Efficacy and tolerability of long-term efavirenz plus nucleoside reverse transcriptase inhibitors for HIV-1 infection
Bibliographic record
Abstract
OBJECTIVE: To compare the long-term efficacy and tolerability of two efavirenz-containing regimens with those of an indinavir-containing regimen in the initial use of HAART. METHOD: HIV-1-infected patients (N = 1266) were randomly assigned to receive one of three regimens: efavirenz, zidovudine plus lamivudine, n = 422; efavirenz plus indinavir, n = 429; or indinavir, zidovudine plus lamivudine, n = 415. Entrance criteria included baseline viral load greater than 10 000 copies/ml HIV-1 RNA, CD4 cell count 50 cells/mul or greater, and no previous use of lamivudine, any non-nucleoside reverse-transcriptase inhibitor or protease inhibitor. The primary endpoint was the proportion of patients (response rate) in each regimen with a viral load under 400 copies/ml at 168 weeks of treatment. RESULTS: Response rates at 168 weeks were 30% in the indinavir, zidovudine, lamivudine group, 48% in the efavirenz, zidovudine, lamivudine group (P < 0.0001, difference estimate; 97.5% confidence interval (CI) 18.5; 10.9, 26), and 40% in the efavirenz plus indinavir group (P = 0.0018, difference estimate; 97.5% CI 10.2; 2.9, 17.6). Median CD4 cell counts increased above respective baselines by 292 cells/mul (efavirenz, zidovudine, lamivudine and indinavir, zidovudine, lamivudine) and 300 cells/mul (efavirenz plus indinavir). Total discontinuations were 54% (efavirenz, zidovudine, lamivudine), 63% (efavirenz plus indinavir), and 69% (indinavir, zidovudine, lamivudine) of which 13, 12 and 26%, respectively, were caused by adverse events. No new or unexpected increases in the rates or severity of adverse events occurred from long-term treatment with efavirenz-containing regimens. CONCLUSION: Long-term HIV therapy with efavirenz-containing regimens, particularly efavirenz, zidovudine, lamivudine, provides significantly greater antiviral activity and tolerability than a regimen of indinavir, zidovudine plus lamivudine.
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How this classification was reachedexpand
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".