Impact of Asian Race on Response to Combination Therapy With Peginterferon Alfa-2a and Ribavirin in Chronic Hepatitis C
Bibliographic record
Abstract
BACKGROUND: Prior investigation has identified factors associated with response to treatment in hepatitis C including viral genotype and titre, body weight, hepatic fibrosis, and adherence to therapy. The lower response rate of African-Americans relative to whites has been previously described, but studies of other racial or ethnic groups remain limited. OBJECTIVE: To determine whether Asian race is an independent marker for response to antiviral therapy in hepatitis C. METHODS: Data on treatment-naïve patients from a large multicenter study of combination therapy with peginterferon alfa-2a (180 mug SC each week) and ribavirin (800 mg daily) were analyzed retrospectively to identify factors associated with an SVR, defined as an undetectable serum HCV RNA at least 24 wk after completion of therapy. RESULTS: SVR occurred in 45% of 384 whites and 65% of 52 Asians (P= 0.0047) who were treatment naïve. In a multivariate logistic regression analysis that adjusted for all the aforementioned factors known to be associated with treatment response, Asian race was shown to be an independent predictor of achieving an SVR (OR 2.22, 95% CI 1.11-4.46). Other independent predictors of SVR include viral genotype, body mass index, degree of hepatic fibrosis, and adherence with ribavirin. CONCLUSIONS: Asians are more likely to achieve an SVR to treatment with peginterferon alfa-2a and ribavirin than whites with chronic hepatitis C, suggesting a genetic influence on the antiviral response.
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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 | 0.002 | 0.000 |
| 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".