Overview on the incidence and the characteristics of HIV-related opportunistic infections and neoplasms of the heart
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it