Case series assessing the safety of mycophenolate as part of multidrug rescue treatment regimens
Bibliographic record
Abstract
BACKGROUND: Mycophenolate mofetil (MMF), an inhibitor of lymphocyte proliferation, is emerging as a potential adjunct in the treatment of HIV-1 infection. By potentiating the activity of abacavir, MMF may improve antiviral efficacy. However, it may also lead to myelosuppression, such as was seen in patients taking hydroxyurea-containing regimens. PURPOSE: To assess the safety of MMF as adjunctive therapy for HIV infection. METHOD: Eighteen HIV-positive outpatients, given MMF (500 mg po bid) on a compassionate basis as part of their salvage therapy, were monitored for adverse effects. RESULTS: Five patients discontinued MMF between 26-68 days of follow-up due to adverse effects likely related to other factors. Among the remaining 13 patients, no new clinically significant cytopenias occurred over 107-154 days of follow-up. Three patients exhibited decreases in CD4 counts, despite decreases in plasma HIV-1 RNA. CONCLUSION: Short-term follow-up suggests that MMF (500 mg po bid) does not cause lymphocyte suppression. However, further studies are ongoing to determine its safety and efficacy profile in HIV infection.
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 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 | 0.001 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.005 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".