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BACKGROUND: This study aims to conduct a bibliometric analysis of the current literature related to facial feminization surgery (FFS) and facial masculinization surgery (FMS) to understand the patterns, trends, and evolution of research topics. In addition, it aims to objectively identify the important articles that constitute the primary backbone of the FFS/FMS literature and provide a resource for education and new studies in this emerging field. RESULTS: Using the principles of the Leiden Manifesto, 384 publications from the Web of Science from 1987 to 2023 were analyzed. The analysis included cross-country collaboration, keyword trends, affiliations, co-citation networks, and clustering. The results showed an increasing trend in FFS/FMS publications, with the USA leading in both publications (n = 238) and citations (n = 2420). The most cited journal was the Journal of Plastic and Reconstructive Surgery. The results indicate a high growth rate, with an H-index of 34 and an average citation of 11.41 per article. Co-occurrence analysis revealed evolving keywords such as "forehead" (n = 52) and "quality of life" (n = 44). The timeline view illustrated the terms reflecting current areas of interest such as #patient satisfaction and #gender-affirming care. CONCLUSION: The study reveals the influence of countries, institutions, authors, and emerging trends, supporting the anticipation that FFS/FMS will be a critical field of study in the future. The findings contribute to understanding the global landscape of FFS/FMS research, facilitating informed decision-making for researchers, and clinicians in the field of maxillofacial surgery.
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BACKGROUND: The rapid adoption of artificial intelligence (AI) models in the medical field is due to their ability to collaborate with clinicians in the diagnosis and management of a wide range of conditions. This research assesses the diagnostic accuracy and therapeutic strategies of Chat Generative Pre-trained Transformer (ChatGPT) in comparison to dental professionals across 12 clinical cases. METHODOLOGY: ChatGPT 3.5 was queried for diagnoses and management plans for 12 retrospective cases. Physicians were tasked with rating the complexity of clinical scenarios and their agreement with the ChatGPT responses using a five-point Likert scale. Comparisons were made between the complexity of the cases and the accuracy of the diagnoses and treatment plans. RESULTS: ChatGPT exhibited high accuracy in providing differential diagnoses and acceptable treatment plans. In a survey involving 30 attending physicians, scenarios were rated with an overall median difficulty level of 3, showing acceptable agreement with ChatGPT's differential diagnosis accuracy (overall median 4). Our study revealed lower diagnosis scores correlating with decreased treatment management scores, as demonstrated by univariate ordinal regression analysis. CONCLUSIONS: ChatGPT's rapid processing aids healthcare by offering an objective, evidence-based approach, reducing human error and workload. However, potential biases may affect outcomes and challenge less-experienced practitioners. AI in healthcare, including ChatGPT, is still evolving, and further research is needed to understand its full potential in analyzing clinical information, establishing diagnoses, and suggesting treatments.
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OBJECTIVES: This study examined the impact of injectable platelet-rich fibrin (iPRF) and concentrated growth factor on postoperative pain, edema, trismus, and quality of life in impacted mandibular third molar surgery. The primary aim of this study was to minimize common sequelae following third molar surgery by using iPRF and concentrated growth factor. The secondary objective was to compare the postoperative effects of these products. METHOD AND MATERIALS: This study represents a single-center, randomized prospective clinical trial conducted at the Ordu University Faculty of Dentistry. It involved patients who underwent third molar surgery for various reasons between July and October 2022. The predictor variables were the use of concentrated growth factor and i-PRF. They were categorized as concentrated growth factor, i-PRF, and control groups. The outcome variables include pain levels and analgesic consumption measured on a visual analog scale, distances between predetermined anatomical points, maximum mouth opening capacity, and data from the postoperative symptom severity (PoSSe) scale. Some statistical tests were performed with a 95% confidence interval, which was considered significant. RESULTS: Total analgesic use was notably lower in the concentrated growth factor group (P = .044). Concentrated growth factor and iPRF outperformed the control group in all edema measurements by postoperative day 7 (tragus-pogonion, lateral canthus-angulus, tragus-commissura; P < .05). Concentrated growth factor significantly reduced trismus on days 2 and 7. Quality of life was notably higher in the concentrated growth factor group than in the control group (P = .026), although iPRF group differences were not significant. CONCLUSION: The results indicate that concentrated growth factor has a limited impact on postoperative pain, but significantly reduces edema, trismus, and enhances quality of life. The iPRF group experienced positive effects on pain, edema, and trismus, although the statistically significant differences observed with concentrated growth factor highlight its potential for use instead of iPRF after third molar surgery. An increased sample size is essential for more comprehensive results.