A systematic review of tests to predict cerebral palsy in young children.
Margot Bosanquet,Margot Bosanquet,Margot Bosanquet,Lisa Copeland,Robert S. Ware,Robert S. Ware,Roslyn N. Boyd,Roslyn N. Boyd +7 more
TLDR
This systematic review evaluates the accuracy of predictive assessments and investigations used to assist in the diagnosis of cerebral palsy in preschool‐age children (<5y).Abstract:
Aim
This systematic review evaluates the accuracy of predictive assessments and investigations used to assist in the diagnosis of cerebral palsy (CP) in preschool-age children (<5y).
Method
Six databases were searched for studies that included a diagnosis of CP validated after 2 years of age. The validity of the studies meeting the criteria was evaluated using the Standards for Reporting Diagnostic Accuracy criteria. Where possible, results were pooled and a meta-analysis was undertaken.
Results
Nineteen out of 351 studies met the full inclusion criteria, including studies of general movements assessment (GMA), cranial ultrasound, brain magnetic resonance imaging (MRI), and neurological examination. All studies assessed high-risk populations including preterm (gestational range 23–41wks) and low-birthweight infants (range 500–4350g). Summary estimates of sensitivity and specificity of GMA were 98% (95% confidence interval [CI] 74–100%) and 91% (95% CI 83–93%) respectively; of cranial ultrasound 74% (95% CI 63–83%) and 92% (95% CI 81–96%) respectively; and of neurological examination 88% (95% CI 55–97%) and 87% (95% CI 57–97%) respectively. MRI performed at term corrected age (in preterm infants) appeared to be a strong predictor of CP, with sensitivity ranging in individual studies from 86 to 100% and specificity ranging from 89 to 97% There was inadequate evidence for the use of other predictive tools.
Summary
This review found that the assessment with the best evidence and strength for predictive accuracy is the GMA. MRI has a good predictive value when performed at term-corrected age. Cranial ultrasound is as specific as MRI and has the advantage of being readily available at the bedside. Studies to date have focused on high-risk infants. The accuracy of these tests in low-risk infants remains unclear and requires further research.read more
Citations
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Diagnostic accuracy of the Hammersmith Neonatal Neurological Examination in predicting motor outcome at 12 months for infants born very preterm
Grace T Howard,Emmah Baque,Paul B. Colditz,Mark D. Chatfield,Robert S. Ware,Roslyn N. Boyd,Joanne M. George +6 more
TL;DR: In this article , the predictive validity of the Hammersmith Neonatal Neurological Examination (HNNE) performed early (at 32 weeks postmenstrual age) and at term-equivalent age (TEA) for 12-month motor outcomes in infants born very preterm was evaluated.
Journal ArticleDOI
Magnetic resonance imaging findings and the clinical characteristics of children with cerebral palsy at a public sector hospital in Gauteng Province, South Africa
TL;DR: In this article , the authors describe the clinical characteristics, risk factors and MRI findings of children with cerebral palsy attending a developmental clinic at a tertiary hospital in South Africa; and assess possible associations between clinical characteristics and pathogenic neuro-imaging patterns.
Journal ArticleDOI
Predictors of Risk for Cerebral Palsy: A Review
TL;DR: In this paper , a comprehensive literature search was conducted using various databases to identify the earliest predictors of risk for diagnosis of cerebral palsy (CP) from conception to early infancy.
Journal ArticleDOI
Investigation of the effectiveness of family collaborative physiotherapy programs applied to high-risk infants.
TL;DR: Early physiotherapy interventions were effective in high-risk infants and FCA program was superior to NDT.
Journal ArticleDOI
El rol de la inteligencia artificial en el método de estimación de pose para el diagnóstico temprano de la parálisis cerebral infantil: avances en la medicina de diagnóstico por imagen.
TL;DR: In this article , el uso de the estimación de pose como método de visión by computadora for analizar los movimientos inquietos in niños with parálisis cerebral and se comparan estos movimients estimados with cómo se clasifican mediante algoritmos de inteligencia artificial.
References
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Journal ArticleDOI
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