The risk of hepatocellular carcinoma decreases after the first 5 years of entecavir or tenofovir in Caucasians with chronic hepatitis B
Why this work is in the frame
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Bibliographic record
Abstract
Whether there is a change of hepatocellular carcinoma (HCC) incidence in chronic hepatitis B patients under long-term therapy with potent nucleos(t)ide analogues is currently unclear. We therefore assessed the HCC incidence beyond year 5 of entecavir/tenofovir (ETV/TDF) therapy and tried to determine possible factors associated with late HCC occurrence. This European, 10-center, cohort study included 1,951 adult Caucasian chronic hepatitis B patients without HCC at baseline who received ETV/TDF for ≥1 year. Of them, 1,205 (62%) patients without HCC within the first 5 years of therapy have been followed for 5-10 (median, 6.8) years. HCCs have been diagnosed in 101/1,951 (5.2%) patients within the first 5 years and 17/1,205 (1.4%) patients within 5-10 years. The yearly HCC incidence rate was 1.22% within and 0.73% after the first 5 years (P = 0.050). The yearly HCC incidence rate did not differ within and after the first 5 years in patients without cirrhosis (0.49% versus 0.47%, P = 0.931), but it significantly declined in patients with cirrhosis (3.22% versus 1.57%, P = 0.039). All HCCs beyond year 5 developed in patients older than 50 years at ETV/TDF onset. Older age, lower platelets at baseline and year 5, and liver stiffness ≥12 kPa at year 5 were independently associated with more frequent HCC development beyond year 5 in multivariable analysis. No patient with low Platelets, Age, Gender-Hepatitis B score at baseline or year 5 developed HCC. CONCLUSION: The HCC risk decreases beyond year 5 of ETV/TDF therapy in Caucasian chronic hepatitis B patients, particularly in those with compensated cirrhosis; older age (especially ≥50 years), lower platelets, and liver stiffness ≥12 kPa at year 5 represent the main risk factors for late HCC development. (Hepatology 2017;66:1444-1453).
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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 | 0.001 |
| 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 | 0.002 |
| 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 it