Peri‐complication diagnosis of hepatitis C infection: Risk factors and trends over time
Bibliographic record
Abstract
BACKGROUND & AIMS: Hepatitis C virus (HCV) is a common and treatable cause of cirrhosis and its complications, yet many chronically infected individuals remain undiagnosed until a late stage. We sought to identify the frequency of and risk factors for HCV diagnosis peri-complication, that is within six months of an advanced liver disease complication. METHODS: This was a retrospective cohort study of Ontario residents diagnosed with chronic HCV infection between 2003 and 2014. HCV diagnosis peri-complication was defined as the occurrence of decompensated cirrhosis, hepatocellular carcinoma or liver transplant within ±6 months of HCV diagnosis. Multivariable logistic regression was used to identify risk factors for peri-complication diagnosis among all those diagnosed with HCV infection. RESULTS: Our cohort included 39,515 patients with chronic HCV infection, of whom 4.2% (n = 1645) were diagnosed peri-complication; these represented 31.6% of the 5,202 patients who developed complications in the follow-up period. Peri-complication diagnosis became more common over the study period and was associated with increasing age among baby boomers, alcohol use, diabetes mellitus, chronic HBV co-infection and moderate to high levels of morbidity. Female sex, immigrant status, having more previous outpatient physician visits, a previous emergency department visit, a history of drug use or mental health visits were associated with reduced risk of peri-complication diagnosis. CONCLUSIONS: Over a quarter of HCV-infected patients with complications were diagnosed peri-complication. This problem increased over time, suggesting a need to further expand HCV screening.
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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) | 0.000 | 0.000 |
| 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) | 0.007 | 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".