Evidence map›Paper›PMID 36209602›Full record

ArticleEarly human development2022

Motor Optimality Scores are significantly lower in a population of high-risk infants than in infants born moderate-late preterm.

Colleen Peyton, Ryan Millman, Sarah Rodriguez, Lynn Boswell, Meg Naber, Alicia Spittle, RayeAnn de Regnier, Vanessa Maziero Barbosa, Theresa Sukal-Moulton

Open access · greenAbstract read
In one paragraph

Article in Early human development, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
4.9field-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

10 citing papers in PubMed, 14 citations in OpenAlex.

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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

9 authors at 6 institutions in 2 countries.

Colleen PeytonDepartment of Physical Therapy and Human Movement Sciences, Feinberg School of Medicine, Northwestern University, 645 N Michigan Ave, Suite 1100, Chicago, IL 60611, USA; Department of Pediatrics, Feinberg School of Medicine, Northwestern University, 645 N Michigan Ave, Suite 1100, Chicago, IL 60611, USA. Electronic address: colleen.peyton1@northwestern.edu.
Ryan MillmanDepartment of Physical Therapy and Human Movement Sciences, Feinberg School of Medicine, Northwestern University, 645 N Michigan Ave, Suite 1100, Chicago, IL 60611, USA.
Sarah RodriguezDepartment of Ophthalmology and Visual Science, University of Chicago, 5841 S. Maryland Ave, Chicago, IL 60637, USA.
Lynn BoswellAnn and Robert H Lurie Children's Hospital, 225 E Chicago Ave, Chicago, IL 60611, USA.
Meg NaberLoyola University Medical Center, 2160 S. 1st Ave, Maywood, IL 60153, USA.
Alicia SpittleVictorian Infant Brain Studies (VIBeS), Murdoch Children's Research Institute, 50 Flemington Rd, Parkville, VIC 3052, Australia.
RayeAnn de RegnierDepartment of Pediatrics, Feinberg School of Medicine, Northwestern University, 645 N Michigan Ave, Suite 1100, Chicago, IL 60611, USA; Ann and Robert H Lurie Children's Hospital, 225 E Chicago Ave, Chicago, IL 60611, USA.
Vanessa Maziero BarbosaUniversity of Illinois Health, 1740 W Taylor St, Chicago, IL 60612, USA.
Theresa Sukal-MoultonDepartment of Physical Therapy and Human Movement Sciences, Feinberg School of Medicine, Northwestern University, 645 N Michigan Ave, Suite 1100, Chicago, IL 60611, USA; Department of Pediatrics, Feinberg School of Medicine, Northwestern University, 645 N Michigan Ave, Suite 1100, Chicago, IL 60611, USA.
Loyola University Medical Center · USLurie Children's Hospital · USMurdoch Children's Research Institute · AUNorthwestern University · USUniversity of Chicago · USUniversity of Illinois Chicago · US

Funding

Northwestern University Clinical and Translational Science Institute (NUCATS)KL2TR001424 · NCATS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI SHARMA, LEENA · 2015 to 2023
$8.1M
NCATS NIH HHS KL2 TR001424
6 · The paper itself

Abstract

backgroundThe Motor Optimality Score-Revised (MOS-R) is a detailed scoring of the General Movement Assessment (GMA), measuring the spontaneous behaviors of infants. Infants born moderate-late preterm are not traditionally followed in high-risk clinics, but have increased risk of neurodevelopmental disability.

aimsCompare MOS-R at 3 months corrected age (CA) in high-risk (HR; very preterm or abnormal neuroimaging) infants to infants born moderate-late preterm (MLP). STUDY

designIn this prospective cohort study, parents of enrolled infants created video recordings using an app at 3 months CA. Videos were scored with the General Movement Assessment (GMA) and MOS-R. MOS-R scores were divided into "higher-risk" (≤19) and "lower-risk" (≥20). SUBJECTS: 181 infants born MLP or categorized as HR.

resultsAmong enrolled infants, 68 (38 %) were in the MLP group, and 113 infants were in the HR group. The HR group had 3.8 increased odds of having an aberrant GMA score compared to the MLP group (p < 0.01, 95 % CI 1.38-10.52). The HR group had significantly lower MOS-R scores (mean 20) than the MLP group (mean 24; p < 0.001; 95%CI 3.3-7.3). The HR group had 11.2 increased odds of having a higher-risk MOS-R score (95%CI 2.5-47.6, p < 0.001) than MLP group. Infants were most likely to have a lower MOS-R score if they had any of the following: VP shunt placement, periventricular leukomalacia, or bronchopulmonary dysplasia.

conclusionsAberrant GMA and higher-risk MOS-R scores were more common in infants at high-risk, reflecting history of brain lesions and younger gestational age at birth.

Indexed as

MovementParturitionFemaleGestational AgeHumansInfantInfant, NewbornPregnancyProspective StudiesVideo RecordingGeneral movement assessmentHigh-risk infantsModerate-late preterm birthMotor optimality

Identifiers

PMID36209602
PMCPMC10243476
OpenAlexW4298625028

What OpenQuestion holds

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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.