Diaphragmatic Hernia After Living Donor Right Hepatectomy: Proposal for a Screening Protocol
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Living donor hepatectomy (LDH) is increasingly being used to improve access to liver transplantation for those with end-stage liver disease. Although recipient outcomes are equivalent, donor complication rates range from 10% to 41%. A rare, but potentially serious complication is occurrence of a diaphragmatic hernia (DH), of which 9 cases have been reported so far in the literature. The purpose of this work was to review the clinical impact of DH post-LDH, including risk factors (RF) in hope of mitigating impact. METHODS: A literature review was performed identifying all previous reports of post-operative DH in living liver donors. Demographic and outcome data were gathered to help identify RF. We also report 2 cases from our own institution. RESULTS: Reported incidences range from 0.6% to 2.3%, of which the majority are delayed (≥19 months). Obstruction or intestinal strangulation was present in 45%, 60% of whom required an intestinal resection. The most common RF was right lobe donation. CONCLUSIONS: Postoperative DH is a rare but serious complication of LDH. The major RFs are right lobe donation and potentially conditions resulting in increased intraabdominal pressure. Diaphragmatic hernia frequently lead to intestinal obstruction and strangulation and should be repaired when identified. The implementation of a screening protocol for early identification could lead to repair before the development of complications. We propose the addition of screening chest x-ray to follow-up protocols to aid in the identification and subsequent repair of postoperative DH. Such a practice could hopefully reduce the clinical impact of this complication.
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.
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) | 0.001 | 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 it