Is pre-treatment liver biopsy necessary for all hepatitis C genotypes?
Bibliographic record
Abstract
BACKGROUND: Current practice guidelines recommend liver biopsy prior to treatment of hepatitis C genotype-1 but not for genotype-2/3; this is based on expert opinion, not on published evidence. METHODS: In retrospective analysis of a large trial database prior to the publication of recent guidelines, we compared outcomes in 985 treatment-naïve patients with hepatitis C who did or did not undergo liver biopsy before starting peginterferon alfa-2a plus ribavirin. RESULTS: Physicians elected to treat 141/654 (21.6%) genotype-1 patients and 126/331 (38.1%) genotype-2/3 patients without liver biopsy. There were no differences in baseline characteristics among those with or without pre-treatment liver biopsy, except for female preponderance in genotype-1 patients with liver biopsy. The sustained viral response (SVR) rate was no different amongst genotype-2/3 patients who had a biopsy before treatment with 66.3% SVR vs. 69.8% of those treated without biopsy (p = 0.546), but significantly higher among genotype-1 patients with pre-treatment liver biopsy at 54.6 vs. 44.0% for those treated without a liver biopsy (p = 0.029). In genotype-1 patients with liver biopsy, more patients with cirrhosis had dose adjustments (p = 0.0057) rather than drug discontinuation. There was tendency for earlier discontinuation among patients without pre-treatment liver biopsy. CONCLUSIONS: Pre-treatment liver biopsy was associated with better SVR amongst genotype-1 patients. This improvement may reflect ongoing commitment to completing the treatment course by both patient and physician. In genotype-2/3 patients, pre-treatment liver biopsy may not be essential to maximize SVR rates. This study validates the recommendations of the most recent treatment guidelines for hepatitis C.
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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 | 0.000 |
| Open science | 0.000 | 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 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".