Sexual dysfunction in women with primary Sjögren’s syndrome: a systematic review and meta-analysis
Bibliographic record
Abstract
INTRODUCTION: Primary Sjögren's syndrome (pSS) is an inflammatory autoimmune condition affecting the exocrine glands, which can adversely affect the sexual activities of women with pSS. OBJECTIVES: The study sought to evaluate the performance of the Female Sexual Function Index (FSFI) score in women with pSS regarding desire, arousal, orgasm, lubrication, satisfaction, and pain compared with those of healthy individuals. METHODS: A systematic review was conducted by examining studies published up to May 2023 using Embase, Web of Science, Scopus, and PubMed with the search terms "sexual" and "Sjögren's syndrome." RESULTS: Out of the 228 articles retrieved, 9 met the criteria for inclusion in this systematic review. Six of these studies were cross-sectional, involving 229 women with pSS and 303 control subjects. Results from the meta-analysis showed that women with pSS had significantly lower scores in all 6 FSFI subdomains and the total FSFI score compared with healthy individuals. Lubrication showed the largest decrease, followed by pain. In addition, women with pSS exhibited significantly higher standardized mean differences in depression and in anxiety, as assessed by the Hospital Anxiety and Depression Scale, when compared with control subjects. CONCLUSION: This updated meta-analysis underscores the importance of assessing genitourinary atrophy, disease-related psychological changes, and dyspareunia in women with pSS. It also emphasizes the need for customized therapeutic approaches to address these sexual dysfunctions effectively.
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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 | 0.009 | 0.022 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.014 | 0.027 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 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".