Department of Obstetrics and Gynaecology, Assisted Reproduction Centre, Shengjing Hospital Affiliated to China Medical University, Shenyang, China.
Gynecology Clinic, Shenyang Jianghua Hospital, Shenyang, China.
J Obstet Gynaecol Res. 2021 May;47(5):1780-1788. doi: 10.1111/jog.14702. Epub 2021 Mar 29.
The main purpose of our study is to determine the current research status of assisted reproductive technology (ART) and birth defects by means of co-word analysis, to explore the hot spots and weak points of current research, and to provide ideas and opinions for follow-up researchers.
The PubMed database was used to investigate the knowledge structures of the applied words ART and birth defects. The published literature was searched until December 31, 2018. The extracted MeSH terms were quantified using the Bibliographic Item Co-Occurrence Matrix Builder and the high-frequency MeSH terms were determined. According to the MeSH term-source article matrix, hierarchical cluster analysis was performed using SPSS 19.0. The high frequency MeSH term co-occurrence matrix was constructed to support strategic diagram and social network analysis (SNA).
According to the search strategy, 1635 papers were included. Of all the extracted MeSH terms, 105 high frequency MeSH terms were identified and the hotspots were classified into nine categories. In the strategic diagram, research on the effects of prenatal diagnosis methods and ART on the development of offspring has been well developed. In contrast, research on reproductive ethics, epigenetics, and epidemiology is relatively immature, indicating the need for future research. For SNA results, the position status of each component is described by the center value.
By providing a quantitative bibliometric study, it can help with the overall command of the latest topic and guide researchers in their new projects.
本研究旨在通过共词分析确定辅助生殖技术（ART）与出生缺陷的研究现状，探讨当前研究的热点和薄弱环节，为后续研究人员提供思路和意见。
利用PubMed 数据库调查 ART 和出生缺陷的应用词的知识结构。检索截至 2018 年 12 月 31 日发表的文献。使用 Bibliographic Item Co-Occurrence Matrix Builder 对提取的 MeSH 术语进行量化，确定高频 MeSH 术语。根据 MeSH 术语-来源文章矩阵，使用 SPSS 19.0 进行层次聚类分析。构建高频 MeSH 术语共现矩阵以支持战略图和社会网络分析（SNA）。
根据检索策略，共纳入 1635 篇文献。在所提取的 MeSH 术语中，确定了 105 个高频 MeSH 术语，并将热点分为九个类别。在战略图中，产前诊断方法和 ART 对后代发育影响的研究已经很成熟，相比之下，生殖伦理、表观遗传学和流行病学的研究相对不成熟，表明需要进一步研究。对于 SNA 结果，通过中心值描述每个组成部分的位置状态。
通过提供定量的文献计量学研究，可以帮助全面掌握最新的主题，并指导研究人员开展新项目。
