Evidence map›Paper›PMID 33067777›Full record

Observational studyTranslational stroke research2021

Uric Acid and Gluconic Acid as Predictors of Hyperglycemia and Cytotoxic Injury after Stroke.

Zsuzsanna Ament, Matthew B Bevers, Zoe Wolcott, W Taylor Kimberly, Animesh Acharjee

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in Translational stroke research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

38 citing papers in PubMed, 46 citations in OpenAlex.

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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

5 authors at 4 institutions in 2 countries.

Zsuzsanna AmentCenter for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, 185 Cambridge Street, Boston, MA, 02114, USA.ORCID https://orcid.org/0000-0002-0316-4348
Matthew B BeversDivision of Stroke, Cerebrovascular and Crital Care Neurology, Brigham and Women's Hospital, 75 Francis Street, Boston, MA, 02115, USA.
Zoe WolcottCenter for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, 185 Cambridge Street, Boston, MA, 02114, USA.
W Taylor KimberlyCenter for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, 185 Cambridge Street, Boston, MA, 02114, USA. wtkimberly@mgh.harvard.edu.ORCID https://orcid.org/0000-0002-2519-8530
Animesh AcharjeeCollege of Medical and Dental Sciences, Institute of Cancer and Genomic Sciences, Centre for Computational Biology, University of Birmingham, Birmingham, UK. a.acharjee@bham.ac.uk.ORCID https://orcid.org/0000-0003-2735-7010
Harvard University · USBrigham and Women's Hospital · USMassachusetts General Hospital · USUniversity Hospitals Birmingham NHS Foundation Trust · GB

Funding

Metabolomic predictors of stroke in REGARDSR01NS099209 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI KIMBERLY, WILLIAM TAYLOR · 2017 to 2021
$2.4M
American Academy of Neurology AI18-0000000062NINDS NIH HHS NS099209NINDS NIH HHS R01 NS099209
6 · The paper itself

Abstract

Hyperglycemia is a feature of worse brain injury after acute ischemic stroke, but the underlying metabolic changes and the link to cytotoxic brain injury are not fully understood. In this observational study, we applied regression and machine learning classification analyses to identify metabolites associated with hyperglycemia and a neuroimaging proxy for cytotoxic brain injury. Metabolomics and lipidomics were carried out using liquid chromatography-tandem mass spectrometry in admission plasma samples from 381 patients presenting with an acute stroke. Glucose was measured by a central clinical laboratory, and a subgroup of patients (n = 201) had apparent diffusion coefficient (ADC) imaging quantified on magnetic resonance imaging (MRI) to estimate cytotoxic injury. Uric acid was the leading metabolite in univariate analysis of both hyperglycemia (OR 19.6, 95% CI 8.6-44.7, P = 1.44 × 10

Indexed as

Brain IschemiaHyperglycemiaStrokeGluconatesHumansLaboratories, ClinicalUric AcidGluconatesgluconic acidUric AcidHyperglycemiaMachine learningMetabolomicsNeuroimagingStroke

Identifiers

PMID33067777
PMCPMC7933067
OpenAlexW3092861963

What OpenQuestion holds

Textmetadata
LicenceTDM
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.