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Coated catheters for intermittent catheterization: smooth or sticky?

2001· article· en· W2091714019 on OpenAlexaff
Mandy Fader, Katherine Moore, Alan Cottenden, L Pettersson, Rachel Brooks, James Malone‐Lee

Bibliographic record

VenueBritish Journal of Urology · 2001
Typearticle
Languageen
FieldMedicine
TopicUrinary Tract Infections Management
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsCatheterMedicineSurgeryProspective cohort studyAnesthesia

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.763
Threshold uncertainty score0.356

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.026
GPT teacher head0.286
Teacher spread0.260 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
Domainnot available
GenreEmpirical

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".

Quick stats

Citations37
Published2001
Admission routes1
Has abstractyes

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