A cross-sectional study of SEN virus in liver transplant recipients
Bibliographic record
Abstract
A new DNA virus, referred to as SEN virus (SEN V), has been isolated and is associated with blood-product transfusion and possibly Non A to Non E hepatitis. We performed a cross-sectional analysis of SEN V in liver transplant recipients at our center. Polymerase chain reaction was used to test for 2 genotypes of SEN V (SEN V:C/H and SEN V:D) in 58 unselected patients. Comparisons were made between SEN V--positive and SEN V--negative groups in terms of age, time posttransplantation, indications for transplantation, serum alanine aminotransferase (ALT) and aspartate aminotransferase (AST) levels, and cytomegalovirus and Epstein-Barr virus status. Thirty of 58 transplant recipients (51.7%) were SEN V positive; 15.5% were positive for SEN V:C/H, 24.1% for SEN:D, and 12.1% for both strains. No significant differences were found based on primary indication for transplantation, including hepatitis C virus (HCV). Of the 14 of 21 patients with HCV seropositivity and HCV reinfection, 79% were positive for SEN V (P =.02). There was no difference in the proportion of patients with abnormal serum ALT and/or AST levels. A trend for the SEN V--positive group to have a greater mean ALT level (82 v 41 U/L; P =.067) was attributable to the subgroup with HCV recurrence because there was no difference in mean ALT levels (34.9 v 34.5 U/L; P =.968) in non--HCV-infected transplant recipients. Even in the subgroup (n = 14) with recurrent HCV, there was no statistically significant difference in mean ALT levels (140 v 105 U/L; P =.665). Age and cytomegalovirus or Epstein-Barr virus status were not significantly different between the 2 groups, but a significant difference in posttransplantation time was noted (16.8 v 32 months; P =.021). We conclude that SEN V is common among liver transplant recipients but does not appear to cause graft dysfunction as an isolated agent. There is a suggestion that SEN V may be associated with HCV recurrence, but we did not detect biochemical differences attributable to SEN V.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| 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 | 0.001 | 0.001 |
| 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".