Systematic computer-aided analysis of big data concerning global experience in infected wound healing
- Authors: Torshin I.Y.1, Gromova O.A.1
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Affiliations:
- Federal Research Center “Computer Science and Control”, Russian Academy of Sciences
- Issue: Vol 23, No 1 (2025)
- Pages: 19-28
- Section: Reviews
- URL: https://bakhtiniada.ru/RCF/article/view/312482
- DOI: https://doi.org/10.17816/RCF636717
- EDN: https://elibrary.ru/ASZDND
- ID: 312482
Cite item
Abstract
The present study offers a systematic review of 43,386 research articles investigating wound infection, which were analyzed using data analysis approaches developed by the Yu.I. Zhuravlev and K.V. Rudakov’s scientific school. The cluster-based terminology applied to the publications identified in the study suggests (1) diverse inflammatory mechanisms, (2) a range of bacterial and viral pathogens that contribute to impaired wound healing, and (3) a variety of antibiotics and other pharmacological agents, the effects of which are investigated in the scientific publications. The generated map of the most informative terms provides a comprehensive description of the wound infection pathophysiology and identifies promising areas of research focused on wound pharmacotherapy, including approaches to biofilm eradication; use of nanofibers, hydrogels, and nanoparticles; and pharmacological control of wound inflammation. The pharmacological treatment of infected wounds extends beyond the scope of conventional antiseptics and antibiotics to include the use of phytoextracts (and their components, including antioxidant derivatives), pharmaconutraceuticals, essential elements (primarily copper, zinc, and silver), biguanides (for wound treatment in patients with carbohydrate metabolism disorders), hyaluronic acid (for wound dressings), and probiotic bacteria that facilitate the eradication of pathogenic biofilms. This study is supported by a review of pertinent evidence-based studies, highlighting the most promising research trends, including biofilm control, surgical debridement, and pharmaconutraceuticals.
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##article.viewOnOriginalSite##About the authors
Ivan Yu. Torshin
Federal Research Center “Computer Science and Control”, Russian Academy of Sciences
Email: tiy135@yahoo.com
ORCID iD: 0000-0002-2659-7998
SPIN-code: 1375-1114
Cand. Sci. (Physics and Mathematics), Cand. Sci. (Chemistry)
Russian Federation, MoscowOlga A. Gromova
Federal Research Center “Computer Science and Control”, Russian Academy of Sciences
Author for correspondence.
Email: unesco.gromova@gmail.com
ORCID iD: 0000-0002-7663-710X
SPIN-code: 6317-9833
MD, Dr. Sci. (Medicine), Professor
Russian Federation, MoscowReferences
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