Pharmacotherapy of HIV: A Focus on Atazanavir/Ritonavir a Potent and Convenient Once Daily Ritonavir Boosted Protease-Inhibitor for HIV-1 Infected Adults
Bibliographic record
Abstract
Atazanavir is the first azapeptide protease inhibitor. As a consequence of metabolism by the Cytochrome P450 system and excretion by drug-transporters such as P-Glycoprotein, drug interactions are considerable. They can be used to improve efficacy (ritonavir boosting) but may also cause adverse effects. Efficacy of ATV/RTV has been shown to be comparable to lopinavir/ritonavir in antiretroviral naïve patients, providing even better results in patients with high viral load. Efficacy has also been demonstrated in maintenance therapy in antiretroviral-experienced patients, and in patients with previous virologic failure, providing the best virologic response when the virus harbors less than four resistance PI mutations. The gastrointestinal tolerability and the lipid profile are better than with other PIs. The major side effect is a jaundice caused by unconjugated hyperbilirubinemia that rarely leads to discontinuation. ATV/RTV simple administration as well as tolerability may be linked with better treatment adherence. ATV/RTV is simple, potent and well tolerated. Thus it takes an important place in the treatment of HIV-infected patients, preferentially in antiretroviral-naïve or moderately pretreated populations.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".