SwePub
Tyck till om SwePub Sök här!
Sök i SwePub databas

  Utökad sökning

Träfflista för sökning "swepub ;lar1:(umu);pers:(Riboli Elio);pers:(Chirlaque Maria Dolores);pers:(Trichopoulou Antonia);pers:(Panico Salvatore);pers:(Bueno de Mesquita H Bas);pers:(Allen Naomi);pers:(Barricarte Aurelio)"

Sökning: swepub > Umeå universitet > Riboli Elio > Chirlaque Maria Dolores > Trichopoulou Antonia > Panico Salvatore > Bueno de Mesquita H Bas > Allen Naomi > Barricarte Aurelio

  • Resultat 1-3 av 3
Sortera/gruppera träfflistan
   
NumreringReferensOmslagsbildHitta
1.
  •  
2.
  • Weikert, Cornelia, et al. (författare)
  • Lifetime and baseline alcohol intake and risk of cancer of the upper aero-digestive tract in the European prospective investigation into cancer and nutrition (EPIC) study
  • 2009
  • Ingår i: International Journal of Cancer. - Geneve : Wiley. - 0020-7136 .- 1097-0215. ; 125:2, s. 406-412
  • Tidskriftsartikel (refereegranskat)abstract
    • Recent alcohol consumption is all established risk factor for squamous cell carcinoma (SCC) or the upper aero-digestive tract. In contrast, the role or lifetime exposure to alcohol with regard to risk of SCC is not well established. Historical data oil alcohol use are available in 271,253 participants of the European Prospective Investigation into Cancer and Nutrition (EPIC). During 2,330,381 person years, 392 incident SCC cases (279 men and 113 women) were identified. Cox regression vas applied to model sex-specific associations between lifetime alcohol intake and SCC risk adjusting for potential confounders including smoking. Compared to men who drank 0.1-6.0 g/day alcohol at lifetime, the relative risks (RR) for developing SCC were significantly increased for men who drank 30.1-60.0 g/day (RR 1.65, 95% confidence interval: 1.00-2.71), 60.1-96.0 g/day (RR 2.20, 95%CI 1.23-3.95), and >96.0 g/day, (RR 4.63, 95% CI 2.52-8.48), and for former drinkers (RR 4.14, 95% CI 2.38-7.19). These risk estimates did not considerably change when baseline alcohol intake was analyzed. Compared to women who drank 0.1-6.0 g/day alcohol intake at lifetime, the RR were significantly increased for women who drank >30 g/d (RR 6.05, 95% CI 2.98-12.3). Applying similar categories, the relative risk for baseline alcohol intake was 3.26 (95%CI 1.82-5.87). We observed a stronger association between alcohol intake at lifetime and risk of SCC in women compared to men (p for interaction = 0.045). The strong dose-response relation for lifetime alcohol use underscores that alcohol is an important risk factor of SCC of the upper aero-digestive tract throughout life. (C) 2009 UICC
  •  
3.
  • Hoggart, Clive, et al. (författare)
  • A Risk Model for Lung Cancer Incidence
  • 2012
  • Ingår i: Cancer Prevention Research. - Philadelphia : American Association for Cancer Research. - 1940-6207 .- 1940-6215. ; 5:6, s. 834-846
  • Tidskriftsartikel (refereegranskat)abstract
    • Risk models for lung cancer incidence would be useful for prioritising individuals for screening and participation in clinical trials of chemoprevention. We present a risk model for lung cancer built using prospective cohort data from a general population which predicts individual incidence in a given time period.We build separate risk models for current and former smokers utilising 169,035 ever smokers from the multicentre European Prospective Investigation into Cancer and Nutrition (EPIC) and considered a model for never smokers. The data set was split into independent training and test sets. Lung cancer incidence was modelled using survival analysis, stratifying by age started smoking, and for former smokers, also smoking duration. Other risk factors considered were smoking intensity, ten occupational/environmental exposures previously implicated with lung cancer, and SNPs at two loci identified by genome-wide association studies of lung cancer. Individual risk in the test set was measured by the predicted probability of lung cancer incidence in the year preceding last follow-up time, predictive accuracy was measured by the area under the receiver operator characteristic curve (AUC).Utilising smoking information alone gave good predictive accuracy: the AUC and 95% confidence interval in ever smokers was 0.843 (0.810, 0.875), the Bach model applied to the same data gave an AUC of 0.775 (0.737, 0.813). Other risk factors had negligible effect on the AUC, including never smokers for whom prediction was poor.Our model is generalisable and straightforward to implement. Its accuracy can be attributed to its modelling of lifetime exposure to smoking.
  •  
Skapa referenser, mejla, bekava och länka
  • Resultat 1-3 av 3

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Stäng

Kopiera och spara länken för att återkomma till aktuell vy