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Record W4399359124 · doi:10.5489/cuaj.8828

Poster Session 3: Oncology – Bladder

2024· article· en· W4399359124 on OpenAlexvenueaboutno aff
Editor CUAJ

Bibliographic record

VenueCanadian Urological Association Journal · 2024
Typearticle
Languageen
FieldMedicine
TopicBladder and Urothelial Cancer Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsCystectomyMedicineBladder cancerProportional hazards modelRetrospective cohort studyInternal medicineOncologyComorbidityCancer

Abstract

fetched live from OpenAlex

Introduction: although previous studies have suggested that patients who progress to muscle-invasive bladder cancer (secondary mIBc) after previous treatment for non-invasive disease have worse outcomes than those that present de novo (primary mIBc), contemporary studies have been conflicting.Further, most analyses have generally not assessed possible explanatory factors, although there is emerging evidence that secondary mIBc may be more resistant to perioperative chemotherapy.the aim of the current study was to assess whether there were differences in downstaging, and its association with survival outcomes, in patients with primary mIBc as compared to secondary mIBc in a large, retrospective cohort of patients from tertiary care centers.Methods: this retrospective, multicenter study used the canadian Bladder cancer information system (cBcis) database, a registry that includes patient, tumor, and treatment data from 14 centers across canada.the main study outcome was the rate of downstaging at cystectomy, defined as <pt2.descriptive statistics were used to compare baseline demographic factors.cox's proportional hazards models and multivariable regression analyses, adjusted for key patient and treatment variables, were performed to assess factors associated with downstaging, as well as overall survival (os).Results: during the study period, 908 patients received cystectomy between January 5, 2017, and september 1, 2020.patients had localized primary mIBc (n=678) or secondary mIBc (n=230) at the time of turBt.there were no observed differences in baseline variables based on mIBc status (primary vs. secondary), including sex, age at surgery, comorbidity, clinical stage, variant pathology, or use of neoadjuvant chemotherapy (nac, 47% vs. 44%, p=0.43).postoperatively, there were observed differences in rate of lymph node metastases (primary vs. secondary; 16% vs. 59%, p=0.037) and subsequent use of adjuvant chemotherapy (5 vs. 9%, p=0.016).downstaging to <pt2 for those with primary mIBc was 28% vs. 14% with secondary mIBc (p<0.001) and downstaging to pt0 was 15% vs. 5%, respectively.multivariable analysis of factors associated with downstaging at cystectomy included urothelial (vs.variant) pathology (or 6.39, 95% cI 3.22-12.69),use of nac (or 2.23, 95% cI 1.39-3.60),and primary vs. secondary mIBc (or 2.65, 95% cI 1.50-4.71).lower os was also associated with those with secondary vs. primary mIBc (Hr 2.90, 95% cI 1.64-5.14,p<0.0001).Conclusions: In this large, multicenter registry of patients with mIBc, those who had secondary, progressed disease were observed to have decreased survival on multivariable analysis.Further, those cases were associated with lower downstaging rates post-cystectomy vs. those with de novo, primary mIBc.limitations of these observations include selection biases of those registered in cBcis and incomplete details of previous management for non-invasive disease.although these observations are likely confounded by assessed clinical stage at the time of cystectomy, they support further work investigating the chemosensitivity of mIBc that has progressed from non-invasive disease, as it may represent a more global, treatment-resistant phenotype.

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.420
Threshold uncertainty score0.827

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0010.003
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.4200.186

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 head0.018
GPT teacher head0.289
Teacher spread0.271 · 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.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2024
Admission routes2
Has abstractyes

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