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Published on: November 3, 2016
A systematic review of tests to predict cerebral palsy in young children
Margot Bosanquet1, Lisa Copeland, Robert Ware
1Department of Rehabilitation Medicine, Royal Children's Hospital, Brisbane, QLD, Australia. margot_bosanquet@health.qld.gov.au
Insights
General movements assessment (GMA) is the most accurate tool for predicting cerebral palsy (CP) in young children. Magnetic resonance imaging (MRI) and cranial ultrasound also show promise, but further research is needed for low-risk infants.
Area of Science:
- Pediatric Neurology
- Diagnostic Accuracy
- Neurodevelopmental Disorders
Background:
- Cerebral palsy (CP) diagnosis in preschool-age children relies on various predictive assessments.
- Early and accurate diagnosis is crucial for timely intervention and improved outcomes.
Purpose of the Study:
- To systematically review and evaluate the accuracy of predictive assessments for diagnosing CP in children under five years old.
- To compare the diagnostic accuracy of different investigations including general movements assessment (GMA), cranial ultrasound, MRI, and neurological examination.
Main Methods:
- A systematic literature search was conducted across six databases for studies with CP diagnosis validated after two years of age.
- Study validity was assessed using the Standards for Reporting Diagnostic Accuracy criteria.
- Meta-analysis was performed where possible to pool results from eligible studies.
Main Results:
- Nineteen studies met inclusion criteria, focusing on high-risk populations (preterm and low-birthweight infants).
- General movements assessment (GMA) demonstrated high sensitivity (98%) and specificity (91%).
- Brain MRI showed strong predictive value (sensitivity 86-100%, specificity 89-97%) at term-corrected age; cranial ultrasound was also highly specific (92%).
Conclusions:
- General movements assessment (GMA) offers the strongest evidence for predictive accuracy in diagnosing CP.
- MRI and cranial ultrasound are valuable tools, with ultrasound being readily available.
- Further research is required to determine the accuracy of these assessments in low-risk infant populations.
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 (<5 y).
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 23-41 wks) and low-birthweight infants (range 500-4350 g). 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.
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