MASCC/ISOO Clinical Practice Statement: management of oral complications of immunotherapy
Bibliographic record
Abstract
PURPOSE: The MASCC/ISOO Clinical Practice Statement (CPS) endeavors to develop a succinct instrument for clinicians, encapsulating essential practical information requisite for the management of oral complications in oncology patients. This CPS specifically addresses the management of oral complications associated with immunotherapy. METHODS: This CPS was formulated through a rigorous literature review, followed by a structured discussion among a consortium of leading experts, members of the Oral Care Study Group of MASCC/ISOO. Immunotherapeutic agents were identified utilizing PubMed, and then they were matched with the National Cancer Institute's compendium of Food and Drug Administration-approved immunotherapy drugs. The statement integrated information from the literature about the management of oral immune-related adverse events (irAEs), extrapolation from literature about the management of similar oral diseases, and the working group's clinical experience. The information is systematically presented in concise bullet points and tables, thereby creating a succinct manual delineating the optimal standard of care. RESULTS: Oral irAEs encompass a range of mucosal and gingival conditions, dysgeusia, dysphagia, and xerostomia/hyposalivation. The management of oral toxicities is contingent upon the severity of the symptoms. Topical steroids and immunomodulators are frequently utilized as first-line therapies for oral mucosal toxicities, and topical anesthetics are employed for pain management. Treatment strategies for dysgeusia primarily focus on symptom management. This CPS also provides a guide for oral and dental care for patients undergoing immunotherapy. CONCLUSION: The management of oral toxicities induced by immunotherapy is intended to mitigate patient discomfort, enhance healing, and regain oral function. Optimal management practices necessitate a collaborative approach between medical professionals and oral health specialists.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.082 | 0.185 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.009 | 0.006 |
| Science and technology studies | 0.005 | 0.006 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.006 | 0.013 |
| Research integrity | 0.016 | 0.013 |
| Insufficient payload (model declined to judge) | 0.005 | 0.007 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".