ReviewFrontiers in oncology2025
Radiation-induced skin injury: a review of pathophysiology, assessment, management, and re-irradiation protocols.
Review in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed.
- Chronic Radiation-Induced Wounds: Pathogenesis, Current Therapeutic Strategies, and Emerging Regenerative Approaches.International journal of molecular sciences · 2026Review
- Assessment of cold atmospheric pressure plasma therapy initiated at peak severity in a mouse model of radiation dermatitis.Scientific reports · 2026Article
- NLRP3 Inhibitor KBD3536 Attenuates Acute Inflammation, Radiation-Induced Skin Injury, and Early Metabolic Dysfunction in Preclinical Models.Pharmaceuticals (Basel, Switzerland) · 2026Article
- Article
- Hydrogels for Healing Radiation-Injured Tissues and Organs.Gels (Basel, Switzerland) · 2026Review
- Risk factors for severe radiation-induced dermatitis in nasopharyngeal carcinoma patients undergoing radiotherapy.Frontiers in oncology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Radiation-induced skin injury (RISI) is a common dose-limiting toxicity of radiotherapy, characterized by erythema, desquamation, fibrosis, atrophy, and ulceration. It results from DNA damage, reactive oxygen species, and dysregulated inflammation. Purpose: This review synthesizes current knowledge on the mechanisms, assessment tools, and management strategies of RISI, with a focus on emerging therapeutic approaches, particularly in patients requiring re-irradiation. Materials and methods: A search of PubMed, Embase, and Web of Science for English-language studies from 2020 to 2025 using terms like "radiation dermatitis," "skin toxicity," and "stem cell therapy" identified 122 pre-clinical and clinical studies. Results: Key grading tools for RISI include the Radiation Therapy Oncology Group (RTOG), Common Terminology Criteria for Adverse Events (CTCAE), and Radiation-Induced Skin Reaction Assessment Scale (RISRAS). Conventional treatments like corticosteroids and emollients alleviate symptoms but do not prevent chronic damage. Novel therapies, including mesenchymal stem cells and mitochondrial-targeted antioxidants, show promise in reducing dermal injury and enhancing repair. Re-irradiated patients experience increased severe dermatitis, highlighting the need for better dose-to-skin constraints. Conclusion: While current management remains mostly palliative, emerging therapies when guided by standardized assessment tools (including the widely used RTOG scale, which remains the clinical gold standard for skin toxicity grading), alongside CTCAE and RISRAS and individualized treatment planning offer hope for reducing acute and long-term skin damage, especially in re-irradiation cases.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.