Linked Life Data

1890471

Source:http://linkedlifedata.com/resource/pubmed/id/1890471

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
2
pubmed:dateCreated
1991-10-15
pubmed:abstractText
Scoring systems to identify women at high risk for delivering low birthweight infants are used to place high-risk women into special prenatal clinics. The March of Dimes Birth Defects Foundation scoring system was evaluated to determine its sensitivity, specificity, and positive predictive value at each cutoff point between 0 and 20 for various patient profiles when conducted before 29 weeks' gestation. In the present study, 9014 singleton births in 1985 and 1986 from nine Florida county health units were reviewed. Scores of 1, 5, 10, and 20 provided a sensitivity of 0.96, 0.66, 0.26, and 0.02, a specificity of 0.05, 0.44, 0.86, and 0.99, and a positive predictive power of 8.7, 10.1, 15.9, and 21.1, respectively. Differences in the sensitivity and specificity of the scores existed among subsets in the study population classified by gravida, age, race, and urban or rural county. Overall, the applicability was restricted, and the positive predictive value appeared best if a cutoff point of 15 was used, which represented the upper 5th percentile of the population. It was concluded that a greater emphasis was needed to designate scores for specific subpopulations and to give more consideration to psychosocial factors associated with having low birthweight infants.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Jun
pubmed:issn
0743-8346
pubmed:author
pubmed:issnType
Print
pubmed:volume
11
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
130-6
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:year
1991
pubmed:articleTitle
The sensitivity and specificity of a preterm risk score for various patient populations.
pubmed:affiliation
Department of Community and Family Health, College of Public Health, University of South Florida, Tampa.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't