Evidence map›Paper›PMID 35565162›Full record

ArticleInternational journal of environmental research and public health2022

BRAINCODE for Cognitive Impairment Diagnosis in Older Adults: Designing a Case-Control Pilot Study.

Pedro Rocha, Paulina Clara Dagnino, Ronan O'Sullivan, Aureli Soria-Frisch, Constança Paúl

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Pedro RochaDepartamento de Ciências do Comportamento, ICBAS-Instituto de Ciências Biomédicas Abel Salazar, Universidade do Porto, Rua Jorge de Viterbo Ferreira, 228, 4050-313 Porto, Portugal.
Paulina Clara DagninoStarlab Barcelona SL, Neuroscience Business Unit, Avda. Tibidabo 47 bis, 08035 Barcelona, Spain.ORCID 0000-0001-8798-0221
Ronan O'SullivanCentre for Gerontology and Rehabilitation, School of Medicine, University College Cork, College Road, T12 K8AF Cork, Ireland.
Aureli Soria-FrischStarlab Barcelona SL, Neuroscience Business Unit, Avda. Tibidabo 47 bis, 08035 Barcelona, Spain.ORCID 0000-0002-4704-927X
Constança PaúlDepartamento de Ciências do Comportamento, ICBAS-Instituto de Ciências Biomédicas Abel Salazar, Universidade do Porto, Rua Jorge de Viterbo Ferreira, 228, 4050-313 Porto, Portugal.ORCID 0000-0002-9214-7805

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An early, extensive, accurate, and cost-effective clinical diagnosis of neurocognitive disorders will have advantages for older people and their families, but also for the health and care systems sustainability and performance. BRAINCODE is a technology that assesses cognitive impairment in older people, differentiating normal from pathologic brain condition, based in an EEG biomarkers evaluation. This paper will address BRAINCODE's pilot design, which intends to validate its efficacy, to provide guidelines for future studies and to allow its integration on the SHAPES platform. It is expected that BRAINCODE confirms a regular clinical diagnosis and neuropsychologic tests to discriminate 'normal' from pathologic cognitive decline and differentiates mild cognitive impairment from dementia in older adults with/without subjective cognitive complains.

Indexed as

Cognitive DysfunctionAgedCase-Control StudiesHumansNeuropsychological TestsPilot ProjectsTechnologydementiadigital healthEEG diagnosishealthy ageingmedical devicesmild cognitive impairmentneurocognitive disorders

Identifiers

PMID35565162
PMCPMC9105735

What OpenQuestion holds

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Registered trials

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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.