Second-line Chemotherapy Prolongs Survival in Real World Patients With Advanced Biliary Tract and Gallbladder Cancers
Bibliographic record
Abstract
BACKGROUND: Limited evidence is available regarding the survival benefit of second-line therapy in real world patients with advanced biliary tract and gallbladder cancer. Until very recently, there was a lack of randomized clinical trials to address this important question. In this multicenter population-based cohort study, the authors evaluated whether second-line therapy improves the survival of real world patients with advanced biliary tract and gallbladder cancer. METHODS: Patients with biopsy-proven advanced biliary tract and gallbladder cancer who were diagnosed during the period of 2006 to 2015 and had received first-line chemotherapy were assessed. Cox proportional multivariate analysis was performed to determine the survival benefit of second-line therapy. RESULTS: One hundred thirty-six eligible patients with a median age of 66 years and male:female ratio of 1:1.34 were identified. Sixty-eight percent of patients had metastatic disease. Primary tumor sites were as follows: gallbladder 31%, intrahepatic cholangiocarcinoma 36%, extrahepatic bile duct 23%, and ampullary cancer 10%. Overall, 37% of patients received second-line therapy. The median overall survival of the treatment group was 17 months (95% confidence interval [CI]: 12.5-21.5) compared with 7 months (95% CI: 5.3-8.7) in the control (P<0.0001). Patients who received combination chemotherapy had a median overall survival of 20 months (14.0-26.1) compared with 17 months (13.5-20.5) if they received single-agent second-line therapy (P=0.73). Multivariate analysis of second-line therapy, hazard ratio: 0.55 (95% CI: 0.36-0.83) and neutrophil to lymphocyte ratio >2, HR: 1.10 (1.05-1.15) showed a significant correlation with survival. CONCLUSIONS: This well-designed population-based retrospective cohort study suggests that second-line chemotherapy improves survival of real world patients with advanced biliary tract and gallbladder cancers and should be offered to the patients who are potential candidates for chemotherapy.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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".