A systematic review of salivary gland hypofunction and/or xerostomia induced by non-surgical cancer therapies: prevention strategies
Bibliographic record
Abstract
PURPOSE: This systematic review aimed to assess the updated literature for the prevention of salivary gland hypofunction and xerostomia induced by non-surgical cancer therapies. METHODS: Electronic databases of MEDLINE/PubMed, EMBASE, and Cochrane Library were searched for randomized controlled trials (RCT) that investigated interventions to prevent salivary gland hypofunction and/or xerostomia. Literature search began from the 2010 systematic review publications from the Multinational Association of Supportive Care in Cancer/International Society of Oral Oncology (MASCC/ISOO) up to February 2024. Two independent reviewers extracted information regarding study design, study population, cancer treatment modality, interventions, outcome measures, methods, results, risk of bias (RoB version 2), and conclusions for each article. RESULTS: A total of 51 publications addressing preventive interventions were included. Eight RCTs on tissue-sparing radiation modalities were included showing significant lower prevalence of xerostomia, with unclear effect on salivary gland hypofunction. Three RCTs on preventive acupuncture showed reduced prevalence of xerostomia but not of salivary gland hypofunction. Two RCTs on muscarinic agonist stimulation with bethanechol suggested a preventive effect on saliva flow rate and xerostomia in patients undergoing head and neck radiation or radioactive iodine therapy. Two studies on submandibular gland transfer showed higher salivary flow rates compared to pilocarpine and lower prevalence of xerostomia compared to no active intervention. There is insufficient evidence on the effectiveness of vitamin E, amifostine, photobiomodulation, and miscellaneous preventive interventions. CONCLUSION: This systematic review continues to support the potential of tissue-sparing tecniques and intensity-modulated radiation therapy (IMRT) to preserve salivary gland function in patients with head and neck cancer, with limited evidence on other preventive strategies, including acupuncture and bethanecol. Preventive focus should be on optimized and new approaches developed to further reduce radiation dose to the parotid, the submandibular, and minor salivary glands. As these glands are major contributors to moistening of the oral cavity, limiting the radiation dose to the salivary glands through various modalities has demonstrated reduction in prevalence and severity of salivary gland hypofunction and xerostomia. There remains no evidence on preventive approaches for checkpoint inhibitors and other biologicals due to the lack of RCTs.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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 teacher head, 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".