Evidence map›Paper›PMID 26450410›Full record

ArticleBMC pediatrics2015

Australian national birthweight percentiles by sex and gestational age for twins, 2001-2010.

Zhuoyang Li, Mark P Umstad, Lisa Hilder, Fenglian Xu, Elizabeth A Sullivan

Abstract read
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Article in BMC pediatrics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  7. Gordon's syndrome in pregnancy.Obstetric medicine · 2023
    Review
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  9. Observational
  10. Fetal Growth in Twin Pregnancies and the Choice of Growth Chart.Maternal-fetal medicine (Wolters Kluwer Health, Inc.) · 2022
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Zhuoyang LiFaculty of Health, University of Technology Sydney, Sydney, Australia. zhuoyang.li@uts.edu.au.
Mark P UmstadThe Royal Women's Hospital, Melbourne, Australia. umstad@bigpond.net.au.
Lisa HilderNational Perinatal Epidemiology and Statistics Units, University of New South Wales, Sydney, Australia. l.hilder@unsw.edu.au.
Fenglian XuFaculty of Health, University of Technology Sydney, Sydney, Australia. Fenglian.Xu@uts.edu.au.
Elizabeth A SullivanFaculty of Health, University of Technology Sydney, Sydney, Australia. elizabeth.sullivan@uts.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBirthweight remains one of the strongest predictors of perinatal mortality and disability. Birthweight percentiles form a reference that allows the detection of neonates at higher risk of neonatal and postneonatal morbidity. The aim of the study is to present updated national birthweight percentiles by gestational age for male and female twins born in Australia.

methodsPopulation data were extracted from the Australian National Perinatal Data Collection for twins born in Australia between 2001 and 2010. A total of 43,833 women gave birth to 87,666 twins in Australia which were included in the study analysis. Implausible birthweights were excluded using Tukey's methodology based on the interquartile range. Univariate analysis was used to examine the birthweight percentiles for liveborn twins born between 20 and 42 weeks gestation.

resultsBirthweight percentiles by gestational age were calculated for 85,925 live births (43,153 males and 42,706 females). Of these infants, 53.6% were born preterm (birth before 37 completed weeks of gestation) while 50.2% were low birthweight (<2500 g) and 8.7% were very low birthweight (<1500 g). The mean birthweight decreased from 2462 g in 2001 to 2440 g in 2010 for male twins, compared with 2485 g in 1991-94. For female twins, the mean birthweight decreased from 2375 g in 2001 to 2338 g in 2010, compared with 2382 g in 1991-94.

conclusionsThe birthweight percentiles provide clinicians and researchers with up-to-date population norms of birthweight percentiles for twins in Australia.

Indexed as

Birth WeightAge DistributionAustraliaFemaleGestational AgeHumansInfant, Low Birth WeightInfant, NewbornInfant, PrematureInfant, Very Low Birth WeightMaleReference ValuesSex DistributionTwins

Identifiers

PMID26450410
PMCPMC4599725

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.