Developmental Assessments in Preterm Children: A Meta-Analysis
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Accepted version
Author(s)
Wong, HS
Santhakumaran, S
Cowan, FM
Modi, N
Type
Journal Article
Abstract
CONTEXT: Developmental outcomes of very preterm (gestational age ≤32 weeks) or very low birth weight (<1500 g) children are commonly reported before age 3 years although the predictive validity for later outcomes are uncertain.
OBJECTIVE: To determine the validity of early developmental assessments in predicting school-age cognitive deficits.
DATA SOURCES: PubMed.
STUDY SELECTION: English-language studies reporting at least 2 serial developmental/cognitive assessments on the same population, 1 between ages 1 and 3 years and 1 at ≥5 years.
DATA EXTRACTION: For each study, we calculated the sensitivity, specificity, and positive and negative predictive values of early assessment for cognitive deficit (defined as test scores 1 SD below the population mean). Pooled meta-analytic sensitivity and specificity were estimated by using a hierarchical summary receiver operator characteristic curve.
RESULTS: We included 24 studies (n = 3133 children). Early assessments were conducted at 18 to 40 months and generally involved the Bayley Scales of Infant Development or the Griffiths Mental Development Scales; 11 different cognitive tests were used at school-age assessments at 5 to 18 years. Positive predictive values ranged from 20.0% to 88.9%, and negative predictive vales ranged from 47.8% to 95.5%. The pooled sensitivity (95% confidence interval) of early assessment for identifying school-age cognitive deficit was 55.0% (45.7%–63.9%) and specificity was 84.1% (77.5%–89.1%). Gestational age, birth weight, age at assessment, and time between assessments did not explain between-study heterogeneity.
LIMITATIONS: The accuracy of aggregated data could not be verified. Many assessment tools have been superseded by newer editions.
CONCLUSIONS: Early developmental assessment has poor sensitivity but good specificity and negative predictive value for school-age cognitive deficit.
OBJECTIVE: To determine the validity of early developmental assessments in predicting school-age cognitive deficits.
DATA SOURCES: PubMed.
STUDY SELECTION: English-language studies reporting at least 2 serial developmental/cognitive assessments on the same population, 1 between ages 1 and 3 years and 1 at ≥5 years.
DATA EXTRACTION: For each study, we calculated the sensitivity, specificity, and positive and negative predictive values of early assessment for cognitive deficit (defined as test scores 1 SD below the population mean). Pooled meta-analytic sensitivity and specificity were estimated by using a hierarchical summary receiver operator characteristic curve.
RESULTS: We included 24 studies (n = 3133 children). Early assessments were conducted at 18 to 40 months and generally involved the Bayley Scales of Infant Development or the Griffiths Mental Development Scales; 11 different cognitive tests were used at school-age assessments at 5 to 18 years. Positive predictive values ranged from 20.0% to 88.9%, and negative predictive vales ranged from 47.8% to 95.5%. The pooled sensitivity (95% confidence interval) of early assessment for identifying school-age cognitive deficit was 55.0% (45.7%–63.9%) and specificity was 84.1% (77.5%–89.1%). Gestational age, birth weight, age at assessment, and time between assessments did not explain between-study heterogeneity.
LIMITATIONS: The accuracy of aggregated data could not be verified. Many assessment tools have been superseded by newer editions.
CONCLUSIONS: Early developmental assessment has poor sensitivity but good specificity and negative predictive value for school-age cognitive deficit.
Date Issued
2016-08-01
Date Acceptance
2016-05-24
Citation
Pediatrics, 2016, 138 (2)
ISSN
0031-4005
Publisher
American Academy of Pediatrics
Journal / Book Title
Pediatrics
Volume
138
Issue
2
Copyright Statement
PEDIATRICS Vol. 138 No. 2 August 01, 2016
e20160251. Copyright © 2016 by the American Academy of Pediatrics
e20160251. Copyright © 2016 by the American Academy of Pediatrics
Subjects
Science & Technology
Life Sciences & Biomedicine
Pediatrics
LOW-BIRTH-WEIGHT
DIAGNOSTIC-TEST ACCURACY
SCHOOL-AGE
BAYLEY SCALES
FOLLOW-UP
BRONCHOPULMONARY DYSPLASIA
COGNITIVE-DEVELOPMENT
INFANT DEVELOPMENT
PREDICTIVE-VALUE
REGIONAL COHORT
Child Development
Child, Preschool
Cognition Disorders
Humans
Infant
Infant, Premature
Predictive Value of Tests
Reproducibility of Results
Medicines for Neonates Investigator Group
11 Medical And Health Sciences
17 Psychology And Cognitive Sciences
Publication Status
Published
Article Number
e20160251