ArticleJournal of clinical medicine2019
The Predictive Accuracy of the General Movement Assessment for Cerebral Palsy: A Prospective, Observational Study of High-Risk Infants in a Clinical Follow-Up Setting.
Article in Journal of clinical medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 49 citations in OpenAlex.
- Development and Validation of a Deep Learning Method to Predict Cerebral Palsy From Spontaneous Movements in Infants at High Risk.JAMA network open · 2022Trial
- Prediction of outcome from MRI and general movements assessment after hypoxic-ischaemic encephalopathy in low-income and middle-income countries: data from a randomised controlled trial.Archives of disease in childhood. Fetal and neonatal edition · 2022Trial
- Standardizing early cerebral palsy detection in high-risk infants: reducing age at diagnosis through a quality improvement initiative.Journal of perinatology : official journal of the California Perinatal Association · 2026Article
- Traumatic Dental Injuries Among Individuals with Disabilities and Chronic Diseases Practicing Sports.Journal of clinical medicine · 2025Article
- Doing Everything We Can to Help Our High-Risk Newborns: A Qualitative, Lifeworld-Led Study of What Early Risk Assessment for Cerebral Palsy Means to Parents.Journal of clinical medicine · 2025Article
- Automated detection of abnormal general movements from pressure and positional information in hospitalized infants.Pediatric research · 2025Article
- The Small Step Early Intervention Program for Infants at High Risk of Cerebral Palsy: A Single-Subject Research Design Study.Journal of clinical medicine · 2024Article
- Implementation of remote general movement assessment using the in-motion instructions in a high-risk norwegian cohort.BMC pediatrics · 2024Article
- Early Neurodevelopmental Assessments for Predicting Long-Term Outcomes in Infants at High Risk of Cerebral Palsy.JAMA network open · 2024Article
- Identifying Opportunities for Early Detection of Cerebral Palsy.Children (Basel, Switzerland) · 2024Article
- Reduction in limb-movement complexity at term-equivalent age is associated with motor developmental delay in very-preterm or very-low-birth-weight infants.Scientific reports · 2024Article
- Early neurological and motor function in infants born moderate to late preterm or small for gestational age at term: a prospective cohort study.BMC pediatrics · 2023Article
- The assessment of general movements in term and late-preterm infants diagnosed with neonatal encephalopathy, as a predictive tool of cerebral palsy by 2 years of age-a scoping review.Systematic reviews · 2021Article
- In-Motion-App for remote General Movement Assessment: a multi-site observational study.BMJ open · 2021Observational
- Establishing an early identification score system for cerebral palsy based on detailed assessment of general movements.The Journal of international medical research · 2020Article
- Machine Learning of Infant Spontaneous Movements for the Early Prediction of Cerebral Palsy: A Multi-Site Cohort Study.Journal of clinical medicine · 2019Article
Corrections and comments
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Authors and funding
18 authors at 8 institutions in 2 countries.
Funding
Abstract
backgroundEarly prediction of cerebral palsy (CP) using the General Movement Assessment (GMA) during the fidgety movements (FM) period has been recommended as standard of care in high-risk infants. The aim of this study was to determine the accuracy of GMA, alone or in combination with neonatal imaging, in predicting cerebral palsy (CP).
methodsInfants with increased risk of perinatal brain injury were prospectively enrolled from 2009-2014 in this multi-center, observational study. FM were classified by two certified GMA observers blinded to the clinical history. Abnormal GMA was defined as absent or sporadic FM. CP-status was determined by clinicians unaware of GMA results.
resultsOf 450 infants enrolled, 405 had scorable video and follow-up data until at least 18-24 months. CP was confirmed in 42 (10.4%) children at mean age 3 years 1 month. Sensitivity, specificity, positive and negative predictive values, and accuracy of absent/sporadic FM for CP were 76.2, 82.4, 33.3, 96.8, and 81.7%, respectively. Only three (8.1%) of 37 infants with sporadic FM developed CP. The highest accuracy (95.3%) was achieved by a combination of absent FM and abnormal neonatal imaging.
conclusionIn infants with a broad range of neonatal risk factors, accuracy of early CP prediction was lower for GMA than previously reported but increased when combined with neonatal imaging. Sporadic FM did not predict CP in this study.
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