Analysis of causes of death in liver transplant recipients who survived more than 3 years
Bibliographic record
Abstract
Few studies have examined causes of death in long-term survivors of orthotopic liver transplantation (OLT). We reviewed causes of death among 299 adult liver transplant recipients who survived more than 3 years after OLT at 2 centers. Thirty-eight of the 299 patients subsequently died. Nonhepatic causes accounted for 22 of 38 late deaths (58%). Death caused by malignancies occurred in 9 patients between 3.3 and 8.0 years after OLT. Eight patients died of cardiovascular complications. The 6 patients who died of myocardial infarction had risk factors for coronary artery disease. Hepatic failure caused by recurrent liver disease or chronic rejection accounted for 16 of 38 late deaths (42%). These 16 patients were younger than patients who died of nonhepatic complications (mean ages, 50.7 v 62.1 years; P =.001). However, the mean interval between OLT and death was similar among patients who died of nonhepatic versus hepatic causes. Nine patients had recurrent liver disease leading to death, and 8 of 9 patients had recurrent chronic hepatitis C virus (HCV) infection. Chronic rejection resulting in graft failure and death occurred in 7 patients. In summary, de novo malignancies and cardiovascular complications accounted for more than half the late deaths. Patients who died of nonhepatic causes were significantly older than patients who died of hepatic causes. Chronic rejection and recurrent HCV infection accounted for the majority of hepatic causes of death. With longer follow-up, graft failure resulting from recurrent HCV infection will become the major cause of death in late survivors.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".