072 Increased Central Sensitization among Women with Painful Bladder Syndrome and Deep Dyspareunia
Bibliographic record
Abstract
Deep dyspareunia affects 50% of women with endometriosis and has significant negative effects on relationships and sexual function. Previous research has identified painful bladder syndrome as a significant contributor to deep dyspareunia which suggests factors such as central sensitization that may contribute to the etiology of deep dyspareunia. To determine the relationship between central sensitization, painful bladder syndrome, and severity of deep dyspareunia in women with endometriosis. We hypothesized that a greater level of central sensitization will be found in the group with high deep dyspareunia and painful bladder syndrome, compared to the other groups. Prospective registry at an endometriosis tertiary centre. Primary outcome: central sensitization measured using the self-reported Central Sensitization Inventory (0-100) questionnaire. Variables of interest: painful bladder syndrome (yes/no) assessed using diagnostic criteria; and severity of deep dyspareunia measured from 0-10 and categorized as low (<5) and high (≥5). Inclusion: new or re-referred to the centre between January-June 2018; 18-50 years. Exclusion: never sexually active; post-menopausal. Bivariate relationships between the primary outcomes and variables of interest were examined. The sample was divided into groups for further analysis; Group 1 had a low severity of deep dyspareunia and no painful bladder syndrome; Group 2 had a low severity of deep dyspareunia and painful bladder syndrome; Group 3 had a high severity of deep dyspareunia and no painful bladder syndrome; Group 4 had a high severity of deep dyspareunia and painful bladder syndrome.
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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) | 0.006 | 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".