Grading of bladder cancer: updates, controversies and practical solutions
Bibliographic record
Abstract
Bladder cancer grading provides important prognostic information to clinicians, and the assigned grade is used as a variable in risk stratification models. There have been multiple proposed grading schemes over the last century, with the most widely utilized in contemporary practice being the World Health Organization (WHO) 1973 and 2004 schemes, with WHO 2004 used almost exclusively in North America, and dual grading using both 2004 and 1973 is in widespread use in Europe. Recently, there has been increased interest in hybrid grading schemes for papillary bladder cancer. These combine features from both aforementioned schemes and have demonstrated prognostic performance that exceeds WHO 2004 and WHO 1973. In this article, we review the historical background and new concepts in bladder cancer grading, highlight the opinions and perspectives of clinicians and pathologists, and assess the challenges along with evidence for and against different grading schemes. We discuss the potential contribution of hybrid 3-tier grading of bladder cancer and how this could impact the classification of papillary urothelial neoplasms and shape future grading scheme proposals.
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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 | 0.008 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".