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15580196
Source:
http://linkedlifedata.com/resource/pubmed/id/15580196
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Statements in which the resource exists as a subject.
Predicate
Object
rdf:type
pubmed:Citation
lifeskim:mentions
umls-concept:C0021289
,
umls-concept:C0032961
,
umls-concept:C0439230
,
umls-concept:C0449820
,
umls-concept:C0521346
,
umls-concept:C0681842
,
umls-concept:C1274040
pubmed:issue
6
pubmed:dateCreated
2004-12-6
pubmed:abstractText
To develop a model to predict which newborns >/=34 weeks gestation with respiratory distress will die or will require prolonged (>3 days) assisted ventilation.
pubmed:language
eng
pubmed:journal
http://linkedlifedata.com/resource/pubmed/journal/0375410
pubmed:citationSubset
AIM
pubmed:status
MEDLINE
pubmed:month
Dec
pubmed:issn
0022-3476
pubmed:author
pubmed-author:BotasCarlosC
,
pubmed-author:BreedEmily MEM
,
pubmed-author:EscobarGabriel JGJ
,
pubmed-author:GreeneJohn DJD
,
pubmed-author:NewmanThomas BTB
,
pubmed-author:ShaheenSusan MSM
,
pubmed-author:YoshidaCathleen KCK
,
pubmed-author:ZupancicJohnJ
pubmed:issnType
Print
pubmed:volume
145
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
754-60
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed-meshheading:15580196-Continuous Positive Airway Pressure
,
pubmed-meshheading:15580196-Extracorporeal Membrane Oxygenation
,
pubmed-meshheading:15580196-Female
,
pubmed-meshheading:15580196-Gestational Age
,
pubmed-meshheading:15580196-Humans
,
pubmed-meshheading:15580196-Infant, Newborn
,
pubmed-meshheading:15580196-Infant, Premature
,
pubmed-meshheading:15580196-Intensive Care Units, Neonatal
,
pubmed-meshheading:15580196-Male
,
pubmed-meshheading:15580196-Predictive Value of Tests
,
pubmed-meshheading:15580196-Respiratory Distress Syndrome, Newborn
,
pubmed-meshheading:15580196-Retrospective Studies
pubmed:year
2004
pubmed:articleTitle
Richardson score predicts short-term adverse respiratory outcomes in newborns >/=34 weeks gestation.
pubmed:affiliation
Kaiser Permanente Medical Care Program, Division of Research, Perinatal Research Unit, Oakland, California, USA. Gabriel.Escobar@kp.org
pubmed:publicationType
Journal Article
,
Research Support, Non-U.S. Gov't