Comparative Bibliometric Analysis of Established and Emerging Databases on Salivary Biomarkers for Early Oral Cancer Diagnosis.

BACKGROUND: Salivary biomarkers play an important role in the preventive strategy for oral cancer detection at an early stage. The aim of this study was to carry out a comparative quantitative analysis of the research material on the topic in one established database, Scopus and another emerging database, Dimensions. METHOD: An electronic search was performed in Scopus and Dimensions in April 2024 with the search subjects "Saliva," "Biomarkers," "Diagnosis," and "Oral Cancer." The retrieved data were analyzed using Biblioshiny for RStudio and MS Excel. RESULT: The search yielded 229 and 158 documents in Scopus and Dimensions, respectively. The data were studied to understand the coverage, concentration, and diversion of research articles. The analysis revealed high singularity index for Scopus and low overlap percentage between the two databases. Scopus was found to have higher citation count per article, however, the citation correlation between Scopus and Dimensions was found to be strong. Author productivity was found to be low in both the databases. CONCLUSION: Scopus and Dimensions vary in their scope, volume of data, and coverage policies. Both the databases have complimentary coverage on salivary biomarkers for oral cancer diagnosis. However, Scopus has a greater number of articles, sources, and citations resulting in better coverage of the topic.

Assessment of Oral Health Status and Treatment Needs of School Teachers in Indore City, Madhya Pradesh, India: A Cross-Sectional Study.

INTRODUCTION: Teachers are central to the well-being of a community. Being an influential part of society, their role can be broadened to promote oral health and healthy oral hygiene habits. This study was aimed at the assessment of the oral health status and treatment needs of school teachers in Indore City. METHOD: A descriptive cross-sectional study was carried out over a period of five months on 470 school teachers working in various government schools of Indore city selected through random sampling technique. The modified WHO Oral Health Assessment Form for Adults 2013 was used to record oral health status and treatment needs, while the WHO Questionnaire for Adults 2013 was used to document oral hygiene practices, dietary habits, and deleterious habits. Data was analyzed using IBM SPSS Version 25 (IBM Corp., Armonk, NY). Chi-square test, independent t-test, and one-way ANOVA were used. RESULTS: The gender distribution of the representative sample showed female predominance. The prevalence of smokeless tobacco consumption was 5.1% among the study subjects. The mean number of Decayed, Missing, and Filled Teeth (DMFT) was 3.45 ± 3.10, and the mean number of 1.52 ± 2.40 teeth showed the presence of bleeding. Around 37.2% had shallow pockets of 4-5 mm. A mean number of 4.26 ± 1.97 sextants showed 0-3 mm attachment loss. There was a significant association between the frequency and technique of toothbrushing with a decayed number of teeth (p<0.001). CONCLUSION: High proportion of dental caries and periodontal disease was seen which could be related to their oral health care-seeking behavior and the impairment related to age changes.

Evaluation of Soil and Water Assessment Tool and Artificial Neural Network models for hydrologic simulation in different climatic regions of Asia.

In this study, a physically-based hydrological model, Soil and Water Assessment Tool (SWAT) and three types of Artificial Neural Network (ANN) models were used to simulate daily streamflow, and results were compared with observed data for performance analysis. The study was carried out in three different river basins with three different climatic characteristics, namely the West-Seti River Basin in a sub-tropical (partially wet) climatic region, Sre Pok River Basin in a tropical (wet) climatic region and Hari Rod River Basin in a semi-arid (dry) climatic region. The SWAT and ANN models were evaluated using statistical indicators such as the correlation coefficient (R2), Nash-Sutcliffe efficiency (NSE), and percentage bias (PBIAS). The performance of ANN models was found to be very good with both R2 and NSE values greater than 0.95 for the training and validation periods in the West-Seti River Basin and Sre Pok River Basin. Whereas, in the Hari Rod River Basin, the performance of the SWAT model was good with both R2 and NSE values greater than 0.60 for the calibration and validation periods. Moreover, the performance of SWAT and ANN models was evaluated based on hydrological indicators (i.e. annual discharge, base flow, Qdry, and Qwet), during different flow periods (very high to very low flow) using flow duration curves (FDCs). The SWAT model was found to be better for low flow simulation and the ANN model performed better for high flow simulation in the three river basins.