The frequency of HHV-8 infection in otherwise healthy blood donors as well as renal allograft recipients living in Iran.
Bibliographic record
Abstract
BACKGROUND: Different reports from Middle East countries demonstrated Kaposi's sarcoma (KS) in transplant population. This vascular malignancy occurs mostly among immunocompromised individuals. Human herpesvirus 8 (HHV-8) appears to be the causative factor for the development of this neoplasm. Transplant programs are concerned about the frequencies of HHV-8 infection either in general population or transplant patients. METHODS: The current study was conducted in two phases. Firstly, we detected antibodies against HHV-8 in 790 otherwise healthy blood donors. Secondly, a total of 125 kidney allograft recipients evaluated as being seropositive for HHV-8. We utilized enzyme immunoassay (EIA) for serologic studies. RESULTS: Among blood donors, the male to female ratio was 1.05 (405 vs. 385 ) while the mean age was 38.9 ± 11.7 years. The serostatus of none of these blood donors were positive for HHV-8. Among kidney recipients, the male to female ratio was 1.9 (82 vs. 43). The mean age was 39.01 ± 14.77 years. Two (1.6%) patients were seropositive for HHV-8. CONCLUSION: The prevalence of HHV-8 infection among Iranians is likely to be low. Yet, owing to the evidence of this infection among kidney allograft recipients and its probable role in developing post- transplantation KS (PT-KS), further studies appear to be required to keep the various aspects of this infection under close surveillance.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".