Impact of Fibromyalgia Syndrome on Female Sexual Function
Bibliographic record
Abstract
Background Women with fibromyalgia syndrome (FMS) experience generalized and chronic musculoskeletal pain and other disabling symptoms such as female sexual difficulties that reduce the quality and the frequency of their sexual relationships. Objective The aim of this study was to examine sexual dysfuntion in women diagnosed with FMS compared with healthy controls. Methods A systematic review with meta-analysis was performed. The literature search was conducted using PubMed Medline, Scopus, Web of Science, CINAHL, SciELO, and PsycINFO PROQUEST until February 2021. Observational studies with 2 groups (women with FMS and healthy controls) that assessed sexual function were included. Pooled effect was calculated using Cohen standardized mean difference (SMD) and its 95% confidence interval (CI) in a random-effects model. Results Twelve studies were included comprising 1367 women (766 diagnosed with FMS and 601 healthy controls). The methodological quality of the included studies was moderate, according to the Newcastle-Ottawa Scale. Our findings showed a significant sexual dysfunction in women diagnosed with FMS (SMD = 1.72; 95% CI, 1.18–2.26; p < 0.001). In addition, the secondary outcomes more affected in women with FMS were sexual satisfaction (SMD = −2.09; 95% CI, −2.83 to −1.36; p < 0.001) and the pain during sexual relations (SMD = −1.97; 95% CI, −2.81 to −1.12; p < 0.001). Conclusions Women with FMS showed a significant sexual dysfunction and other related sexual difficulties, such as increase in sexual pain and a decreased sexual desire or sexual satisfaction, compared with healthy women.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.010 | 0.004 |
| 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 | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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; both teacher heads agree on what is shown here.
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".