Assessment of HIV Screening Tests for Pre-Exposure Prophylaxis Programs
Bibliographic record
Abstract
Preexposure prophylaxis programs involve frequent human immunodeficiency virus (HIV) testing. We evaluated the sensitivity of 2 antigen/antibody immunoassays (Architect and Bioplex), 2 antibody-based rapid tests (Vikia-HIV-1/2 and Autotest-VIH), and 1 antigen/antibody rapid test (Alere HIV Combo) for the diagnosis of HIV infection. Among the 31 HIV-1-infected participants in the ANRS-IPERGAY trial, HIV-1 RNA was detected alone in only 2. The sensitivities of the Architect and Bioplex assays were 83% (95% confidence interval [CI], 76%-99%) and 82% (95% CI, 63%-94%), respectively. The sensitivities of the Vikia, Autotest, and Alere tests were 54% (95% CI, 34%-72%), 50% (95% CI, 31%-69%), and 78% (95% CI, 58%-91%), respectively. Antigen/antibody tests should be preferred to avoid missing cases of acute HIV infection and to decrease the related risks of viral transmission and emergence of drug resistance.
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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 | 0.007 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".