Inflammation and Urothelial Bladder Cancer: What we Need to Known? (Review)
Bibliographic record
Abstract
The association between inflammation and bladder cancer has been debated in several studies, highlighting that inflammation may be a crucial component both in tumor development or progression. On the other hand, several authors suggest that the presence of an inflammatory cell infiltrate within the urothelial bladder cancer is a good prognostic predictor in terms of recurrence-free survival time. The question is: What is the prognostic role of inflammation in patients affected by urothelial bladder cancer? On one hand, chronic inflammation should be considered a risk factor in developing bladder cancer, as demonstrated by Schistosoma haematobium infection and, on the other hand, the inflammation induced by the Bacillus Calmette-Guérin intravesical therapy has a protective effect on cancer recurrence. Recently, some authors highlight that the presence of an inflammatory cell infiltrate within the urothelial bladder cancer is a good prognostic predictor in terms of recurrence-free survival time, due to the host generating angiogenic stimulation of a local inflammatory reaction against cancer. This is probably due to the angiogenetic stimulation of a local inflammatory reaction generated by the host against superficial bladder cancer. However, the debate is still open. This review will summarize recent data regarding inflammation and urothelial cell carcinoma, with special emphasis on the role that the inflammatory response is likely to have on recurrence risk and progression in superficial bladder cancer patients.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".