Evidence map›Paper›PMID 40089938›Full record

ArticleGeneral thoracic and cardiovascular surgery2025

Novel pulmonary abdominal normothermic regional perfusion circuit for simultaneous in-donor evaluation and preservation of lungs and abdominal organs in donation after circulatory death.

Shin Tanaka, Masashi Umeda, Hiroyuki Ujike, Tsuyoshi Ryuko, Yasuaki Tomioka, Kentaroh Miyoshi, Mikio Okazaki, Seiichiro Sugimoto, Shinichi Toyooka

Abstract read
In one paragraph

Article in General thoracic and cardiovascular surgery, 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. Research advances in consistency and variability inJournal of thoracic disease · 2026
    Review
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.

Shin TanakaDepartment of General Thoracic and Breast and Endocrinological Surgery, Dentistry and Pharmaceutical Sciences, Okayama University Graduate School of Medicine, 2-5-1, Shikata-cho, Kita-ku, Okayama, Japan. shin-tnk-5@s.okayama-u.ac.jp.ORCID http://orcid.org/0000-0002-0014-9230
Masashi UmedaDepartment of General Thoracic and Breast and Endocrinological Surgery, Dentistry and Pharmaceutical Sciences, Okayama University Graduate School of Medicine, 2-5-1, Shikata-cho, Kita-ku, Okayama, Japan.
Hiroyuki UjikeDepartment of General Thoracic Surgery, Shimane University Graduate School of Medicine, Shimane, Japan.
Tsuyoshi RyukoDepartment of General Thoracic and Breast and Endocrinological Surgery, Dentistry and Pharmaceutical Sciences, Okayama University Graduate School of Medicine, 2-5-1, Shikata-cho, Kita-ku, Okayama, Japan.
Yasuaki TomiokaDepartment of General Thoracic and Breast and Endocrinological Surgery, Dentistry and Pharmaceutical Sciences, Okayama University Graduate School of Medicine, 2-5-1, Shikata-cho, Kita-ku, Okayama, Japan.
Kentaroh MiyoshiDepartment of General Thoracic and Breast and Endocrinological Surgery, Dentistry and Pharmaceutical Sciences, Okayama University Graduate School of Medicine, 2-5-1, Shikata-cho, Kita-ku, Okayama, Japan.
Mikio OkazakiDepartment of General Thoracic and Breast and Endocrinological Surgery, Dentistry and Pharmaceutical Sciences, Okayama University Graduate School of Medicine, 2-5-1, Shikata-cho, Kita-ku, Okayama, Japan.
Seiichiro SugimotoDepartment of General Thoracic and Breast and Endocrinological Surgery, Dentistry and Pharmaceutical Sciences, Okayama University Graduate School of Medicine, 2-5-1, Shikata-cho, Kita-ku, Okayama, Japan.
Shinichi ToyookaDepartment of General Thoracic and Breast and Endocrinological Surgery, Dentistry and Pharmaceutical Sciences, Okayama University Graduate School of Medicine, 2-5-1, Shikata-cho, Kita-ku, Okayama, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo overcome limitations of traditional ex vivo lung perfusion (EVLP) for controlled donation after circulatory death (cDCD) lungs, this study aimed to evaluate a novel pulmonary abdominal normothermic regional perfusion (PANRP) technique, which we uniquely designed, for in situ assessment of lungs from cDCD donors.

methodsWe modified the abdominal normothermic regional perfusion circuit for simultaneous lung and abdominal organ assessment using independent extracorporeal membrane oxygenation components. Blood was oxygenated via a membrane oxygenator and returned to the body, with pulmonary flow adjusted to maintain pressure < 25 mmHg. Femoral cannulation was performed, and the lungs were ventilated with standard settings. Organ function was assessed over 2 h using PaO2/FiO2, AST, ALT, BUN, and Cr measurements to monitor perfusion and oxygen delivery.

resultsPANRP maintained stable lung function, with P/F ratios above 300, and preserved abdominal organ parameters, including stable AST, ALT, BUN, and Cr levels. Adequate urine output was observed, indicating normal renal function. Pulmonary artery pressure remained < 20 mmHg, and pulmonary vascular resistance was kept at 400 dyn・s/cm

conclusionsPANRP offers a promising alternative to traditional EVLP for cDCD lung evaluation, allowing in situ assessment of multiple organs simultaneously. This approach may overcome logistical and economic challenges associated with ex vivo techniques, enabling a more efficient evaluation process. Further studies are warranted to confirm its clinical applicability and impact on long-term outcomes.

Indexed as

LungLung TransplantationOrgan PreservationPerfusionTissue DonorsAdultExtracorporeal Membrane OxygenationFemaleHumansMaleMiddle AgedTime FactorsAbdominal normothermic regional perfusionDonation after circulatory deathLung preservation

Identifiers

PMID40089938
PMCPMC12378916

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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.