Reply to the letter to the editor Lissowska J, Brinton LA, Zatonski W, Blair A, Bardin‐Mikolajczak A, Peplonska B, Sherman ME, Szeszenia‐Dabrowska N, Chanock S, García‐Closas M. Tobacco smoking, NAT2 acetylation genotype and breast cancer risk. Lissowska et al. (Int J Cancer 2006; 119:1961–69). More evidence for passive and active smoking and breast cancer risk among younger women
Notice bibliographique
Résumé
Dear Sir, Lissowska et al. are to be congratulated on collecting lifetime residential and workplace exposure to secondhand smoke for their analysis of passive and active smoking and breast cancer in Poland.1 The report adds to the mounting evidence that active smoking is associated with increased breast cancer risk in younger/premenopausal women,2 (Table 6 in that review) as well as a more general trend toward studies observing increased breast cancer risk associated with smoking including 3 large American cohort studies,3, 4, 5 a large Canadian cohort study,6 two European cohorts7, 8 and studies that have controlled for passive smoking.9 Although the authors conclude that the “data indicate that passive smoking is not associated with breast cancer risk”, they present passive smoking breast cancer risk estimates of 1.28 (95% confidence interval (CI) 0.52–3.11) and 1.27 (95% CI 0.76–2.11) for women aged less than 45 and 45–55, respectively. The estimates are not statistically significant, however they are consistent with results for younger women from three recently published meta-analyses, which found elevated passive smoking summary risk estimates: 2 based on 14 studies of younger, primarily premenopausal women (1.68 (95% CI 1.33–2.12)),9, 10 (Figure 1) and most recently the estimate in the US Surgeon General's 2006 report based on 11 studies of premenopausal women (1.64 (95%CI 1.25–2.14)) (Table 7–10)10 Furthermore, Lissowska et al.'s passive smoking results among older women were also consistent with these meta-analyses—both finding little indication of increased risk for all exposed postmenopausal women.9, 10, 10 Finally, the negative conclusion of the authors is based on very low power in the critical younger age groups. Summary of 14 studies of breast cancer risk associated with passive smoking in younger/premenopausal women 9,10 and Lissowska et al. 1 for age <45 and age 45–55. The passive smoking dose-response analysis presented in the report is inadequate because it only examined risks among all-aged women combined. For women over age 55 the passive risk point estimate was only 1.04, 60% of the passively exposed women were in this age group and these older women likely dominated the highest cumulative exposure category given they have had the longest time period to accumulate exposure. The authors have provided dose-response analyses by age group for active smoking—the same is warranted for passive smoking given the difference in risk estimates by age group. Even though the power would be low, it would be informative for the authors to present tables of breast cancer risk for tertiles of hours/day-years of passive exposure for never active smokers for each of the following categorizations: (i) women under 45; (ii) women 45–55 years; (iii) women under 45 and 45–55 combined given the passive risk estimates were similar for under <45 and 45–55, and to help stabilize risk estimates; (iv) premenopausal women, (the report states that the age groupings were chosen to approximate pre, peri and post menopausal status—why not use menopausal status itself as well, given that it was collected); and (v) for women under 50, as the risk from the passive and active analysis suggests the risks are concentrated in younger women as do meta-analyses. Analyses which collapse the least exposed tertile of passively-exposed women with the never exposed would also help to stabilize risks, but at the expense of some misclassification. Presentation of these analyses would provide a more complete picture of this important work. Yours sincerely, Kenneth C Johnson Ph.D.*, * Evidence and Risk Assessment Division, Centre for Chronic Disease Prevention and Control Public Health Agency of Canada, Ottawa, ON, Canada.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,004 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».