Evidence map›Paper›PMID 37555433›Full record

ArticleDevelopmental neuropsychology2023

Longitudinal Predictors of Neurodevelopmental Outcomes in Children with Down Syndrome.

Deborah J Fidler, Kaylyn Van Deusen, Mark A Prince, Emily K Schworer, Nancy R Lee, Jamie O Edgin, Lina R Patel, Lisa A Daunhauer

Abstract read
In one paragraph

Article in Developmental neuropsychology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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

8 authors.

Deborah J FidlerDepartment of Human Development and Family Studies, Colorado State University, Fort Collins, Colorado, USA.
Kaylyn Van DeusenDepartment of Human Development and Family Studies, Colorado State University, Fort Collins, Colorado, USA.
Mark A PrinceDepartment of Psychology, Colorado State University, Fort Collins, Colorado, USA.
Emily K SchworerWaisman Center, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Nancy R LeeDepartment of Psychological and Brain Sciences, Drexel University, Philadelphia, Pennsylvania, USA.
Jamie O EdginDepartment of Psychology, University of Arizona, Tucson, Arizona, USA.
Lina R PatelDepartment of Psychiatry, Children's Hospital Colorado, Aurora, Colorado, USA.
Lisa A DaunhauerDepartment of Human Development and Family Studies, Colorado State University, Fort Collins, Colorado, USA.ORCID 0000-0001-7339-1012

Funding

Executive Function Outcome Measures for Young Children with Down SyndromeR01HD099150 · NICHD · COLORADO STATE UNIVERSITY · PI DEBORAH J FIDLER · 2019 to 2026
$4.7M
Early risk for ADHD symptoms in young children with Down syndromeR21HD101000 · NICHD · COLORADO STATE UNIVERSITY · PI FIDLER, DEBORAH J · 2019 to 2020
$433k
NICHD NIH HHS R01 HD099150NICHD NIH HHS R21 HD101000
6 · The paper itself

Abstract

This study examined longitudinal predictors of neurodevelopmental outcomes in children with Down syndrome (DS). Participants were assessed at Wave 1 during infancy on measures of looking behavior and caregivers provided infant sensory ratings. At Wave 2, child-age participants completed a developmental assessment and caregivers provided ratings of executive function, ADHD symptoms, and autism symptoms. Longer looking durations and greater sensory dysregulation during infancy were predictive of higher ADHD symptom ratings and other neurodevelopmental outcomes during childhood. The findings suggest that early indicators of neurodevelopmental dysregulation may be detectable during infancy in DS.

Indexed as

Attention Deficit Disorder with HyperactivityDown SyndromeExecutive FunctionHumansInfant

Identifiers

PMID37555433
PMCPMC10530357

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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.