Analysis of Research Trends in Cleft Lip and Palate: A Topic Modeling Study.

Abstract

ObjectiveThe objective of this study was to systematically analyze the cleft lip and/or palate (CL/P) literature published between 2000 and 2025 to identify dominant research themes, temporal trends, and potential gaps by applying a natural language processing-based topic modeling approach.DesignWe analyzed articles retrieved from the Scopus database and identified thematic clusters using the BERTopic algorithm, which integrates BERT embeddings, Uniform Manifold Approximation and Projection dimensionality reduction, and Hierarchical Density-Based Spatial Clustering of Applications with Noise clustering.SettingThis study exclusively examined articles related to CL/P.Patients/ParticipantsThis study involved no patients or participants.InterventionsNot applicable as this is a BERTopic-based analysis.Main Outcome MeasuresOutcomes included identifying dominant research topics, trend analysis, distribution across countries and journals, and classifying topics as "hot" or "cold" based on temporal trends.ResultsWe identified 29 thematic clusters. The most common topics included "Velopharyngeal Dysfunction and Fistula Repair," "Nonsyndromic Cleft Lip and Palate and Genetic Associations," and "Unilateral Cleft Lip and Palate and Maxillofacial Asymmetry." "Quality of Life and Psychosocial Impact in Children," "Surgical Repair Approaches," and "Presurgical Nasoalveolar Molding Techniques" emerged as "hot topics." The United States led in publication volume, while certain topics dominated in specific countries. The Cleft Palate-Craniofacial Journal published the most articles.ConclusionsThis study provides a comprehensive thematic map of CL/P research, highlighting strengths and underexplored areas. BERTopic offers an efficient, scalable method for analyzing large-scale scientific literature and identifying future research priorities.