Evidence map›Paper›PMID 36244197›Full record

ArticleNeuroImage. Clinical2022

Neuroimaging and clinical characteristics of cognitive migration in community-dwelling older adults.

Tugce Duran, James R Bateman, Benjamin J Williams, Mark A Espeland, Timothy M Hughes, Stephanie Okonmah-Obazee, Melissa M Rundle, Suzanne Craft, Samuel N Lockhart

Open access · goldAbstract read
In one paragraph

Article in NeuroImage. Clinical, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
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, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. 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

9 authors at 1 institution in 1 country.

Tugce DuranDepartment of Internal Medicine, Section of Gerontology & Geriatric Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA. Electronic address: tduran@wakehealth.edu.
James R BatemanDepartment of Neurology, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
Benjamin J WilliamsDepartment of Neurology, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
Mark A EspelandDepartment of Internal Medicine, Section of Gerontology & Geriatric Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA; Department of Biostatistics and Data Sciences, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
Timothy M HughesDepartment of Internal Medicine, Section of Gerontology & Geriatric Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
Stephanie Okonmah-ObazeeDepartment of Internal Medicine, Section of Gerontology & Geriatric Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
Melissa M RundleDepartment of Internal Medicine, Section of Gerontology & Geriatric Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
Suzanne CraftDepartment of Internal Medicine, Section of Gerontology & Geriatric Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
Samuel N LockhartDepartment of Internal Medicine, Section of Gerontology & Geriatric Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
Wake Forest University · US

Funding

Wake Forest University School of Medicine Alzheimer's Disease Research CenterP30AG072947 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI SUZANNE CRAFT · 2021 to 2026
$24.3M
NIA NIH HHS P30 AG072947
6 · The paper itself

Abstract

backgroundMultiple neuroimaging and clinical biomarkers have been identified to predict cognitive decline and clinical progression to mild cognitive impairment (MCI) or dementia. However, early biomarkers associated with transition to and reversion from cognitive impairment (cognitive migration) require further understanding. We investigated the impacts of baseline neuroimaging and clinical biomarkers on cognitive migration in a community-dwelling older cohort.

methodsWe studied 391 participants from the Wake Forest Alzheimer's Disease Research Center Clinical Core cohort who underwent neuropsychological assessment and magnetic resonance imaging (MRI). At baseline, each participant was categorized to a functional/cognitive state using global Clinical Dementia Rating (CDR) score: CDR = 0 indicates normal cognitive function; CDR = 0.5 is minimal cognitive impairment. The primary outcome was cognitive migration status determined by CDR change between baseline and follow-up (mean difference = 13.9 months): CDR-0 Stables (no migration; maintained CDR = 0), CDR-0.5 Stables (no migration; maintained CDR = 0.5), Migrants

resultsVBM analyses revealed lower GM volume in inferior and middle temporal gyri, hippocampus, parahippocampal gyrus, and superior and inferior frontal regions in Migrants

conclusionsLower GM volumes and high OGTT-2h glucose levels may predict worse cognitive migration status in early stages of disease. The opposite is true for better cognitive migration. Validating these biomarkers may guide clinical diagnosis and treatments.

Indexed as

Alzheimer DiseaseCognitive DysfunctionAgedBiomarkersCognitionDisease ProgressionHumansIndependent LivingMagnetic Resonance ImagingNeuroimagingNeuropsychological TestsBiomarkersBiomarkersCognitionDementiaMRIOGTT

Identifiers

PMID36244197
PMCPMC9668626
OpenAlexW4304690660

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.