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Record W2101003375 · doi:10.1159/000090917

Early Catheter Removal following Transurethral Prostatectomy: A Study of 431 Patients

2006· article· en· W2101003375 on OpenAlexaffabout
Tatsuo Nakagawa, Allan G. Toguri

Bibliographic record

VenueMedical Principles and Practice · 2006
Typearticle
Languageen
FieldMedicine
TopicUrinary Tract Infections Management
Canadian institutionsThe Scarborough Hospital
Fundersnot available
KeywordsMedicineCatheterSurgeryProstatectomyCystostomyAnesthesiaProstateInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVES: To assess and review catheter removal on the first day after transurethral prostatectomy. SUBJECTS AND METHODS: The study included 431 consecutive patients who underwent transurethral prostatectomy between 2000 and 2003 at a Scarborough General Hospital, Toronto, Canada. The equipment used was a standard resectoscope with a regular loop. No roller ball or other gadget was used. The cutting and coagulation electrical variables were standard at 160 and 60 W for the generator used. The decision to remove the catheters was based on normal vital signs, adequate urine output, absence of clots and acceptable color of the catheter effluent. RESULTS: Catheters were removed in 415 (96.3%) patients on postoperative day 1. Of the 415 patients 332 (80.0%) were discharged on the same day. The criteria for catheter removal on postoperative day 1 were not met in 16 (3.7%) patients and the mean indwelling catheter time was 4.8 +/- 2.4 days and the mean length of hospital stay after surgery was 6.2 +/- 3.3 days. For the entire group, the mean indwelling catheter time was 1.1 +/- 0.8 days and the mean length of hospital stay after surgery was 1.6 +/- 1.5 days. Risk factors which predicted delayed removal were age, postoperative bleeding and several comorbidities, that is coronary heart disease, renal insufficiency and Alzheimer's disease. CONCLUSIONS: Removal of the catheter on the first postoperative day after transurethral prostatectomy seems to be feasible, safe and cost-effective without increasing significant morbidity in selected patients.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.022
GPT teacher head0.302
Teacher spread0.280 · 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 source (direct Gemma or distilled Codex), 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

Citations12
Published2006
Admission routes2
Has abstractyes

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