Trends in relative survival in patients with a diagnosis of hepatocellular carcinoma in Ontario: a population-based retrospective cohort study
Bibliographic record
Abstract
BACKGROUND: The incidence of hepatocellular carcinoma (HCC) is increasing and survival rates are poor. Our objectives were to estimate the relative survival over time in patients with HCC in Ontario and to examine potential factors associated with excess mortality risk. METHODS: We performed a population-based retrospective cohort analysis involving patients with a diagnosis of HCC in Ontario between 1990 and 2009 using data extracted from the Ontario Cancer Registry. Relative survival was estimated by controlling for background mortality using expected mortality from Ontario life tables. A generalized linear model was used to estimate the excess mortality risk for important factors. RESULTS: A total of 5645 patients had HCC diagnosed during the study period; 4412 (78.2%) of these patients were male. Improvements in 1-year relative survival were observed across all age groups over time: the highest was among those patients less than 60 years of age who had a diagnosis of HCC during 2005-2009, with 1-year survival exceeding 50% for both sexes. However, the overall 5-year relative survival did not exceed 28%. The excess mortality risk decreased with increased years of follow-up, recent diagnosis, and curative or noncurative treatments for HCC, whereas excess mortality risk increased with age. INTERPRETATION: Although improving, the prognosis for HCC remains poor. Our findings highlight the importance of effective prevention and treatment for HCC to reduce the burden of disease and improve health care systems.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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".