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Record W2169544327 · doi:10.1089/end.2013.0053

The Transurethral Suprapubic endo-Cystostomy (T-SPeC): A Novel Suprapubic Catheter Insertion Device

2013· article· en· W2169544327 on OpenAlexaffabout
Lawrence I. Karsh, R. Blair Egerdie, David Albala, Brian J. Flynn

Bibliographic record

VenueJournal of Endourology · 2013
Typearticle
Languageen
FieldMedicine
TopicUrinary Tract Infections Management
Canadian institutionsAssociated Medical Services
Fundersnot available
KeywordsMedicineCystostomyCatheterSurgeryPercutaneousSpec#Suprapubic cystostomyCystoscopyUrinary catheterizationUrethraUrinary systemInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND AND PURPOSE: Current methods of suprapubic cystostomy (SPC) catheter insertion may be difficult for patients in poor health and can result in significant morbidity and mortality. These include a highly invasive open procedure, as well as the use of the percutaneous trocar punch methods, commonly associated with short-term SPC. We present the first human experience with the Transurethral Suprapubic endo-Cystostomy (T-SPeC(®)) device, a novel disposable device used for introducing a suprapubic catheter via a retrourethral (inside-to-out) approach similar to the Lowsley technique. PATIENTS AND METHODS: Four men at St. Mary's General Hospital in Kitchener Ontario, Canada, received the T-SPeC device (model T7) under general anesthesia. RESULTS: Patients had no complications from catheterization using the T-SPeC T7 Surgical System. The mean surgical time of the four procedures was 9.7 minutes, with a range of 7.9 to 13.5 minutes, including instrument preparation and cystoscopy. All four procedures were highly accurate and rapid. There were no complications and minimal blood loss from the procedure. CONCLUSIONS: We found that the T-SPeC device allows for efficient and safe insertion of a suprapubic catheter in an outpatient setting and may be a useful addition to the urologic armamentarium. The T-SPeC Surgical System facilitates rapid and precise suprapubic catheter placement.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.497
Threshold uncertainty score0.561

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.018
GPT teacher head0.264
Teacher spread0.245 · 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 designNot applicable
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

Citations4
Published2013
Admission routes2
Has abstractyes

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