Multi-institutional quality care initiative (QCI) to improve the care of patients with invasive bladder cancer (BlCa).
Bibliographic record
Abstract
298 Background: Level 1 evidence supports a survival benefit for BlCa pts that receive periop cisplatin chemotherapy in addition to radical cystectomy (RC). Underutilization of multimodal therapy has been reported nationally. We instituted a multicenter QCI to improve the use of periop chemotherapy. Methods: A two phase effort was initiated at 16 academic institutions. Phase 1 was initiated in 2010 and designed to evaluate baseline patterns of periop chemotherapy use for T2-4N0M0 BlCa pts that underwent RC between 2003-2008. Phase 2 was a prospective QCI. The quality indicators included (1) referral to medical oncology for consideration of multimodality therapy, (2) neoadjuvant, if recommended, be cisplatin based and at least 3 cycles, (3) adjuvant, if recommended, be cisplatin based and at least 3 cycles, (4) all treatment be completed within 6 months. Data on all eligible pts were collected prospectively for 12 months on a web-based survey system. Results: All 16 centers participated in phase 1. Of 4,344 pts on whom data was available, 34% received periop chemotherapy. Neoadjuvant and adjuvant therapy use was 14% and 20%, respectively. 65% of pts receiving periop chemotherapy were treated with a cisplatin-based regimen. Of those treated neoadjuvantly, cisplatin was received in 70% of cases. Nine of the 16 institutions completed phase 2 data collection. Over 700 pts that underwent RC were evaluated. 395 pts with T2-4N0M0 disease were deemed eligible for data entry. Fifty-six percent of eligible pts received periop systemic chemotherapy. Of this 56%, 47% received neoadjuvant cisplatin chemotherapy and 9% received adjuvant cisplatin chemotherapy. This represented a 64.7% increase in the use of any periop chemotherapy and a 3.4 fold increase in neoadjuvant chemotherapy compared to baseline data. Conclusions: We have successfully completed a multi-institutional QCI to improve the use of periop chemotherapy in pts undergoing RC for resectable, non-metastatic bladder cancer. Our data demonstrates that significant improvements can be achieved in not only overall use of periop chemotherapy but most notably in the use of neoadjuvant chemotherapy.
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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 | 0.039 | 0.049 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".