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Predictors of cancer‐specific mortality after disease recurrence following radical cystectomy

2012· article· en· W1608454431 on OpenAlexaff
Michael Rink, Daniel J. Lee, Matthew Kent, Évanguelos Xylinas, Hans‐Martin Fritsche, Marko Babjuk, A. Brisuda, Jens Hansen, David A. Green, Atiqullah Aziz, Giacomo Novara, Felix K.‐H. Chun, Yair Lotan, Patrick J. Bastian, Derya Tilki, Paolo Gontero, Armin Pycha, Jack Baniel, Roy Mano, Vincenzo Ficarra, Quoc‐Dien Trinh, Scott T. Tagawa, Pierre I. Karakiewicz, Douglas S. Scherr, Daniel D. Sjoberg, Shahrokh F. Shariat

Bibliographic record

VenueBritish Journal of Urology · 2012
Typearticle
Languageen
FieldMedicine
TopicBladder and Urothelial Cancer Treatments
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsMedicineCystectomyBladder cancerProportional hazards modelDiseaseHazard ratioLymphadenectomyPrognostic variableInternal medicineCancerOncologyChemotherapySurgeryAdjuvant therapyConfidence interval

Abstract

fetched live from OpenAlex

UNLABELLED: Study Type - Therapy (case series) Level of Evidence 4 What's known on the subject? and What does the study add? Outcomes after disease recurrence in patients with urothelial carcinoma of the bladder treated with radical cystectomy are variable, but the majority of patients die from the disease within 2 years after disease recurrence. Knowledge about prognostic factors that may influence survival after disease recurrence is limited. We found that outcomes after disease recurrence in patients with urothelial carcinoma of the bladder are significantly affected by common clinicopathological factors. In addition, a shorter time from surgery to disease recurrence is significantly associated with poor outcomes. These factors should be considered when scheduling salvage chemotherapy protocols/clinical trials. OBJECTIVE: To describe the natural history following disease recurrence after radical cystectomy (RC) and to identify prognostic factors that influence cancer-specific survival with special focus on time from RC to disease recurrence. METHODS: We identified 1545 patients from 16 international institutions who experienced disease recurrence after RC and bilateral lymphadenectomy. None of the patients received preoperative chemotherapy; 549 patients received adjuvant chemotherapy. A multivariable Cox regression model addressed time to cancer-specific mortality after disease recurrence. RESULTS: The median cancer-specific survival time after disease recurrence was 6.9 months (95% CI 6.3-7.4). Overall, 1254 of 1545 patients died from urothelial carcinoma of the bladder and 47 patients died from other causes. The actuarial cancer-specific survival estimate at 12 months after disease recurrence was 32%. On multivariable analysis, non-organ-confined tumour stages (hazard ratio [HR] 1.38, P= 0.002), lymph node metastasis (HR 1.25, P < 0.001), positive soft tissue surgical margin (HR 1.32, P= 0.002), female gender (HR 1.21, P= 0.003), advanced age (HR 1.16, P < 0.001) and a shorter interval from surgery to disease recurrence (P < 0.001) were significantly associated with cancer-specific mortality. The adjusted risk of death from cancer within 1 year after disease recurrence for patients who recurred 6, 12 and 24 months after surgery was 70%, 64% and 60%, respectively. CONCLUSIONS: Over two-thirds of patients who experience disease recurrence of urothelial carcinoma of the bladder after RC die within 12 months. Common clinicopathological factors are strongly associated with cancer-specific mortality. A shorter time from surgery to disease recurrence is significantly associated with poor outcomes. Accurate risk stratification could help in patient counselling and decision-making regarding salvage treatment.

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 score0.082
Threshold uncertainty score0.438

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)0.0000.000

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 head0.019
GPT teacher head0.297
Teacher spread0.278 · 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

Citations85
Published2012
Admission routes1
Has abstractyes

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