Evidence map›Paper›PMID 31782036›Full record

ReviewMagma (New York, N.Y.)2020

Hyperpolarised

Michael Pedersen, Stephan Ursprung, Jens Dam Jensen, Bente Jespersen, Ferdia Gallagher, Christoffer Laustsen

Open access · greenAbstract readReview
PubMed Publisher
In one paragraph

Review in Magma (New York, N.Y.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-weighted citation impact, top 30% 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

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. SABRE Ir-IMes Catalysis for the Masses.Molecules (Basel, Switzerland) · 2025
    Article
  2. Review
  3. New Horizons in HyperpolarizedMolecular imaging and biology · 2024
    Article
  4. Review
  5. Review
  6. HyperpolarizedNMR in biomedicine · 2021
    Review
  7. Hardware Considerations for Preclinical Magnetic Resonance of the Kidney.Methods in molecular biology (Clifton, N.J.) · 2021
    Article
  8. 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 3 institutions in 2 countries.

Michael PedersenComparative Medicine Lab, Aarhus University, Aarhus, Denmark.
Stephan UrsprungDepartment of Radiology, University of Cambridge, Addenbrooke's Hospital, Cambridge, UK.
Jens Dam JensenDepartment of Renal Medicine, Aarhus University Hospital, Aarhus, Denmark.
Bente JespersenDepartment of Renal Medicine, Aarhus University Hospital, Aarhus, Denmark.
Ferdia GallagherDepartment of Radiology, University of Cambridge, Addenbrooke's Hospital, Cambridge, UK.
Christoffer LaustsenMR Research Centre, Department of Clinical Medicine, Aarhus University Hospital, Palle Juul Jensens Boulevard, 8200, Aarhus N, Denmark. cl@clin.au.dk.ORCID http://orcid.org/0000-0002-0317-2911
Aarhus University Hospital · DKUniversity of Cambridge · GBAarhus University · DK

Funding

Cancer Research UK 16628Cancer Research UK 27150
6 · The paper itself

Abstract

Magnetic resonance imaging (MRI) is a well-established modality for assessing renal morphology and function, as well as changes that occur during disease. However, the significant metabolic changes associated with renal disease are more challenging to assess with MRI. Hyperpolarized carbon-13 MRI is an emerging technique which provides an opportunity to probe metabolic alterations at high sensitivity by providing an increase in the signal-to-noise ratio of 20,000-fold or more. This review will highlight the current status of hyperpolarised

Indexed as

Carbon IsotopesMagnetic Resonance ImagingPositron-Emission TomographyAnimalsBiomarkersGlycolysisHumansHypoxiaImage Processing, Computer-AssistedKidneyKidney DiseasesOxidation-ReductionBiomarkersCarbon-13Carbon IsotopesHyperpolarisationKidneyMetabolismMRIRenal

Identifiers

PMID31782036
OpenAlexW2990560157

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.