SynthesisVisceral medicine2022
Machine Perfusion in Liver Transplantation: A Systematic Review and Meta-Analysis.
Synthesis in Visceral medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Oncologic Outcomes of Interventions to Decrease Allograft Ischemia-Reperfusion Injury within Patients Undergoing Liver Transplantation for Hepatocellular Carcinoma: A Systematic Review.Current oncology (Toronto, Ont.) · 2024Pooled it
- Transplant international : official journal of the European Society for Organ Transplantation · 2024Pooled it
- Machine perfusion in liver transplantation.The Cochrane database of systematic reviews · 2023Pooled it
- Hypothermic Machine Perfusion Is Associated with Improved Short-Term Outcomes in Liver Transplantation: A Retrospective Cohort Study.Life (Basel, Switzerland) · 2025Article
- Evaluation of the advanced air mobility potential for organ transplantation in Austria and Germany.Scientific reports · 2024Article
- Machine Perfusion and Bioengineering Strategies in Transplantation-Beyond the Emerging Concepts.Transplant international : official journal of the European Society for Organ Transplantation · 2024Review
- The Current Role and Future Applications of Machine Perfusion in Liver Transplantation.Bioengineering (Basel, Switzerland) · 2023Review
- Comprehensive review of the application of MP and the potential for graft modification.Frontiers in transplantation · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Liver transplantation (LTx) is the only treatment option for patients with end-stage liver disease. Novel organ preservation techniques such as hypothermic machine perfusion (HMP) or normothermic machine perfusion (NMP) are under investigation in order to improve organ quality from extended criteria donors and donors after circulatory death. The aim of this study was to systematically review the literature reporting LTx outcomes using NMP or HMP compared to static cold storage (SCS). Methods: The following data were retrieved: graft primary nonfunction rate, early allograft dysfunction (EAD) rate, biliary complication rate, and 12-month graft and patient survival. A total of 15 studies were included (6 NMP and 9 HMP studies), and meta-analysis was performed only for HMP studies because NMP had considerable differences. Results: The systematic review showed the potential of NMP to reduce graft injury and lower the liver graft discard rate. The performed quantitative analyses showed that the use of HMP reduces the rate of EAD (odds ratio [OR] 0.51; 95% confidence interval [CI] 0.34-0.76; Conclusion: Our systematic review and meta-analysis revealed that the use of HMP reduces the rate of EAD and non-anastomotic biliary strictures compared to SCS.
Indexed as
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.