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Record W4416303789 · doi:10.5500/wjt.v15.i4.104675

Systematic review and meta-analysis of the role of aorto-hepatic conduits in liver transplant: Known knowns and known unknowns

2025· article· en· W4416303789 on OpenAlexaboutno aff
Buddhika Uragoda Appuhamilage, Sahil Gupta, Alessandro Parente, Parthi Srinivasan, Krishna Menon, Abdul Hakeem

Bibliographic record

VenueWorld Journal of Transplantation · 2025
Typearticle
Languageen
FieldMedicine
TopicOrgan Transplantation Techniques and Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsOcclusionMEDLINEClinical Practice

Abstract

fetched live from OpenAlex

BACKGROUND Aorto-hepatic conduits (AHCs) are an effective revascularization method for liver allografts when the native hepatic artery is unusable. Various studies have confirmed that outcomes with AHCs are inferior to those with native hepatic artery inflow. AIM To investigate the published evidence on the outcomes according to different inflow site for AHCs. METHODS A systematic search was conducted for studies reporting on AHCs in liver transplantation over the last 10 years (January 2014 onwards). Two independent reviewers selected articles, assessed quality, and evaluated bias in the included systematic reviews. The methodological quality of the included studies was assessed using the Newcastle-Ottawa Scale. The protocol was registered with PROSPERO (CRD42024545810). Review was conducted using the Preferred Reporting Items for Systematic Review and Meta-Analysis statement standards. RESULTS Fourteen studies identified a total of 32486 deceased donor liver transplants, of which 1136 (3.5%) required AHCs. The most frequent indications for AHC use included poor arterial flow, intimal dissections, and hepatic artery thrombosis. Among all AHCs, 207 (18.2%) were supra-coeliac (SC) AHCs, 738 (65.0%) infra-renal (IR) AHCs, 25 (2.2%) iliac artery conduits, and 166 (14.6%) had unspecified origins. Pooled analysis revealed comparable demographic characteristics. The median follow-up duration ranged from 18 to 52 months. There were no significant differences in early occlusions of AHCs [odds ratio (OR) = 0.94 (0.48, 1.84); P = 0.86], late occlusions of AHCs [OR = 0.46 (0.16, 1.32); P = 0.15], early allograft dysfunction [OR = 0.82 (0.46, 1.47); P = 0.51], biliary complications [OR = 1.10 (0.69, 1.76); P = 0.68], post-transplant renal replacement therapy (RRT) requirement [OR = 1.12 (0.72, 1.72); P = 0.62], and major surgical complications (Clavien-Dindo > 3b) [OR = 1.06 (0.70, 1.61); P = 0.79]. The median duration for graft occlusion was approximately 142 days, ranging from 13 to 3313 days. One-year graft and patient survival rates for SC conduits were 77% to 81.1% and 80% to 85.1%, respectively. For IR conduits, one-year graft and patient survival rates were 66% to 79.1% and 73% to 88.3%, respectively. Five-year graft and patient survival rates for SC conduits were 53.9% to 67% and 67.8% to 74%, respectively. For IR conduits, five-year graft and patient survival rates were 50% to 56% and 56% to 64.9%, respectively. CONCLUSION Considering these findings, there is no significant difference in early and late outcomes between SC and IR AHCs, although there is a discernible tendency towards higher late occlusion rates in the IR group.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.020
metaresearch head score (Gemma)0.060
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.022
Threshold uncertainty score0.108

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0200.060
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0220.038
Bibliometrics0.0090.009
Science and technology studies0.0010.001
Scholarly communication0.0040.003
Open science0.0020.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0050.000

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.

Opus teacher head0.015
GPT teacher head0.284
Teacher spread0.269 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreReview

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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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