Evidence map›Paper›PMID 37221628›Full record

ArticleBMC psychology2023

A pilot screening for cognitive impairment through voice technology (WAY2AGE).

Carmen Moret-Tatay, Isabel Iborra-Marmolejo, María José Jorques-Infante, Gloria Bernabé-Valero, María José Beneyto-Arrojo, Tatiana Quarti Irigaray

Erratum issuedOpen access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC psychology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 47% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 2 countries.

Carmen Moret-TatayFaculty of Psychology, Valencia Catholic University Saint Vincent Martyr (UCV), Burjassot, Valencia, Spain. mariacarmen.moret@ucv.es.
Isabel Iborra-MarmolejoFaculty of Psychology, Valencia Catholic University Saint Vincent Martyr (UCV), Burjassot, Valencia, Spain.
María José Jorques-InfanteFaculty of Psychology, Valencia Catholic University Saint Vincent Martyr (UCV), Burjassot, Valencia, Spain.
Gloria Bernabé-ValeroFaculty of Psychology, Valencia Catholic University Saint Vincent Martyr (UCV), Burjassot, Valencia, Spain.
María José Beneyto-ArrojoFaculty of Psychology, Valencia Catholic University Saint Vincent Martyr (UCV), Burjassot, Valencia, Spain.
Tatiana Quarti IrigarayDepartment of Psychology, Pontifical Catholic University of Rio Grande do Sul (PUCRS), Rio Grande do Sul, Brazil.
Valencia Catholic University Saint Vincent Martyr · ESPontifícia Universidade Católica do Rio Grande do Sul · BR

Funding

Conselleria de Innovación, Universidades, Ciencia y Sociedad Digital, Generalitat Valenciana CIGE/2021/051
6 · The paper itself

Abstract

Voice technology has grown exponentially, offering an opportunity to different fields, such as the health area. Considering that language can be a sign of cognitive impairment and most screening tools are based on speech measures, these devices are of interest. The aim of this work was to examine a screening tool for Mild Cognitive Impairment (MCI) through voice technology. For this reason, the WAY2AGE voice Bot was tested across Mini-Mental (MMSE) scores. The main results depict a strong relationship between MMSE and WAY2AGE scores, as well as a good AUC value to discriminate between no cognitive impairment (NCI) and MCI groups. However, a relationship between age and WAY2AGE scores, but not between age and MMSE scores, was found. This would indicate that, even if WAY2AGE seems sensitive to detect MCI, the voice tool is age-sensitive and not as robust as the traditional MMSE scale. Future lines of research should look more deeply into parameters that distinguish developmental changes. As a screening tool, these results are of interest for the health area and for at-risk older adults.

Indexed as

Cognitive DysfunctionSpeechAgedHumansLanguageTechnologyCognitive impairmentElderlyTechnology adoptionVoice-botWell-being

Identifiers

PMID37221628
PMCPMC10204663
OpenAlexW4377940981

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.