Immigrant patients with chronic hepatitis C and advanced fibrosis have a higher risk of hepatocellular carcinoma
Bibliographic record
Abstract
To explore the impact of the differences in baseline characteristics between immigrants with chronic hepatitis C (CHC) and native-born patients on the prognosis of advanced fibrosis. A retrospective cohort study was conducted in 318 patients (including 128 immigrants) with CHC and advanced fibrosis attending a tertiary referral clinic. Patients' medical records were reviewed to collect data describing immigrant status, baseline characteristics, and liver-related clinical outcomes. Kaplan-Meier (KM) analyses and Cox proportional-hazards regression analyses were performed to explore the differences between the two groups with respect to clinical outcomes. Relative to native-born patients, immigrant patients were older, more likely to be female, and more likely to be Asian. Immigrants were less likely to be heavy drinkers, heavy smokers, injection drug users, and more likely to have type 2 diabetes. KM analyses indicated that immigrant patients had a significantly higher risk of hepatocellular carcinoma (HCC) than Canadian-born patients (P = 0.005). Univariate Cox proportional-hazards analyses indicated that immigrant status (hazard ratio (HR) 2.22; P = 0.006), age (HR 1.07; P < 0.001), heavy drinking (HR 2.69; P = 0.001), heavy smoking (HR 2.03; P = 0.019), and type 2 diabetes (HR 2.06; P = 0.011) were significantly associated with the risk of HCC. Multivariable Cox proportional-hazards analyses showed that immigrant status was not an independent risk factor for HCC (HR 1.37; P = 0.318) after adjusting for age and type 2 diabetes. Older age and higher prevalence of type 2 diabetes accounted for the increased risk of HCC among immigrant patients with CHC and advanced fibrosis.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".