Early Human Immunodeficiency Virus (HIV) Infection in the HIV Network for Prevention Trials Vaccine Preparedness Cohort: Risk Behaviors, Symptoms, and Early Plasma and Genital Tract Virus Load
Bibliographic record
Abstract
Risk behaviors, symptoms, and virologic characteristics were studied among 103 human immunodeficiency virus (HIV) seroconverters in vaccine preparedness cohorts during 1995-1998. Overall, 83% of subjects were men who had sex with men; most reported multiple risk episodes and symptoms (84%, > or =1 symptom) during seroconversion. Acute HIV was diagnosed in only 8 of 50 who sought medical care. Median initial pretreatment plasma virus load was 25,800 copies/mL (range, undetectable-262,000 copies/mL) a mean of 4 months after seroconversion, and 9.7% had nucleoside-associated mutations; none had multidrug resistance. Semen virus load was more variable, 1.3 log(10) lower and modestly correlated (r=.28; 95% confidence interval, 0.16-0.42) with plasma among untreated men. When the plasma RNA level was <5000 copies/mL, 32% of untreated men, 13% on nucleoside regimens, and 7% on protease inhibitor-containing regimens had detectable seminal RNA. Acute HIV was seldom diagnosed, representing missed opportunities for early treatment and prevention. Most subjects had several relatively stable virus loads before initiation of antiretrovirals, indicating feasibility of assessing HIV vaccines on virus set point in efficacy trials.
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".