Higher Rate of Toxicity With No Increased Efficacy When Hydroxyurea Is Added to a Regimen of Stavudine Plus Didanosine and Nevirapine in Primary HIV Infection
Bibliographic record
Abstract
Twenty-four subjects presenting at a single treatment center with primary HIV infection were enrolled in a pilot study aimed to establish the possible role of hydroxyurea in this setting. Study participants were randomly assigned to receive or not to receive hydroxyurea in addition to stavudine (d4T) plus didanosine (ddI) and nevirapine (NVP). Seventy-five percent of patients without hydroxyurea had plasma HIV RNA below 50 copies/mL at 48 weeks by both intention-to-treat (ITT) and on-treatment (OT) analysis in comparison with 50% (ITT) and 67% (OT) of patients with hydroxyurea (p >.1). A median increase of >200 cells/mm3 was observed from baseline to week 48 whether or not hydroxyurea was included in the regimen. Overall, in 12 patients treated with hydroxyurea, 33 adverse events were reported versus 19 reported for 12 patients who did not receive hydroxyurea (p <.05). Our results suggest that that adding hydroxyurea to a regimen of d4T plus ddI and NVP increases toxicity without improving the antiviral effect.
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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 | 0.005 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".