1. A Machine-Learning-Based Bibliometric Analysis of the Scientific Literature on Anal Cancer.
- Author
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Franco, Pierfrancesco, Segelov, Eva, Johnsson, Anders, Riechelmann, Rachel, Guren, Marianne G., Das, Prajnan, Rao, Sheela, Arnold, Dirk, Spindler, Karen-Lise Garm, Deutsch, Eric, Krengli, Marco, Tombolini, Vincenzo, Sebag-Montefiore, David, and De Felice, Francesca
- Subjects
PAPILLOMAVIRUSES ,BIBLIOMETRICS ,MACHINE learning ,ANAL tumors ,FACTOR analysis ,TUMOR markers ,RADIOTHERAPY ,HIV - Abstract
Simple Summary: Squamous-cell carcinoma of the anus, being a rare cancer, requires national and international collaborations, networking, organizational proficiency and leadership to overcome barriers towards the implementation of clinical trials to establish improved standards of care treatment strategies and the conduction of translational research projects to shed light into its biology and molecular characterization. The purpose of the present study is to obtain a global frame of the scientific literature related to anal cancer, through a bibliometric analysis of the published articles during the last 20 years (2000–2020), exploring trends and common patterns in research, tracking collaboration and networks to foresee future directions in basic and clinical research. Squamous-cell carcinoma of the anus (ASCC) is a rare disease. Barriers have been encountered to conduct clinical and translational research in this setting. Despite this, ASCC has been a prime example of collaboration amongst researchers. We performed a bibliometric analysis of ASCC-related literature of the last 20 years, exploring common patterns in research, tracking collaboration and identifying gaps. The electronic Scopus database was searched using the keywords "anal cancer", to include manuscripts published in English, between 2000 and 2020. Data analysis was performed using R-Studio 0.98.1091 software. A machine-learning bibliometric method was applied. The bibliometrix R package was used. A total of 2322 scientific documents was found. The average annual growth rate in publication was around 40% during 2000–2020. The five most productive countries were United States of America (USA), United Kingdom (UK), France, Italy and Australia. The USA and UK had the greatest link strength of international collaboration (22.6% and 19.0%). Two main clusters of keywords for published research were identified: (a) prevention and screening and (b) overall management. Emerging topics included imaging, biomarkers and patient-reported outcomes. Further efforts are required to increase collaboration and funding to sustain future research in the setting of ASCC. [ABSTRACT FROM AUTHOR]
- Published
- 2022
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