Quality of Sexual Life in Women with Primary Sjögren Syndrome
Bibliographic record
Abstract
OBJECTIVE: To assess the quality of sexual life of women with primary Sjögren syndrome (pSS) and to identify its correlations with disease activity and damage, quality of life, and mood disorders. METHODS: The quality of sexual life of 24 women with pSS was assessed with the Female Sexual Function Index (FSFI). Twenty-four healthy women, matched by age and hormonal status, were enrolled as controls. Mood disorders and quality of life were investigated using the Hospital Anxiety and Depression Scale (HADS) and the Medical Outcomes Study Short Form-36. Patients underwent a gynecological visit with vaginal pH measurement, cervicovaginal swabs, and Pap smears. Disease activity and damage were assessed by the European League Against Rheumatism Sjögren syndrome disease activity and damage indexes. RESULTS: Patients with pSS showed a pathological mean FSFI score (19.1 ± 7.33) significantly different from controls (p = 0.004), both in menstruating women (p = 0.006) and in menopausal women (p = 0.03). Major differences between the 2 groups were detected in dyspareunia (p < 0.005), lubrication (p = 0.006), desire (p = 0.004), and arousal (p = 0.018). The FSFI score was inversely correlated with age (p = 0.008) and anxiety HADS (p = 0.031). No early anatomical changes, swabs, and Pap smear alterations were revealed in patients with pSS; however, vaginal pH was higher than normal in premenopausal patients (6.0 ± 0.77). CONCLUSION: Both premenopausal and postmenopausal women with pSS have a worse sexual quality of life. We reported a greater prevalence of dyspareunia that is statistically significant when compared with controls. The FSFI could be a useful tool to assess this topic, but has been neglected in the care of patients with pSS heretofore.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".