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Review
. 2023 Oct 22;15(10):e47487.
doi: 10.7759/cureus.47487. eCollection 2023 Oct.

Research Landscape of Lymphovascular Invasion in Oral Squamous Cell Carcinoma: A Bibliometric Analysis From 1994 to 2023

Affiliations
Review

Research Landscape of Lymphovascular Invasion in Oral Squamous Cell Carcinoma: A Bibliometric Analysis From 1994 to 2023

Ankita Tandon et al. Cureus. .

Abstract

The primary factor affecting tumor biology is neo-lymphangiogenesis in solid epithelial malignancies like oral squamous cell carcinoma (OSCC). Determining the impact of lymphovascular invasion is critical in order to determine OSCC's locoregional 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. The present analysis has been therefore undertaken to study the relevance and effects of lymphovascular invasion in OSCC utilizing co-occurrence of keywords analysis and co-authorship analysis in the PubMed database. The keywords included "lymphovascular invasion in oral squamous cell carcinoma" using the Boolean operator (AND). A cross-sectional bibliometric analysis of full-text articles from 1994 to 2023 using VOSviewer (Version 1.6.19; Centre for Science and Technology Studies, Leiden University, The Netherlands) was performed. The data obtained was analyzed for co-occurrence and co-authorship analysis using the VOSviewer standard protocol. The 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 22,262. 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. In conclusion, this 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.

Keywords: bibliometric analysis; cluster; item; lymphovascular invasion; network visualization; oral squamous cell carcinoma.

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Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Figure 1
Figure 1. Co-occurrence analysis related to lymphovascular invasion in OSCC using VOSviewer* network visualization option.
OSCC: oral squamous cell carcinoma *VOSviewer Version 1.6.19 (Centre for Science and Technology Studies, Leiden University, The Netherlands)
Figure 2
Figure 2. Co-occurrence analysis related to lymphovascular invasion in OSCC using VOSviewer* overlay visualization option (from Blue to Yellow).
OSCC: oral squamous cell carcinoma *VOSviewer Version 1.6.19 (Centre for Science and Technology Studies, Leiden University, The Netherlands)
Figure 3
Figure 3. Co-occurrence analysis related to lymphovascular invasion in OSCC using VOSviewer* using item density visualization.
OSCC: oral squamous cell carcinoma *VOSviewer Version 1.6.19 (Centre for Science and Technology Studies, Leiden University, The Netherlands)
Figure 4
Figure 4. Co-occurrence analysis related to lymphovascular invasion in OSCC using VOSviewer* using cluster density visualization options (mixture of colors).
OSCC: oral squamous cell carcinoma *VOSviewer Version 1.6.19 (Centre for Science and Technology Studies, Leiden University, The Netherlands)
Figure 5
Figure 5. Co-authorship analysis related to lymphovascular invasion in OSCC using VOSviewer* network visualization option.
OSCC: oral squamous cell carcinoma *VOSviewer Version 1.6.19 (Centre for Science and Technology Studies, Leiden University, The Netherlands)
Figure 6
Figure 6. Co-authorship analysis related to lymphovascular invasion in OSCC using VOSviewer* overlay visualization option (from Blue to Yellow).
OSCC: oral squamous cell carcinoma *VOSviewer Version 1.6.19 (Centre for Science and Technology Studies, Leiden University, The Netherlands)
Figure 7
Figure 7. Co-authorship analysis related to lymphovascular invasion in OSCC using VOSviewer* using item density visualization
OSCC: oral squamous cell carcinoma *VOSviewer Version 1.6.19 (Centre for Science and Technology Studies, Leiden University, The Netherlands)
Figure 8
Figure 8. Co-authorship analysis related to lymphovascular invasion in OSCC using VOSviewer* using cluster density visualization options (mixture of colors)
OSCC: oral squamous cell carcinoma *VOSviewer Version 1.6.19 (Centre for Science and Technology Studies, Leiden University, The Netherlands)
Figure 9
Figure 9. Weights of keywords in co-occurrence analyses compared through weights by links and weights by occurrences
Figure 10
Figure 10. Weights of labels/items in co-authorship analyses compared through weight by links, weight by total link strength, and weight by documents
Figure 11
Figure 11. Co-authorship infographics representing association amongst institutes and nations (the numbers display per institutional contributions in a country)
Figure 12
Figure 12. Graphic abstract of "Research Landscape of Lymphovascular Invasion in Oral Squamous Cell Carcinoma: A Bibliometric Analysis From 1994 to 2023"

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