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Record W4301656187 · doi:10.5489/cuaj.1194

The optimal management of T1 high-grade bladder cancer

2013· article· en· W4301656187 on OpenAlexvenueno aff
Kenneth G. Nepple, Michael A. O’Donnell

Bibliographic record

VenueCanadian Urological Association Journal · 2013
Typearticle
Languageen
FieldMedicine
TopicBladder and Urothelial Cancer Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsCystectomyBladder cancerMedicineDiseaseCancerStage (stratigraphy)OncologyResectionUrologyInternal medicineSurgeryBiology

Abstract

fetched live from OpenAlex

Stage T1Hg bladder cancer should be considered an aggressive andpotentially lethal disease. The importance of initial re-resection toidentify unrecognized muscle-invasive disease is significant. Mostpatients with high-risk disease are candidates for initial bladder salvagewith intravesical bacillus Calmette-Guerin vaccine forimmunotherapy, a procedure with a high survival rate; however,failure of the procedure may result in a guarded prognosis. Evenafter apparent success, patients should be informed of the risks ofthe disease progressing to muscle-invasive or metastatic diseaseand the need for vigilant monitoring. Despite optimal management,a significant number of patients relapse or progress to invasive diseaserequiring cystectomy. This review provides insight into theoptimal management of T1 high-grade bladder cancer.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.222
Threshold uncertainty score1.000

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)0.0020.000

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 head0.013
GPT teacher head0.248
Teacher spread0.235 · 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.

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

Citations37
Published2013
Admission routes1
Has abstractyes

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