Evidence map›Paper›PMID 40590003›Full record

ArticleTransplantation direct2025

Survey of Early Practices and Perceptions of Liver Machine Perfusion Among US Liver Transplant Surgeons.

Michelle C Nguyen, Xingjie Li, Chi Zhang, Stephanie Ohara, Mehrdad Motamed, Caroline C Jadlowiec, Adyr A Moss, Kunam S Reddy, Amit K Mathur

Abstract read
In one paragraph

Article in Transplantation direct, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Michelle C NguyenDivision of Transplant Surgery, Department of Surgery, Mayo Clinic Arizona, Phoenix, AZ.ORCID https://orcid.org/0000-0003-4827-6367
Xingjie LiDivision of Transplant Surgery, Department of Surgery, Mayo Clinic Arizona, Phoenix, AZ.
Chi ZhangDepartment of Surgery, Mayo Clinic Arizona, Phoenix, AZ.
Stephanie OharaDivision of Transplant Surgery, Department of Surgery, Mayo Clinic Arizona, Phoenix, AZ.
Mehrdad MotamedDepartment of Quantitative Health Science Research, Mayo Clinic Arizona, Phoenix, AZ.
Caroline C JadlowiecDivision of Transplant Surgery, Department of Surgery, Mayo Clinic Arizona, Phoenix, AZ.
Adyr A MossDivision of Transplant Surgery, Department of Surgery, Mayo Clinic Arizona, Phoenix, AZ.
Kunam S ReddyDivision of Transplant Surgery, Department of Surgery, Mayo Clinic Arizona, Phoenix, AZ.
Amit K MathurDivision of Transplant Surgery, Department of Surgery, Mayo Clinic Arizona, Phoenix, AZ.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Ex vivo machine perfusion (MP) has transformed organ preservation, offering significant benefits in liver transplantation (LT), particularly with high-risk donor grafts. However, adoption in the United States has been limited. We aimed to examine early adoption trends, surgeon perceptions, and barriers to implementing MP in the United States after Food and Drug Administration approval of MP platforms. Methods: A 23-question electronic survey was distributed to members of the American Society of Transplant Surgeons between October and November 2022, capturing attitudes and practices related to MP adoption. Responses from 96 surgeons representing 77 LT centers across 11 Organ Procurement and Transplantation Network regions were analyzed. Results: Forty-four respondents (48%) reported having an MP program at their institution. Adoption of MP was significantly more common in high-volume centers and those performing ≥20 donation after circulatory death (DCD) transplants annually ( Conclusions: MP enhances graft utilization and outcomes, particularly for complex and high-risk donor livers, but widespread US adoption requires addressing financial and logistical barriers. Future efforts should focus on refining cost-effectiveness analyses, collaboration with organ procurement organizations and device companies, and developing standardized training to optimize MP integration and maximize its clinical impact on LT.

Identifiers

PMID40590003
PMCPMC12208642

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.