Evidence map›Paper›PMID 30405860›Full record

SynthesisDisease markers2018

Systematic Review on Resting-State EEG for Alzheimer's Disease Diagnosis and Progression Assessment.

Raymundo Cassani, Mar Estarellas, Rodrigo San-Martin, Francisco J Fraga, Tiago H Falk

Abstract readSystematic Review
In one paragraph

Synthesis in Disease markers, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 152 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
152citing papers in PubMed, 9 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

152 citing papers in PubMed, 9 syntheses or guidelines pooled it.

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  6. The effects of different acetylcholinesterase inhibitors on EEG patterns in patients with Alzheimer's disease: A systematic review.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024
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92 more citing papers are in PubMed but not listed here.

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

5 authors.

Raymundo CassaniInstitut national de la recherche scientifique (INRS-EMT), University of Québec, Montreal, Canada.ORCID 0000-0002-3509-5543
Mar EstarellasInstitut national de la recherche scientifique (INRS-EMT), University of Québec, Montreal, Canada.ORCID 0000-0001-9566-3066
Rodrigo San-MartinCenter for Mathematics, Computation and Cognition, Universidade Federal do ABC, São Bernardo do Campo, Brazil.ORCID 0000-0002-4052-8024
Francisco J FragaEngineering, Modeling and Applied Social Sciences Center, Universidade Federal do ABC, São Bernardo do Campo, Brazil.ORCID 0000-0002-4895-807X
Tiago H FalkInstitut national de la recherche scientifique (INRS-EMT), University of Québec, Montreal, Canada.ORCID 0000-0002-5739-2514

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alzheimer's disease (AD) is a neurodegenerative disorder that accounts for nearly 70% of the more than 46 million dementia cases estimated worldwide. Although there is no cure for AD, early diagnosis and an accurate characterization of the disease progression can improve the quality of life of AD patients and their caregivers. Currently, AD diagnosis is carried out using standardized mental status examinations, which are commonly assisted by expensive neuroimaging scans and invasive laboratory tests, thus rendering the diagnosis time consuming and costly. Notwithstanding, over the last decade, electroencephalography (EEG) has emerged as a noninvasive alternative technique for the study of AD, competing with more expensive neuroimaging tools, such as MRI and PET. This paper reports on the results of a systematic review on the utilization of resting-state EEG signals for AD diagnosis and progression assessment. Recent journal articles obtained from four major bibliographic databases were analyzed. A total of 112 journal articles published from January 2010 to February 2018 were meticulously reviewed, and relevant aspects of these papers were compared across articles to provide a general overview of the research on this noninvasive AD diagnosis technique. Finally, recommendations for future studies with resting-state EEG were presented to improve and facilitate the knowledge transfer among research groups.

Indexed as

Alzheimer DiseaseBrainElectroencephalographyHumans

Identifiers

PMID30405860
PMCPMC6200063

What OpenQuestion holds

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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.