Prevalence of Autism Spectrum Disorder in Preterm Infants: A Meta-analysis

Author:

Agrawal Sachin1,Rao Shripada C.12,Bulsara Max K.3,Patole Sanjay K.12

Affiliation:

1. Neonatal Unit, King Edward Memorial Hospital for Women and Perth Children Hospital, Nedlands, Western Australia, Australia;

2. School of Medicine, University of Western Australia, Crawley, Australia; and

3. Department of Biostatistics, Institute for Health Research, University of Notre Dame, Western Australia, Australia

Abstract

CONTEXT: Evidence is emerging that preterm infants are at risk for autism spectrum disorder (ASD). OBJECTIVES: To conduct a systematic review and meta-analysis to estimate the prevalence of ASD in preterm infants. DATA SOURCES: Medline (via PubMed and Ovid), Embase, PsycINFO, and relevant conference proceedings were searched in May 2017. STUDY SELECTION: Original studies in which researchers report on the prevalence of ASD using diagnostic tests in children born preterm were included. Studies in which researchers used only ASD screening tools were excluded. DATA EXTRACTION: Relevant data were extracted independently by 3 authors. RESULTS: Researchers in a total of 18 studies (3366 preterm infants) used ASD diagnostic tools. The median gestation, birth weight, and age at assessment were 28.0 weeks (range: 25.1–31.3 weeks), 1055 g (range: 719–1565 g), and 5.7 years (range: 1.5–21 years), respectively. Meta-analysis revealed that the overall prevalence rate for ASD was 7% (95% confidence interval: 4% to 9%). The funnel plot and Egger’s test revealed that there was probably no evidence of publication bias. LIMITATIONS: The limitations were significant heterogeneity and a lack of studies from middle- and low-income countries. CONCLUSIONS: The prevalence of ASD is significantly high in the preterm population. Adequate resources are needed to improve the outcomes of these children.

Publisher

American Academy of Pediatrics (AAP)

Subject

Pediatrics, Perinatology, and Child Health

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3