Evidence map›Paper›PMID 36225295›Full record

ArticleFrontiers in physiology2022

A high-throughput drug discovery pipeline to optimize kidney normothermic machine perfusion.

Smilla Hofmann, Florian Grahammer, Ilka Edenhofer, Victor G Puelles, Tobias B Huber, Jan Czogalla

Open access · goldAbstract read
In one paragraph

Article in Frontiers in physiology, 2022. 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
0.2field-weighted citation impact, top 47% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  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

6 authors at 2 institutions in 2 countries.

Smilla HofmannIII. Department of Medicine, University Medical Center Hamburg-Eppendorf UKE, Hamburg, Germany.
Florian GrahammerIII. Department of Medicine, University Medical Center Hamburg-Eppendorf UKE, Hamburg, Germany.
Ilka EdenhoferIII. Department of Medicine, University Medical Center Hamburg-Eppendorf UKE, Hamburg, Germany.
Victor G PuellesIII. Department of Medicine, University Medical Center Hamburg-Eppendorf UKE, Hamburg, Germany.
Tobias B HuberIII. Department of Medicine, University Medical Center Hamburg-Eppendorf UKE, Hamburg, Germany.
Jan CzogallaIII. Department of Medicine, University Medical Center Hamburg-Eppendorf UKE, Hamburg, Germany.
University Medical Center Hamburg-Eppendorf · DEUniversität Hamburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Kidney transplantation is the only definitive therapy for end-stage kidney disease. The shortage of organs for transplantation is the main limitation of this life-saving treatment. Normothermic machine perfusion (NMP) is a novel preservation technique with the potential to increase the number of transplantable kidneys through reducing delayed graft function and organ evaluation under physiological conditions. To date, the cellular effects and possible pharmacological interventions during machine perfusion are incompletely understood. A major limitation is the technically complex, time-consuming, and small-scale replication of NMP in rodent models. To overcome this, we developed a 3D-printed, high throughput

Indexed as

AKIer stresskidney regenerationkidney transplantationNADHnormothermic machine perfusionupr

Identifiers

PMID36225295
PMCPMC9549958
OpenAlexW4297243360

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.