ReviewCurrent oncology reports2020
Present and Future of De-intensification Strategies in the Treatment of Oropharyngeal Carcinoma.
Review in Current oncology reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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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
10 citing papers in PubMed.
- Other Than Complete Response in Oropharyngeal Carcinoma: Patient and Tumor-Related Factors.Laryngoscope investigative otolaryngology · 2025Article
- Review
- Head and Neck Squamous Cell Carcinoma Vaccine: Current Landscape and Perspectives.Current issues in molecular biology · 2023Review
- Compartmental Transoral Robotic Lateral Oropharyngectomy with the da Vinci Single-Port System: Surgical Technique.Annals of surgical oncology · 2023Article
- Surgical Treatment for Advanced Oropharyngeal Cancer: A Narrative Review.Medicina (Kaunas, Lithuania) · 2023Review
- Five-year survival outcomes in oropharyngeal squamous cell carcinoma following transoral laser microsurgery.Laryngoscope investigative otolaryngology · 2023Article
- Prognostic Impact of Sarcopenia's Occurrence during Radiotherapy in Oropharyngeal Cancer Patients.Cancers · 2023Article
- The Prognostic and Predictive Effects of Human Papillomavirus Status in Hypopharyngeal Carcinoma: Population-Based Study.JMIR public health and surveillance · 2022Article
- Tumor microenvironment and immunotherapy of oral cancer.European journal of medical research · 2022Review
- Oropharyngeal cancer management in the era of artificial intelligence for optimal decision-making.Brazilian journal of otorhinolaryngologyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purpose of reviewThe treatment of patients with squamous cell carcinoma of the oropharynx (OPSCC) remains controversial. HPV positivity is widely accepted as a favorable prognostic factor, and HPV+ OPSCC is considered a distinct pathological entity with dedicated NCCN guidelines and may deserve a more personalized therapeutic strategy. The possibility to reduce surgical invasiveness and acute and late toxicity of radiotherapy/chemotherapy has led to the new concept of de-escalation treatment strategies. In particular, several de-intensified approaches have been investigated with the aim to give patients less toxic treatments, while maintaining comparable results in terms of disease's control and survival. The aim of the present review is to systematically illustrate the current status of research in de-intensification surgical and non-surgical strategies in the treatment of the OPSCC. RECENT
findingsWe categorized all completed and on-going trials on the basis of the specific de-escalated treatment protocol. Several de-intensified approaches have been investigated with the aim to give patients less toxic treatments, while maintaining comparable results in terms of disease's control and survival. Considering the conflicting results reported so far by preliminary studies, it is necessary to wait for the final results of the on-going trials to better clarify which is the best de-intensified strategy and which patients would really benefit from it.
Indexed as
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32643045What 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.