Data sources It is not made clear in this review the different databases selected or how they conducted their search. The studies used are from 1975-2020Study selection The authors have performed a scoping review using 84 studies ranging from 1975-2020. The majority of these are from before the 2019-2020 COVID-19 outbreak period. This is indicative of the lack of evidence on this topic and exemplifies why a scoping review was carried out rather than a systematic review. The studies that were reviewed were predominately cohort and case studies. With regards to previous treatment outcomes, a few systematic reviews were included, but again, the novel nature of this outbreak means that largely, there are only cohort or case studies available for review.Data extraction and synthesis There are ten authors, with no indication of how many performed the literature review or if a mediator was involved in the final decision making on what papers would be reviewed.Results Excessive consumption of alcohol, history of tobacco use, an ageing population, and comorbidities such as cardiopulmonary issues are substantial risk factors for episodes of unfavourable respiratory outcomes. The risk of these outcomes is increased by some of the toxic effects of treatments such as chemotherapy or radiotherapy.Conclusions The COVID-19 outbreak has a potentially disproportionate impact on the cohort of head and neck cancer patients, and the respiratory effects this has on these patients may increase morbidity and mortality. It is important to include alcohol and smoking cessation, along with good oral hygiene instruction in the care of these patients.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7317258 | PMC |
| http://dx.doi.org/10.1038/s41432-020-0091-9 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
5-FU Weakens Defensive Functions of the Junctional Epithelium.
J Periodontal Res
January 2025
Department of Surgery, Stanford University School of Medicine, Stanford, California, USA.
Aim: To investigate additional factors contributing to the pathophysiology of chemotherapy-induced oral mucositis and periodontitis beyond the systemic immune suppression caused by the chemotherapeutic agent 5-Fluorouracil (5-FU).
Methods: 5-Fluorouracil was topically delivered to the non-keratinized, rapidly proliferating junctional epithelium (JE) surrounding the dentition, and acts as an immunologic and functional barrier to bacterial ingression. Various techniques, including EdU incorporation, quantitative immunohistochemistry (qIHC), histology, enzymatic activity assays, and micro-computed tomographic (μCT) imaging, were employed to analyze the JE at multiple time points following topical 5-FU treatment.
Multi-disciplinary treatment of broncho-esophageal fistula in a high-risk single-lung patient.
J Cardiothorac Surg
January 2025
Section of Cardiothoracic Surgery, Department of Heart Disease, Haukeland University Hospital, Jonas Lies vei 65, 5021, Bergen, Norway.
Background: A broncho-esophageal fistula (BEF) is a medical and surgical disaster. Treatment of BEF is often limited to palliative stent treatment that may migrate or cause erosions and tissue necrosis. Surgical repair of BEF is the only established definite treatment.
View Article and Find Full Text PDFEvaluation of a context-aware chatbot using retrieval-augmented generation for answering clinical questions on medication-related osteonecrosis of the jaw.
J Craniomaxillofac Surg
January 2025
Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
The potential of large language models (LLMs) in medical applications is significant, and Retrieval-augmented generation (RAG) can address the weaknesses of these models in terms of data transparency and scientific accuracy by incorporating current scientific knowledge into responses. In this study, RAG and GPT-4 by OpenAI were applied to develop GuideGPT, a context aware chatbot integrated with a knowledge database from 449 scientific publications designed to provide answers on the prevention, diagnosis, and treatment of medication-related osteonecrosis of the jaw (MRONJ). A comparison was made with a generic LLM ("PureGPT") across 30 MRONJ-related questions.
View Article and Find Full Text PDFEvaluation of machine learning models for predicting xerostomia in adults with head and neck cancer during proton and heavy ion radiotherapy.
Radiother Oncol
January 2025
Department of Nursing, Shanghai Proton and Heavy Ion Center, Shanghai Engineering Research Center of Proton and Heavy Ion Radiation Therapy, Shanghai 201315 China. Electronic address:
Background And Purpose: Few studies have examined the factors associated with xerostomia during proton and carbon ion radiotherapy for head and neck cancer (HNC), which are reported to have fewer toxic effects compared to traditional photon-based radiotherapy. This study aims to evaluate the performance of machine learning approaches in predicting grade 2 + xerostomia in adults with HNC receiving proton and carbon ion radiotherapy.
Materials And Methods: A retrospective study involving 1,769 adults with HNC who completed proton or carbon ion radiotherapy was conducted.
Article Synopsis
- Developed a statistical model to predict severe acute oral mucositis in head and neck cancer patients receiving carbon-ion radiation therapy.
- Used a combination of clinical data, dose-volume statistics, and advanced imaging features for better prediction accuracy.
- The model showed high accuracy rates (87.1% training, 90.7% test) and can potentially aid in treatment planning and identifying patients at high risk for this complication.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!