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Upper urinary tract urothelial carcinoma with loco‐regional nodal metastases: insights from the Upper Tract Urothelial Carcinoma Collaboration

2011· article· en· W1942258069 on OpenAlexaff
Ramy F. Youssef, Shahrokh F. Shariat, Yair Lotan, Christopher G. Wood, Arthur I. Sagalowsky, Richard Zigeuner, Eiji Kikuchi, Alon Z. Weizer, Jay D. Raman, Mesut Remzi, Wareef Kabbani, Cord Langner, Charles C. Guo, Marco Roscigno, Francesco Montorsi, Christian Bolenz, Wassim Kassouf, Vitaly Margulis

Bibliographic record

VenueBritish Journal of Urology · 2011
Typearticle
Languageen
FieldMedicine
TopicBladder and Urothelial Cancer Treatments
Canadian institutionsMcGill University
FundersUniversitätsmedizin MannheimClínica Alemana de SantiagoUniversität WienKeio University
KeywordsMedicineUrologyStage (stratigraphy)Lymph nodeConcomitantCohortUrothelial carcinomaCarcinomaChemotherapyPathologicalDissection (medical)CancerInternal medicineOncologySurgeryBladder cancer

Abstract

fetched live from OpenAlex

Study Type – Therapy (multi‐insititutional cohort) Level of Evidence 2b What’s known on the subject? and What does the study add? Neoadjuvant chemotherapy offers survival benefits for patients with urothelial carcinoma of the bladder. However, it is still underutilized in the ‘biologically similar’ upper tract urothelial carcinoma. Systemic chemotherapy in a neoadjuvant setting is a more attractive option, as loss of renal function after nephrectomy can complicate the administration of adjuvant chemotherapy. We found that preoperative systemic therapy followed by aggressive surgical debulking is a promising treatment strategy for upper tract urothelial carcinoma patients with known or at risk of loco‐regional nodal metastasis. OBJECTIVE • To describe a multicentre experience with preoperative platinum‐based chemotherapy before radical nephroureterectomy (RNU) in patients with upper tract urothelial carcinoma (UTUC) with loco‐regional nodal metastases. PATIENTS AND METHODS • We identified 313 patients from the UTUC Collaboration (over 1200 patients), who underwent RNU with concomitant retroperitoneal lymph node dissection between 1990 and 2007 and met the inclusion criteria for one of three groups. • Group 1 comprised patients who received chemotherapy before RNU because of biopsy‐proven loco‐regional nodal metastases. • Group 2 consisted of patients who underwent primary RNU and were found to have metastatic nodal disease on final pathological review (node‐positive). • Group 3 comprised a comparative cohort of patients treated with primary RNU for invasive or locally advanced (pT2/pT4) node‐negative (N0) UTUC. RESULTS • Groups 1, 2 and 3 included 18, 120 and 175 patients, respectively. The 5‐year disease‐free survival rates were 49%, 30% and 64%, whereas the 5‐year cancer‐specific survival rates were 44%, 36% and 69% in groups 1, 2 and 3, respectively. • In group 1, on final pathological evaluation, nine patients were pN0, six patients were pT0 and five patients had pT0N0 disease. Kaplan–Meier survival analyses showed similar recurrence and survival rates in group 1 compared with group 3 ( P = 0.14 and P = 0.06, respectively). • Meanwhile, group 2 had significantly lower disease‐free and cancer‐specific survival rates compared with group 3 ( P < 0.001 and P < 0.001, respectively) and compared with group 1 ( P = 0.04 and P = 0.06, respectively). CONCLUSIONS • Preoperative chemotherapy followed by aggressive surgical consolidation may yield favourable oncological outcomes in patients with UTUC with loco‐regional nodal metastases. • These data support further evaluation of neoadjuvant systemic therapy in patients at risk for locally advanced UTUC.

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)0.010
metaresearch head score (Gemma)0.015
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 score0.010
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.003
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.000
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 head0.022
GPT teacher head0.248
Teacher spread0.225 · 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

Citations74
Published2011
Admission routes1
Has abstractyes

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