Baseline HIV‐1 RNA Level and CD4 Cell Count Predict Time to Loss of Virologic Response to Nelfinavir, but Not Lopinavir/Ritonavir, in Antiretroviral Therapy–Naive Patients
Bibliographic record
Abstract
Baseline CD4 cell counts and human immunodeficiency virus (HIV)-1 RNA levels have been shown to predict immunologic and virologic responses in HIV-infected patients receiving antiretroviral therapy. In our randomized, double-blind, comparative trial, 653 antiretroviral therapy-naive patients received lopinavir/ritonavir or nelfinavir, plus stavudine and lamivudine, for up to 96 weeks. The risk of loss of virologic response was significantly higher for nelfinavir-treated patients than for lopinavir/ritonavir-treated patients (Cox model hazard ratio, 2.2; 95% confidence interval, 1.7-3.0; P<.001). For nelfinavir-treated patients, but not for lopinavir/ritonavir-treated patients, higher baseline HIV-1 RNA levels and lower baseline CD4 cell counts were associated with a higher risk of loss of virologic response.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".