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Association of WCRF/AICR score and individual recommendations with breast cancer risk by intrinsic tumor subtype.

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NIAID Data Ecosystem2026-03-08 收录
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https://figshare.com/articles/dataset/_Association_of_WCRF_AICR_score_and_individual_recommendations_with_breast_cancer_risk_by_intrinsic_tumor_subtype_/1417375
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1 Adjusted for total calorie intake, smoking habit, age at first delivery, education, history of breast problems, family history of BC, menopausal status, age and hospital. 2 OR and 95%CI for WRFC/AIRC score [0–4]. 3 PAF= [P F [ 6−9 ] ⋅( O R [ 6−9 ] −1 ) ]+[ PF [ 5−6 ] ⋅( O R [ 5−6 ] −1 ) ]+[PF [ 4−5 ] ⋅( O R [ 4−5 ] −1 ) ]+[ PF [ 3−4 ] ⋅( O R [ 3−4 ] −1 ) ]+[PF [ 0−3 ] ⋅( O R [ 0−3 ] −1 ) 1+[P F [ 6−9 ] ⋅( O R [ 6−9 ] −1 ) ]+[ PF [ 5−6 ] ⋅( O R [ 5−6 ] −1 ) ]+[PF [ 4−5 ] ⋅( O R [ 4−5 ] −1 ) ]+[ PF [ 3−4 ] ⋅( O R [ 3−4 ] −1 ) ]+[PF [ 0−3 ] ⋅( O R [ 0−3 ] −1 ) •100 PAF=PopulationAtributableFraction PF=Proportionofpopulationinthespecificexposurecategory OR=Oddsratiofortheespecificexposurecategory 4 Number of Controls (CO) and Cases (CA) that do not accomplish the specific recommendation. 5 OR per unit increase (recommendation met vs not met). Adjusted by total calorie intake, smoking habit, age at first delivery, education, history of breast problems, family history of BC, menopausal status, age, hospital and score excluding the recommendation under study. Association of WCRF/AICR score and individual recommendations with breast cancer risk by intrinsic tumor subtype.
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2015-05-15
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