Neoadjuvant hyperfractionated chemoradiation and liver transplantation for unresectable perihilar cholangiocarcinoma in Canada
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: Neoadjuvant chemoradiation and liver transplantation may be offered for unresectable perihilar cholangiocarcinoma (pCCA). This study aimed to determine the dropout rate and survival of patients who entered a national tri-modality protocol. METHOD: Patients enrolled Jan 2009-Aug 2015 were included. Enrolment criteria: ≤65 years, brush biopsy-proven unresectable pCCA <3.5 cm diameter. Conformal radiotherapy was given concurrently with Capecitabine. Following surgical staging, patients received maintenance Cisplatin and Gemcitabine until transplant or progression. Time to event analyses were performed from start of neoadjuvant therapy. RESULTS: Of 43 patients screened, 18 started treatment; median age 53.9 (26.7-62.8) years, tumour diameter 2.7 (2.0-3.4) cm. 11/18 dropped out due to metastatic disease identified during chemoradiation (n = 2), surgical staging (n = 6), or maintenance chemotherapy (n = 3). Six patients underwent transplantation. Median follow up was 17.6 (4.9-57.7) months and overall survival 16.4 months. One and two year survival was 70.6% and 35.3%, respectively. One and 2 year post transplant survival was 83.3% and 55.6%. Median progression free survival was 11.5 months. CONCLUSION: Neoadjuvant chemoradiation and liver transplantation for unresectable early stage pCCA is feasible, although with high rates of dropout and disease progression. Further research is required to determine factors to help select patients for treatment.
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".