A Systematic Review and Network Meta-Analysis of Adjuvant Therapy for Curatively Resected Biliary Tract Cancers
Bibliographic record
Abstract
Background: Recent randomized controlled trials (rcts) have contributed high-quality data about adjuvant therapy in curatively resected biliary tract cancer (btc); however, a standard approach to treating those patients still has not been developed. Methods: We conducted a systematic review of published studies and abstracts up to and including June 2018, choosing rcts involving patients with btc receiving adjuvant chemotherapy after complete surgical resection. Network meta-analysis methods were used for indirect comparisons of overall survival (os) and relapse-free survival (rfs) for various adjuvant therapies. Results: Five rcts were included in qualitative synthesis, and three rcts (bilcap, prodige 12-accord 18, and bcat) had data sufficient for inclusion in the meta-analysis. Results from the indirect comparison demonstrated no significant improvement in os for capecitabine compared with gemcitabine or with gemcitabine-oxaliplatin (gemox), the hazard ratios (hrs) being 0.82 [95% confidence interval (ci): 0.53 to 1.27] and 0.86 (95% ci: 0.56 to 1.34) respectively. Similarly, no significant improvement in rfs was observed for capecitabine compared with gemcitabine or gemox. Conclusions: Although in the present analysis, we found no statistically significant improvements in os or rfs for capecitabine compared with gemox or gemcitabine, capecitabine can-until further prospective trials are completed-be considered the standard of care in the adjuvant setting based on a single randomized phase iii study.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.020 | 0.004 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".