Editor—Hackshaw et al estimate a 26% excess risk of lung cancer (95% confidence interval 7% to 47%) in non-smokers who live with a smoker.1 This estimate may be too high.
Their adjustment for smoking misclassification bias is inadequate for two reasons. Firstly, it is based on the comparatively low misclassification rates seen in American and British populations and ignores evidence of far higher rates in Asian women (table).2–4 Secondly, it uses a new adjustment technique that takes no account of the varying relative risks from smoking in the 37 studies. Despite the fact that lung cancer has many known causes and the evidence that smoking and passive smoking are associated with higher exposure to many adverse lifestyle risk factors,5 the authors’ consideration of confounding is limited to fruit and vegetable consumption. The authors dismiss publication bias, using an argument that addresses only whether such bias might explain the whole observed association. They do not even mention recall bias, and they do not discuss implications of specific weaknesses of the studies. After their inadequate downward adjustment for bias and confounding, they adjust upwards for effects of non-spousal passive exposure to smoke. Such effects are inferred indirectly from cotinine data, and the direct evidence that exposure to smoke in the workplace, in social situation, and during childhood is not associated with risk of lung cancer is ignored.
Hackshaw et al also estimate an excess risk of 19% from passive smoking, by extrapolating from the risk in current smokers, and this may also be too high. The use of particulate matter rather than cotinine to calculate the relative exposure of passive and active smokers would reduce the excess risk estimate at least tenfold; allowance for a quadratic component to the dose-response would reduce it further.
Hackshaw et al also create a false impression of precision by using confidence limits that take no account of the many uncertainties in the adjustment procedures used, and by emphasising the similarity of their estimates of 26% and 19%. If more appropriate adjustments were used for bias and confounding and different assumptions were made in the dose-response extrapolation, both estimates could remain similar but be an order of magnitude or more lower. Indeed, bearing in mind the possibility of a zero threshold for carcinogenesis, one might even argue that the authors have not conclusively demonstrated that passive smoking has any effect on risk of lung cancer.
Table.
Rates of misclassification of smoking in Asian women
Misclassification rate | Hackshaw et al1; 6 US/UK studies | Lee2; Japanese women | Akiyama et al3; Japanese women | Wewers et al4; South East Asian women* | |
---|---|---|---|---|---|
1 | % of reported non-smokers who are current smokers on the basis of nicotine/cotinine levels† | 2.0 (33) | 8.8 (28) | 9.2 (11) | 10.9 (64) |
2 | % of all women who are current smokers but report being non-smokers | 1.5 | 7.1 | 8.1 | 10.3 |
3 | % of all ever smokers who are current smokers but report being non-smokers | 3.1 | 21.2 | 36.7 | 57.7 |
4 | % of all ever smokers who are current smokers but report never having smoked | 3.1‡ | 16.7 | 30.0 | 55.0 |
Women of Cambodian, Laotian or Vietnamese origin living in Ohio.
Urinary cotinine/creatinine >100 ng/mg in Japanese studies,2 3 saliva cotinine >14 ng/ml in Wewers et al.4
Hackshaw et al calculate misclassification rate 3 but wrongly apply it as if it were misclassification rate 4.
References
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