Treatment of Hepatitis C in Potential Lung Transplant Candidates
Bibliographic record
Abstract
International guidelines list hepatitis C virus (HCV) as a contraindication to lung transplant (LTx). Since the development of these guidelines, the natural history of HCV after nonhepatic transplant has been clarified, and more effective antiviral therapy is available. In renal transplant candidates, HCV treatment before transplantation improves posttransplant outcome. There are no data regarding the safety and efficacy of HCV therapy in LTx candidates. We describe the outcomes of HCV treatment in five LTx candidates. Three have had a sustained virologic response and there have been no unexpected adverse effects. Two have gone on to LTx. We conclude that selected lung transplant candidates can safely and effectively be treated for HCV before transplantation. An approach to selecting HCV-positive LTx candidates for antiviral therapy and transplant listing using clinical, virologic, and histologic data is described based on this experience and current knowledge regarding HCV natural history after solid organ transplant.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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".