Document Detail


A modified method for the epidemiological analysis of registry data on infants with multiple malformations.
MedLine Citation:
PMID:  10480699     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
BACKGROUND: Infants with multiple malformations are important in birth defect epidemiology and malformation monitoring because human teratogens have often caused complex malformations. Various methods for the analysis of multimalformed infants have been tried. METHOD: By using data from four large registries of congenital malformations, 5256 infants were identified with two or more among 73 selected malformations. Pairwise associations between malformations were detected by multiple logistic regression analyses, and putative confounders (programme, maternal age, autopsy, etc.) were controlled for. For each significant pairwise association, further analyses were performed in order to find associations with a possible third malformation. RESULTS: The importance of controlling for several confounders was demonstrated. Several well-known associations were found, which supports the technique used. The interpretation of three-way associations was discussed. Results from the present study were compared with those obtained using some other methods. CONCLUSIONS: Different confounders can cause biased associations. The method presented in the paper takes this into consideration and is therefore more likely than previously used techniques to give unbiased information on the clustering of different malformations among multimalformed infants.
Authors:
K B Källén; E E Castilla; M da Graça Dutra; P Mastroiacovo; E Robert; B A Källén
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Publication Detail:
Type:  Comparative Study; Journal Article; Multicenter Study    
Journal Detail:
Title:  International journal of epidemiology     Volume:  28     ISSN:  0300-5771     ISO Abbreviation:  Int J Epidemiol     Publication Date:  1999 Aug 
Date Detail:
Created Date:  1999-10-13     Completed Date:  1999-10-13     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  7802871     Medline TA:  Int J Epidemiol     Country:  ENGLAND    
Other Details:
Languages:  eng     Pagination:  701-10     Citation Subset:  IM    
Affiliation:
Tornblad Institute, University of Lund, Sweden. Karin.Kallen@anatom.lu.se
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MeSH Terms
Descriptor/Qualifier:
Abnormalities, Multiple / epidemiology*,  etiology
Cluster Analysis
Europe / epidemiology
Female
Fetal Death / epidemiology
Humans
Infant, Newborn
Male
Maternal Age
Odds Ratio
Registries / statistics & numerical data*
Regression Analysis
Retrospective Studies
South America / epidemiology

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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