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Record W2096184386 · doi:10.1586/era.09.148

Management of patients with advanced bladder cancer following major response to systemic chemotherapy

2009· article· en· W2096184386 on OpenAlexaff
Faysal A. Yafi, Wassim Kassouf

Bibliographic record

VenueExpert Review of Anticancer Therapy · 2009
Typearticle
Languageen
FieldMedicine
TopicBladder and Urothelial Cancer Treatments
Canadian institutionsMcGill University
Fundersnot available
KeywordsMedicineChemotherapyCystectomyMetastasectomyBladder cancerOncologyLymphadenectomyMetastasisRadiation therapyInternal medicineSurgeryCancer

Abstract

fetched live from OpenAlex

Chemotherapy continues to be the treatment of choice for advanced/metastatic bladder cancer. Although response rates as high as 70% have been achieved, there continue to be high progression rates and poor long-term survival. Surgical consolidation offers improved outcomes compared with chemotherapy alone, especially in patients who achieve complete clinical response to chemotherapy. The role of radiation and/or surveillance following major response to chemotherapy in patients with advanced disease remains unclear. Gross regional nodal involvement identified at the time of surgery does not preclude radical cystectomy with lymphadenectomy. Retroperitoneal lymph node dissection may be beneficial to select patients with nonregional retroperitoneal nodal metastasis who achieve good clinical response to chemotherapy. Visceral or lung metastasectomy may be offered to patients with solitary metastasis who achieve a good and durable response to chemotherapy. Nonresponders should be either offered a clinical trial (if available), second-line chemotherapy or best supportive care.

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)0.000
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.010
GPT teacher head0.331
Teacher spread0.321 · 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

Citations10
Published2009
Admission routes1
Has abstractyes

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