Renal Disease Associated with Antiretroviral Therapy in the Treatment of HIV
Bibliographic record
Abstract
The introduction of potent combination antiretroviral therapy (ART) in the treatment of HIV infection has permitted reliable control of disease progression and has markedly improved survival among people with HIV. As a result, health care providers and patients have shifted clinical priorities; whereas once delaying opportunistic illness was a primary focus, increasing emphasis is now placed on preventative health, management of comorbid chronic disease and avoiding long-term toxicities of ART. Although renal disease is common in people with HIV, renal disease specifically due to ART remains relatively rare. Still, as the use of ART continues to increase, health care providers are likely to encounter this potentially serious complication with increasing frequency. Distinguishing ART-related nephrotoxicity from the myriad of other potential causes of renal disease in people with HIV is important in order to avoid unnecessary discontinuation of an appropriate ART regimen. This review focuses on the early recognition of renal disease associated with ART and suggests strategies for management and prevention.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".