Evidence map›Paper›PMID 31637947›Full record

ArticleJournal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism2020

Early-stage

Jessica L Hughes, John S Beech, P Simon Jones, Dechao Wang, David K Menon, Franklin I Aigbirhio, Tim D Fryer, Jean-Claude Baron

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

Article in Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact, top 82% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

8 authors at 2 institutions in 2 countries.

Jessica L HughesStroke Research Group, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK.
John S BeechDivision of Anaesthesia, Department of Medicine, University of Cambridge, Cambridge, UK.
P Simon JonesStroke Research Group, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK.
Dechao WangWolfson Brain Imaging Centre, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK.
David K MenonDivision of Anaesthesia, Department of Medicine, University of Cambridge, Cambridge, UK.
Franklin I AigbirhioWolfson Brain Imaging Centre, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK.
Tim D FryerWolfson Brain Imaging Centre, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK.
Jean-Claude BaronStroke Research Group, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK.
University of Cambridge · GBUniversité Paris Cité · FR

Funding

Medical Research Council G0001219
6 · The paper itself

Abstract

Predicting tissue outcome early after stroke is an important goal. MRI >3 h accurately predicts infarction but is insensitive to selective neuronal loss (SNL). Previous studies suggest that chronic-stage

Indexed as

AnimalsAntigens, NuclearCerebral InfarctionFemaleFlumazenilImmunohistochemistryInfarction, Middle Cerebral ArteryIschemic Attack, TransientMaleNerve Tissue ProteinsNeuronsPositron-Emission TomographyPredictive Value of TestsRadiopharmaceuticalsRatsRats, Inbred SHRAntigens, NuclearFlumazenilNerve Tissue ProteinsRadiopharmaceuticalsRbfox3 protein, ratReceptors, GABA-AGABA-Aimagingmiddle-cerebral arterypositron emission tomographystroke

Identifiers

PMID31637947
PMCPMC7786851
OpenAlexW2981478501

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.