Literature DB >> 24922168

Estimating the proportion of cases of lung cancer legally attributable to smoking: a novel approach for class actions against the tobacco industry.

Jack Siemiatycki1, Igor Karp, Marie-Pierre Sylvestre, Javier Pintos.   

Abstract

OBJECTIVES: The plaintiffs' lawyers for a class action suit, which was launched in Quebec on behalf of all patients with lung cancer whose disease was caused by cigarette smoking, asked us to estimate what proportion of lung cancer cases in Quebec, if they hypothetically could be individually evaluated, would satisfy the criterion that it is "more likely than not" that smoking caused the disease.
METHODS: The novel methodology we developed is based on the dose-response relationship between smoking and lung cancer, for which we use the pack-years as a measure of smoking, and the distribution of pack-years of smoking among cases.
RESULTS: We estimated that the amount of smoking required to satisfy the "more likely than not" criterion is between 3 and 11 pack-years. More than 90% of the Quebec cases satisfied even the most conservative of these thresholds.
CONCLUSIONS: More than 90% of cases of lung cancer in Quebec are legally attributable to smoking. The methodology enhances the ability to conduct class action suits against the tobacco industry.

Entities:  

Mesh:

Year:  2014        PMID: 24922168      PMCID: PMC4103244          DOI: 10.2105/AJPH.2014.302040

Source DB:  PubMed          Journal:  Am J Public Health        ISSN: 0090-0036            Impact factor:   9.308


  12 in total

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  7 in total

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Authors:  Ad-Hoc Committee Of The Korean Society For Preventive Medicine And The Korean Society Of Epidemiology On Tobacco Lawsuits Ad-Hoc
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Journal:  Epidemiol Health       Date:  2015-05-31

4.  Joint Statement of the Ad-hoc Committee of the Korean Society for Preventive Medicine and the Korean Society of Epidemiology on Tobacco Lawsuits on the Causal Link Between Tobacco Smoking and Lung Cancer.

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5.  Cigarette type or smoking history: Which has a greater impact on the metabolic syndrome and its components?

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Authors:  Xiaoxue Liu; Yong Yu; Minsheng Wang; Sumaira Mubarik; Fang Wang; Yafeng Wang; Runtang Meng; Chuanhua Yu
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