Financial, vocational, and interpersonal impact of living liver donation
Bibliographic record
Abstract
The ability to inform prospective donors of the psychosocial risks of living liver donation is currently limited by the scant empirical literature. The present study was designed to examine donor perceptions of the impact of donation on financial, vocational, and interpersonal life domains and identify demographic and clinical factors related to longer recovery times and greater life interference. A total of 143 donors completed a retrospective questionnaire that included a standardized measure of life interference [Illness Intrusiveness Rating Scale (IIRS)] and additional questions regarding the perceived impact of donation. Donor IIRS scores suggested that donors experience a relatively low level of life interference due to donation [1.60 +/- 0.72, with a possible range of 1 ("not very much" interference) to 7 ("very much" interference)]. However, approximately 1 in 5 donors reported that donating was a significant financial burden. Logistic regression analysis revealed that donors with a psychiatric diagnosis at or prior to donation took longer to return to their self-reported predonation level of functioning (odds ratio = 3.78, P = 0.016). Medical complications were unrelated to self-reported recovery time. Multiple regression analysis revealed 4 independent predictors of greater life interference: less time since donation (b = 0.11, P < 0.001), income lower than CAD$100,000 (b = 0.28, P = 0.038), predonation concerns about the donation process (b = 0.24, P = 0.008), and the perception that the recipient is not caring for the new liver (b = 0.12, P = 0.031). In conclusion, life interference due to living liver donation appears to be relatively low. Donors should be made aware of risk factors for greater life disruptions post-surgery and of the potential financial burden of donation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".