  Chapter 6: Lung cancer in never smokers: epidemiology and risk prediction models.

Authors:  William J McCarthy; Rafael Meza; Jihyoun Jeon; Suresh H Moolgavkar
Journal:  Risk Anal       Date:  2012-07       Impact factor: 4.000

2.  Occupational exposure to asbestos and lung cancer in men: evidence from a population-based case-control study in eight Canadian provinces.

Authors:  Paul J Villeneuve; Marie-Élise Parent; Shelley A Harris; Kenneth C Johnson
Journal:  BMC Cancer       Date:  2012-12-13       Impact factor: 4.430

3.  Promotion of lung adenocarcinoma following inhalation exposure to multi-walled carbon nanotubes.

Authors:  Linda M Sargent; Dale W Porter; Lauren M Staska; Ann F Hubbs; David T Lowry; Lori Battelli; Katelyn J Siegrist; Michael L Kashon; Robert R Mercer; Alison K Bauer; Bean T Chen; Jeffrey L Salisbury; David Frazer; Walter McKinney; Michael Andrew; Shuji Tsuruoka; Morinobu Endo; Kara L Fluharty; Vince Castranova; Steven H Reynolds
Journal:  Part Fibre Toxicol       Date:  2014-01-09       Impact factor: 9.400

4.  Exposure-Response Analyses of Asbestos and Lung Cancer Subtypes in a Pooled Analysis of Case-Control Studies.

Authors:  Ann C Olsson; Roel Vermeulen; Joachim Schüz; Hans Kromhout; Beate Pesch; Susan Peters; Thomas Behrens; Lützen Portengen; Dario Mirabelli; Per Gustavsson; Benjamin Kendzia; Josue Almansa; Veronique Luzon; Jelle Vlaanderen; Isabelle Stücker; Florence Guida; Dario Consonni; Neil Caporaso; Maria Teresa Landi; John Field; Irene Brüske; Heinz-Erich Wichmann; Jack Siemiatycki; Marie-Elise Parent; Lorenzo Richiardi; Franco Merletti; Karl-Heinz Jöckel; Wolfgang Ahrens; Hermann Pohlabeln; Nils Plato; Adonina Tardón; David Zaridze; John McLaughlin; Paul Demers; Neonila Szeszenia-Dabrowska; Jolanta Lissowska; Peter Rudnai; Eleonora Fabianova; Rodica Stanescu Dumitru; Vladimir Bencko; Lenka Foretova; Vladimir Janout; Paolo Boffetta; Bas Bueno-de-Mesquita; Francesco Forastiere; Thomas Brüning; Kurt Straif
Journal:  Epidemiology       Date:  2017-03       Impact factor: 4.822

Review 5.  Practitioner review: A critical perspective on gene-environment interaction models--what impact should they have on clinical perceptions and practice?

Authors:  Marcus R Munafò; Stanley Zammit; Jonathan Flint
Journal:  J Child Psychol Psychiatry       Date:  2014-05-15       Impact factor: 8.982

6.  The latency period of mesothelioma among a cohort of British asbestos workers (1978-2005).

Authors:  G Frost
Journal:  Br J Cancer       Date:  2013-08-29       Impact factor: 7.640

7.  Pulmonary Function and CT Scan Imaging at Low-Level Occupational Exposureto Asbestos.

Authors:  Giannina Satta; Tiziana Serra; Federico Meloni; Achille Lazzarato; Alessandra Argiolas; Elisa Bosu; Antonella Coratza; Nicola Frau; Michele Lai; Luigi Isaia Lecca; Nicola Mascia; Ilaria Pilia; Veronica Piras; Giovanni Sferlazzo; Marcello Campagna; Pierluigi Cocco
Journal:  Int J Environ Res Public Health       Date:  2019-12-19       Impact factor: 3.390

8.  Identifying Lung Cancer Risk Factors in the Elderly Using Deep Neural Networks: Quantitative Analysis of Web-Based Survey Data.

Authors:  Songjing Chen; Sizhu Wu
Journal:  J Med Internet Res       Date:  2020-03-17       Impact factor: 7.076

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.