Canadian Expert Panel Recommendations on the Management of CNS Symptoms Related to Efavirenz
Bibliographic record
Abstract
Efavirenz is a potent antiretroviral agent used in combination with other antiretroviral agents as part of highly active antiretroviral therapy. Efavirenz is generally well tolerated because the majority of its adverse effects are self‐limiting, with central nervous symptoms and rash being the most frequent. In routine practice, the discontinuation rate of efavirenz due to adverse effects appears higher than that described in clinical trials. To minimize early treatment interruption and maximize the benefit of long term viral suppression that can be achieved with efavirenz therapy, health care providers and patients have identified that there is a need for information, education about and practical tools for the management of efavirenz‐related side effects. To this end, a panel of experts in the care of HIV patients consisting of primary care physicians, infectious disease specialists, psychiatrists and pharmacists was convened. Through the evaluation of current literature and discussion among the group, the panel arrived at consensus recommendations. The present report outlines general management recommendations that apply to adverse effects related to efavirenz initiation, as well as specific management strategies for central nervous system symptoms such as agitation, sleep disturbances, dreams, dizziness, impaired concentration and depression. It is hoped that these practical recommendations will aid clinicians in minimizing and improving patient tolerance of side effects, thereby achieving improved adherence and patient outcomes.
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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 | 0.014 | 0.026 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.007 | 0.001 |
| Research integrity | 0.009 | 0.007 |
| Insufficient payload (model declined to judge) | 0.011 | 0.003 |
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".