Coated catheters for intermittent catheterization: smooth or sticky?
Bibliographic record
Abstract
OBJECTIVE: To evaluate the current range of hydrophilic-coated catheters for intermittent self-catheterization, focusing on the adherence of the catheter to the urethral mucosa at the end of catheterization. PATIENTS AND METHODS: In a prospective randomized study, 61 community-based men tested each of four different hydrophilic-coated catheters available in the UK at the time. Subjects used each of the four test catheters for 1 week in a random order, and were provided with the number and size of catheter they normally used. To assess the products, the subjects: (i) timed seven catheterizations using a stop-watch to determine the time taken from extracting the catheter from the water-filled package, to removing the catheter from the penis, having emptied the bladder; (ii) recorded the severity of 'sticking' on catheter removal on a three-point scale (not at all, a little, a lot); and (iii) completed a product-performance questionnaire. RESULTS: There were no significant differences in ratings of 'sticking' between the 'Easicath' and 'Lofric' (P > 0.05), but there were significant differences between these two products and the 'Aquacath' and the 'Silky', which were found to 'stick' more (P < 0.001). The 'Silky' was reported to stick significantly more than the 'Aquacath' (P < 0.001). CONCLUSIONS: Adherence to the urethral mucosa on catheter removal was a common problem, occurring with all catheters, but two products were significantly more likely to stick than the other two. The clinical importance of 'sticking' and the long-term implications are currently unknown. The relative 'sticking' of uncoated catheters has also not been established.
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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 | 0.007 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".