Evidence map›Paper›PMID 33507964›Full record

ArticlePloS one2021

Perinatal determinants of growth trajectories in children born preterm.

Elizabeth A Jasper, Hyunkeun Cho, Patrick J Breheny, Wei Bao, John M Dagle, Kelli K Ryckman

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
5.3field-weighted citation impact, top 5% of its field
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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it, 19 citations in OpenAlex.

  1. Pooled it
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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 at 1 institution in 1 country.

Elizabeth A JasperDepartment of Epidemiology, University of Iowa, Iowa City, IA, United States of America.ORCID 0000-0003-2444-0951
Hyunkeun ChoDepartment of Biostatistics, University of Iowa, Iowa City, IA, United States of America.
Patrick J BrehenyDepartment of Biostatistics, University of Iowa, Iowa City, IA, United States of America.ORCID 0000-0002-0650-1119
Wei BaoDepartment of Epidemiology, University of Iowa, Iowa City, IA, United States of America.
John M DagleDepartment of Pediatrics, University of Iowa, Iowa City, IA, United States of America.
Kelli K RyckmanDepartment of Epidemiology, University of Iowa, Iowa City, IA, United States of America.
University of Iowa · US

Funding

The University of Iowa Clinical and Translational Science AwardUL1TR002537 · NCATS · UNIVERSITY OF IOWA · PI HANSEN, MARLAN R, WINOKUR, PATRICIA · 2018 to 2022
$20.0M
NCATS NIH HHS UL1 TR002537
6 · The paper itself

Abstract

backgroundA growing amount of evidence indicates in utero and early life growth has profound, long-term consequences for an individual's health throughout the life course; however, there is limited data in preterm infants, a vulnerable population at risk for growth abnormalities.

objectiveTo address the gap in knowledge concerning early growth and its determinants in preterm infants.

methodsA retrospective cohort study was performed using a population of preterm (< 37 weeks gestation) infants obtained from an electronic medical record database. Weight z-scores were acquired from discharge until roughly two years corrected age. Linear mixed effects modeling, with random slopes and intercepts, was employed to estimate growth trajectories.

resultsThirteen variables, including maternal race, hypertension during pregnancy, preeclampsia, first trimester body mass index, multiple status, gestational age, birth weight, birth length, head circumference, year of birth, length of birth hospitalization stay, total parenteral nutrition, and dextrose treatment, were significantly associated with growth rates of preterm infants in univariate analyses. A small percentage (1.32% - 2.07%) of the variation in the growth of preterm infants can be explained in a joint model of these perinatal factors. In extremely preterm infants, additional variation in growth trajectories can be explained by conditions whose risk differs by degree of prematurity. Specifically, infants with periventricular leukomalacia or retinopathy of prematurity experienced decelerated rates of growth compared to infants without such conditions.

conclusionsFactors found to influence growth over time in children born at term also affect growth of preterm infants. The strength of association and the magnitude of the effect varied by gestational age, revealing that significant heterogeneity in growth and its determinants exists within the preterm population.

Indexed as

FemaleGestational AgeHumansInfant, NewbornInfant, PrematureMaleModels, BiologicalPregnancyPremature BirthRetrospective Studies

Identifiers

PMID33507964
PMCPMC7842887
OpenAlexW3123347104

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.