BEING: Bone Health in Aging Women with HIV: Impact of Switching Antiretroviral Therapy on Bone Mineral Density During the Perimenopausal Period
Bibliographic record
Abstract
Menopause is a high-risk period for osteoporosis, which may be exacerbated by HIV and/or antiretroviral therapy (ART). Our goal was to study the impact of switching from tenofovir disoproxil fumarate (TDF) to tenofovir alafenamide (TAF) on bone mineral density (BMD) in peri- and early postmenopausal women living with HIV. This is a randomized international multicenter study of an early versus delayed (48-week) switch. BMD was measured by dual energy X-ray absorptiometry scan. Thirty-four women were enrolled: 19 in the immediate and 15 in the delayed switch arm from September 2017 to April 2019; 30 completed the 96-week protocol. The study closed for futility during the COVID-19 pandemic. The median (intraquartile range [IQR]) age was 51 years (47, 53), with a median (IQR) of 16.5 years (14, 23) since HIV diagnosis, median (IQR) 14 years (11, 20) of ART, and mean 8.6 years TDF. At enrollment, TDF was used in combination with a boosted protease inhibitor ( n = 7), a non-nucleoside reverse transcriptase inhibitor ( n = 13), an integrase inhibitor ( n = 11), or more than one ART class ( n = 3). The median (95% confidence interval [CI]) percentage change in BMD at the lumbar spine from 0 to 48 weeks in the immediate switch group was 1.97% (−1.15 to 5.49) compared with a median (95% CI) decrease of 2.32% (−5.11 to 0.19) in the delayed arm. The median (95% CI) percentage change in BMD from 0 to 96 weeks was 2.33% (0–4.51) in the immediate arm compared with 0.70% (−3.19 to 2.47) in the delayed arm. We demonstrated a trend to increased BMD at the lumbar spine after a switch from TDF to TAF in peri- and early postmenopausal women living with HIV. Clinical Trials.gov: NCT02815566.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".