Intention to treat analysis of neoadjuvant chemoradiation and liver transplantation for perihilar cholangiocarcinoma.
Bibliographic record
Abstract
394 Background: Neoadjuvant chemoradiation and liver transplantation is an option for selected unresectable patients with early stage perihilar cholangiocarcinoma (pCCA). This study aimed to determine the dropout rate, morbidity and survival of patients who entered a modified tri-modality protocol at Princess Margaret Cancer Centre. Methods: All patients enrolled into the protocol (Jan 2009 – Aug 2015) were included in the analysis. Enrollment criteria: ≤ 65 years old with brush biopsy-proven, unresectable pCCA proximal to the cystic duct, < 3.5 cm in diameter. Neoadjuvant protocol consisted of conformal radiation therapy (54-75 Gy, 1.5 Gy BID) concurrent with Capecitabine 800 mg/m2 BID until radiation completion. Following surgical staging patients received maintenance chemotherapy (Cisplatin 25 mg/m2 and Gemcitabine 1000 mg/m2, day 1 and 8 of 21 day cycle), until transplant or progression. Intention to treat analyses were performed on prospectively collected data to determine time to progression (TTP), dropout rate, overall survival (OS), and number of biliary procedures. Results: Seventeen patients were enrolled, with a median age of 53.9 (26.7-62.8) years, and tumour diameter of 2.7 (2.0-3.4) cm. Five patients had primary sclerosing cholangitis. Median follow up was 14 (6-41) months. The cohort required a median of 3 (0-8) biliary stents, and percutaneous transhepatic biliary drainage in 11/17. Median TTP was 6 (2-16) months. Protocol dropout occurred in 10/17 due to metastatic disease identified during chemoradiation (2), surgical staging (6), or maintenance chemotherapy (2). No dropouts were due to neoadjuvant toxicity. Four patients underwent transplantation (two living donor, two deceased donor), and three are on the transplant waiting list. Median survival from first consultation and start of chemoradiation was 18.2 and 17 months, respectively. Conclusions: Neoadjuvant chemoradiation and liver transplantation for unresectable early stage pCCA is feasible, although dropout during the protocol is high. Less than half of patients who began the treatment protocol remained eligible for transplantation due to cancer progression or upstaging after surgical staging.
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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 | 0.018 | 0.018 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.006 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 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".