Objective: This retrospective cross-sectional study aimed to evaluate whether patients diagnosed with Sjögren's Disease (SjD) after the COVID-19 pandemic exhibited different clinical features compared to those diagnosed before the pandemic.
Methods: A total of 24 medical records from the Oral Medicine Service of Araraquara dental school - UNESP were analyzed. Patients were diagnosed according to ACR/EULAR criteria. Fourteen patients diagnosed BETWEEN 2022 AND 2024, all with a history of COVID-19, were compared to ten patients diagnosed between 2002 and 2019. DATA on sociodemographic characteristics, systemic comorbidities, subjective symptoms, and histopathological findings were collected and statistically analyzed.
Results: An increase in the number of SjD diagnoses was observed after 2022. The post-COVID group showed a significantly higher frequency of anxiety, fatigue, memory and concentration problems, genital dryness, dysphagia, insomnia, reflux, and oral burning. No significant differences were found in objective histopathological findings between the groups.
Conclusion: These findings suggest that SARS-CoV-2 infection may be associated with an increased prevalence of subjective symptoms in patients with SjD. Further prospective studies with larger sample sizes and control groups are warranted to clarify these associations and their clinical relevance.
Objective: The Glasgow Microenvironment Score (GMS) combines the tumor stroma percentage (TSP) with the inflammatory component of the tumor microenvironment and has demonstrated prognostic significance in several malignancies. This study explored the prognostic significance of the GMS in oral squamous cell carcinoma (OSCC).
Study design: Sixty patients with OSCC were examined for Klintrup-Makinen grade (KM) and TSP, which were then merged to generate a GMS. Ki-67 immunohistochemistry was performed to assess cellular proliferation. Clinicopathological characteristics and lymph node metastases were assessed using univariate and multivariate analyses.
Results: The GMS score indicated that 27 (45%) cases were categorized as 0-KM strong, 10 (16.7%) as 1-KM weak/low TSP, and 23 (38.3%) as 2-KM weak/high TSP. A high GMS score (grade 2) was associated with the depth of invasion, increased Ki-67 index, low KM grade, and high TSP. It also showed a strong correlation with lymph node metastases and was identified as an independent prognostic indicator (OR: 22.0, CI: 2.97-163.21).
Conclusion: The GMS, a cumulative scoring system for the tumor microenvironment, can be easily evaluated on standard H and E sections without the need for additional staining. A high GMS score, marked by elevated TSP and reduced inflammatory infiltration, emerged as a robust independent predictor of lymph node metastasis.
Objectives: The objective of this systematic review and meta-analysis was to assess the effectiveness of virtual reality interventions in alleviating intraoperative pain and anxiety among adult patients undergoing oral surgical procedures.
Study design: From the database's creation until Feb 2, 2025, a thorough search was carried out across 13 electronic databases. Anxiety and pain throughout the procedure were important outcomes. The combined impacts were assessed using a random-effects model, with subgroup analyses looking into possible contributing variables. The risk of bias was evaluated using the Cochrane Risk of Bias 2 method.
Results: A total of 9 articles were eventually included in the study selection. Results of the meta-analysis reveal a statistically significant effect of virtual reality in reducing intraoperative anxiety in adults undergoing oral surgery (SMD = -0.26, 95% CI: (-0.48, -0.03), P < .05). Statistically significant effect in reducing intraoperative pain in adult oral surgery (SMD= -0.67, 95% CI: (-1.08, -0.26), P < .01).
Conclusions: This meta-analysis confirms the value of virtual reality in terms of oral surgery by distracting adult patients from intraoperative anxiety and pain. However, more high-quality, multicenter, and large-sample randomized controlled trials are needed to further assess its clinical value in the future.
Objectives: Odontogenic maxillary sinusitis remains a clinical challenge with incompletely understood recurrence patterns. This study aimed to determine the incidence of recurrence and identify associated risk factors following interdisciplinary surgical treatment involving oral and maxillofacial surgery and otorhinolaryngology.
Study design: A retrospective cohort of 203 patients treated for OMS over a 10-year period was analyzed. Data included demographic, clinical, radiological, and procedural variables. The primary outcome was OMS recurrence within 12 months after initial surgery. Univariable and multivariable analyses assessed associations between recurrence and defined risk factors.
Results: Among 203 patients (mean age 53.7 ± 18.4 years), the most common etiology was odontogenic cysts (44.3%). OMS recurrence occurred in 15.7% (n = 32) of cases. No significant association was found between recurrence and patient-specific factors (age, smoking, antiresorptive therapy, chemotherapy, sinusitis symptoms), anatomical variables (nasal septum deviation, congested maxillary sinus natural ostium), or procedural aspects (surgical removal of the intraoral cause with or without simultaneous FESS, surgical access route, multilayer soft tissue closure) (P > .05).
Conclusions: Despite a moderate recurrence rate, no significant patient-specific, anatomical, or procedure-specific predictors of recurrence were identified. These findings emphasize the importance of individualized treatment planning and interdisciplinary management. Prospective studies are needed to validate risk stratification tools for recurrence prevention in high-risk OMS patients.
Objective: This study aimed to design and validate a magnetic levitation (ML) system for distinguishing benign, dysplastic, and malignant oral epithelial cells based on density measurements, using both tissue and brush biopsy samples.
Study design: A three-phase experimental study was conducted: (1) ML system calibration using microspheres and yeast cells of known density, (2) in vitro testing with OSCC and normal human oral keratinocyte cell lines, and (3) ex vivo validation using 59 patient-derived cell samples from brush and tissue biopsies, collected at Ege University. Density measurements were evaluated using descriptive statistics, ANOVA with Tukey's tests, regression analysis, and Pearson correlations. A Gaussian mixture model was applied to estimate epithelial components in tissue samples.
Results: From 3445 individual cells (2045 tissue, 1400 brush), OSCC cells showed significantly higher densities than benign and dysplastic cells (P < .05). Tissue-derived samples demonstrated clearer separation, but brush biopsy samples also distinguished OSCC from other categories. Correlations with disease status were positive for both sample types (brush r = 0.289; tissue r = 0.169), improving after Gaussian adjustment in tissue samples (r = 0.254).
Conclusion: This proof-of-concept study demonstrates that ML can differentiate benign and malignant oral epithelial cells, with brush biopsy results comparable to tissue biopsy findings. While not a replacement for histopathology, ML may offer a rapid, noninvasive adjunct for early OSCC assessment. Larger, clinically oriented studies are needed to establish its diagnostic thresholds and practical applicability.

