Management of Depression Associated with HIV/AIDS and Antiretrovial Therapy
Bibliographic record
Abstract
Depressed mood is a common psychiatric complaint in persons with HIV/AIDS, with a meta‐analysis indicating that the rates of depression within this group may be as high as double that of the general population. Depression may result from a biological diathesis to mood disorders, a physiological reaction to a medical illness or its treatment, and/or a psychological reaction to challenging life circumstances. Associated symptoms include sleep, energy and appetite disturbances; social withdrawal; diminished capacity to experience pleasure; diminished concentration; feelings of worthlessness, shame and guilt; and recurrent thoughts of death, including suicidal ideation. The emotionally and physically painful state of major depression is associated with decreased antiretroviral adherence and poorer HIV/AIDS disease outcomes. Neuropsychiatric symptoms have been reported with several of the medications taken by patients with HIV/AIDS, including lamivudine, zidovudine, interferon and, most notably, efavirenz. However, data from several sources demonstrate that neuropsychiatric symptoms associated with efavirenz use are generally transient, with onset early after treatment initiation, peaking after one week and decreasing over the first one to four months of treatment. Recent comparative studies have not found elevated incident rates of major depression in patients treated with efavirenz, but they have confirmed the typical neuropsychiatric symptoms reported in earlier open‐label studies and case reports. Becoming skilled in the management of depression and psychiatric symptoms is integral to the provision of comprehensive care for patients with HIV/AIDS.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".