ArticleDevelopmental medicine and child neurology2023
Determinants of gait dystonia severity in cerebral palsy.
Article in Developmental medicine and child neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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
12 citing papers in PubMed, 17 citations in OpenAlex.
- Modeling cerebral palsy in animals.Developmental medicine and child neurology · 2026Review
- Characteristics of Cerebral Palsy in the Midwestern US.Annals of clinical and translational neurology · 2026Article
- Video-Based Data-Driven Models for Diagnosing Movement Disorders: Review and Future Directions.Movement disorders : official journal of the Movement Disorder Society · 2025Review
- Tasks for assessing dystonia in young people with cerebral palsy.medRxiv : the preprint server for health sciences · 2025Article
- Using expert-cited features to detect leg dystonia in cerebral palsy.medRxiv : the preprint server for health sciences · 2025Article
- Preterm birth is associated with dystonic features and reduced cortical parvalbumin immunoreactivity in mice.Pediatric research · 2025Article
- Local Field Potential-Based Programming for Deep Brain Stimulation in Pediatric DYT1 Dystonia.Movement disorders clinical practice · 2025Article
- Quantifying Arm and Leg Movements in 3-Month-Old Infants Using Pose Estimation: Proof of Concept.Sensors (Basel, Switzerland) · 2024Article
- Evolving understanding of CP phenotypes: the importance of dystonia.Pediatric research · 2024Article
- Mice born preterm develop gait dystonia and reduced cortical parvalbumin immunoreactivity.bioRxiv : the preprint server for biology · 2024Article
- Caregiver descriptions of dystonia in cerebral palsy.Annals of clinical and translational neurology · 2024Article
- Upper Extremity Dystonia Features in People With Spastic Cerebral Palsy.Neurology. Clinical practice · 2023Article
Corrections and comments
- Commented on by
Authors and funding
8 authors at 2 institutions in 1 country.
Funding
Abstract
aimTo determine the movement features governing expert assessment of gait dystonia severity in individuals with cerebral palsy (CP).
methodIn this prospective cohort study, three movement disorder neurologists graded lower extremity dystonia severity in gait videos of individuals with CP using a 10-point Likert-like scale. Using conventional content analysis, we determined the features experts cited when grading dystonia severity. Then, using open-source pose estimation techniques, we determined gait variable analogs of these expert-cited features correlating with their assessments of dystonia severity.
resultsExperts assessed videos from 116 participants (46 with dystonia aged 15 years [SD 3] and 70 without dystonia aged 15 years [SD 2], both groups ranging 10-20 years old and 50% male). Variable limb adduction was most commonly cited by experts when identifying dystonia, comprising 60% of expert statements. Effect on gait (regularity, stability, trajectory, speed) and dystonia amplitude were common features experts used to determine dystonia severity, comprising 19% and 13% of statements respectively. Gait variables assessing adduction variability and amplitude (inter-ankle distance variance and foot adduction amplitude) were significantly correlated with expert assessment of dystonia severity (multiple linear regression, p < 0.001).
interpretationAdduction variability and amplitude are quantifiable gait features that correlate with expert-determined gait dystonia severity in individuals with CP. Consideration of these features could help optimize and standardize the clinical assessment of gait dystonia severity in individuals with CP.
Indexed as
Identifiers
What OpenQuestion holds
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.