Evidence map›Paper›PMID 36483475›Full record

ArticleeNeurologicalSci2022

Albuminuria, cognition, and MRI biomarkers of cerebrovascular disease in American Indians of the Zuni Pueblo.

Sephira G Ryman, Arvind Caprihan, Gary Rosenberg, Jillian Prestopnik, Michele Quam, Donica Ghahate, Vernon S Pankratz, Thomas Faber, Mark Unruh, Vallabh Shah

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

Article in eNeurologicalSci, 2022. 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
0.3field-weighted citation impact, top 40% 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, 2 citations in OpenAlex.

  1. 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

10 authors at 3 institutions in 1 country.

Sephira G RymanMind Research Network, Albuquerque, NM, USA.
Arvind CaprihanMind Research Network, Albuquerque, NM, USA.
Gary RosenbergUniversity of New Mexico Health Sciences Center, Department of Neurology, Albuquerque, NM, USA.
Jillian PrestopnikUniversity of New Mexico Health Sciences Center, Department of Neurology, Albuquerque, NM, USA.
Michele QuamUniversity of New Mexico Health Sciences Center, Department of Internal Medicine, University of New Mexico, Albuquerque, NM, USA.
Donica GhahateUniversity of New Mexico Health Sciences Center, Department of Internal Medicine, University of New Mexico, Albuquerque, NM, USA.
Vernon S PankratzUniversity of New Mexico Health Sciences Center, Department of Internal Medicine, University of New Mexico, Albuquerque, NM, USA.
Thomas FaberIndian Health Services, NM, USA.
Mark UnruhUniversity of New Mexico Health Sciences Center, Department of Internal Medicine, University of New Mexico, Albuquerque, NM, USA.
Vallabh ShahUniversity of New Mexico Health Sciences Center, Department of Internal Medicine, University of New Mexico, Albuquerque, NM, USA.
University of New Mexico · USMind Research Network · USIndian Health Service · US

Funding

Scientific CoreP20AG068077 · NIA · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI ADAIR, JOHN CHALMERS · 2020 to 2022
$3.1M
NIA NIH HHS P20 AG068077
6 · The paper itself

Abstract

Background: Elevated urine albumin to creatinine ratio (UACR) is associated with cerebrovascular disease and cognitive impairment in older adults, though few studies have evaluated these relationships in midlife. This is particularly important to assess in American Indian populations, which are disproportionately impacted by diabetes and kidney disease. Additionally, evidence suggests that biomarkers may perform differently in underrepresented groups, thus, it is crucial to validate biomarkers in this unique population. Methods: Twenty-five participants from the Zuni Pueblo underwent neuropsychological assessment and an MRI that included fluid attenuated inversion recovery (FLAIR) and diffusion imaging to calculate recently developed MRI markers of cerebrovascular small vessel disease (Peak width of Skeletonized Mean Diffusivity (PSMD), mean free-water fraction (mFW), white matter hyperintensity (WMH)). Results: Regression analyses indicated no significant associations between UACR, MRI biomarkers and cognitive outcomes. Analyses of covariance indicated that the Zuni Indian cohort exhibited reduced white matter damage relative to an existing cohort of older adults with vascular cognitive impairment when accounting for age, sex, and education. Slower processing speed was associated with greater white matter disease across all measures examined. Conclusions: Our pilot study validated the use of MRI biomarkers of cerebrovascular disease in this unique cohort of American Indians.

Indexed as

AlbuminuriaCerebrovascular diseaseCognitionMRI biomarkersZuni Indians

Identifiers

PMID36483475
PMCPMC9722485
OpenAlexW4310371236

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.