Combined Hepatocellular Cholangiocarcinoma: A Population-Based Retrospective Study
Bibliographic record
Abstract
OBJECTIVES: Combined hepatocellular cholangiocarcinoma (CHC) is a rare form of primary liver cancer with features of hepatocellular carcinoma and cholangiocarcinoma. The objective of this study was to investigate the incidence, demographics, tumor characteristics, treatment, and survival of patients with CHC. METHODS: Data on CHC between 2004 and 2014 were extracted from the Surveillance, Epidemiology, and End Results Registry and analyzed. RESULTS: Five hundred twenty-nine patients with CHC were identified; 367 were male. Median age at diagnosis was 62.5 ± 12 years. The overall incidence of CHC between 2004 and 2014 was 0.05 per 100,000 per year. Incidence increased with age, with the highest incidence in men occurring between 60 and 64 years and 75-79 years for women. Women had a higher incidence of CHC compared to men (0.08 vs 0.03 per 100,000 per year). Most tumors were poorly differentiated (30.8%) while the most common stage at presentation was stage 4 (26.8%). 39.5% of these tumors were resected while 6.8% received radiation and 34% received chemotherapy. One- and 5-year cause-specific survival for CHC was 41.9% and 17.7%, respectively, with a median survival of 8 months. Worse outcomes were noted among patients with tumor stage 3 (hazard ratio [HR] 2.03, 95% confidence interval [CI] 1.44-2.87, P = 0.000), stage 4 (HR 1.71, 95% CI 1.06-2.75, P = 0.027), those not treated with surgery (HR 4.94, 95% CI 3.64-6.68, P = 0.000), those who did not receive radiation (HR 1.71, 95% CI 1.08-2.70, P = 0.021), those who did not receive chemotherapy (HR 1.54, 95% CI 1.20-1.99, P = 0.001), and those with increasing tumor size on chemotherapy (HR 1.00, 95% CI 1.00-1.00, P = 0.013). DISCUSSION: CHC is the combined presentation of 2 malignancies. Incidence appears to be increasing and is associated with age and male gender. While surgery, radiation, and chemotherapy are associated with improved outcomes, patients who did not undergo surgery are at highest risk for death.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".