1470 PROGRESSION TO MUSCLE INVASION DURING SURVEILLANCE OF UROTHELIAL CARCINOMA IS ASSOCIATED WITH POOR PROGNOSIS
Bibliographic record
Abstract
You have accessJournal of UrologyBladder Cancer: Superficial II1 Apr 20101470 PROGRESSION TO MUSCLE INVASION DURING SURVEILLANCE OF UROTHELIAL CARCINOMA IS ASSOCIATED WITH POOR PROGNOSIS Rodney Breau, R. Jeffrey Karnes, Bradley Leibovich, Sarah Farmer, Chris Morash, Ilias Cagiannos, Michael Blute, and Igor Frank Rodney BreauRodney Breau Rochester, MN More articles by this author , R. Jeffrey KarnesR. Jeffrey Karnes Rochester, MN More articles by this author , Bradley LeibovichBradley Leibovich Rochester, MN More articles by this author , Sarah FarmerSarah Farmer Rochester, MN More articles by this author , Chris MorashChris Morash Ottawa, Canada More articles by this author , Ilias CagiannosIlias Cagiannos Ottawa, Canada More articles by this author , Michael BluteMichael Blute Rochester, MN More articles by this author , and Igor FrankIgor Frank Rochester, MN More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2010.02.1185AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookTwitterLinked InEmail INTRODUCTION AND OBJECTIVES Despite aggressive surveillance and timely cystectomy, many patients who initially present with non-muscle invasive urothelial carcinoma (UC) eventually experience metastatic progression. The purpose of this study was to evaluate outcomes of patients who present with non-muscle invasive UC and progress to muscle invasion prior to cystectomy. METHODS 981 consecutive cystectomy patients without a history of radiation or systemic chemotherapy were reviewed. Of these, 500 had non-muscle invasive disease at initial presentation. Group 1 (n=310) had cystectomy prior to muscle invasion, Group 2 (n=190) had cystectomy when they progressed to muscle invasion and Group 3 (n=481) had muscle invasion at initial presentation. RESULTS For groups 1 to 3, 5-year cancer-specific survival rates were 85.4%, 52.9% and 62.4% (p<0.001); and 5-year overall survival rates were 70.0%, 42.1% and 49.5% (p<0.001). Of the patients who initially presented with non-muscle invasive disease, progression to muscle invasion was associated with increased risk of cancer specific death (Adjusted HR 2.38; 95% CI 1.6, 3.5). In addition, patients who progressed to muscle invasion on surveillance had worse outcomes compared to patients who initially presented with muscle invasion (overall survival HR 1.3; 95%CI 1.0, 1.5). CONCLUSIONS Despite close surveillance, many patients who progress to muscle invasion will die from UC. Patients who progress to muscle invasion on surveillance seem to have particularly aggressive disease and may benefit from neoadjuvant systemic chemotherapy. © 2010 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 183Issue 4SApril 2010Page: e566-e567 Advertisement Copyright & Permissions© 2010 by American Urological Association Education and Research, Inc.Metrics Author Information Rodney Breau Rochester, MN More articles by this author R. Jeffrey Karnes Rochester, MN More articles by this author Bradley Leibovich Rochester, MN More articles by this author Sarah Farmer Rochester, MN More articles by this author Chris Morash Ottawa, Canada More articles by this author Ilias Cagiannos Ottawa, Canada More articles by this author Michael Blute Rochester, MN More articles by this author Igor Frank Rochester, MN More articles by this author Expand All Advertisement Advertisement PDF downloadLoading ...
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".