Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/89628
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Type: Journal article
Title: Accounting for multiple births in randomised trials: a systematic review
Author: Yelland, L.
Sullivan, T.
Makrides, M.
Citation: Archives of Disease in Childhood: Fetal and Neonatal Edition, 2015; 100(2):116-120
Publisher: BMJ Publishing Group
Issue Date: 2015
ISSN: 1359-2998
1468-2052
Statement of
Responsibility: 
Lisa Nicole Yelland, Thomas Richard Sullivan, Maria Makrides
Abstract: OBJECTIVES: Multiple births are an important subgroup to consider in trials aimed at reducing preterm birth or its consequences. Including multiples results in a unique mixture of independent and clustered data, which has implications for the design, analysis and reporting of the trial. We aimed to determine how multiple births were taken into account in the design and analysis of recent trials involving preterm infants, and whether key information relevant to multiple births was reported. DESIGN: We conducted a systematic review of multicentre randomised trials involving preterm infants published between 2008 and 2013. Information relevant to multiple births was extracted. RESULTS: Of the 56 trials included in the review, 6 (11%) excluded multiples and 24 (43%) failed to indicate whether multiples were included. Among the 26 trials that reported multiples were included, only one (4%) accounted for clustering in the sample size calculations and eight (31%) took the clustering into account in the analysis of the primary outcome. Of the 20 trials that randomised infants, 12 (60%) failed to report how infants from the same birth were randomised. CONCLUSIONS: Information on multiple births is often poorly reported in trials involving preterm infants, and clustering due to multiple births is rarely taken into account. Since ignoring clustering could result in inappropriate recommendations for clinical practice, clustering should be taken into account in the design and analysis of future neonatal and perinatal trials including infants from a multiple birth.
Keywords: Evidence Based Medicine
Multiple Births
Statistics
Twins
Rights: Copyright Article author (or their employer) 2015.
DOI: 10.1136/archdischild-2014-306239
Grant ID: http://purl.org/au-research/grants/nhmrc/1052388
http://purl.org/au-research/grants/nhmrc/1061704
Appears in Collections:Aurora harvest 2
Public Health publications

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