First- and Second-Line Therapy for Metastatic Urothelial Carcinoma of the Bladder
Bibliographic record
Abstract
Urothelial cancer of the bladder is the 4th most common malignancy in American men and the 9th most common in women. Although it is a chemosensitive disease, advanced bladder cancer seems to have reached a plateau with regard to median survival of patients. Standard first-line therapy remains gemcitabine plus cisplatin (gc) or methotrexate, vinblastine, doxorubicin, and cisplatin (mvac). In patients deemed unfit to receive cisplatin, gemcitabine plus carboplatin or gemcitabine plus paclitaxel can be considered. To date, no standard therapy has been established for patients who recur or are refractory to first-line therapy. Second-line vinflunine, by way of superiority over best supportive care, has shown promise in a phase iii trial. Cisplatin-based therapy (mvac or gc) can also be offered to patients previously treated with cisplatin, especially if they responded previously and are considered platinum-sensitive. Novel targeted therapies are sorely needed to further improve the delivery and efficacy of chemotherapy.
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 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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.003 |
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".