Cytomegalovirus: its potential role in the development of cutaneous T‐cell lymphoma
Bibliographic record
Abstract
To investigate the potential role of CMV in cutaneous T-cell lymphoma (CTCL), we studied cytomegalovirus (CMV) seroprevalence in parapsoriasis (PP), mycosis fungoides (MF) and Sézary syndrome (SS) compared with healthy control patients. In cases where CMV seropositivity was observed, CMV PCR analyses were performed on skin biopsies. CMV seroprevalence was 37.1% in the control group, 50.68% in the PP + MF + SS group (P = 0.08), 56.2% in the MF + SS group (P = 0.07), 40% in the PP group (P = 0.9), 66.67% in the MF group (P = 0.009), 42.86% in the SS group (P = 0.9). CMV PCR in initial skin biopsies were all negative. However, PCR CMV was positive in two SS skin biopsies realized at an advanced stage. Our results show that latent CMV infection may play a role in the susceptibility of MF in predisposed subjects by inducing T-cell proliferation and resistance to apoptosis. Concerning SS, an immunosuppressive state may be responsible for CMV reactivation that in turn may interfere with evolution of the disease.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".