Objectives: A systematic bibliometric analysis of the structure of knowledge was performed to investigate the co-word analysis, the co-citation analysis, and the social network analysis regarding complex oral sensitivity disorder (COSD).
Methods: Web of Science database from 1985 to 2018 was systematically searched to identify all relevant articles using the MeSH terms "complex oral sensitivity disorder" and all synonyms used in the literature. We included original articles, review articles, letters to the editor, and book chapters in the English language and in 27 different ISI categories of medical sciences. Several bibliometric indicators were used.
Results: The co-word analysis identified 741 KeyWords Plus (KWP) grouped into 4 different clusters. The terms "pain," "management," "prevalence," and "efficacy" reached the highest centrality, whereas the top 10 KWP had a frequency of 7%-29% in 443 articles. Over a period of 32 years, a complex thematic evolution occurred, going from 2 to 6 different themes, and the KWP migration rate from one cluster to another ranged from 11% to 100%. The co-citation network analysis based on the complete reference list (5932 references) of 443 articles identified only 2 clusters for journals, authors, and articles. The most prominent co-cited journal was "Oral Surgery Oral Medicine Oral Pathology" (centrality: 171.75), the most co-cited author was "Grushka M" (centrality: 330.95), and the most co-cited article was "Grushka M. Oral Surg Oral Med Oral Pathol (1987) 63:30-36" (centrality: 269.79). On the other hand, the direct citation network revealed that "Scala A et al, 2003" reached both the highest global citation score (GCS = 231) and local citation score (LCS = 161). Lastly, the social network analysis revealed an isolated collaboration among groups of authors, or countries or institutions. The worldwide collaboration analysis indicated that United States-Israel and United Kingdom-Italy were the most collaborative countries.
Conclusions: The structure of knowledge of publications on COSD revealed that research in this field has been dominated by few core topics and a limited collaboration among authors and institutions from different countries. More multicenter studies on COSD are warranted in the near future when launching new projects.
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http://dx.doi.org/10.1111/jop.13077 | DOI Listing |
J Dent Sci
January 2025
School of Dental Technology, College of Oral Medicine, Taipei Medical University, Taipei, Taiwan.
Background/purpose: Early osseointegration of titanium (Ti) dental implants relies on the surface topography. Surface modification of Ti seeks to enhance bone regeneration around implants. Acid etching is the simple, less technique sensitive and cost-effective technique for surface treatment.
View Article and Find Full Text PDFJ Antimicrob Chemother
January 2025
Department of Dermatology and Venereology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Background: The use of fluconazole for long-term oral candidiasis treatment in HIV/AIDS patients can potentially affect the clearance rate and antifungal efficacy of voriconazole against Talaromyces marneffei infection. We isolated two T. marneffei strains that were both resistant to fluconazole and voriconazole.
View Article and Find Full Text PDFClin Oral Investig
January 2025
Department of Oral and Maxillofacial Surgery, University Hospital RWTH Aachen, Pauwelsstraße 30, D-52074, Aachen, Germany.
Objectives: In advanced stages of osteoradionecrosis, medication-related osteonecrosis of the jaw, and osteomyelitis, a resection of sections of the mandible may be unavoidable. The determination of adequate bony resection margins is a fundamental problem because bony resection margins cannot be secured intraoperatively. Single-photon emission computed tomography (SPECT-CT) is more accurate than conventional imaging techniques in detecting inflammatory jaw pathologies.
View Article and Find Full Text PDFJ Dent
January 2025
Department of Oral & Maxillofacial Radiology, Peking University School & Hospital of Stomatology, Beijing 100081, China; National Center for Stomatology & National Clinical Research Center for Oral Diseases, Beijing 100081, China; National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, Beijing 100081, China; Beijing Key Laboratory of Digital Stomatology, Beijing 100081, China. Electronic address:
Objectives: In this study, artificial intelligence techniques were used to achieve automated diagnosis and classification of temporomandibular joint (TMJ) degenerative joint disease (DJD) on cone beam computed tomography (CBCT) images.
Methods: An AI model utilizing the YOLOv10 algorithm was trained, validated and tested on 7357 annotated and corrected oblique sagittal TMJ images (3010 images of normal condyles and 4347 images of condyles with DJD) from 1018 patients who visited Peking University School and Hospital of Stomatology for temporomandibular disorders and underwent TMJ CBCT examinations. This model could identify DJD as well as the radiographic signs of DJD, namely, erosion, osteophytes, sclerosis and subchondral cysts.
Discov Oncol
January 2025
Department of Stomatology, Hangzhou Linping District First People's Hospital, Hangzhou, China.
Objectives: This study aims to use Mendelian randomisation to identify the causal relationship between a spectrum of 41 inflammatory cytokines and the development of oropharyngeal cancer.
Methods: This study investigated genetic variants that have been associated with oral and oropharyngeal cancer using data from a large GWAS. Inflammatory cytokine data were obtained from 8293 asymptomatic individuals.
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