Evidence map›Paper›PMID 32080336›Full record

ArticleJournal of perinatology : official journal of the California Perinatal Association2020

Neonatal morbidity and small and large size for gestation: a comparison of birthweight centiles.

Robert D Cartwright, Ngaire H Anderson, Lynn C Sadler, Jane E Harding, Lesley M E McCowan, Christopher J D McKinlay

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Article in Journal of perinatology : official journal of the California Perinatal Association, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

13 citing papers in PubMed.

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  12. Neurodevelopmental outcomes of singleton large for gestational age infants <29 weeks' gestation: a retrospective cohort study.Journal of perinatology : official journal of the California Perinatal Association · 2021
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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

6 authors.

Robert D CartwrightLiggins Institute, University of Auckland, Auckland, New Zealand.ORCID http://orcid.org/0000-0003-1277-3951
Ngaire H AndersonWaitemata District Health Board, Auckland, New Zealand.
Lynn C SadlerDepartment of Obstetrics and Gynaecology, University of Auckland, Auckland, New Zealand.
Jane E HardingLiggins Institute, University of Auckland, Auckland, New Zealand.
Lesley M E McCowanDepartment of Obstetrics and Gynaecology, University of Auckland, Auckland, New Zealand.ORCID http://orcid.org/0000-0001-9915-7873
Christopher J D McKinlayLiggins Institute, University of Auckland, Auckland, New Zealand. c.mckinlay@auckland.ac.nz.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo compare rates of small- and large-for-gestational age (SGA and LGA) neonates using four different weight centiles, and to relate these classifications to neonatal morbidity. STUDY

designNeonates born at 33-40 weeks' gestation in a multiethnic population were classified as SGA or LGA by population reference (Fenton), population standard (INTERGROWTH), fetal growth curves (WHO), and customized (GROW) centiles. Likelihood of composite morbidity was determined compared with a common appropriate-for-gestational age referent group.

resultAmong 45,505 neonates, SGA and LGA rates varied up to threefold by different centiles. Those most likely to develop neonatal morbidity were SGA or LGA on both the population reference and an alternative centile. Customized centiles identified over twice as many at-risk SGA neonates.

conclusionsCustomized centiles were most useful in identifying neonates at increased risk of morbidity, and those that were small on both customized and population reference centiles were at the highest risk.

Indexed as

Fetal DevelopmentInfant, Small for Gestational AgeBirth WeightFemaleGestational AgeHumansInfant, NewbornPregnancy

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Registered trials

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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.