Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
17
pubmed:dateCreated
2006-9-6
pubmed:abstractText
Risk prediction models for breast cancer can be improved by the addition of recently identified risk factors, including breast density and use of hormone therapy. We used prospective risk information to predict a diagnosis of breast cancer in a cohort of 1 million women undergoing screening mammography.
pubmed:grant
pubmed:commentsCorrections
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Sep
pubmed:issn
1460-2105
pubmed:author
pubmed:issnType
Electronic
pubmed:day
6
pubmed:volume
98
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1204-14
pubmed:dateRevised
2007-11-14
pubmed:meshHeading
pubmed-meshheading:16954473-Adult, pubmed-meshheading:16954473-Aged, pubmed-meshheading:16954473-Breast Neoplasms, pubmed-meshheading:16954473-Carcinoma, Ductal, Breast, pubmed-meshheading:16954473-Confounding Factors (Epidemiology), pubmed-meshheading:16954473-Female, pubmed-meshheading:16954473-Humans, pubmed-meshheading:16954473-Incidence, pubmed-meshheading:16954473-Logistic Models, pubmed-meshheading:16954473-Mammography, pubmed-meshheading:16954473-Mass Screening, pubmed-meshheading:16954473-Middle Aged, pubmed-meshheading:16954473-Models, Statistical, pubmed-meshheading:16954473-Multivariate Analysis, pubmed-meshheading:16954473-Odds Ratio, pubmed-meshheading:16954473-Postmenopause, pubmed-meshheading:16954473-Predictive Value of Tests, pubmed-meshheading:16954473-Premenopause, pubmed-meshheading:16954473-Prognosis, pubmed-meshheading:16954473-Prospective Studies, pubmed-meshheading:16954473-Registries, pubmed-meshheading:16954473-Risk Assessment, pubmed-meshheading:16954473-Risk Factors, pubmed-meshheading:16954473-SEER Program, pubmed-meshheading:16954473-United States
pubmed:year
2006
pubmed:articleTitle
Prospective breast cancer risk prediction model for women undergoing screening mammography.
pubmed:affiliation
Cancer Research and Biostatistics, 1730 Minor Avenue, Suite 1900, Seattle, WA 98101, USA. williamb@crab.org
pubmed:publicationType
Journal Article, Research Support, N.I.H., Extramural