SELF-SAMPLING FOR HUMAN PAPILLOMAVIRUS (HPV) IN CERVICAL CANCER SCREENING: A SYSTEMIC REVIEW WITH VISUALIZATION USING ADJUTANT

Georgeta Ginfalean
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Georgeta Ginfalean: Faculty of Medicine, Lucian Blaga University of Sibiu

SEA - Practical Application of Science, 2020, issue 24, 305-312

Abstract: The aim of this study is to perform an automatic systemic review analysis with visualization on (current) research articles about HPV self-sampling as screening test for cervical cancer. It were searched articles from PubMed databases up to August 2020, using Adjutant R package. The resulted document corpus included 275 researches between 1996 and 2020, grouped in five cluster topics. Word Cloud Generator (by Monkey Learn) open source tool for visualization was also employed. Acceptability of self-sampling methods and HPV collection devices/kits is also discussed. Self-collection HPV methodologies and tools are increasing accessibility, awareness, privacy and availability of populational screening for cervical cancer. Beside the fact that these methods may improve screening coverage, they are in agreement with physician-collected cervical specimens methods in detecting HPV. The cases diagnosed early can be included in a complex bimodal therapeutic plan according to the degree of severity – optimal medical and surgical treatment, which will lead to healing of cervical lesions, which in terms will maintain the women’s reproductive prognosis during their reproductive age, where the highest incidence of chronic genital HPV infection is encountered.

Keywords: Cervical cancer; Self-sampling; Human papillomavirus (HPV); Adjutant; Visualization (search for similar items in EconPapers)
Date: 2020
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