Bladder cancer in young adults: Disease and treatment characteristics of patients treated at tertiary cancer center.
Bibliographic record
Abstract
e16521 Background: The incidence of bladder cancer in the Middle East is increasing. The data on young population with urothelial carcinoma (UC) of urinary bladder in the region is scarce. We evaluated clinical and tumor characteristics, in addition to management details in patients younger than 45 years old. Methods: We reviewed of all patients presenting with UC of the urinary bladder from July 2006 to December 2019. Clinical characteristics including demographics, stage at presentation, and treatment outcomes were described. Results: Out of 1,272 new cases of bladder cancer, a total of 112 patients (8.8%) were ≤45 years old. Seven patients (6%) had non-urothelial histology and were excluded. The remaining 105 eligible patients with UC had a median age at presentation was 41 years (35-43). Ninety three patients (88.6%) were males. Tumor stage at presentation: non-muscle invasive disease (Ta-T1), locally advanced muscle invasive bladder cancer (MIBC) (T2-3), and metastatic disease were 14 cases (84.7%), 2.8%, and 12.5%, respectively. All patients with MIBC received neoadjuvant cisplatin-based chemotherapy. Radical cystectomy was performed in 8 cases (7.6%); 3 patients with MIBC and 5 with high volume non-MIBC. Neobladder reconstruction was done in 6 patients. A total of 13 patients with metastatic disease (93%) received palliative chemotherapy (Gemcitabine/Cisplatin), and one (7%) was candidate of best supportive care only. Conclusions: Bladder cancer is relatively rare in young population, though the incidence at our region is higher than other reports in the literature. Most of patients present with early disease. Early diagnosis and multidisciplinary approach are paramount for management of these 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 | 0.000 | 0.001 |
| 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 | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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".