Linked Life Data

16517164

Source:http://linkedlifedata.com/resource/pubmed/id/16517164

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
5
pubmed:dateCreated
2006-10-18
pubmed:abstractText
Two thousand one hundred and thirty five asymptomatic invasive breast cancers detected through screening mammography were analysed to identify predictors of lymph node involvement. Multivariable analysis indicated that predictors included larger tumour diameter, an infiltrating ductal or lobular histological type, multifocal disease, a palpable lesion, and a younger age at diagnosis. An association also was found between nodal involvement and the presence of an extensive in situ component (EIC). Grade was associated with nodal involvement as a univariate predictor. It would be more accurate for screening assessment clinics to use models for predicting nodal status that were customised to their own experience rather than generic models developed in other settings that related predominantly to symptomatic cancer. These models could assist clinical decision-making on axillary node dissection and give guidance to pathologists on numbers of tissue sections to examine.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Oct
pubmed:issn
0960-9776
pubmed:author
pubmed:issnType
Print
pubmed:volume
15
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
640-8
pubmed:meshHeading
pubmed:year
2006
pubmed:articleTitle
Clinical and pathological factors predictive of lymph node status in women with screen-detected breast cancer.
pubmed:affiliation
Breast Endocrine & Surgical Oncology Unit, Royal Adelaide Hospital, Australia. grantley.gill@adelaide.edu.au
pubmed:publicationType
Journal Article, Evaluation Studies