Overview on the incidence and the characteristics of HIV-related opportunistic infections and neoplasms of the heart
Bibliographic record
Abstract
The manifestation of cardiac involvement in the course of HIV infection has been significantly changed since the introduction of highly active antiretroviral therapy. While in the pre-highly active antiretroviral therapy era the predominant cardiac pathology was represented by localization of opportunistic infection, now new forms of heart involvement are described. Among infectious agents, viruses and bacteria caused the majority of infections. The 'classic' opportunistic agents, such as Toxoplasma, non-tuberculous mycobacteria, cytomegalovirus and Cryptococcus, have virtually disappeared. Endocarditis is still the most frequent infectious disease of the heart in HIV-infected patients, occurring mainly in drug users, and with the improvement in prognosis, the need for cardiac surgery is increasing. Tuberculosis, the incidence of which is still high in poor resources settings where antiretroviral drugs are not available, is a frequent cause of pericarditis, frequently evolving into cardiac tamponade. Recent studies suggest the direct role of HIV as the cause of myocarditis and heart vessel pathology. This finding points out the need of improving our knowledge about the pathogenesis, diagnosis and treatment of this kind of complication.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.006 |
| 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) | 0.004 | 0.002 |
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".