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. 2022 Oct 13;58(10):1449.
doi: 10.3390/medicina58101449.

Scientific Research Directions on the Histopathology and Immunohistochemistry of the Cutaneous Squamous Cell Carcinoma: A Scientometric Study

Iuliu Gabriel Cocuz  1   2   3 , Maria Elena Cocuz  4   5 , Angela Repanovici  6 , Adrian-Horațiu Sabău  2   3 , Raluca Niculescu  2   3 , Andreea-Cătălina Tinca  2   3 , Vlad Vunvulea  7 , Corina Eugenia Budin  3 , Andreea Raluca Szoke  2   3 , Maria Cătălina Popelea  2 , Raluca Moraru  7   8 , Titiana Cornelia Cotoi  9   10 , Ovidiu Simion Cotoi  2   3
Affiliations

Scientific Research Directions on the Histopathology and Immunohistochemistry of the Cutaneous Squamous Cell Carcinoma: A Scientometric Study

Iuliu Gabriel Cocuz et al. Medicina (Kaunas). .

Abstract

Introduction: Cutaneous squamous cell carcinoma (cSCC) is one of the most frequently occurring types of cancer in humans. Scientometric research is an innovative method for analyzing the research trends in various domains, with great implications in the field of medicine. Materials and Methods: We searched the Web of Science database with the following established query terms: "Squamous cell carcinoma", "skin", and "immunohistochemistry". After applying the inclusion and exclusion criteria, a total of 76 articles were selected. The present study aims to analyze, based on the frequency of use of keywords with scientometric algorithms and map-based distributions, the trends of the research concerning cSCCs in 2017-2022. Results: A graphical representation based on 11 scientometric maps presented the division of the keywords into seven clusters, from which seven categories of research interest were defined. The clusters represent a multidisciplinary approach to the diagnosis and treatment of cSCCs, cancer diagnostics, patient outcomes, histopathological importance, management of cSCCs, role of progression, and adequate treatment of and importance of immunohistochemistry for cSCCs. The distribution of the citations shows the importance of the available research on cSCCs by analyzing the first five most-cited articles included in our study in direct concordance with the seven defined clusters. Conclusion: The scientometric research method reveals the interest of research in the multidisciplinary approach used to obtain the best outcomes for the patient, including a targeted investigation, as well as diagnostic and treatment options. The trends in the research reveal that histopathological diagnostics and immunohistochemistry, combined with molecular techniques, are the most important tools used to establish a personalized diagnosis, thus increasing the quality of life and life expectancy for patients with cSCCs.

Keywords: dermatology; histopathology; immunohistochemistry; scientometry; squamous cell carcinoma.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
PRISMA chart of workflow—identification of research articles via WoS database.
Figure 2
Figure 2
The scientometric map based on the keywords analyzed from the selected research articles *. (* Colors observed in Figure 2 refer to the defined clusters. Legend of used colors: Cluster 1—red, Cluster 2—green, Cluster 3—blue, Cluster 4—Yellow, Cluster 5—purple, Cluster 6—turquoise, Cluster 7—orange).
Figure 3
Figure 3
Clusters’ descriptive classifications of keywords based on the scientometric analysis *. (* Colors observed in Figure 3 refer to the defined clusters. Legend of used colors: Cluster 1—red, Cluster 2—green, Cluster 3—blue, Cluster 4—Yellow, Cluster 5—purple, Cluster 6—turquoise, Cluster 7—orange).
Figure 4
Figure 4
Density of the main research tendency based on used keywords in the selected articles *. (* Color legend: The intensity of the yellow–green colors shows the frequency of use of the keywords).
Figure 5
Figure 5
The most commonly used keywords based on occurrences.
Figure 6
Figure 6
The most commonly used keywords based on the total link strength.
Figure 7
Figure 7
The citation density of the selected research articles from WoS *. (* Color legend: The intensity of the yellow–green colors represents the higher number of citations for the most-cited research articles out of those that were selected).
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