Lung transplant recipient attitudes and beliefs on accepting an organ that is positive for hepatitis C virus
Bibliographic record
Abstract
INTRODUCTION: Little is known about patient perceptions regarding HCV+ organ use in non-HCV-infected recipients. This study examined factors influencing the decision to accept HCV+ organs and the resulting impacts. METHODS: Adult lung transplant (LT) patients or candidates who had consented to receive an HCV+ organ completed a survey including multiple choice, a five-point Likert scale, and free-text answers. A total of 67 LT recipients or candidates who had consented to receive HCV+ organs were enrolled, of which 21/67 (31%) received HCV+ lungs, 39 (58%) HCV- lungs, and seven (10%) were still waiting. RESULTS: Pre-transplant, 50/67 (75%) patients felt it was either "completely safe" or "very safe" to accept an HCV+ organ. Although 22/67 (33%) said they never or rarely took risks, they still made the decision to accept an HCV+ organ. Common reported reasons were desperation, perception of having "no choice," and increasing symptom severity. In the subset of patients that were transplanted with an HCV+ organ (n = 21), only 12.5% reported second thoughts about accepting. Post-transplant, the majority (87.5%) never felt any anxiety about HCV and most (83%) reported no impact from HCV. Perception of treatment tolerability and ease was highly favorable. CONCLUSION: Use of HCV+ organs demonstrated minimal detrimental perceived impacts on lung transplant patients. Patients generally found the experience to be very positive.
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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 | 0.002 | 0.005 |
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".