Evidence map›Paper›PMID 35130538›Full record

ArticleAmerican journal of nephrology2022

Association between the Estimated Glomerular Filtration Rate and Brain Atrophy in Older Adults.

Michael Grasing, Palash Sharma, Rebecca J Lepping, Robyn Honea, Jeffrey M Burns, William M Brooks, Aditi Gupta, Alzheimer’s Disease Neuroimaging Initiative

Open access · bronzeAbstract readMulticenter Study
In one paragraph

Article in American journal of nephrology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

12 citing papers in PubMed, 17 citations in OpenAlex.

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  11. Insights into Cognitive Brain Health in Chronic Kidney Disease.Gerontology & geriatrics : research · 2022
    Article
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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

8 authors at 1 institution in 1 country.

Michael GrasingThe School of Medicine, University of Kansas Medical Center, Kansas City, Kansas, USA.
Palash SharmaDepartment of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, Kansas, USA.
Rebecca J LeppingHoglund Biomedical Imaging Center, University of Kansas Medical Center, Kansas City, Kansas, USA.
Robyn HoneaAlzheimer's Disease Center, University of Kansas Medical Center, Kansas City, Kansas, USA.
Jeffrey M BurnsAlzheimer's Disease Center, University of Kansas Medical Center, Kansas City, Kansas, USA.
William M BrooksHoglund Biomedical Imaging Center, University of Kansas Medical Center, Kansas City, Kansas, USA.
Aditi GuptaAlzheimer's Disease Center, University of Kansas Medical Center, Kansas City, Kansas, USA.
Alzheimer’s Disease Neuroimaging Initiative
University of Kansas Medical Center · US

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
University of Kansas Alzheimer's Disease Core CentersP30AG035982 · NIA · UNIVERSITY OF KANSAS MEDICAL CENTER · PI SWERDLOW, RUSSELL H. · 2011 to 2020
$16.6M
Heartland Institute for Clinical and Translational ResearchUL1TR000001 · NCATS · UNIVERSITY OF KANSAS MEDICAL CENTER · PI BAROHN, RICHARD J. · 2012 to 2015
$13.0M
Cognitive Impairment in End Stage Renal DiseaseK23AG055666 · NIA · UNIVERSITY OF KANSAS MEDICAL CENTER · PI GUPTA, ADITI · 2017 to 2022
$1.2M
NCATS NIH HHS UL1 TR000001NIA NIH HHS K23 AG055666NIA NIH HHS P30 AG035982NIA NIH HHS U01 AG024904
6 · The paper itself

Abstract

End-stage kidney disease has been associated with cognitive impairment and brain atrophy. It remains unclear if mild to moderate kidney dysfunction is associated with brain atrophy, especially in older adults. We used cross-sectional data from the Alzheimer's Disease Neuroimaging Initiative (ADNI), an NIH-funded multicenter longitudinal cohort study, to better understand the association between estimated glomerular filtration rate (eGFR) and brain volumes. We included all ADNI participants with both baseline serum creatinine values and MRI brain volume assessments. We used multiple linear regression modeling to assess cross-sectional associations between eGFR and whole-brain gray matter, hippocampus, entorhinal, fusiform, and middle temporal brain volumes. Participants (n = 1,596) were 74 ± 7 years old with a mean eGFR of 69.4 ± 14.8 mL/min/1.73 m2; 53% had mild cognitive impairment, and 19% had dementia. Unadjusted analysis showed an association between lower eGFR and smaller brain volumes. After adjusting for age, sex, and education, there was no association between eGFR brain volumes (p > 0.05 for all). These results remained consistent after subgroup analysis by age stratification and baseline cognitive status. Age was a confounding variable in the unadjusted association between the eGFR and brain volumes. Thus, a mild to moderately reduced eGFR was not associated with brain atrophy in ADNI participants.

Indexed as

Cognitive DysfunctionRenal Insufficiency, ChronicAgedAged, 80 and overAtrophyBrainCross-Sectional StudiesGlomerular Filtration RateHumansLongitudinal StudiesMagnetic Resonance ImagingBrain atrophyChronic kidney diseaseCognitionEstimated glomerular filtration rateKidney function

Identifiers

PMID35130538
PMCPMC9060294
OpenAlexW4210926953

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.