Evidence map›Paper›PMID 38580191›Full record

ArticleThe Journal of pediatrics2024

Cerebral Palsy and Motor Impairment After Extreme Prematurity: Prediction of Diagnoses at Ages 2 and 10 Years.

Timothy Marinelli, Joe X Yi, T Michael O'Shea, Robert M Joseph, Stephen R Hooper, Karl C K Kuban, Christina Sakai, Michael E Msall, Rebecca Fry, Rachana Singh and 1 more

Open access · greenAbstract read
In one paragraph

Article in The Journal of pediatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 94% 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

1 citing paper in PubMed, 0 citations in OpenAlex.

  1. Review
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

11 authors at 6 institutions in 1 country.

Timothy MarinelliDepartment of Pediatrics, Tufts University School of Medicine, Boston, MA.
Joe X YiFrank Porter Graham Child Development Institute, The University of North Carolina at Chapel Hill, Chapel Hill, NC.
T Michael O'SheaFrank Porter Graham Child Development Institute, The University of North Carolina at Chapel Hill, Chapel Hill, NC.
Robert M JosephDepartment of Anatomy and Neurobiology, Boston University School of Medicine, Boston, MA.
Stephen R HooperFrank Porter Graham Child Development Institute, The University of North Carolina at Chapel Hill, Chapel Hill, NC.
Karl C K KubanDepartment of Pediatrics and Neurology, Boston Medical Center, Boston, MA.
Christina SakaiDepartment of Pediatrics, Massachusetts General Hospital for Children, Boston, MA.
Michael E MsallDepartment of Pediatrics, Kennedy Research Center and Comer Children's Hospital, The University of Chicago Pritzker School of Medicine, Chicago, IL.
Rebecca FryDepartment of Environmental Sciences and Engineering, Gillings School of Global Public Health, The University of North Carolina, Chapel Hill, NC.
Rachana SinghDepartment of Pediatrics, Tufts University School of Medicine, Boston, MA. Electronic address: rachana.singh1@tuftsmedicine.org.
ELGAN-ECHO Study Investigators
University of North Carolina at Chapel Hill · USTufts University · USBoston Children's Hospital · USComer Children's Hospital · USBoston Medical Center · USBoston University · US

Funding

UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Stephanie Engel · 2001 to 2026
$36.3M
Neonatal Biomarkers in Extremely Preterm Babies Predict Childhood Brain DisordersU01NS040069 · NINDS · CHILDREN'S HOSPITAL BOSTON · PI KUBAN, KARL · 2001 to 2014
$34.0M
Environment, Epigenetics, Neurodevelopment & Health of Extremely Preterm ChildrenUG3OD023348 · OD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI FRY, REBECCA, O'SHEA, MICHAEL · 2016 to 2024
$7.4M
NIEHS NIH HHS P30 ES010126NIH HHS UG3 OD023348NINDS NIH HHS U01 NS040069
6 · The paper itself

Abstract

objectiveTo identify perinatal factors in children born extremely preterm (EP) that were associated with motor impairment (MI) at 2 and 10 years of age and develop a predictive algorithm to estimate the risk of MI during childhood. STUDY

designParticipants of the Extremely Low Gestational Age Newborns Study (ELGANS) were classified as: no MI, MI only at 2 years, MI only at 10 years, and MI at both 2 and 10 years, based on a standardized neurological examination at 2 and the Gross Motor Function Classification System (GMFCS) at 10 years of age. Least Absolute Shrinkage and Selection Operator (LASSO) regression was used to develop the final predictive model.

resultsOf the 849 study participants, 64 (7.5%) had a diagnosis of MI at both 2 and 10 years and 63 (7.4%) had a diagnosis of MI at 1 visit but not the other. Of 22 total risk factors queried, 4 variables most reliably and accurately predicted MI: gestational age, weight z-score growth trajectory during neonatal intensive care unit (NICU) stay, ventriculomegaly, and cerebral echolucency on head ultrasound. By selecting probability thresholds of 3.5% and 7.0% at ages 2 and 10, respectively, likelihood of developing MI can be predicted with a sensitivity and specificity of 71.2%/72.1% at age 2 and 70.7%/70.7% at age 10.

conclusionIn our cohort, the diagnosis of MI at 2 years did not always predict a diagnosis of MI at 10 years. Specific risk factors are predictive of MI and can estimate an individual infant's risk at NICU discharge of MI at age 10 years.

Indexed as

Cerebral PalsyInfant, Extremely PrematureChildChild, PreschoolFemaleGestational AgeHumansInfant, NewbornMaleRisk Factorscerebral palsyextremely low gestational age newbornsextremely pretermgross motor function classification systemmotor impairment

Identifiers

PMID38580191
PMCPMC11239312
OpenAlexW4393946323

What OpenQuestion holds

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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.