Особенности лечения пациентов, инфицированных 1 и 4 генотипами вируса гепатита с, противовирусными препаратами прямого действия
Bibliographic record
Abstract
Hepatitis C is an urgent problem today because of the low efficiency and a significant number of side effects of conventional therapy. The problem of the treatment of hepatitis C virus (HCV) genotypes 1 and 4 is particularly acute, as they are the most resistant to traditional treatment regimens. The solution to this problem, apparently, is the use of a relatively new group of direct-acting antiviral drugs (DAAD). This article discusses the various schemes of treatment with these products, their mechanism of action and effectiveness, as well ascompares two of the most effective and promising DAAD available on the global market Harvoni (sofosbuvir/ledipasvir) and Viekira Pak (ombitasvir/paritaprevir/ritonavir + dasabuvir). Current guidelines of the European Association for the Study of the Liver (EASL), American Association for the Study of Liver Diseases (AASLD) and the Canadian Association for the Study of the Liver (CASL) on the treatment of patients with HCV genotypes 1 and 4 are also compared.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 0.007 |
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".