New use of an old drug: chloroquine reduces viral and ALT levels in HCV non-responders (a randomized, triple-blind, placebo-controlled pilot trial)
Bibliographic record
Abstract
Hepatitis C virus (HCV) infection induces autophagy, but the virus assimilates the autophagic response into its own life cycle. Chloroquine (CQ) is an autophagy inhibitor that is clinically used to treat malaria. The aims of this pilot clinical trial were to evaluate the therapeutic potential and short-term safety of CQ in patients with chronic HCV genotype 1, who were unresponsive to a combination of pegylated interferon alpha and ribavirin. Ten non-responders to previous antiviral treatment(s) were randomized to receive either CQ (150 mg daily for 8 weeks) or placebo, and were followed for 4 weeks after CQ therapy. HCV RNA load and plasma alanine transaminase (ALT) levels were measured at baseline, week 4 (initial response), week 8 (end-of-treatment response), and at the end of 12 weeks. A significant decrease in HCV RNA after the treatments (week 8) was observed in all patients in the CQ group (P = 0.04). However, HCV RNA levels increased within 4 weeks after discontinuation of CQ treatment although they were still lower than baseline. In addition, the ALT normalized during treatment in the CQ group. However, this response was also lost after treatment cessation. This study provides preliminary evidence that CQ is possibly a safe treatment option for HCV non-responders.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".