Blar i forfatter "Smith, Todd"

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    • Comparison of prognostic models to predict the occurrence of colorectal cancer in asymptomatic individuals: A systematic literature review and external validation in the EPIC and UK Biobank prospective cohort studies 

      Smith, Todd; Muller, David C.; Moons, Karel G.M.; Cross, Amanda J.; Johansson, Mattias; Ferrari, Pietro; Fagherazzi, Guy; Peeters, Petra H. M.; Severi, Gianluca; Hüsing, Anika; Kaaks, Rudolf; Tjønneland, Anne; Olsen, Anja; Overvad, Kim; Bonet, Catalina; Rodríguez-Barranco, Miguel; Huerta, Jose Maria; Gurrea, Aurelio Barricarte; Bradbury, Kathryn Erica; Trichopoulou, Antonia; Bamia, Christina; Orfanos, Philippos; Palli, Domenico; Pala, Valeria; Vineis, Paolo; Bueno-De-Mesquita, Bas; Ohlsson, Bodil; Harlid, Sophia; Van Guelpen, Bethany; Skeie, Guri; Weiderpass, Elisabete; Jenab, Mazda; Murphy, Neil; Riboli, Eilo; Gunter, Marc J.; Aleksandrova, Krasimira Jekova; Tzoulaki, Ioanna (Journal article; Tidsskriftartikkel; Peer reviewed, 2018-04-03)
      <i>Objective</i> - To systematically identify and validate published colorectal cancer risk prediction models that do not require invasive testing in two large population-based prospective cohorts.<p><p> <i>Design</i> - Models were identified through an update of a published systematic review and validated in the European Prospective Investigation into Cancer and Nutrition (EPIC) and the UK ...

    • Risk prediction for estrogen receptor-specific breast cancers in two large prospective cohorts 

      Li, Kuanrong; Anderson, Garnet; Viallon, Vivian; Arveux, Patrick; Kvaskoff, Marina; Fournier, Agnès; Krogh, Vittorio; Tumino, Rosario; Sánchez, María-José; Ardanaz, Eva; Chirlaque, Maria-Dolores; Agudo, Antonio; Muller, David C.; Smith, Todd; Tzoulaki, Ioanna; Key, Timothy J.; Bueno-de-Mesquita, Hendrik Bastiaan; Trichopoulou, Antonia; Bamia, Christina; Orfanos, Philippos; Kaaks, Rudolf; Hüsing, Anika; Fortner, Renée T.; Zeleniuch-Jacquotte, Anne; Sund, Malin; Dahm, Christina C; Overvad, Kim; Aune, Dagfinn; Weiderpass, Elisabete; Romieu, Isabelle; Riboli, Elio; Gunter, Marc J.; Dossus, Laure; Prentice, Ross; Ferrari, Pietro (Journal article; Tidsskriftartikkel; Peer reviewed, 2018-12-03)
      <p><i>Background</i>: Few published breast cancer (BC) risk prediction models consider the heterogeneity of predictor variables between estrogen-receptor positive (ER+) and negative (ER-) tumors. Using data from two large cohorts, we examined whether modeling this heterogeneity could improve prediction.</p> <p><i>Methods</i>: We built two models, for ER+ (Model<sub>ER+</sub>) and ER- tumors ...