PD32-01 LONG-TERM SUCCESS DURABILITY OF TRANSOBTURATOR MALE SLING
Bibliographic record
Abstract
healthier older persons.Chronic inflammation is assumed to play a role in lower urinary tract symptoms, however is association with urinary leakage in both men and women has not been assessed.Our objective was to determine if serum markers for inflammation (e.g.C-reactive protein (CRP) and interleukin-6 (IL-6)) were associated with urinary leakage in older Americans.METHODS: Health ABC is a longitudinal cohort consisting of 3,075 healthy men and women, aged 70-79 at baseline; 45 percent of the women and 33 percent of the men are African-American.Serum CRP and IL-6 were measured in year 2 and urinary health questionnaires were administered in years 1, 4, and 11.Baseline distributions of demographic characteristics and urinary leakage frequency were examined according to quartiles of CRP and IL-6.Analysis was conducted on the 2,774 subjects with CRP and 2,736 subjects with IL-6 levels measured for associations with urinary outcomes using ordinal logistic regression.RESULTS: Overall, 21.1% and 28.0% of participants reported daily urinary leakage episodes in year 4 and year 11, respectively.The prevalence of daily leakage was higher for participants in the highest quartile of CRP as for those in the lowest quartile in both years; the same was observed for IL-6.A one unit increase in log IL-6 was associated with 1.25 greater odds (95% CI: 1.07-1.46) of more frequent leakage episodes in year 4. Similar findings were observed for CRP (OR[1.13,95% CI: 1.03-1.24).Urinary leakage was also more frequent with higher CRP and IL-6.CONCLUSIONS: Results of this population-based study show a consistent association of higher CRP or IL-6 levels with urinary leakage in both men and women.These results support the hypothesized role of inflammation in the development of urinary incontinence outside of Benign Prostate Hyperplasia or Overactive Bladder, and a possible role for anti-inflammatory agents in its treatment.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".