Literature DB >> 16386820

Revisiting evidence on lung cancer and passive smoking: adjustment for publication bias by means of "trim and fill" algorithm.

Hisato Takagi1, Seishiro Sekino, Takayoshi Kato, Yukihiro Matsuno, Takuya Umemoto.   

Abstract

Meta-analyses are subject to bias because smaller or non-significant studies are less likely to be published, and most meta-analyses do not consider the effect of publication bias on their results. To assess the true risk, we revisited a famous meta-analysis including 37 studies on lung cancer and passive smoking, and adjusted for publication bias by means of the "trim and fill" algorithm. The adjusted relative risk of lung cancer in non-smokers who lived with a smoker from the 44 studies including the 7 filled ones was 1.19 (95% confidence interval 1.08-1.31, p = 0.0004), and the estimate of excess risk fell from 24 to 19%.

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Year:  2006        PMID: 16386820     DOI: 10.1016/j.lungcan.2005.11.004

Source DB:  PubMed          Journal:  Lung Cancer        ISSN: 0169-5002            Impact factor:   5.705


  2 in total

1.  Pulmonary function abnormalities in never-smoking flight attendants exposed to secondhand tobacco smoke in the aircraft cabin.

Authors:  Mehrdad Arjomandi; Thaddeus Haight; Rita Redberg; Warren M Gold
Journal:  J Occup Environ Med       Date:  2009-06       Impact factor: 2.162

2.  Measuring and Validating a General Cancer Predisposition Perception Scale: An Adaptation of the Revised-IPQ-Genetic Predisposition Scale.

Authors:  Wendy Wing Tak Lam; Qiuyan Liao; Jennifer Hiu Fai Wong; Ching Lung Lai; Man Fung Yuen; Janice Wing Hang Tsang; Richard Fielding
Journal:  PLoS One       Date:  2015-11-11       Impact factor: 3.240

  2 in total

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