Nomogram-based risk prediction of local and distant relapse after radical cystectomy, and role of perioperative chemotherapy, in patients with muscle-invasive bladder cancer (MIBC): A multicenter study.
Bibliographic record
Abstract
448 Background: Neoadjuvant and adjuvant chemotherapy improve relapse-free survival (RFS) and overall survival of patients (pts) with MIBC. Limited information is available regarding risk prediction of local (RL) vs. distant relapse (RD), including role of perioperative chemotherapy (POC), added to radical cystectomy (Cy). Methods: Data from 1,559 pts, treated at 29 centers from the U.S., Europe, Israel, and Canada, were collected. Pts received Cy for MIBC from 02/90 to 12/13. Of these pts, 782 (50.2%) received POC and Cy, 777 (49.8%) Cy alone. RL and RD were defined as follows: pelvic lymph-nodes/soft tissue only and any extra-pelvic recurrences, respectively. Cumulative incidence methods were used to estimate time-to-(TT) RL/RD, which accounts for the competing risk of other types of relapse. Univariable and multivariable (MVA) Cox regression analyses were performed from the complete-case dataset (n = 1,082). Risk groups were defined according to the number of adverse factors, with corresponding nomogram-based RL and RD risk estimation. All tests were two-sided and statistical significance was defined as a p-value of 0.05 or less. Results: A total of 830 pts (55%) developed a relapse, 447 in the Cy group and 383 in the Cy+POC group. On MVA, POC administration was associated with longer TTRL (p < 0.001) and TTRD (p < 0.001). Other factors associated with RL: histology (non-UC, odds ratio [OR] = 1.47, 95%CI: 1.07-2.01, p = 0.022), pT-stage (p < 0.001), pN-stage (p = 0.038), surgical margins (p < 0.001). For RD: Charlson score (p = 0.006), pT-stage (p < 0.001), pN-stage (p < 0.001). The c-index of the model for RL was 0.685 (95% bootstrapped CI: 0.664-0.718), and for RD was 0.684 (0.655-0.721). Three risk group categories were obtained for both endpoints (0, 1-2, and > 2 risk factors). Results were confirmed after applying 90-day or 180-day landmark analyses, pending external validation. Conclusions: In the largest study that separately analyzed RL and RD risk, we were able to provide risk tools that may be used to optimize locoregional treatments and compare POC benchmark with new drugs in the perioperative setting.
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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".