The number needed to treat to prevent mortality and cirrhosis‐related complications among patients with cirrhosis and <scp>HCV</scp> genotype 1 infection
Bibliographic record
Abstract
Cirrhotic patients with chronic hepatitis C virus (HCV) infection remain at risk for complications following sustained virological response (SVR). Therefore, we aimed to evaluate treatment efficacy with the number needed to treat (NNT) to prevent clinical endpoints. Mortality and cirrhosis-related morbidity were assessed in an international multicentre cohort of consecutively treated patients with HCV genotype 1 infection and cirrhosis. The NNT to prevent death or clinical disease progression (any cirrhosis-related event or death) in one patient was determined with the adjusted (event-free) survival among patients without SVR and adjusted hazard ratio of SVR. Overall, 248 patients were followed for a median of 8.3 (IQR 6.2-11.1) years. Fifty-nine (24%) patients attained SVR. Among patients without SVR, the adjusted 5-year survival and event-free survival were 94.4% and 80.0%, respectively. SVR was associated with reduced all-cause mortality (HR 0.15, 95% CI 0.05-0.48, P = 0.002) and clinical disease progression (HR 0.16, 95% CI 0.07-0.36, P < 0.001). The NNT to prevent one death in 5 years declined from 1052 (95% CI 937-1755) at 2% SVR (interferon monotherapy) to 61 (95% CI 54-101) at 35% SVR (peginterferon and ribavirin). At 50% SVR, which might be expected with triple therapy, the estimated NNT was 43 (95% CI 38-71). The NNT to prevent clinical disease progression in one patient in 5 years was 302 (95% CI 271-407), 18 (95% CI 16-24) and 13 (95% CI 11-17) at 2%, 35% and 50% SVR, respectively. In conclusion, the NNT to prevent clinical endpoints among cirrhotic patients with HCV genotype 1 has declined enormously with the improvement of antiviral therapy.
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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) | 0.000 | 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".