Evidence map›Paper›PMID 29314393›Full record

ArticleJournal of neuroimaging : official journal of the American Society of Neuroimaging2018

Global Cerebral Atrophy Detected by Routine Imaging: Relationship with Age, Hippocampal Atrophy, and White Matter Hyperintensities.

Omar M Al-Janabi, Pradeep Panuganti, Erin L Abner, Ahmed A Bahrani, Ronan Murphy, Shoshana H Bardach, Allison Caban-Holt, Peter T Nelson, Brian T Gold, Charles D Smith and 2 more

Open access · greenAbstract read
In one paragraph

Article in Journal of neuroimaging : official journal of the American Society of Neuroimaging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 30% 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

5 citing papers in PubMed, 16 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

12 authors at 1 institution in 1 country.

Omar M Al-JanabiSanders-Brown Center on Aging, Lexington, KY.ORCID 0000-0003-2208-4308
Pradeep PanugantiNeurology, University of Kentucky Colleges of Medicine, Public Health and Engineering, Lexington, KY.
Erin L AbnerSanders-Brown Center on Aging, Lexington, KY.
Ahmed A BahraniSanders-Brown Center on Aging, Lexington, KY.
Ronan MurphySanders-Brown Center on Aging, Lexington, KY.
Shoshana H BardachSanders-Brown Center on Aging, Lexington, KY.
Allison Caban-HoltSanders-Brown Center on Aging, Lexington, KY.
Peter T NelsonSanders-Brown Center on Aging, Lexington, KY.
Brian T GoldSanders-Brown Center on Aging, Lexington, KY.
Charles D SmithSanders-Brown Center on Aging, Lexington, KY.
Donna M WilcockSanders-Brown Center on Aging, Lexington, KY.
Gregory A JichaSanders-Brown Center on Aging, Lexington, KY.
University of Kentucky · US

Funding

University of Kentucky Alzheimer's Disease Core Center - Biomarker CoreP30AG028383 · NIA · UNIVERSITY OF KENTUCKY · PI SCHMITT, FREDERICK · 2006 to 2020
$23.3M
Small vessel disease biomarkers in a longitudinally-followed "stroke-belt" cohortUH3NS100606 · NINDS · UNIVERSITY OF KENTUCKY · PI JICHA, GREGORY A, WILCOCK, DONNA M · 2018 to 2020
$3.4M
Early Detection and Prevention of Mild Cognitive Impairment due to Cerebrovascular DiseaseR01NR014189 · NINR · UNIVERSITY OF KENTUCKY · PI JICHA, GREGORY A, MOSER, DEBRA KAY · 2012 to 2016
$2.0M
Modulation of microRNA pathways by gemfibrozil in predementia Alzheimer diseaseR01AG042419 · NIA · UNIVERSITY OF KENTUCKY · PI JICHA, GREGORY A, NELSON, PETER T. · 2013 to 2016
$1.6M
Small vessel disease biomarkers in a longitudinally-followed "stroke-belt" cohortUH2NS100606 · NINDS · UNIVERSITY OF KENTUCKY · PI JICHA, GREGORY A, WILCOCK, DONNA M · 2016 to 2017
$1.4M
NIA NIH HHS P30 AG028383NIA NIH HHS R01 AG042419NINDS NIH HHS UH2 NS100606NINDS NIH HHS UH3 NS100606NINR NIH HHS R01 NR014189
6 · The paper itself

Abstract

background and purposeInterpreting the clinical significance of moderate-to-severe global cerebral atrophy (GCA) is a conundrum for many clinicians, who visually interpret brain imaging studies in routine clinical practice. GCA may be attributed to normal aging, Alzheimer's disease (AD), or cerebrovascular disease (CVD). Understanding the relationships of GCA with aging, AD, and CVD is important for accurate diagnosis and treatment decisions for cognitive complaints.

methodsTo elucidate the relative associations of age, moderate-to-severe white matter hyperintensities (WMHs), and moderate-to-severe medial temporal lobe atrophy (MTA), with moderate-to-severe GCA, we visually rated clinical brain imaging studies of 325 participants from a community based sample. Logistic regression analysis was conducted to assess the relations of GCA with age, WMH, and MTA.

resultsThe mean age was 76.2 (±9.6) years, 40.6% were male, and the mean educational attainment was 15.1 (±3.7) years. Logistic regression results demonstrated that while a 1-year increase in age was associated with GCA (OR = 1.04; P = .04), MTA (OR = 3.7; P < .001), and WMH (OR = 8.80; P < .001) were strongly associated with GCA in our study population. Partial correlation analysis showed that the variance of GCA explained by age is less than the variance attributed to MTA and WMH (r = .13, .21, and .43, respectively).

conclusionsModerate-to-severe GCA is most likely to occur in the presence of AD or CVD and should not be solely attributed to age when evaluating clinical imaging findings in the workup of cognitive complaints. Developing optimal diagnostic and treatment strategies for cognitive decline in the setting of GCA requires an understanding of its risk factors in the aging population.

Indexed as

AgedAged, 80 and overAgingAtrophyFemaleHippocampusHumansMagnetic Resonance ImagingMaleNeuroimagingSeverity of Illness IndexWhite MatterAlzheimer's diseasecerebrovascular diseaseGlobal cerebral atrophy

Identifiers

PMID29314393
PMCPMC5932214
OpenAlexW2782768708

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.