Evaluation of pain associated with chronic venous insufficiency in Spanish postmenopausal women
Bibliographic record
Abstract
OBJECTIVE: Menopause status has been associated with an increase in venous diseases and lower limb-related symptoms. The purpose of our study was to evaluate pain associated with chronic venous insufficiency and its risk factors in postmenopausal women. METHODS: A controlled cross-sectional study was performed in 139 postmenopausal women with chronic venous insufficiency and 40 control women. Pain was assessed with a visual analogue scale, the McGill Pain Questionnaire, and the Pain Matcher (Cefar Medical AB, Lund, Sweden). The influence of several demographic and clinical risk factors was analyzed using bivariate and multivariate regression analyses. RESULTS: Women in the chronic venous insufficiency group had significantly higher pain intensity and significantly lower pain threshold (P = 0.001) than the control group. The level of pain was independently and significantly associated with venous refill time and osteoarthritis index scores. It was not associated with other risk factors or with disease severity according to the clinical, etiological, anatomical, and pathophysiological classification. CONCLUSIONS: Venous pain is a consistent symptom in postmenopausal women with chronic venous insufficiency, in whom nociceptive thresholds are generally decreased. Reduced physical activity, venous reflux, and osteoarthritis seem to influence pain level in chronic venous insufficiency.
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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 | 0.001 | 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".