Linked Life Data

21079385

Source:http://linkedlifedata.com/resource/pubmed/id/21079385

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
2
pubmed:dateCreated
2011-3-17
pubmed:abstractText
To develop a model for prediction of small-for-gestational age (SGA) neonates in the absence of preeclampsia (PE) based on maternal factors and biophysical and biochemical markers at 11-13 weeks' gestation.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:issn
1421-9964
pubmed:author
pubmed:copyrightInfo
Copyright © 2010 S. Karger AG, Basel.
pubmed:issnType
Electronic
pubmed:volume
29
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
148-54
pubmed:meshHeading
pubmed:year
2011
pubmed:articleTitle
Prediction of small-for-gestation neonates from biophysical and biochemical markers at 11-13 weeks.
pubmed:affiliation
Harris Birthright Research Centre of Fetal Medicine, King's College Hospital, Denmark Hill, London, UK.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't