Evidence map›Paper›PMID 36709217›Full record

ArticleScientific reports2023

Developing a metabolic clearance rate framework as a translational analysis approach for hyperpolarized

James T Grist, Nikolaj Bøgh, Esben Søvsø Hansen, Anna M Schneider, Richard Healicon, Vicky Ball, Jack J J J Miller, Sean Smart, Yvonne Couch, Alastair M Buchan and 2 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 32% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. 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

12 authors at 4 institutions in 2 countries.

James T GristDepartment of Physiology, Anatomy, and Genetics, University of Oxford, Oxford, UK.
Nikolaj BøghDepartment of Clinical Medicine, MR Research Centre, Aarhus University, Aarhus, Denmark.
Esben Søvsø HansenDepartment of Clinical Medicine, MR Research Centre, Aarhus University, Aarhus, Denmark.
Anna M SchneiderRadcliffe Department of Medicine, University of Oxford, Oxford, UK.
Richard HealiconDepartment of Physiology, Anatomy, and Genetics, University of Oxford, Oxford, UK.
Vicky BallDepartment of Physiology, Anatomy, and Genetics, University of Oxford, Oxford, UK.
Jack J J J MillerDepartment of Physiology, Anatomy, and Genetics, University of Oxford, Oxford, UK.
Sean SmartNuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
Yvonne CouchRadcliffe Department of Medicine, University of Oxford, Oxford, UK.
Alastair M BuchanRadcliffe Department of Medicine, University of Oxford, Oxford, UK.
Damian J Tyler *Department of Physiology, Anatomy, and Genetics, University of Oxford, Oxford, UK.
Christoffer Laustsen *Department of Clinical Medicine, MR Research Centre, Aarhus University, Aarhus, Denmark. cl@clin.au.dk.
University of Oxford · GBAarhus University · DKAarhus University Hospital · DKOxford University Hospitals NHS Trust · GB

Funding

British Heart Foundation FS/10/002/28078British Heart Foundation FS/14/17/30634British Heart Foundation FS/19/18/34252Medical Research Council G0601490
6 · The paper itself

Abstract

Hyperpolarized carbon-13 magnetic resonance imaging is a promising technique for in vivo metabolic interrogation of alterations between health and disease. This study introduces a formalism for quantifying the metabolic information in hyperpolarized imaging. This study investigated a novel perfusion formalism and metabolic clearance rate (MCR) model in pre-clinical stroke and in the healthy human brain. Simulations showed that the proposed model was robust to perturbations in T

Indexed as

BrainMagnetic Resonance ImagingAnimalsCarbon IsotopesHeadHumansMetabolic Clearance RatePyruvic AcidRatsSwineCarbon IsotopesPyruvic Acid

Identifiers

PMID36709217
PMCPMC9884306
OpenAlexW4318339180

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.