Evidence map›Paper›PMID 40078915›Full record

ArticleRoyal Society open science2025

Real-time organ perfusion monitoring of human kidney transplants using

P Chandak, D P Bennett, B L Phillips, R Uwechue, N Kessaris, B J Hunt, C J Callaghan, A Dorling, W Hayes, N Mamode and 1 more

Abstract read
In one paragraph

Article in Royal Society open science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

P Chandak *Transplant, Renal and Urology Directorate, Guy's and St Thomas' NHS Foundation Trust, Guy's Hospital, Great Maze Pond, London, UK.ORCID https://orcid.org/0000-0002-6873-5965
D P Bennett *Interface Analysis Centre, HH Wills Physics Laboratory, School of Physics, University of Bristol, Bristol, UK.
B L PhillipsTransplant, Renal and Urology Directorate, Guy's and St Thomas' NHS Foundation Trust, Guy's Hospital, Great Maze Pond, London, UK.
R UwechueTransplant, Renal and Urology Directorate, Guy's and St Thomas' NHS Foundation Trust, Guy's Hospital, Great Maze Pond, London, UK.
N KessarisTransplant, Renal and Urology Directorate, Guy's and St Thomas' NHS Foundation Trust, Guy's Hospital, Great Maze Pond, London, UK.
B J HuntThrombosis and Vascular Biology Group, Rayne Institute, Guys and St Thomas' NHS Foundation Trust and King's Health Partners, St Thomas' Hospital, London, UK.
C J CallaghanTransplant, Renal and Urology Directorate, Guy's and St Thomas' NHS Foundation Trust, Guy's Hospital, Great Maze Pond, London, UK.
A DorlingTransplant, Renal and Urology Directorate, Guy's and St Thomas' NHS Foundation Trust, Guy's Hospital, Great Maze Pond, London, UK.
W HayesDepartment of Nephrology and Transplantation, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK.
N MamodeDepartment of Inflammation Biology, Centre for Nephrology, Urology and Transplantation, School of Immunology and Microbial Sciences, King's College London, London, UK.
J C C DayInterface Analysis Centre, HH Wills Physics Laboratory, School of Physics, University of Bristol, Bristol, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transplantation is the standard treatment for end-stage kidney disease but carries with it a non-trivial risk of post-operative complication. There is a need for a continuous, real-time, not additionally invasive method of monitoring organ perfusion. We present an approach to allograft perfusion monitoring using a human kidney model using

Indexed as

human transplantmachine perfusionperfusion monitoringreflectance spectroscopy

Identifiers

PMID40078915
PMCPMC11897824

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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.