Evaluation of the human herpesvirus 8 DNA load in blood and Kaposi's sarcoma skin lesions from AIDS Patients on highly active antiretroviral therapy
Bibliographic record
Abstract
OBJECTIVES: To evaluate the human herpesvirus 8 (HHV-8) DNA load in peripheral blood mononuclear cells (PBMC) and Kaposi's sarcoma (KS) skin lesions of subjects with AIDS and to correlate these measures with the tumour load. DESIGN: Assessment of the HHV-8 DNA load was performed every 3 months in PBMC and every 6 months in KS skin lesions from seven subjects with AIDS who were receiving highly active antiretroviral therapy (HAART). METHODS: The HHV-8 DNA load was determined by a quantitative-competitive PCR using 0.2 microg of DNA from PBMC or KS skin biopsies. Staging of KS was performed by evaluating the number and type of cutaneous KS lesions. RESULTS: The three subjects with the most extensive and active (nodular) KS had the highest amounts of HHV-8 DNA in KS skin lesions and the lowest CD4 T cell counts (< 200 x 10(6)/l). In contrast, the four other subjects with regressing KS while on HAART had a low viral load in their KS lesions. All but one subject who also had multicentric Castleman's disease had low amounts of HHV-8 DNA in PBMC. CONCLUSION: There is a strong relationship between the tumour burden and the HHV-8 viral load in KS skin lesions of subjects with AIDS, reinforcing the causal link between this herpesvirus and AIDS-related KS.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".