No evidence of rapid reversibility of tenofovir alafenamide and/or integrase strand transfer inhibitor-associated weight gain
Bibliographic record
Abstract
OBJECTIVE: We aimed to determine the reversibility of at least 7% weight gain within 12 months following tenofovir alafenamide (TAF) and/or integrase strand transfer inhibitor (INSTI) discontinuation in people with HIV (PWH) from the Dutch ATHENA cohort. DESIGN AND METHODS: PWH with at least 7% weight gain within 24 months after first switch to TAF and/or INSTI whilst being virally suppressed were selected, excluding those with comorbidities/co-medication known to be associated with weight gain. PWH who discontinued only TAF, only INSTI or TAF+INSTI, with available follow-up weight, were included. Mean weight change in the 24 months prior to and 12 months after discontinuation was modelled using mixed-effects linear regression. Factors associated with yearly weight change were assessed using linear regression. RESULTS: In 115 PWH, discontinuing only TAF ( n = 39), only INSTI ( n = 53) or TAF+INSTI ( n = 23), the adjusted mean modelled weight change in the 24 months prior to discontinuation was +4.50 kg [95% confidence interval (CI) 3.04-6.10], +4.80 kg (95% CI 2.43-7.03) and +4.13 kg (95% CI 1.50-7.13), respectively, and -1.89 kg (95% CI -3.40 to -0.37), -1.93 kg (95% CI -3.92 to +0.07) and -2.55 kg (95% CI -5.80 to +0.02) in the 12 months postdiscontinuation. A greater number of years since HIV diagnosis was associated with greater reversibility of weight gain. No associations were found between weight change postdiscontinuation and changes in NRTI backbone or anchor agent at moment of discontinuation. CONCLUSION: There was no evidence of rapid reversibility of at least 7% TAF-associated and/or INSTI-associated weight gain after discontinuation of these agents. Studies of larger and more diverse populations of PWH are required to more fully understand the degree to which weight gain is reversible when discontinuing TAF and/or INSTI.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".