Research landscape of lymphovascular invasion in Oral Squamous Cell Carcinoma: A bibliometric analysis from 1994 to present

BackgroundThe primary factor affecting tumor biology is neo-lymphangiogenesis in solid epithelial malignancies like OSCC. Determining the impact of lymphovascular invasion is critical in order to determine OSCCs loco-regional, and global dissemination. Bibliometric landscapes are vital to learning about the most recent advancements in the aforementioned topic because the ongoing research in OSCC is multifaceted. This analysis can reveal the progressions that might modernize OSCC diagnosis and treatment. ObjectivesTo study the relevance and effects of lymphovascular invasion in oral squamous cell carcinoma utilizing co-occurrence of keywords analysis and co-authorship analysis for the PubMed database. MethodologyCross-sectional bibliometric analysis of full-text PubMed articles from 1994 to the present using VOSviewer (Version 1.6.19) was performed. The keywords for the search of data included "Lymphovascular invasion in oral squamous cell carcinoma" using the Boolean operator (AND). The data obtained was analyzed for co-occurrence and co-authorship analysis using the VOSviewer standard protocol. ResultsThe query revealed 296 searches in the PubMed database. Seven clusters were found with default colors in the representation of the entire term co-occurrence network, which also displayed a total link strength of 22262. The items were categorized into clusters based on their commonalities. The labels weights, as determined by Links and Occurrences, did not depend on one another, and the co-occurrence of keywords does not imply a causal association. In the item density visualization, item labels represented individual things. The number of items from a cluster that was close to the point was represented by the weight given to its color, which was formed by combining the colors of other clusters. A network of 57 authors who matched the search parameters was discovered by the co-authorship analysis. The network visualization map displayed three clusters with a total link strength of 184. The quantity of co-authorship relationships and the number of publications did not appear to be significantly correlated. ConclusionThis investigation uncovered a sizable body of bibliometric data that emphasizes key trends and advancements in the aforementioned theme. The observed variances may be a result of the various objectives of the researchers and journals, who collaborate to provide the best possible literature dissemination. Graphic Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=109 SRC="FIGDIR/small/23286490v1_ufig1.gif" ALT="Figure 1"> View larger version (42K): org.highwire.dtl.DTLVardef@18417fdorg.highwire.dtl.DTLVardef@1431e4aorg.highwire.dtl.DTLVardef@179c036org.highwire.dtl.DTLVardef@3a264b_HPS_FORMAT_FIGEXP M_FIG C_FIG