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Record W2889184937 · doi:10.1097/mou.0000000000000548

A risk-stratified approach to the management of high-grade T1 bladder cancer

2018· review· en· W2889184937 on OpenAlexaff
Miles Mannas, TaeWeon Lee, Timo K. Nykopp, José Batista da Costa, Peter C. Black

Bibliographic record

VenueCurrent Opinion in Urology · 2018
Typereview
Languageen
FieldMedicine
TopicBladder and Urothelial Cancer Treatments
Canadian institutionsUniversity of British Columbia
FundersAmgen
KeywordsCystectomyMedicineBladder cancerLamina propriaLymphovascular invasionUrologyCarcinoma in situStage (stratigraphy)Urinary diversionCancerOncologySurgeryInternal medicinePathologyMetastasis

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: A bladder-preserving approach for high-grade nonmuscle invasive bladder cancer that has invaded the lamina propria (T1HG) may result in increased recurrence, progression, and even death from bladder cancer in some patients. Initial radical cystectomy does have increased cancer-specific survival (CSS), but represents significant overtreatment for many patients. An evidence-based, risk-stratified approach is required to select patients for immediate radical cystectomy in order to improve CSS. RECENT FINDINGS: A restaging transurethral resection aids in optimal staging and treatment of T1HG. Intravesical Bacillus Calmette-Guerin induction followed by 3 years of maintenance is the standard adjuvant management. However, when very high-risk (hydronephrosis, abnormal bimanual examination, variant histology, lymphovascular invasion, or residual disease on re-resection, and Bacillus Calmette-Guerin failure or early recurrence) or multiple high-risk factors (concomitant CIS, size >3 cm, multifocality, unfavorable tumor location, extensive lamina propria invasion, and elderly) are present, the risk of progression often outweighs the risk associated with radical cystectomy. In these cases, an immediate radical cystectomy likely provides an improved opportunity for cure compared to a bladder-preserving strategy. SUMMARY: In order to increase the CSS of patients diagnosed with T1HG bladder cancer, an aggressive approach may benefit those with increased risk of progression.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.969
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.122
GPT teacher head0.410
Teacher spread0.288 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations7
Published2018
Admission routes1
Has abstractyes

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