ClinicalTrials.gov
public full text
Public Domain
Oral Care Protocol for the Management of Chemotherapy and Radiation Therapy-Induced Oral Mucositis
The purpose of this study is to determine the effects of a novel oral care protocol on the severity and pain of oral mucositis in patients receiving radiation and/or chemotherapy for head and neck cancers. The secondary objectives are to characterize the microbiome associated with oral mucositis, measure salivary proinflammatory cytokines, and evaluate other clinical indicators of the intervention. Participants will be enrolled prior to beginning radiation and/or chemotherapy, and will be randomized to receive either the oral health protocol or standard of care oral hygiene.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Treatment of Chemotherapy and Radiotherapy Induced Oral Mucositis#882505
- Cox-2 Inhibition in Radiation-induced Oral Mucositis#896780
- Microbiota and Symptom Distress in Head and Neck Cancer Patients Receiving Radiotherapy#914596
- Copaíba-based Mouthwash in Oral Mucotitis Prevention and Treatment in Oral Cancer Patients During Radioteraphy#806001
- Effect of Oral Vitamin C in Assessing the Severity of Oral Mucositis in Chemoradiation of Head and Neck Cancers#909574
Record · ID 981134
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive