Bibliometric analysis of highly cited papers on oral mucosal lesions in COVID-19: Trends and impact in medical literature.

Objective: Bibliometric analysis of highly cited papers facilitates researchers in formulating strategic research possibilities and addressing gaps in specific domains. In this context, a bibliometric analysis was conducted to identify published papers on "oral mucosal lesions in COVID-19" within medical literature. Methods: A comprehensive search was performed in the Scopus database in July 2023. Relevant articles were retrieved, reviewed, and data for the bibliometric analysis was recorded. Network visualization of authors, countries, and keywords was generated using VOSviewer software. Results: The analyzed articles were published over the last three years, from 2020 to 2023, with the highest output observed in 2021. The citation count for individual papers ranged from 1 to 340, with a mean of 22.325 ± 58.93 citations. A total of 37 journals were involved in publishing papers on this topic, and five authors each contributed three papers. Notably, Brazil made the highest number of contributions with eight papers. Among the 40 papers, 19 were review papers and 16 were articles discussing various aspects of oral mucosal lesions in COVID-19 patients. Additionally, six papers were identified as systematic reviews, designated with a high level of evidence. Conclusions: This study presents a comprehensive bibliometric analysis of papers published on "oral mucosal lesions in COVID-19." The findings will assist researchers in identifying impactful papers, understanding the prevailing research trends, and guiding future research directions in this domain. The insights gained from this analysis can contribute significantly to advancing knowledge and improving patient care in this critical area of study.

Clinico-pathological and prognostic overview of metastasizing ameloblastoma: An overview of the systematic reviews.

Background: Metastasizing Ameloblastoma (MA) is an aggressive variant of ameloblastoma (AM) with the ability to metastasize without cytological malignant changes. Thus it aims to comprehensively review the clinico-pathological and prognostic aspects of MA through integration of current literature. Methods: Electronic searches were conducted in PubMed-MEDLINE, Scopus, Web of Science and Google Scholar. Two independent reviewers screened abstracts and evaluated paper eligibility. AMSTAR2 checklist was used to assessed methodological quality of included systematic reviews (SRs). Results: From 390 initial papers, 279 underwent eligibility screening, with five systematic reviews (SRs) meeting inclusion criteria. Six hundred sixty-one MA cases were found in five SRs that were included. MA predominantly affects men, exhibits mandible preference, and occurs in individuals in their fourth or fifth decade. Benign metastatic deposits commonly manifest in lungs and lymph nodes. Distant metastasis probability rises with multiple recurrences and incomplete surgical removal. Tumor recurrence and metastasis unfavorably impact clinical outcomes. Quality of evidence assessment was absent across SRs; four SRs were critically low in methodological quality. Conclusions: AM's metastatic potential lacks predictability. Early/multiple recurrences post-treatment may signal poor prognosis, warranting vigilant follow-up. Methodical analysis of each AM case is imperative to comprehend the metastatic-benign histology relationship.

Force, alternate movements, snap, suction and vibration functions of tongue are altered in oral submucous fibrosis patients.

Background: One of the most common clinical manifestations of oral submucous fibrosis (OSMF) is restricted tongue movements. However, the characterization of involvement is needed to better understand the impairment of its functioning. In the present study, force, alternate movements, snap, suction, and vibration functions of the tongue were investigated in OSMF patients. Methods: A total of 53 OSMF and 40 healthy individuals were recruited in the present study. Clinical parameters were used for the diagnosis and grading of OSMF. Alternate movements, snap, suction, vibration of the tongue and tongue force were assessed using standard methodology. Results: Out of 53 OSMF subjects, 22 (42%) were in early stages and 31 (58%) in late stages. There were statistically significant differences between the OSMF and healthy individuals for tongue functions such as protrusion, retraction, lateral movements, altered snap, suction, and tongue vibration (p < 0.00001). All of the aforementioned tongue functions were more affected in advanced stage OSMF than in early stage OSMF (p < 0.00001). Conclusion: Force, alternate movements, snap, suction and vibration functions of tongue are significantly altered in OSMF patients. The performance of the tongue movements by the OSMF subjects worsened with the disease progression.

Tumor infiltrating neutrophil microabscess in OSCC: A poorly understood histopathologic prognosticator.

OBJECTIVE: Role of neutrophils in shaping the tumor microenvironment is well known in oral squamous cell carcinoma (OSCC). However, neutrophil microabscess (NM) formation within the tumor islands is distinctive phenomenon and has never been investigated in the literature. This pilot observational study identifies the incidence of NM in OSCC and its clinicopathologic correlation as a platform for the future studies. METHODOLOGY: A retrospective study was carried out on archival specimens of 121 cases of surgically excised OSCC specimens for identification of NM formations within the tumor islands using compound microscope. Mean NM density was calculated based on the quantification done at five randomly selected hotspots. RESULTS: Out of total 121 cases of OSCC, thirteen (10.74%) cases showed a frank evidence of NM within tumor islands. The hotspot analysis showed that the NM density ranges from 2 to 7 with mean of 3.76 ± 1.39 per high power field. NM density was higher in moderately differentiated OSCC (3.76 ± 1.93) than well differentiated (3.76 ± 1.93) however the differences were not statistically significant (p = 0.165). Similarly, higher NM density was reported in advanced T stage, lymph node involvement, advanced TNM stage and lymphovascular invasion, however, the results were statistically insignificant. CONCLUSION: There is evidence of NM formation in the tumor islands of OSCC, however their exact role as a prognosticator needs further exploration with large sample size and follow-up data.

COVID-19 and oral cancer: Critical viewpoint.

The outbreak of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has marked the beginning of a new pandemic named coronavirus disease 2019 (COVID-19). The World Health Organization has announced it as a health emergency that is of international concern. The disease has been reported to cause respiratory illness, pneumonia and even hinder the immunity of an individual. Individuals with disturbed immune responses have been found to be quite susceptible to this viral infection. Oral cancer patients are also at high risk in this pandemic situation and might encounter severe detrimental outcomes. Angiotensin receptors, documented in studies as the path of entry of this virus, are highly expressed in the epithelial cells of oral mucosa, making the group of individuals with oral cancers even more vulnerable. Extracellular matrix metalloproteinase inducer is another potential target for SARS-CoV-2. An exhaustion of angiotensin converting enzyme 2 cell receptors leads to protumoral effects, whereas a downregulation of extracellular matrix metalloproteinase inducer leads to antitumoral effects. Thus, it causes a variation of the biological behavior of the tumor. This article focusses on the molecular mechanisms, effects and patho-physiology of COVID-19 in oral squamous cell carcinoma patients. The different molecular changes in oral squamous cell carcinoma in the background of COVID-19 will modify various environmental factors for this pathology and have an effect on the carcinogenesis process. Understanding the behavior of the tumor will help plan advanced treatment strategies for oral squamous cell carcinoma patients in the background of COVID-19.

Viral cytopathic effect in maxillary sinus epithelium and SARS-CoV-2: Pitfalls in diagnostic characterization.

Viral cytopathic effects (VCE) are a well-known phenomenon associated with SARS-CoV-2 infection, especially in the cells associated with the lungs. Because maxillary sinus epithelium expresses angiotensin-converting enzyme 2, cells associated with it are more likely to become infected with SARS-CoV-2 and develop VCE. If VCE is seen in with background of a confirmatory COVID-19 diagnosis, then connecting both become quite convincing. However, the diagnostic problem is expected when a similar VCE is seen without any confirmatory diagnosis of CODIV-19. We reported a biopsy sample of maxillary sinusitis in a COVID-19 negative patient. Histopathological examination revealed a pathognomonic VCE in the localized proliferating pseudostratified ciliated epithelium. The only confirmatory aspect linking this VCE with the SARS-CoV-2 was the detection of virus particles at the tissue level. In the present paper, pitfalls and recommendations for future research on this topic are discussed.

Scarcity of publicly available oral cancer image datasets for machine learning research.

Publicly available image datasets of pathologies have easy accessibility and thus, are increasingly being used in the field of machine learning and medical diagnosis. As oral cancer is the most common head and neck cancer with an increasing incidence rate, it is of paramount importance to know the status of publicly available datasets. We designed a systematic search (PubMed, Google Scholar, Google Dataset Search, and Google) to identify the publicly available oral cancer image datasets. After carefully screening 332 articles/datasets, only one met the selection criteria and was available publicly. However, it contained images of cancerous lesions of only lips and tongue. This first-of-its-kind analysis made realize a dire need for publicly available datasets in oral cancer. It will help researchers in the development of effective machine learning algorithms for oral cancer.