Evidence map›Paper›PMID 40020758›Full record

ArticleArquivos de neuro-psiquiatria2025

Diagnosing preclinical and clinical Alzheimer's disease with visual atrophy scales in the clinical practice.

Karen Luiza Ramos Socher, Douglas Mendes Nunes, Deborah Cristina P Lopes, Artur Martins Novaes Coutinho, Daniele de Paula Faria, Paula Squarzoni, Geraldo Busatto Filho, Carlos Alberto Buchpiguel, Ricardo Nitrini, Sonia Maria Dozzi Brucki

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In one paragraph

Article in Arquivos de neuro-psiquiatria, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Review
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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

10 authors.

Karen Luiza Ramos SocherUniversidade de São Paulo, Faculdade de Medicina, Departamento de Neurologia, Grupo de Neurologia Cognitiva e do Comportamento, São Paulo SP, Brazil.ORCID 0000-0001-9585-4989
Douglas Mendes NunesUniversidade de São Paulo, Faculdade de Medicina, Instituto de Radiologia, Unidade de Neurorradiologia, São Paulo SP, Brazil.ORCID 0000-0002-2908-9569
Deborah Cristina P LopesUniversidade de São Paulo, Faculdade de Medicina, Departamento de Neurologia, Grupo de Neurologia Cognitiva e do Comportamento, São Paulo SP, Brazil.ORCID 0000-0002-0883-2202
Artur Martins Novaes CoutinhoUniversidade de São Paulo, Faculdade de Medicina, Hospital das Clínicas, Departamento de Radiologia e Oncologia, Laboratório de Medicina Nuclear (LIM/43), São Paulo SP, Brazil.ORCID 0000-0002-5555-4583
Daniele de Paula FariaUniversidade de São Paulo, Faculdade de Medicina, Hospital das Clínicas, Departamento de Radiologia e Oncologia, Laboratório de Medicina Nuclear (LIM/43), São Paulo SP, Brazil.ORCID 0000-0002-1766-2786
Paula SquarzoniUniversidade de São Paulo, Faculdade de Medicina, Departamento de Psiquiatria, São Paulo SP, Brazil.ORCID 0000-0002-5483-759X
Geraldo Busatto FilhoUniversidade de São Paulo, Faculdade de Medicina, Departamento de Psiquiatria, São Paulo SP, Brazil.ORCID 0000-0003-4749-4602
Carlos Alberto BuchpiguelUniversidade de São Paulo, Faculdade de Medicina, Hospital das Clínicas, Departamento de Radiologia e Oncologia, Laboratório de Medicina Nuclear (LIM/43), São Paulo SP, Brazil.ORCID 0000-0003-0956-2790
Ricardo NitriniUniversidade de São Paulo, Faculdade de Medicina, Departamento de Neurologia, Grupo de Neurologia Cognitiva e do Comportamento, São Paulo SP, Brazil.ORCID 0000-0002-5721-1525
Sonia Maria Dozzi BruckiUniversidade de São Paulo, Faculdade de Medicina, Departamento de Neurologia, Grupo de Neurologia Cognitiva e do Comportamento, São Paulo SP, Brazil.ORCID 0000-0002-8303-6732

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVisual atrophy scales from the medial temporal region are auxiliary biomarkers of neurodegeneration in Alzheimer's disease (AD). Therefore, they may correlate with progression from cognitively unimpaired (CU) status to mild cognitive impairment (MCI) and AD, and they become a valuable tool for diagnostic accuracy.

objectiveTo compare the medial temporal lobe atrophy (MTA) and entorhinal cortex atrophy (ERICA) scores measured through magnetic resonance image (MRI) scans as a useful method for probable AD diagnosis regarding clinical diagnosis and amyloid positron-emission tomography (PET).

methodsTwo neurologists blinded to the diagnoses classified 113 older adults (age > 65 years) through the MTA and ERICA scores. We investigated the correlations involving these scores and sociodemographic data, amyloid brain cortical burden measured through PET imaging with (11)C-labeled Pittsburgh Compound-B (11C-PIB PET), and clinical cognitive status, in individuals diagnosed as CU (CU;

resultsThe inter-rater reliability of the atrophy scales was excellent (0.8-1) according to the Cohen analysis. The CU group presented lower MTA scores (median value: 0) than ERICA (median value: 1) scores in both hemispheres. The 11C-PIB-PET was positive in 45% of the sample. In the MCI and AD groups, the ERICA score presented greater sensitivity, and the MTA score presented greater specificity. The accuracy of the clinical diagnosis was sufficient and no more than 70% for both scores in AD.

conclusionIn the present study, we found moderate sensitivity for the ERICA score, which could be a better screening tool than the MTA score for the diagnosis of AD or MCI. However, none of the scores were useful imaging biomarkers in preclinical AD.

Indexed as

Alzheimer DiseaseCognitive DysfunctionEntorhinal CortexTemporal LobeAgedAged, 80 and overAtrophyBiomarkersDisease ProgressionFemaleHumansMagnetic Resonance ImagingMaleNeuropsychological TestsPositron-Emission TomographyReproducibility of ResultsBiomarkers

Identifiers

PMID40020758
PMCPMC11870754

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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.