Hepatitis C virus and risk of non‐Hodgkin lymphoma in British Columbia, Canada
Bibliographic record
Abstract
We investigated Hepatitis C virus (HCV) seropositivity and the risk of non-Hodgkin lymphoma (NHL) in a population-based case-control study in British Columbia, Canada. Cases were aged 20-79, diagnosed between March 2000 and February 2004, and resident in greater Vancouver or Victoria. Cases with HIV or a prior transplant were excluded. Controls were chosen from the Client Registry of the British Columbia (BC) Ministry of Health, and were age/sex/region frequency matched to cases. Antibodies for HCV were measured in 795 cases and 697 control subjects. HCV seropositivity was 2.4% in cases and 0.7% in controls [odds ratio (OR) = 2.6, 95% confidence interval (CI) = 0.9-7.4]. A significantly elevated risk was observed for B-cell lymphoma (OR = 2.9, 95%CI = 1.0-8.6). The highest risks were associated with diffuse large B-cell lymphoma (OR = 7.3, 95%CI = 2.1-25.0) and marginal zone lymphoma (OR = 6.1, 95%CI = 1.1-33.9). Our results provide further evidence that HCV infection contributes to NHL risk.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".