Can plasma HHV8 viral load be used to differentiate multicentric Castleman disease from Kaposi sarcoma?
Bibliographic record
Abstract
We measured plasma human herpesvirus 8 (HHV8) DNA load in consecutive patients presenting with HIV-associated multicentric Castleman disease (MCD) and in contemporaneous patients who had Kaposi sarcoma (KS), lymphoma or other diagnoses. All 11 patients with MCD had detectable plasma HHV8 DNA compared with 18 (72%) of 25 patients with KS, none with lymphoma and one of 38 patients with other diagnoses. Detectable plasma HHV8 DNA levels were higher among MCD patients, median (interquartile range [IQR]) = 43,500 (5200-150,000) copies/mL, when compared with those with KS, median (IQR) = 320 (167-822) copies/mL and those with lymphoma and other diagnoses (one-way analysis of variance; P = 0.0303). Using receiver operating characteristic analysis, a cut-off of >1000 copies HHV8 DNA/mL of plasma helped to discriminate between MCD and other diagnoses, with a specificity of 94.7% and a negative predictive value of 97.3%. The level of HHV8 viraemia, while not diagnostic, may aid discrimination between patients with MCD and those with KS and other systemic illnesses.
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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 | 0.001 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".