ReviewCancers2024
Radiation Therapy in the Management of Head and Neck Mucosal Melanoma.
Review in Cancers, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed.
- Head and Neck Mucosal Melanoma in the Era of Immunotherapy: A National Cancer Database Review.Head & neck · 2026Article
- Stage-Adapted Cryotherapy-Based Management of Oral Mucosal Melanoma: A Single-Center Retrospective Cohort.Journal of clinical medicine · 2026Article
- Integrated approaches to sensitizing melanoma to radiotherapy.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2026Review
- CD8/CD4 ratio, CD56, and PD-L1 as prognostic markers in sinonasal mucosal melanoma.International journal of clinical oncology · 2026Article
- Sinonasal Mucosal Epithelioid Melanoma with Rapid Skull-Base and Orbital Progression.Journal of clinical medicine · 2026Article
- Estimation of the α/β ratio for metastatic melanomas in a patient based on actual responses to radiation therapy delivered with various fractionation schedules.Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology · 2026Article
- Review
- Sinonasal mucosal melanoma in an elderly patient: a case report.Journal of medical case reports · 2025Article
- Combination Immunotherapy for Mucosal Melanoma: Molecular Mechanism, Research Status, and Future Directions.Current treatment options in oncology · 2025Review
- Recurrent Malignant Melanoma on the Tongue: A Case Report and Review of the Literature.Cancer reports (Hoboken, N.J.) · 2025Review
- Primary Sinonasal Mucosal Melanoma: A Narrative Review.Diagnostics (Basel, Switzerland) · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Mucosal melanoma of the head and neck (HNMM) is a rare but highly aggressive malignancy, often diagnosed at an advanced stage with poor prognosis. This review discusses current treatment strategies, emphasizing the role of radiotherapy in managing this challenging disease. A comprehensive analysis of 33 studies provides updated information on techniques and outcomes, highlighting the consistent benefit of adjuvant radiation in improving local control. Advances in conformal techniques, such as intensity-modulated radiotherapy (IMRT), have significantly reduced toxicity rates. Preliminary data on proton and carbon ion therapies suggest the potential for further enhancement of the therapeutic ratio, despite limited availability. Although recent studies report 3-year local control rates as high as 90%, overall survival within the same time frame remains well below 50-60%, underscoring the need for continued improvement in systemic therapies to address the persistent issue of distant metastases.
Indexed as
Identifiers
What OpenQuestion holds
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.