Comprehensive Therapy for Burning Mouth Syndrome in Menopausal Women
Bibliographic record
Abstract
Burning Mouth Syndrome (BMS) in menopausal women is a neuropathic pain disorder associated with persistent oral burning sensations, xerostomia, and dysgeusia. The condition is linked to estrogen deficiency, central sensitization, and altered pain modulation. This study evaluates the effectiveness of a structured multimodal therapeutic approach. A cohort of 67 menopausal women (45–67 years) underwent clinical, psychometric, and laboratory assessments, including the Visual Analog Scale (VAS) for pain, the Challacombe Scale of Clinical Oral Dryness (CSCOD), and the Spielberger Anxiety Inventory, Montgomery–Åsberg Depression Rating Scale (MADRS), and Hospital Anxiety and Depression Scale (HADS). Salivary and hormonal profiles were analyzed to determine inflammatory mediators and estrogen levels. The therapeutic protocol included neuromodulators, salivary stimulants, cognitive-behavioral therapy, and targeted hormonal interventions. The results demonstrated a significant reduction in pain intensity, improved oral function, and stabilization of psychological status. The findings support a multidisciplinary approach as a necessary strategy for effective management of BMS in menopausal patients.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 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".