0000000000263791

AUTHOR

Dagfinn Aune

0000-0002-4533-1722

showing 2 related works from this author

Tea Consumption and Risk of Cancer

2020

Tea is one of the most widely consumed beverages, but its association with cancer risk remains controversial and unclear. We performed an umbrella review to clarify and determine the associations between tea consumption and various types of cancer by summarizing and recalculating the existing meta-analyses. Meta-analyses of observational studies reporting associations between tea consumption and cancer risk were searched on PubMed and Embase. Associations found to be statistically significant were further classified into levels of evidence (convincing, suggestive, or weak), based on P value, between-study heterogeneity, prediction intervals, and small study effects. Sixty-four observational…

Oncologymedicine.medical_specialtyteaMedicine (miscellaneous)Review03 medical and health sciences0302 clinical medicineBreast cancerInternal medicinemedicinecancer030212 general & internal medicineLung cancerProspective cohort studyThyroid cancercancer meta-analysis oral cancer tea umbrella reviewNutrition and Dieteticsumbrella reviewbusiness.industrymeta-analysis oral cancer umbrella review Feeding Behavior Humans Incidence Observational Studies as Topic Prospective Studies Risk Factors Neoplasms TeaCanceroral cancermedicine.diseasemeta-analysis030220 oncology & carcinogenesisMeta-analysisOvarian cancerLiver cancerbusinessFood ScienceAdvances in Nutrition
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Risk prediction for estrogen receptor-specific breast cancers in two large prospective cohorts

2018

Source at https://doi.org/10.1186/s13058-018-1073-0. Licensed CC BY-NC-ND 4.0. Background: 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. Methods: We built two models, for ER+ (ModelER+) and ER- tumors (ModelER-) , respectively, in 281,330 women (51% postmenopausal at recruitment) from the European Prospective Investigation into Cancer and Nutrition cohort. Discrimination (C-statistic) and calibration (the agreement between predicted and observed tumor risks)…

OncologyHORMONE-REPLACEMENT THERAPYmedicine.medical_treatmentWHI0302 clinical medicineBreast cancerRisk FactorsEstrogen receptor030212 general & internal medicineProspective StudiesProspective cohort study2. Zero hungerIncidenceHormone replacement therapy (menopause)Middle Agedlcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogensPrognosisRisk prediction3. Good healthEuropean Prospective Investigation into Cancer and NutritionMenopausePOSTMENOPAUSAL WOMENReceptors EstrogenPLUS PROGESTIN030220 oncology & carcinogenesisCohortFemaleRisk assessmentResearch Articlemedicine.medical_specialtyMODELSAntineoplastic AgentsBreast NeoplasmsEstrògenslcsh:RC254-282Models BiologicalRisk AssessmentVALIDATIONCàncer de mamaMAMMOGRAPHY03 medical and health sciencesBreast cancerInternal medicinemedicineHumansOncology & CarcinogenesisCancer och onkologiVDP::Medical disciplines: 700::Clinical medical disciplines: 750::Oncology: 762business.industryMORTALITYKirurgiProspective cohortmedicine.diseaseEstrogenVDP::Medisinske Fag: 700::Klinisk medisinske fag: 750::Onkologi: 762Cancer and OncologySurgerybusinessEPIC1112 Oncology And CarcinogenesisBody mass indexFollow-Up StudiesBreast Cancer Research : BCR
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