Evidence map›Paper›PMID 39325192›Full record

ArticleNeuroradiology2024

Fazekas scale magnetic resonance imaging assessment in Alzheimer's disease and primary age-related tauopathy.

Miguel Quintas-Neves, Francisco C Almeida, Kathryn Gauthreaux, Merilee A Teylan, Charles N Mock, Walter A Kukull, John F Crary, Tiago Gil Oliveira

Abstract read
In one paragraph

Article in Neuroradiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Practical Brain MRI Guidelines for Anti-Aβ Antibody Treatment in Early Symptomatic Alzheimer's Disease.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2025
    Guideline
  2. Guideline
  3. Article
  4. Article
  5. Primary age-related tauopathy.Acta neuropathologica · 2025
    Review
  6. Article
  7. Review
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.

Miguel Quintas-NevesSchool of Medicine, Life and Health Sciences Research Institute (ICVS), University of Minho, Braga, Portugal.
Francisco C AlmeidaSchool of Medicine, Life and Health Sciences Research Institute (ICVS), University of Minho, Braga, Portugal.
Kathryn GauthreauxDepartment of Epidemiology, National Alzheimer's Coordinating Center, University of Washington, Seattle, WA, U.S.A.
Merilee A TeylanDepartment of Epidemiology, National Alzheimer's Coordinating Center, University of Washington, Seattle, WA, U.S.A.
Charles N MockDepartment of Epidemiology, National Alzheimer's Coordinating Center, University of Washington, Seattle, WA, U.S.A.
Walter A KukullDepartment of Epidemiology, National Alzheimer's Coordinating Center, University of Washington, Seattle, WA, U.S.A.
John F CraryNeuropathology Brain Bank & Research Core, Department of Pathology, Nash Family Department of Neuroscience, Department of Artificial Intelligence, & Human Health, Friedman Brain Institute, Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, U.S.A.
Tiago Gil OliveiraSchool of Medicine, Life and Health Sciences Research Institute (ICVS), University of Minho, Braga, Portugal. tiago@med.uminho.pt.ORCID http://orcid.org/0000-0003-0509-0562

Funding

Research Education ComponentP30AG066514 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Carolyn Wei Zhu · 2020 to 2026
$31.0M
Fundação Amélia de Mello FAM/2022Fundação para a Ciência e a Tecnologia UIDB/50026/2020Fundação para a Ciência e a Tecnologia UIDP/50026/2020NIA NIH HHS P30 AG066514
6 · The paper itself

Abstract

backgroundBrain vascular pathology is an important comorbidity in Alzheimer's disease (AD), with white matter damage independently predicting cognitive impairment. However, it is still unknown how vascular pathology differentially impacts primary age-related tauopathy (PART) compared to AD. Therefore, our objectives were to compare the brain microangiopathic burden in patients with PART and AD, evaluated by MRI, while assessing its relation with neuropathological findings, patterns of brain atrophy and degree of clinical impairment.

methodsClinical information, brain MRI (T1 and T2-FLAIR) and neuropathological data were obtained from the National Alzheimer's Coordinating Centre ongoing study, with a total sample of 167 patients identified, that were divided according to the presence of neuritic plaques in Consortium to Establish a Registry for Alzheimer's disease (CERAD) 0 to 3. Microangiopathic burden and brain atrophy were evaluated by two certified neuroradiologists, using, respectively, the Fazekas score and previously validated visual rating scales to assess brain regional atrophy.

resultsSignificant correlations were found between the Fazekas score and atrophy in the fronto-insular and medial temporal regions on both groups, with PART showing overall stronger positive correlations than in AD, especially in the fronto-insular region. For this specific cohort, no significant correlations were found between the Fazekas score and the degree of clinical impairment.

conclusionOur results show that PART presents different pathological consequences at the brain microvascular level compared with AD and further supports PART as an independent pathological entity from AD.

Indexed as

Alzheimer DiseaseMagnetic Resonance ImagingTauopathiesAgedAged, 80 and overAtrophyFemaleHumansMaleAD = Alzheimer’s diseaseCERAD = Consortium to Establish a Registry for Alzheimer’s diseasePART = Primary age-related tauopathy

Identifiers

PMID39325192
PMCPMC11611984

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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.