Effect of early initiation of highly active antiretroviral therapy on CD4 cell count and HIV‐RNA viral load trends within 24 months of the onset of acute retroviral syndrome<sup>*</sup>
Bibliographic record
Abstract
OBJECTIVES: The effect of starting highly active antiretroviral therapy (HAART) early after the onset of acute retroviral syndrome (ARS) on CD4 and HIV-RNA trends was studied over a 2-year follow-up period. METHODS: Four groups of HIV-infected patients stratified according to the time interval from ARS onset to HAART initiation and a control group of untreated patients were compared. RESULTS: The results indicated that the earlier the start of HAART, the faster was the rate of CD4 increase and HIV-RNA decrease. However, this difference did not seem to persist at 24 months. CONCLUSIONS: The optimal treatment strategy for HIV-infected patients needs to be explored further.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".