Oral submucous fibrosis (OSF) is a chronic progressive condition affecting the oral cavity, oropharynx and upper third of the oesophagus. It is a potentially malignant disorder. The authors collated and analysed the existing literature to establish the overall malignant transformation rate (MTR). A retrospective analysis of medical and dental scientific literature using online indexed databases was conducted for the period 1956 to 2021. The quality of the enrolled studies was assessed by the Newcastle-Ottawa Scale (NOS). A meta-analysis using a random effects model of a single proportion was performed along with statistical tests for heterogeneity. The overall proportion of malignancy across all studies was 0.06 (95% CI, 0.02–0.10), indicating an overall 6% risk of malignant transformation across all studies and cohorts. Sub-group analyses revealed strong differences in proportion of malignancy according to ethnicity/cohort; Chinese = 0.02 (95% CI 0.01–0.02), Taiwanese = 0.06 (95% CI, 0.03–0.10), Indian = 0.08 (95% CI, 0.03–0.14) and Pakistani = 0.27 (95% CI 0.25–0.29). Overall, the MTR was 6%; however, wide heterogeneity of the included studies was noted. Geographic variations in MTR were noted but were not statistically significant. Further studies are required to analyse the difference between cohort groups.

Treatment of refractory/relapsed cutaneous T-cell lymphoma (CTCL) remains controversial, most studies included a few patients with a short follow-up. Previously, we performed two small studies employing interferon alpha 2b (IFN) combined with low doses of methotrexate (MTX) or retinoids. Thus, we conducted an open-label clinical trial to assess the benefit and toxicity of the two mentioned regimens in a large number of patients with a longer follow-up of the treatment of refractory/relapsed CTCL. Three-hundred and seventy-seven patients with refractory/relapsed, pathologically confirmed, CTCL, with advanced stages and at least treated with two previous effective regimens in CTCL, were randomized to receive IFN and low doses of MTX compared with IFN and all trans-retinoid acid during 6 months; if a complete response (CR) was not achieved, treatment was continued until 12 months in both arms. At this time, if patient achieves CR, MTX or retinoid was stopped, and the patient continues to receive IFN until progression disease or toxicity. One-hundred and eight patients received IFN for more than 5 years. Toxicity was minimal and well tolerated, no patients needed to modify the administration of IFN secondary to toxicity. The overall complete response was achieved 80% in both arms. Actuarial curves at 5 years showed that progression-free survival was 60% in the IFN/MTX group and 62% in the IFN/retinoids group (P = 0.8) that were not statistically different and overall survival (OS) rates were 70 and 67%, respectively (P = 0.03). Both present schedules showed good tolerance and an excellent OS at 5 years, which is better than the other, more expensive and toxic, regimens. Considering the indolent course of CTCL, we suggested that those regimens, mentioned in this paper, will be regarded as the standard therapy, for patients of this setting. The use of IFN and retinoids or low dose of cytotoxic drugs will be preferred in patients with refractory/relapse CTCL, because OS is good and toxicity is minimal.

Studies have been conducted on the content and quality of Web-based information for patients who are interested in smoking cessation advice and for health care practitioners regarding the content of e-learning programs about tobacco cessation. However, to the best of our knowledge, there is no such information about the quality of Web-based learning resources regarding smoking cessation dedicated to oral health professionals. The aim of this study was to identify and evaluate the quality of the content of webpages providing information about smoking cessation for oral health care professionals. Websites were identified using Google and Health on Net (HON) search engines using the terms: smoking cessation OR quit smoking OR stop smoking OR 3As OR 5As OR tobacco counselling AND dentistry OR dental clinic OR dentist OR dental hygienist OR oral health professionals. The first 100 consecutive results of the 2 search engines were considered for the study. Quality assessment was rated using the DISCERN questionnaire, the Journal of the American Medical Association (JAMA) benchmarks, and the HON seal. In addition, smoking cessation content on each site was assessed using an abbreviated version of the Smoke Treatment Scale (STS-C) and the Smoking Treatment Scale-Rating (STS-R). To assess legibility of the selected websites, the Flesch Reading Ease (FRES) and the Flesch-Kinkaid Reading Grade Level (FKRGL) were used. Websites were also classified into multimedia and nonmultimedia and friendly and nonfriendly usability. Of the first 200 sites selected (100 of Google and 100 of HON), only 11 met the inclusion criteria and mainly belonged to governmental institutions (n=8), with the others being prepared by Professional Associations (n=2) and nonprofit organizations (n=1). Only 3 were exclusively dedicated to smoking cessation. The average score obtained with the DISCERN was 3.0, and the average score in the FKRGL and FRES was 13.31 (standard deviation, SD 3.34) and 40.73 (SD 15.46), respectively. Of the 11 websites evaluated, none achieved all the four JAMA benchmarks. The mean score of STS-R among all the websites was 2.81 (SD 0.95) out of 5. A significant strong positive correlation was obtained between the DISCERN mean values and the STS-R (R=.89, P=.01). The mean quality of webpages with information for oral health care professionals about smoking cessation is low and displayed a high heterogeneity. These webpages are also difficult to read and often lack multimedia resources, which further limits their usefulness.

Background: Artificial intelligence (AI) is expected to play an increasingly important role in medicine and dentistry. While its diagnostic potential has been tested in various medical fields, limited research exists on its applications within oral medicine diagnoses using clinical images. Objective: This pilot study aimed to evaluate the diagnostic accuracy of ChatGPT, Gemini, and Copilot in identifying benign, potentially malignant, and malignant oral lesions. Methods: A cross-sectional study was conducted using clinical images from three categories: benign oromucosal conditions, oral potentially malignant disorders, and malignant oral lesions. Results: ChatGPT evaluated all images and consistently outperformed Copilot—and in some cases Gemini—across multiple diagnostic questions, with statistically significant advantages particularly in the cancer subgroup. Copilot showed the weakest performance, with high rates of missing evaluations and significantly lower proportions of correct responses in several analyses. Across both full-dataset and adjusted analyses, ChatGPT demonstrated the highest diagnostic performance overall. Diagnostic accuracy metrics for malignancy suspicion was similar for ChatGPT and Gemini. Several limitations such as sample size, lack of reproducibility testing and inability of some AI models to process images must be taken into account when interpreting the results. Conclusions: AI tools show promise but cannot yet replace clinical expertise. Further research and development are needed to improve the accuracy and applicability of AI diagnostic tools.