Evidence map›Paper›PMID 38325862›Full record

ArticleAnnals of rehabilitation medicine2024

Predicting Age of Independent Walking in Preterm Infants: A Longitudinal Study Using Neonatal Characteristics and Motor Development Variables.

Noppharath Sangkarit, Weerasak Tapanya, Arunrat Srithawong, Patchareeya Amput, Boonsita Suwannakul

Open access · goldAbstract read
In one paragraph

Article in Annals of rehabilitation medicine, 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
1.1field-weighted citation impact, top 23% 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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Review
4 · The record

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5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Noppharath SangkaritDepartment of Physical Therapy, School of Allied Health Sciences, University of Phayao, Phayao, Thailand.
Weerasak TapanyaDepartment of Physical Therapy, School of Allied Health Sciences, University of Phayao, Phayao, Thailand.
Arunrat SrithawongDepartment of Physical Therapy, School of Allied Health Sciences, University of Phayao, Phayao, Thailand.
Patchareeya AmputDepartment of Physical Therapy, School of Allied Health Sciences, University of Phayao, Phayao, Thailand.
Boonsita SuwannakulDepartment of Physical Therapy, School of Allied Health Sciences, University of Phayao, Phayao, Thailand.
University of Phayao · TH

Funding

School of Allied Health Sciences, University of Phayao AHS-RD-66002University of Phayao FF66-RIM074University of Phayao FF66-UoE009
6 · The paper itself

Abstract

objectiveTo formulate an equation estimating months to independent walking in moderate to late preterm infants based on neonatal characteristics and gross motor development from 7 months to independent walking.

methodsSixty infants born between 32 to 36 weeks were assessed using Alberta Infant Motor Scale (AIMS) for gross motor development. Neonatal characteristics were recorded at 7 months, and caregiver-reported independent walking onset. Pearson correlation analyzed age, AIMS scores, and neonatal factors. Multiple regression developed the prediction equation.

resultsThe equation for independent walking onset, which included gestational age (GA) at birth, total AIMS score at 10 months of age (10th AIMS), and birth head circumference (BHC), exhibited a strong correlation (r=0.707) and had a predictive power of 50.0%. The equation is as follows: age onset of independent walking (months)=33.157, -0.296 (GA), -0.132 (10th AIMS), -0.196 (BHC), with an estimation error of 0.631 months.

conclusionNeonatal characteristics, such as GA, 10th AIMS, and BHC, are key determinants in estimating the onset of independent walking in moderate to late preterm infants.

Indexed as

AlbertaGestational agePreterm infantsPrognosisWalking

Identifiers

PMID38325862
PMCPMC10915304
OpenAlexW4392316117

What OpenQuestion holds

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LicenceCC BY-NC
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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.