《中国康复理论与实践》 ›› 2023, Vol. 29 ›› Issue (11): 1304-1315.doi: 10.3969/j.issn.1006-9771.2023.11.008

• 循证研究 • 上一篇    下一篇

近20年有关孤独症谱系障碍早期筛查工具研究的可视化分析

胡嘉铨1, 祝丽玲2, 姜志梅1,3()   

  1. 1.佳木斯大学附属第三医院,黑龙江佳木斯市 154007
    2.佳木斯大学公共卫生学院,黑龙江佳木斯市 154007
    3.佳木斯大学康复医学院,黑龙江佳木斯市 154007
  • 收稿日期:2022-08-15 修回日期:2023-09-05 出版日期:2023-11-25 发布日期:2023-11-30
  • 通讯作者: 姜志梅,女,主任医师,教授,博士生导师。E-mail: mynard93@163.com
  • 作者简介:胡嘉铨(1998-),男,汉族,安徽阜阳市人,硕士研究生,主要研究方向:儿童脑发育与行为障碍研究。
  • 基金资助:
    1.佳木斯大学优秀学科团队项目(JDXKTD-2019006);2.佳木斯大学博士专项科研基金启动项目(JMSUZB2018-03)

Early screening tools for autism spectrum disorder in the past two decades: a visualized analysis

HU Jiaquan1, ZHU Liling2, JIANG Zhimei1,3()   

  1. 1. The Third Affiliated Hospital of Jiamusi University, Jiamusi, Heilongjiang 154007, China
    2. School of Public Health, Jiamusi University, Jiamusi, Heilongjiang 154007, China
    3. School of Rebalititation Medicine, Jiamusi University, Jiamusi, Heilongjiang 154007, China
  • Received:2022-08-15 Revised:2023-09-05 Published:2023-11-25 Online:2023-11-30
  • Contact: JIANG Zhimei, E-mail: mynard93@163.com
  • Supported by:
    Jiamusi University Excellent Discipline Team Project(JDXKTD-2019006);Jiamusi University Doctoral Special Research Fund Initiation Project(JMSUZB2018-03)

摘要:

目的 分析近20年孤独症谱系障碍(ASD)领域研究热点和前沿趋势。

方法 检索Web of Science核心合集数据库2002年至2022年ASD早期筛查工具相关文献,采用CiteSpace对关键词进行聚类分析,绘制知识图谱,根据检索结果分析研究学科,并进行综合解读。

结果 共纳入研究文献115篇,近20年ASD早期筛查工具研究热度持续升高。发文量较高的研究学科主要有儿科学、神经病学和神经科学、心理学。共获得191个关键词,关键词LLR聚类分析得到11个聚类集群。

结论 附后续访谈的改良版婴幼儿孤独症筛查量表(M-CHAT-R/F)、简明版婴幼儿社交和情感评估量表(BITSEA)已进行大规模样本筛查并追踪观察效度,具有良好的心理测量特性和高临床诊断价值。开发新的ASD早期筛查工具和验证M-CHAT-R/F不同语言版本信效度及其数字化和网络化研究是当前的研究热点;ASD早期筛查工具的文化调适以及发育监测框架下的应用可能是前沿研究趋势。

关键词: 孤独症谱系障碍, 早期筛查工具, 文献计量学, 可视化分析

Abstract:

Objective To analyze the research hotspots and frontier trends in the field of early screening tools of autism spectrum disorder (ASD) over the past two decades.

Methods The literature on early screening tools for ASD was searched in Web of Science core collection database from 2002 to 2022. CiteSpace was used for cluster analysis of keywords, to draw knowledge mapping. Research disciplines were analyzed and comprehensively interpreted.

Results A total of 115 articles were included. The number of researches on early screening tools for ASD had been increasing over the past two decades. The research disciplines with higher publication volume included pediatrics, neurology and neuroscience, and psychology. A total of 191 keywords were identified, and the LLR keyword clustering analysis yielded eleven clusters.

Conclusion Modified Checklist for Autism in Toddlers, Revised with Follow-up (M-CHAT-R/F) and Brief Infant-Toddler Social and Emotional Assessment (BITSEA) have been subjected to large-scale sample screening and follow-up observation for validity, demonstrating good psychometric properties and high clinical diagnostic value. The development of new early screening tools for ASD, validation of the reliability and validity of different language versions of the M-CHAT-R/F, and research on digital and networked M-CHAT-R/F are current research hotspots. Cultural adaptation of early screening tools for ASD and their application within the developmental monitoring framework may represent frontier research trends.

Key words: autism spectrum disorder, early screening tools, bibliometrics, visualized analysis

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