Evidence map›Paper›PMID 33799818›Full record

ArticleBiomolecules2021

Arginine Metabolites as Biomarkers of Myocardial Ischaemia, Assessed with Cardiac Magnetic Resonance Imaging in Chronic Kidney Disease.

Ranjit J Shah, Sara Tommasi, Randall Faull, Jonathan M Gleadle, Arduino A Mangoni, Joseph B Selvanayagam

Open access · goldAbstract read
In one paragraph

Article in Biomolecules, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 21% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Comparison of BTP, NGAL, KIM-1, & ADMA biomarkers in CKD and non-CKD subjects.International journal of biochemistry and molecular biology · 2023
    Article
  7. 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 1 country.

Ranjit J ShahDepartment of Cardiovascular Medicine, Flinders Medical Centre, Bedford Park, SA 5042, Australia.
Sara TommasiCollege of Medicine and Public Health, Flinders University, Bedford Park, SA 5042, Australia.
Randall FaullDepartment of Renal Medicine, Royal Adelaide Hospital, Adelaide, SA 5000, Australia.
Jonathan M GleadleCollege of Medicine and Public Health, Flinders University, Bedford Park, SA 5042, Australia.
Arduino A MangoniCollege of Medicine and Public Health, Flinders University, Bedford Park, SA 5042, Australia.ORCID 0000-0001-8699-1412
Joseph B SelvanayagamDepartment of Cardiovascular Medicine, Flinders Medical Centre, Bedford Park, SA 5042, Australia.
Flinders University · AURoyal Adelaide Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

(1) Background: Cardiovascular disease (CVD) is the major cause of morbidity and mortality in patients with chronic kidney disease (CKD). Myocardial oxygenation and perfusion response to stress, using oxygen-sensitive cardiovascular magnetic resonance (OS-CMR) and stress T1 mapping respectively, are impaired in CKD patients with and without known coronary artery disease (CAD). Endothelial dysfunction, assessed by circulating levels of asymmetric dimethylarginine (ADMA) and homoarginine (HMA), promotes atherosclerosis. We hypothesized that in CKD patients, worsening endothelial dysfunction is associated with worsening myocardial oxygenation and perfusion as assessed by change in OS-CMR signal intensity (Δ OS-CMR SI) and stress T1 (ΔT1) values. (2) Methods: 38 patients with advanced CKD underwent cardiovascular magnetic resonance (CMR) scanning at 3 Tesla. OS-CMR and T1 mapping images were acquired both at rest and after adenosine stress and analyzed semi-quantitatively. Serum ADMA and HMA concentrations were assessed using mass spectrometry. (3) Results: There was no significant correlation between Δ OS-CMR SI and ADMA or HMA. Interestingly, there was a significant negative correlation seen between Δ T1 and ADMA (r = -0.419,

Indexed as

Magnetic Resonance ImagingMetabolomeArginineBiomarkersBody Mass IndexCase-Control StudiesC-Reactive ProteinDiabetes MellitusDialysisEndothelium, VascularFemaleHeart VentriclesHumansHypertensionKidneyMaleArginineBiomarkersC-Reactive ProteinOxygenTroponin Tchronic kidney diseaseCKDendothelial dysfunctionOS-CMRoxygen-sensitive cardiovascular magnetic resonance imagingstress T1 mapping

Identifiers

PMID33799818
PMCPMC8002086
OpenAlexW3137147176

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.