Trends in Incidences and Risk Factors for Hepatocellular Carcinoma and Other Liver Events in HIV and Hepatitis C Virus–coinfected Individuals From 2001 to 2014: A Multicohort Study
Bibliographic record
Abstract
BACKGROUND: While liver-related deaths in human immunodeficiency virus (HIV) and hepatitis C virus (HCV)-coinfected individuals have declined over the last decade, hepatocellular carcinoma (HCC) may have increased. We describe the epidemiology of HCC and other liver events in a multicohort collaboration of HIV/HCV-coinfected individuals. METHODS: We studied HCV antibody-positive adults with HIV in the EuroSIDA study, the Southern Alberta Clinic Cohort, the Canadian Co-infection Cohort, and the Swiss HIV Cohort study from 2001 to 2014. We calculated the incidence of HCC and other liver events (defined as liver-related deaths or decompensations, excluding HCC) and used Poisson regression to estimate incidence rate ratios. RESULTS: Our study comprised 7229 HIV/HCV-coinfected individuals (68% male, 90% white). During follow-up, 72 cases of HCC and 375 other liver events occurred, yielding incidence rates of 1.6 (95% confidence interval [CI], 1.3, 2.0) and 8.6 (95% CI, 7.8, 9.5) cases per 1000 person-years of follow-up, respectively. The rate of HCC increased 11% per calendar year (95% CI, 4%, 19%) and decreased 4% for other liver events (95% CI, 2%, 7%), but only the latter remained statistically significant after adjustment for potential confounders. Older age, cirrhosis, and low current CD4 cell count were associated with a higher incidence of both HCC and other liver events. CONCLUSIONS: In HIV/HCV-coinfected individuals, the crude incidence of HCC increased from 2001 to 2014, while other liver events declined. Individuals with cirrhosis or low current CD4 cell count are at highest risk of developing HCC or other liver events.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.000 | 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".