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Prognostic factors and outcome in patients with T1 high‐grade bladder cancer: can we identify patients for early cystectomy?

2011· article· en· W1938769679 on OpenAlexaff
Robert Segal, Faysal A. Yafi, Fadi Brimo, Simon Tanguay, Armen Aprikian, Wassim Kassouf

Bibliographic record

VenueBritish Journal of Urology · 2011
Typearticle
Languageen
FieldMedicine
TopicBladder and Urothelial Cancer Treatments
Canadian institutionsMcGill University Health Centre
Fundersnot available
KeywordsCystectomyBladder cancerMedicineOutcome (game theory)OncologyUrothelial cancerInternal medicineCancer

Abstract

fetched live from OpenAlex

Study Type – Therapy (case series) Level of Evidence 4 What's known on the subject? and What does the study add? Although several papers have attempted to identify individual risk factors for T1 high‐grade (T1HG) urothelial carcinoma of the bladder for disease recurrence or progression, and nomograms have been generated to aid in the prediction of disease progression, there has been a lack of systematic examination of which factors predict clinically important outcomes. Treatment of T1HG remains controversial, particularly with regards to timing of radical cystectomy. Patients with T1HG bladder cancer are at a significant risk of progression and death from disease. Primary tumours, sessile architecture, and trigonal location are factors associated with worse outcome and may be used to counsel patients towards early cystectomy. OBJECTIVE To assess outcome in patients with T1 high‐grade (T1HG) bladder cancer treated at a single academic institution and to determine the prognostic factors that can help in counselling patients towards early cystectomy. PATIENTS AND METHODS Records of 2570 patients with bladder cancer treated from 1995 to 2005 were reviewed. Only patients diagnosed with T1HG disease were included in the analysis. Collected variables included various clinicopathological parameters, use of statins, smoking, as well as dates of recurrence, progression, radical cystectomy and death. Recurrence‐free survival (RFS) and worsening‐free survival (WFS) were analyzed. Multivariate Cox proportional regression analysis was employed to verify the prognostic significance of various variables. RESULTS In total, 278 (10.8%) patients were identified as having T1HG disease on transurethral resection. 66% of patients who recurred, and 36.3% developed stage progression after a median (range) follow‐up of 3 (0.1–15.4) years. 30% patients who underwent radical cystectomy, and 9% were dead of disease. The 5‐year RFS and WFS rates were 26.6% and 49.4%, respectively. On multivariate analysis, only non‐trigonal tumour location, restaging transurethral resection, history of previous carcinoma not invading bladder muscle and adjuvant bacille Calmette‐Guérin (BCG) therapy were significantly associated with prolonged RFS, whereas papillary tumour architecture, history of previous carcinoma not invading bladder muscle and adjuvant BCG therapy were significantly associated with prolonged WFS. CONCLUSIONS Patients with T1HG bladder cancer are at a significant risk of progression and death from disease. Primary tumours, sessile architecture and trigonal location are factors associated with a worse outcome and may be used to counsel patients towards early cystectomy.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.617

Codex and Gemma teacher scores by category

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

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 head0.023
GPT teacher head0.264
Teacher spread0.241 · 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 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

Citations60
Published2011
Admission routes1
Has abstractyes

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