Clinical Evaluation and Management of Metabolic and Morphologic Abnormalities Associated with Human Immunodeficiency Virus
Bibliographic record
Abstract
In recent years, a spectrum of metabolic and morphologic alterations has emerged among patients infected with human immunodeficiency virus (HIV) receiving antiretroviral treatment. Changes observed include insulin resistance, dyslipidemia, abdominal and dorsocervical fat accumulation, and fat depletion in the extremities and in the face. The health consequences of these changes are not well understood but may include increased risk for diabetes, heart disease, and stroke. Therefore, clinicians that treat patients with HIV need current, practical information on management strategies and interventions for patients with manifestations of HIV-associated lipodystrophy. Literature is reviewed on the health consequences of insulin resistance, dyslipidemia, and alterations in body fat distribution in non-HIV populations to gain perspective on how such abnormalities might affect HIV-infected patients. We also suggest treatments and strategies to manage metabolic and morphologic changes in patients with HIV.
Stored with the screening record, where it is evidence for the labels above.
How this classification was reachedexpand
The three-model screen
all 5,600 screened works →All three models called this out of scope.
Clinical review of managing metabolic and morphologic abnormalities in HIV; the object is patient management.
The review addresses clinical management of HIV-associated abnormalities rather than research methodology.
Clinical evaluation and management of HIV-associated metabolic abnormalities.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".