Bibliographic record
Abstract
Objective: Restricted normal activities associated with chronic pain are well documented.In contrast, there is a paucity of reports regarding the association between chronic pain patients and their sexual function.The aim of the present "snapshot" study was to evaluate the prevalence and severity of sexual dysfunction (SD) in a cohort of patients suffering from chronic pain.Methods: 709 patients with chronic pain completed questionnaires assessing demographics, pain-intensity, disability and severity of their SD.A subgroup also completed questionnaires relating to depression and anxiety as well as specific gender-related SD questionnaires.Results: 404 patients (58%) reported pain related SD.No differences in demographic parameters were found between those with and without SD.In contrast, patients with SD exhibited significantly higher scores in pain intensity (VAS), Short-form McGill Pain questionnaire and the Oswestry Disability Index.Patients with SD also consumed significantly higher doses of pain medications.On both numerical and categorical selfreport scales of SD severity, women scored slightly but significantly higher than men.A significant correlation was found between pain intensity and SD severity (Pearson's test: r=0.349; p<0.001).The questionnaires completed by a sub-group of patients with SD revealed a mild degree of depression, a moderate anxiety level and a moderate degree of SD in both genders.Conclusion: A significant number of patients with chronic pain suffer from moderate to severe SD, which correlates with pain intensity.These findings are congruent with previous reports and highlight the importance of increased awareness to SD in patients with chronic pain.
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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 | 0.000 | 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".