Baseline Clinical Profile of a “Normal Popu-lation” of HIV Exposed Sero-Negative (HESN) Partners May Impact HIV Biomedical Prevention Studies Negatively
Bibliographic record
Abstract
The burden and viral diversity of HIV in Nigeria makes it suitable to evaluate biomedical prevention strategies including HIV vaccines. We document baseline clinical characteristics of a cohort of HIV Exposed Sero-Negative (HESN) partners to highlight background morbidities that might impact the interpretation of research findings especially in low income countries where “normal control” is based on physical appearance and self-reporting. We established a 2-year prospective cohort of HESN, and obtained, at baseline medical history, general physical examination findings and safety laboratory tests results. Among 534 participants with a mean age of 37 ± 9 years, the commonest symptoms were headache (25.5%) and fever (20%), which occurred more among females. Also, 13% reported a history of urethral/vaginal discharge and genital ulcer. High blood pressure (HBP) (i.e. blood pressure ≥ 140/90 mmhg) was a major abnormal examination finding, which occurred more among males (53.2% vs 26.2%, p < 0.01). More female participants had abnormal laboratory results with 31% having low hemoglobin concentration (<12 g/dl, p = 0.021); 30% with elevated alanine transaminase level (p = 0.019) and 28% with abnormal blood urea nitrogen level (p = 0.093). HBP and abnormal safety laboratory are significant findings among so called “normal population” that could affect interpretation of research findings of HIV biomedical prevention studies in Nigeria.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".