Syndrome Génito-Urinaire de la Ménopause : attitudes diagnostiques et thérapeutiques des médecins généralistes des îles de Saint-Martin et Saint-Barthélemy aux Antilles
Bibliographic record
Abstract
Introduction: The primary aim of this study was to review the diagnostic and therapeutic attitudes of all GPs working on the islands of Saint-Martin and Saint-Barthélemy regarding the GSM. Methods: This study was cross-sectional, observational, descriptive and epidemiological with retrospective data collection through a self-reporting survey. The target population was all GPs practicing in their own office on this territory. A total of 28 GPs were identified and included. To meet the main objective, descriptive statistics were compiled for each of the responses. These relationships were subjected to univariate analysis. The statistical significance of the relationships was tested using tests of independence (Chi-2). The significance level was 10%. Results: All 28 general practitioners completed the questionnaire. 25% of them were not familiar with the GSM. Less than 50 % reported looking usually for GSM’s symptoms in postmenopausal patients. A quarter looked for clinical signs. 57% of the GPs declared being able to diagnose GSM themselves and clinically. In terms of treatment, 85% of the GPs prescribed a local treatment as their first choice. Local hormone treatment was prescribed as first-line treatment by 71% of doctors in cases of severe symptoms of GSM. 57% of doctors could add local estrogens treatment to patients already on hormone replacement therapy (HRT). Conclusion: GSM is poorly researched and under-diagnosed by GPs in these areas. Practitioners are generally familiar with the principles of treatment, but there is still a great deal of confusion about prescribing local estrogens. A dedicated consultation for menopause and additional training courses on the subject would improve GP practices. The more doctors are aware of the issue, the better menopausal women will be diagnosed and will benefit from appropriate treatment, improving their quality of life and sexual health.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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 | 0.000 |
| 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".