Sexual hormones changes in burning mouth syndrome: A systematic review
Bibliographic record
Abstract
BACKGROUND: Burning mouth syndrome (BMS) is a chronic pain condition affecting the oral cavity. This condition mostly affects peri- or postmenopausal women; for this reason, sexual hormonal changes have been implicated in BMS pathogenesis. METHODS: A systematic review was performed in MEDLINE/PubMed, Scopus, Web of Science, Cochrane Library and EMBASE without restriction for language or year. Eligibility criteria were controlled studies addressing the PICO question: (P) patients with BMS; (I) detection of the sex hormones; (C) patients without BMS; (O) changes on sexual hormones as a risk factor for BMS severity. Risk of bias was performed with Newcastle-Ottawa Quality Assessment Scale. RESULTS: Four studies were included. Salivary levels were evaluated in three studies and serum blood was used in one. Three studies analysed oestradiol and/or dehydroepiandrosterone (DHEA), two assessed progesterone and one evaluated follicle-stimulating hormone (FSH). Oestradiol results were contradictory, with two studies reporting lower levels in BMS patients compared to controls and one finding the opposite. DHEA was statistically lower in the BMS group in one study. Progesterone showed opposite results in two studies, although none with statistical significance. FSH was statistically higher in the BMS group compared to controls. Correlation of hormones with quality of life was performed in three studies and there was no significant correlation with self-perceived symptoms severity. CONCLUSION: Sexual hormones can be altered in BMS, especially oestradiol. Despite these changes, we did not find correlation between hormone fluctuation and BMS symptoms intensity affecting quality of life. These findings suggested the need for further investigation on hormonal alterations, which may be a promising target on BMS management.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".