Meta-Analysis Dataset: Effectiveness of HIV Pre-Exposure Prophylaxis (PrEP) Across 100 Studies (2000–2025)
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This dataset presents a comprehensive meta-analysis of HIV pre-exposure prophylaxis (PrEP) effectiveness across 100 studies conducted between 2000 and 2025. The included studies represent a mix of randomized controlled trials (62 studies) and observational studies (38 studies) conducted globally, encompassing diverse populations at heightened risk of HIV infection: • Men who have sex with men (MSM) (42 studies) • Serodiscordant couples (18 studies) • People who inject drugs (PWID) (12 studies) • High-risk heterosexuals (28 studies) PrEP interventions covered in the analysis include both oral formulations (84 studies) and long-acting injectable cabotegravir (CAB) (16 studies). The study adhered to PRISMA guidelines for systematic review and meta-analysis. A total of 2,134 records were initially identified, with 100 studies meeting inclusion criteria after full-text screening. Outcomes assessed include: • HIV incidence reduction (relative risk, confidence intervals) • PrEP adherence metrics (pill count, electronic monitoring, plasma levels, self-report) • Safety and tolerability outcomes (GI events, renal function, bone density, injection-site reactions) • Risk of bias assessment using the Cochrane tool (for RCTs) and Newcastle-Ottawa Scale (for observational studies). Findings highlight consistently high effectiveness among MSM (≈90% risk reduction with high adherence), substantial benefit in serodiscordant couples (≈75%), moderate protection among PWID (≈49%), and variable efficacy in heterosexual populations (46–77%). Adherence emerged as a critical determinant of effectiveness. This dataset provides a modular synthesis matrix and detailed evidence tables that can be used by researchers, clinicians, and policymakers to optimize PrEP implementation strategies, improve adherence support, and inform public health guidelines.
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.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.004 | 0.007 |
| Research integrity | 0.000 | 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 it