ArticleArchives of physical medicine and rehabilitation2020
Predictors of Walking Activity in Children and Adolescents With Myelomeningocele.
Article in Archives of physical medicine and rehabilitation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.
- Orthopedic management of myelomeningocele with a multidisciplinary approach: a systematic review of the literature.Journal of orthopaedic surgery and research · 2021Pooled it
- Effects of a Standing Program for Ambulatory Children with Myelomeningocele: A Single-Subject Design.Healthcare (Basel, Switzerland) · 2025Article
- Establishing Content Validity Evidence of the Pittsburgh Impairment Testing Tool (PITT) for Adults With Spina Bifida.Topics in spinal cord injury rehabilitation · 2022Article
- Quantitative Computed Tomography Assessment of Bone Deficits in Ambulatory Children and Adolescents with Spina Bifida: Importance of Puberty.JBMR plus · 2020Article
Corrections and comments
- Erratum issuedCorrection.2025
Authors and funding
6 authors at 5 institutions in 1 country.
Funding
Abstract
objectiveTo assess the relationship between real-world walking activity in children and adolescents with myelomeningocele (MMC) and gross measures of lower extremity strength, range of motion, demographics, and medical history.
designProspective study.
settingParticipants recruited in outpatient clinics; data collected in a hospital-based motion analysis laboratory and in the community.
participantsChildren and adolescents (N=52) with daily step count data available from a larger study of ambulatory children and adolescents with MMC.
interventionsNot applicable.
main outcome measureUnivariate and multivariate regression was used to assess which participant characteristics and clinical factors were related to average number of steps per day.
resultsUnivariate analysis showed a lower number of steps per day correlated with older age, male sex, higher body mass index, higher lesion level, use of assistive devices for ambulation, history of shunt placement, more television (TV) watched per week, lower hip extension and abduction strength, knee flexion strength, and ankle dorsiflexion and plantarflexion strength, and decreased knee and hip range of motion. Only assistive device usage and hours of TV watched per week remained in the final multivariate model predicting number of steps per day.
conclusionsWalking activity in children and adolescents with MMC was best predicted by assistive device use and amount of sedentary activity. Other predictors of walking activity from univariate analysis were related to assistive device use. This information can help tailor rehabilitation efforts and educate patients and families. Interventions targeting early prevention of strength loss and contractures may be important to retain or increase walking activity in children and adolescents with MMC.
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Registered trials
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.