Giant Cell Fibroma (GCF) is a unique, non-neoplastic, fibrous hyperplastic soft tissue lesion of the oral mucosa. It was first described as a separate entity by Weathers and Callihan in 1974. It represents approximately 2%-5% of all fibrous lesions. The clinical appearance of the majority of non-neoplastic fibrous growths are similar, but their unique histopathological feature characterized by stellate shaped fibroblasts aids in their final diagnosis. GCF is frequently involves the gingiva, tongue and the buccal mucosa. Eversole, Rovin compared and contrasted 279 fibrous hyperplastic gingival lesions, before Weather and Callihan's description of GCF, they had compared and highlighted 279 fibrous lesions which were: pyogenic granuloma, peripheral gingival fibroma, peripheral giant cell granuloma, and peripheral ossifying fibroma. Each has its own diagnostic histopathologic characteristics but exhibit overlap of clinical presentation. It occurs as a localized reactive proliferation of fibrous tissue, which resembles irritation fibroma rather than a neoplastic proliferation. Here, we report a case of giant cell fibroma with clinical characteristics and histopathologic features that helped us to differentiate it from other fibrous hyperplastic lesions.
Objective: Metabolic syndrome is a cluster of disease condition characterized by truncal obesity, hypertriglyceridemia, elevated blood pressure, and insulin resistance. An excessive circulating uric acid (UA) level even within normal range is always comorbid with metabolic syndrome and its components. The aim of the current study was to investigate the association between metabolic syndrome and serum UA level.Methods: A total of 60 subjects were divided into two groups of healthy (30 individuals) and metabolic syndrome patients (30 individuals) from dental outpatient department of Saveetha Dental College and Hospitals. 5 ml of fasting venous blood was collected in the plain collection tubes and centrifuged, and then serum was separated. Then, the serum was used to analyze the fasting blood glucose, serum triglycerides (TGLs), and serum UA by GOD-POD, enzymatic colorimetric, and uricase method, respectively. A statistical analysis was performed using Student’s t-test. p<0.05 was considered to be statistically significant.Result: Mean body mass index (BMI), fasting blood sugar (FBS), TGL, and UA level of control group were 23.36±1.81, 84.45±13.1, 110.9±22.6, and 3.48±1.21 respectively. Mean BMI, FBS, TGL, and UA level of study group were 35.24±3.04, 122.85±23.3, 212.1±39.6 and 9.08±2.63 respectively. There is a significant difference between these two groups with p<0.0001.Conclusion: This study showed that those individuals with metabolic syndrome have higher UA level that indicates hyperuricemia which is a significant predictor of metabolic syndrome.
Precision medicine is a medical model that proposes the customisation of health care, with medical decisions, treatments, practices, or products being tailored to the individual patient, instead of a one‐drug‐fits‐all model. In precision medicine, diagnostic testing is often employed for selecting appropriate and optimal therapies based on the context of a patient’s genetic content or other molecular or cellular analysis. Tools employed in precision medicine can include molecular diagnostics, imaging, and analytics. The main aim of the study is to create awareness of precision medicine among medical students. The survey was conducted through an online platform, Google forms. A self-administered questionnaire of close-ended and yes or no questions were prepared and circulated among the medical students. The analysis of data was done by using the SPSS software version 20. The Pearson Chi-square analysis was done in comparison with the gender of the respondents.The results showed that 56.9 % of the students are familiar with the word precision medicine. 57% of the students felt that including precision medicine in their curriculum is worth, and 81.1% responded that precision medicine enhances their practice in future. The Pearson chi-square analysis showed that there is no correlation between the gender of the students and awareness of precision medicine. To conclude, the study showed that the awareness of precision medicine among medical students is moderate.
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