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Record W2127663325 · doi:10.5489/cuaj.1162

Intermittent self-catheterization and the risk of squamous cell cancer of the bladder: An emerging clinical entity?

2013· article· en· W2127663325 on OpenAlexvenueno aff
Rowan G. Casey, Ivor M. Cullen, Tom Crotty, David M. Quinlan

Bibliographic record

VenueCanadian Urological Association Journal · 2013
Typearticle
Languageen
FieldMedicine
TopicBladder and Urothelial Cancer Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCystoscopySquamous metaplasiaCancerSquamous cell cancerUrinary systemBasal cellCohortBladder cancerInternal medicineOncologyUrologyPathology

Abstract

fetched live from OpenAlex

There are only 7 cases reported in the literature of squamous cell cancer of the bladder in patients performing intermittent self-catheterization (ISC). We report on an eighth case, and the first case described in a patient with a Mitrofanoff continent appendicovesicostomy. A description of the case and review of the literature are presented. Risk factors for squamous cell cancer include recurrent urinary tract infections, keratinising squamous metaplasia (leukoplakia) and local mucosal trauma from intermittent self-catheterization. There is no recognized or validated monitoring program for patients performing ISC who may also have these risk factors. Reasonable protocols may include regular urinary cytology and cystoscopy with random or targeted bladder biopsies. Squamous cell cancer may present late in this cohort of patients and is associated with a dismal prognosis.

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)0.001
metaresearch head score (Gemma)0.004
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 score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0030.001
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 head0.014
GPT teacher head0.266
Teacher spread0.253 · 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

Citations23
Published2013
Admission routes1
Has abstractyes

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