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The optimal form of urinary drainage after acute retention of urine

2001· article· en· W1537881186 on OpenAlexfundno aff
Manish I. Patel, Wendy Watts, A Grant

Bibliographic record

VenueBritish Journal of Urology · 2001
Typearticle
Languageen
FieldMedicine
TopicUrinary Tract Infections Management
Canadian institutionsnot available
FundersCanadian Institute of Steel Construction
KeywordsMedicineUrinary retentionUrinary systemProstatectomyIncidence (geometry)SurgeryInternal medicineProstate

Abstract

fetched live from OpenAlex

OBJECTIVE: To assess the outcome of different forms of urinary drainage, particularly for urinary tract infection (UTI), operative findings and patient preference, in patients treated for acute urinary retention (AUR). PATIENTS AND METHODS: A feasibility trial was conducted of men presenting with AUR; after a short period of indwelling catheterization (IDC) patients were taught how to use clean intermittent self-catheterization (CISC). Patients who failed this were re-catheterized and taught to manage a valve, or failing this a leg bag, and then discharged home. The patients were followed to assess the occurrence of spontaneous voiding, UTI, findings at prostatectomy and patient satisfaction. RESULTS: The CISC group (34 men) had a higher rate of spontaneous voiding than the IDC group (16 men; 56% vs 25%). The incidence of UTI was 32% in the CISC and 75% in the IDC group. At TURP, 20% in the CISC group had a UTI, compared with 69% in the IDC group. Patients using CISC preferred it and had fewer complications than the IDC group. The CISC group had a similar ability to manage and similar acceptance of their method of drainage as the IDC group. CONCLUSION: CISC is managed and accepted well by patients who can use the technique and results in fewer UTIs. It should be considered in patients who present with AUR, and it may delay surgery.

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.514
Threshold uncertainty score0.286

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.010
GPT teacher head0.253
Teacher spread0.243 · 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 designObservational
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

Citations49
Published2001
Admission routes1
Has abstractyes

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