Evidence map›Paper›PMID 22470392›Full record

ArticleNephron extra2011

Exploring the Relationships between Hemoglobin, the Endothelium and Vascular Health in Patients with Chronic Kidney Disease.

Catherine Weber, Mhairi Sigrist, Alexandra Romann, Beth A Whalen, Adeera Levin

Open access · goldAbstract read
In one paragraph

Article in Nephron extra, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 89% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Extracellular Vesicles in Renal Diseases: More than Novel Biomarkers?Journal of the American Society of Nephrology : JASN · 2016
    Review
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 3 institutions in 2 countries.

Catherine WeberDivision of Nephrology, Department of Medicine, University of British Columbia, St. Paul's Hospital, Vancouver, B.C., Canada.
Mhairi Sigrist
Alexandra Romann
Beth A Whalen
Adeera Levin
University of British Columbia · CARenal Association · GBSt. Paul's Hospital · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimsThe ideal hemoglobin target in chronic kidney disease remains unknown. Ultimately, individualized targets may depend upon the properties of the patient's endothelial and vascular milieu, and thus the complex relationships between these factors need to be further explored.

methodsForty-six patients with a glomerular filtration rate (GFR) <30 ml/min/1.73 m(2) or on renal replacement therapy underwent measurement of hemoglobin, endothelial microparticles (EMPs) and aortic pulse wave velocity (PWV) at 0, 3 and 6 months. In addition, a number of inflammatory, cardiac and vascular biomarkers were measured at baseline.

resultsNo correlation was observed between baseline values of PWV and EMPs, PWV and hemoglobin, or hemoglobin and EMPs in the overall cohort. When stratified by CKD status, a positive correlation was observed between PWV and EMP CD41-/CD144+ in patients with GFR <30 ml/min/1.73 m(2) only (r = 0.54, p = 0.01). Asymmetric dimethylarginine correlated with baseline PWV (r = 0.27, p = 0.07), and remained significantly correlated with the 3- and 6-month PWV measurement.

conclusionsIn this small heterogeneous cohort of dialysis and non-dialysis patients, we were unable to describe a physiologic link between anemia, endothelial dysfunction and arterial stiffness.

Indexed as

AnemiaBiomarkersChronic kidney diseaseEndothelial dysfunctionPulse wave velocityVascular disease

Identifiers

PMID22470392
PMCPMC3290845
OpenAlexW2052782294

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.