Evidence map›Paper›PMID 35721396›Full record

ArticleCanadian journal of kidney health and disease2022

Visuospatial and Executive Dysfunction in Patients With Acute Kidney Injury, Chronic Kidney Disease, and Kidney Failure: A Multilevel Modeling Analysis.

Natasha A Jawa, Jessica A Vanderlinden, Stephen H Scott, Jill A Jacobson, Samuel A Silver, Rachel Holden, J Gordon Boyd

Open access · goldAbstract read
In one paragraph

Article in Canadian journal of kidney health and disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 39% 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

3 citing papers in PubMed, 3 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

7 authors at 1 institution in 1 country.

Natasha A JawaCentre for Neuroscience Studies, Faculty of Health Sciences, Queen's University, Kingston, ON, Canada.ORCID https://orcid.org/0000-0001-7600-7178
Jessica A VanderlindenCentre for Neuroscience Studies, Faculty of Health Sciences, Queen's University, Kingston, ON, Canada.ORCID https://orcid.org/0000-0003-4167-8697
Stephen H ScottCentre for Neuroscience Studies, Faculty of Health Sciences, Queen's University, Kingston, ON, Canada.
Jill A JacobsonDepartment of Psychology, Queen's University, Kingston, ON, Canada.
Samuel A SilverDivision of Nephrology, Department of Medicine, Queen's University, Kingston, ON, Canada.ORCID https://orcid.org/0000-0002-1843-6131
Rachel HoldenDivision of Nephrology, Department of Medicine, Queen's University, Kingston, ON, Canada.ORCID https://orcid.org/0000-0001-6431-3127
J Gordon BoydCentre for Neuroscience Studies, Faculty of Health Sciences, Queen's University, Kingston, ON, Canada.
Queen's University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Neurocognitive impairment is a common finding across the spectrum of kidney disease and carries important consequences for quality of life. We previously demonstrated that robotic technology can identify neurocognitive impairments not readily detectable by traditional testing in patients with acute kidney injury (AKI) and chronic kidney disease (CKD). Objective: The present study aimed to assess whether these quantifiable deficits in neurocognition differ based on a diagnosis of AKI, CKD, or kidney failure. Design: This was a cross-sectional analysis of participants previously enrolled in an observational study. Setting: Patients were enrolled at a tertiary academic hospital, Kingston Health Sciences Centre, Kingston, ON, Canada. Patients: Adults with AKI, CKD, or kidney failure. Measurements: Each participant underwent robotic neurocognitive assessment using the Kinarm: an interactive robotic device that uses a series of behavioral tasks involving movement of the upper limbs to precisely quantify neurocognitive impairment across a variety of neurocognitive domains. Methods: Multilevel modeling was used to determine the effect of Kinarm task type, kidney diagnostic group (AKI vs CKD vs kidney failure), and the interaction between the two, on neurocognitive performance. Results: A total of 104 participants within 1 year of an AKI event or with CKD category G3-5 were enrolled. We found that across all of the kidney diagnostic groups, participants performed worst on the Kinarm tasks of Reverse Visually Guided Reaching ( Limitations: Kinarm assessment was performed at a single time point, and the sample size itself was small, which may lead to the risk of a false-positive association despite the use of multilevel modeling. Our sample size also did not permit inclusion of the underlying etiology of kidney impairment as a covariate in our analyses, which may have also influenced neurocognitive function. Conclusions: In this study that utilized the Kinarm to assess neurocognitive function, patients with AKI demonstrated significantly worse neurocognitive functioning than patients with CKD or kidney failure on a task measuring executive function and visuomotor control.

Indexed as

acute kidney injurychronic kidney diseasecognitive dysfunctionmultilevel analysisneurocognitive test

Identifiers

PMID35721396
PMCPMC9201347
OpenAlexW4285740828

What OpenQuestion holds

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LicenceCC BY
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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.