Effect of Baseline Characteristics on the Efficacy and Safety of Once-Daily Darunavir/ Ritonavir in HIV-1–Infected, Treatment-Naïve ARTEMIS Patients at Week 96
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVES: ARTEMIS demonstrated significantly greater efficacy of once-daily darunavir/ritonavir (DRV/r) 800/100 mg versus lopinavir/ritonavir 800/200 mg (total daily dose) in treatment-naïve, HIV-1-infected patients at week 96. The influence of baseline characteristics on efficacy and safety was analyzed in DRV/r patients. METHODS: Patients received once-daily DRV/r plus fixed-dose tenofovir/emtricitabine. Week 96 efficacy and safety data were analyzed by gender (males, n=239; females, n=104), age (≤30, n=115; 31-45, n=175; >45, n=53), race (Asian, n=44; Black, n=80; Caucasian/White, n=137; Hispanic, n=77), and hepatitis B and/or C virus coinfection (n=43). RESULTS: Week 96 virologic response rates (HIV-1 RNA<50 copies/mL) were as follows: gender: 79% for both males and females; age: 72% (≤30), 81% (31-45), and 89% (>45); race: 96% (Asian), 71% (Black), 77% (Caucasian/White), and 79% (Hispanic); coinfection status: 72% (coinfected) and 80% (non-coinfected). The incidence of treatment-related adverse drug reactions (ADRs) and laboratory abnormalities were comparable across gender, age, and race subgroups. Coinfected patients had a higher incidence of liver-related ADRs than non-coinfected patients. CONCLUSIONS: DRV/r 800/100 mg qd is an effective, well-tolerated treatment option for treatment-naïve patients of different gender, age, race, or coinfection status.
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.
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 | 0.006 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 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 it