Abstract:

Objective This study aims to explore the development trends, research hotspots, and future directions of smart healthcare for oral cancer through bibliometrics, providing a reference for subsequent research. Methods English literature on smart healthcare for oral cancer in Web of Science Core Collection, Scopus, and PubMed databases and Chinese literature on the same topic in the CNKI database published in 2003-2023 were retrospectively collected. Meanwhile, the evidence-based visualization and comparative analysis of the countries, institutions, authors, citation frequency, and keywords included in the literature were performed with VOSviewer 1.6.18 software. Results A total of 547 English articles and 34 Chinese documents were included. An increasing trend in publication volume, especially in recent years, was observed. Among countries, the United States was the largest contributor to the field and had close academic exchanges with other countries, whereas cross-border, cross-institutional, and cross-team cooperation was limited in China. Moreover, network structure had regional characteri-stics. In addition, the artificial intelligence-assisted diagnosis and treatment of oral cancer are a common focus of attention in domestic and foreign literature. English literature focuses on the deep exploration of new diagnostic technologies, whereas Chinese literature tends to explore the application of intelligent health care and traditional Chinese medicine network pharmacology. Conclusion The conti-nuous development of smart healthcare for oral cancer has made the research on its application in artificial intelligence-assisted diagnosis, intelligent health care, and traditional Chinese medicine pharmacology increasingly profound. Early warning screening urgently needs to become an important focus of smart healthcare for oral health.Objective　This study aimed to investigate the status of speech function in postoperative patients with oral cancer and analyze the factors affecting speech function. Methods　A total of 180 patients who were admitted Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine from December 31, 2021 to March 31, 2023 and met the inclusion criteria were selected as the study subjects. The general information and clinical data questionnaire, Speech Handicap Index (SHI), Speech Articulation Word Scale, Hospital Anxiety and Depression Scale (HADS), Family Apgar Index (FAI), and Social Support Rating Scale (SSRS) were used. Results　After oral cancer surgery, the proportion of speech disorder was 70%, and the proportion of speech articulation decreased by 61%. The results of step-by-step linear regression analysis showed that the Hospital Anxiety and Depression Scale-Depression (HADS-D; P=0.009), FAI (P=0.004), SSRS (P=0.039), and radiotherapy (P=0.019) scores entered the regression equation. The total variation in SHI score after oral cancer surgery was explained by 63.8%. T stage (P=0.001), income (P=0.007), alcohol consumption (P=0.001), tumor site (P=0.001), and SSRS (P=0.013) were included in the regression equation, accounting for 55.3% of the total variation in speech articulation after oral cancer surgery.Conclusion　More than half of the patients with postoperative oral cancer have different degrees of impaired speech function, and early prevention, assessment, and intervention for patients should be performed with subjective and objective factors.

Key words: oral cancer, postoperative, speech function, status survey, influencing factors