Gelisim University, School of Health Sciences, Istanbul, Turkey.
University of Health Sciences, Gülhane Vocational School of Health, Ankara, Turkey.
Medicine (Baltimore). 2024 Aug 2;103(31):e38903. doi: 10.1097/MD.0000000000038903.
This study aims to comprehensively examine the academic development of shoulder dystocia (SD) through bibliometric and document analysis and to identify topics that can guide future research.
In this study, performance, co-citation, co-word, and document analyses were used as bibliometric analysis techniques.
The study identified 3 main themes in terms of the intellectual structure of Shoulder Dystocia (SD): "Management of SD, Risk Factors and Associated Complications," "Clinical Practices, Birth Abnormalities and Effects of Complications," and "Impact of Education, Clinical Maneuvers and Fetal Health Outcomes." Co-occurrence analysis identified 4 significant themes: "Management and Clinical Practice of SD," "Fetal Macrosomia and Risk Factors," "Obstetric Maneuvers and Brachial Plexus Injury," and "Clinical Trends and Risks in SD." Additionally, ten consolidated themes were identified as a result of thematic coding analysis.
Shoulder dystocia remains a critical component of obstetric practice. Themes such as training and simulation, risk factors, and technical and management approaches are consistently emphasized. Technological advances and studies on how machine learning techniques can be used effectively in this field reflect innovative approaches in the scientific literature. This analysis confirms that shoulder dystocia is a complex topic requiring a multidisciplinary approach and that research in this field is constantly evolving.
本研究旨在通过文献计量学和文献分析全面考察肩难产（SD）的学术发展，并确定可指导未来研究的主题。
本研究采用绩效、共引、共词和文献分析作为文献计量分析技术。
本研究确定了肩难产（SD）知识结构的 3 个主要主题：“SD 的管理、风险因素和相关并发症”、“临床实践、分娩异常和并发症的影响”以及“教育、临床操作和胎儿健康结果的影响”。共现分析确定了 4 个重要主题：“SD 的管理和临床实践”、“胎儿巨大儿和风险因素”、“产科操作和臂丛神经损伤”以及“SD 的临床趋势和风险”。此外，主题编码分析还确定了 10 个综合主题。
肩难产仍然是产科实践的一个关键组成部分。培训和模拟、风险因素以及技术和管理方法等主题一直受到强调。技术进步和关于机器学习技术如何在该领域有效应用的研究反映了科学文献中的创新方法。这项分析证实，肩难产是一个复杂的主题，需要多学科方法，并且该领域的研究在不断发展。
