The Examination of Variations In The Pain Characteristics of Women With Overactive Bladder Syndrome
Bibliographic record
Abstract
Objective: To evaluate the pain characteristics of women with overactive bladder (OAB) for investigating the role of central sensitization in OAB pathophysiology. Materials and Methods:Women with OAB over the age of 18 years and healthy volunteers made up the participants in the current study.Pain intensity and quality were analysed with the Short Form of the McGill Pain Questionnaire (SF-MPQ).The Self-Leeds Assessment of Neuropathic Symptoms and Signs (LANSS) was used to assess the presence of neuropathic pain.Pain threshold was evaluated with algometer.The Pressure Pain Threshold measurement was determined as the primary outcome measure of the present study.The Overactive Bladder Awareness Tool (OAB-V8), short forms of the Incontinence Impact Questionnaire-7 (IIQ-7) and Urogenital Distress Inventory-6 (UDI-6) were used to evaluate OAB symptoms.Nottingham Health Profile (NHP) questionnaire was used to reveal quality of life and general health status.Results: According to algometric measurements, OAB patients had lower pain thresholds in 19 anatomical points (p<0.05).A significant strong correlation was observed between the SF-MPQ, and IIQ7 (r=0.666),OAB-V8 (r=0.640), and LANSS (r=0.610),whereas there was a significant moderate correlation with UDI6 (r=0.576)(p<0.001).According to SF-MPQ, the median sensory sub-scale value was 6.5 cm, the affective sub-scale value was 2 cm and the total value was 9 cm with a pain intensity of 4.6 cm.In the healthy controls, the median of all these values were found to be zero (p=0.001).Conclusion: This study demonstrated a decrease in pain thresholds of OAB patients and an increase in the intensity of sensory and affective characteristics of pain.These results support that central sensitization predisposes to pain syndromes in the pathophysiology of OAB.Keywords: overactive bladder,
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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 | 0.001 | 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) | 0.001 | 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".