A Business Impact Study of the Use of a Supersaturated Calcium Phosphate Oral Rinse (SCPOR) in the Prevention and Treatment of Oral Mucositis
Bibliographic record
Abstract
Oral mucositis (OM) is an inflammation of mucous membranes in the mouth with symptoms ranging from redness to severe ulcerations and pain. It is a condition that affects as many as 45,000 Canadian cancer patients annually, and around 70% of patients undergoing conditioning therapy for bone marrow transplantation (BMT). Almost all patients receiving radiation therapy to the head and neck areas develop OM. Basic oral care is often not enough to reduce the duration or severity of OM in cancer patients. The author conducted a business impact study for Canadian hospitals and cancer centres of the use of a prescription, supersaturated, calcium phosphate, oral rinse (SCPOR) in the prevention and treatment of oral mucositis that occurs due to high-dose chemotherapy in bone marrow transplant patients as well as in head and neck cancer patients receiving radiation therapy. Treatment of OM with the SCPOR for BMT patients not only provided positive, clinical results but net savings of $1,585 for a return on investment of 238.3%. The minimal net savings per head and neck cancer patient, a patient who would also be receiving clinically better care for OM, would be $663 for a return on investment of 49.8%.
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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 | 0.005 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".