Prevalence of Fibromyalgia in Infertile Women
Bibliographic record
Abstract
Background: Fibromyalgia is a functional disorder of growing importance characterized by chronic widespread musculoskeletal pain. It frequently affects women of child bearing age. Infertility is failure to achieve pregnancy within a 12 month period for sexually active individuals under 35 years of age and failure to conceive within a 6 months period for those over 35 years, which can have a major psychosocial impact on the affected person’s life. Objectives: To estimate the prevalence of fibromyalgia among a sample of infertile women; and to study its relationship with age, length of marriage, duration and type of infertility. Patients and Methods: A cross-sectional study was conducted in Kamal Al-Samarraee Infertility Center & Infertility Clinic in Baghdad Teaching Hospital on 202 infertile women. Fibromyalgia was diagnosed according to 2012 Canadian Guidelines. Results: Fibromyalgia was reported in 48 women (23.8%). There was a significant association between fibromyalgia and age (P=0.023), longer duration of marriage (P=0.001) and longer duration of infertility (P=0.04), but no significant association with type of infertility whether primary or secondary (P=0.32). Conclusions: The prevalence of fibromyalgia among infertile women was higher than reported in the general population and its occurrence was significantly associated with age, longer duration of marriage and infertility.
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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 | 0.001 |
| 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) | 0.002 | 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; 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".