Evidence map›Paper›PMID 38379853›Full record

ArticlePhotoacoustics2024

Pre-transplant kidney quality evaluation using photoacoustic imaging during normothermic machine perfusion.

Anton V Nikolaev, Yitian Fang, Jeroen Essers, Kranthi M Panth, Gisela Ambagtsheer, Marian C Clahsen-van Groningen, Robert C Minnee, Gijs van Soest, Ron W F de Bruin

Open access · goldAbstract read
In one paragraph

Article in Photoacoustics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
6.3field-weighted citation impact, top 3% of its field
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

9 citing papers in PubMed, 11 citations in OpenAlex.

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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 at 4 institutions in 2 countries.

Anton V NikolaevErasmus MC, Cardiovascular Institute, Thorax Center, Department of Cardiology, Dr. Molewaterplein 40, 3015 GD, Rotterdam, the Netherlands.
Yitian FangErasmus MC Transplant Institute, Department of Surgery, Division of HPB and Transplant Surgery, Erasmus Medical Center, Rotterdam, Dr. Molewaterplein 40, 3015 GD, Rotterdam, the Netherlands.
Jeroen EssersDepartment of Molecular Genetics, Erasmus Medical Center, Dr. Molewaterplein 40, 3015 GD, Rotterdam, the Netherlands.
Kranthi M PanthDepartment of Molecular Genetics, Erasmus Medical Center, Dr. Molewaterplein 40, 3015 GD, Rotterdam, the Netherlands.
Gisela AmbagtsheerErasmus MC Transplant Institute, Department of Surgery, Division of HPB and Transplant Surgery, Erasmus Medical Center, Rotterdam, Dr. Molewaterplein 40, 3015 GD, Rotterdam, the Netherlands.
Marian C Clahsen-van GroningenDepartment of Pathology and Clinical Bioinformatics, Erasmus Medical Center, Dr. Molewaterplein 40, 3015 GD, Rotterdam, the Netherlands.
Robert C MinneeErasmus MC Transplant Institute, Department of Surgery, Division of HPB and Transplant Surgery, Erasmus Medical Center, Rotterdam, Dr. Molewaterplein 40, 3015 GD, Rotterdam, the Netherlands.
Gijs van SoestErasmus MC, Cardiovascular Institute, Thorax Center, Department of Cardiology, Dr. Molewaterplein 40, 3015 GD, Rotterdam, the Netherlands.
Ron W F de BruinErasmus MC Transplant Institute, Department of Surgery, Division of HPB and Transplant Surgery, Erasmus Medical Center, Rotterdam, Dr. Molewaterplein 40, 3015 GD, Rotterdam, the Netherlands.
Erasmus MC · NLErasmus MC Transplant InstituteErasmus University Rotterdam · NLMassachusetts General Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Due to the shortage of kidneys donated for transplantation, surgeons are forced to use the organs with an elevated risk of poor function or even failure. Although the existing methods for pre-transplant quality evaluation have been validated over decades in population cohort studies across the world, new methods are needed as long as delayed graft function or failure in a kidney transplant occurs. In this study, we explored the potential of utilizing photoacoustic (PA) imaging during normothermic machine perfusion (NMP) as a means of evaluating kidney quality. We closely monitored twenty-two porcine kidneys using 3D PA imaging during a two-hour NMP session. Based on biochemical analyses of perfusate and produced urine, the kidneys were categorized into 'non-functional' and 'functional' groups. Our primary focus was to quantify oxygenation (

Indexed as

KidneyNormothermic machine perfusionOxygenationOxygen saturationPhotoacousticsPre-transplant kidney qualityTransplantation

Identifiers

PMID38379853
PMCPMC10877941
OpenAlexW4391693885

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.