Fatigue, Pain, and Other Physical Symptoms of Living Liver Donors in the Adult‐to‐Adult Living Donor Liver Transplantation Cohort Study
Bibliographic record
Abstract
Little is known about living liver donors' perceptions of their physical well-being following the procedure. We collected data on donor fatigue, pain, and other relevant physical outcomes as part of the prospective, multicenter Adult-to-Adult Living Donor Liver Transplantation Cohort Study consortium. A total of 271 (91%) of 297 eligible donors were interviewed at least once before donation and 3, 6, 12, and 24 months after donation using validated measures when available. Repeated measures regression models were used to identify potential predictors of worse physical outcomes. We found that donors reported more fatigue immediately after surgery that improved by 2 years after donation, but not to predonation levels. A similar pattern was seen across a number of other physical outcomes. Abdominal or back pain and interference from their pain were rated relatively low on average at all study points. However, 21% of donors did report clinically significant pain at some point during postdonation study follow-up. Across multiple outcomes, female donors, donors whose recipients died, donors with longer hospital stays after surgery, and those whose families discouraged donation were at risk for worse physical well-being outcomes. In conclusion, although not readily modifiable, we have identified risk factors that may help identify donors at risk for worse physical outcomes for targeted intervention. Liver Transplantation 00 000-000 2018 AASLD.
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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 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".