Evidence map›Paper›PMID 41844663›Full record

ArticleScientific data2026

Database of Speech and Language Affected by Mild Cognitive Impairment.

Milan Rusko, Petra Brandoburová, Viktória Kevická, Marian Trnka, Róbert Sabo, Sakhia Darjaa, Richard Malschitz

Abstract readDataset
In one paragraph

Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Milan RuskoInstitute of Informatics of the Slovak Academy of Sciences, Bratislava, Slovakia.
Petra BrandoburováDepartment of Psychology, Faculty of Arts, Comenius University, Bratislava, Slovakia.
Viktória KevickáInstitute of Informatics of the Slovak Academy of Sciences, Bratislava, Slovakia. kevicka@fedu.uniba.sk.
Marian TrnkaInstitute of Informatics of the Slovak Academy of Sciences, Bratislava, Slovakia.
Róbert SaboInstitute of Informatics of the Slovak Academy of Sciences, Bratislava, Slovakia.
Sakhia DarjaaInstitute of Informatics of the Slovak Academy of Sciences, Bratislava, Slovakia.
Richard MalschitzAxon Pro, Bratislava, Slovakia.

Funding

Agentúra na Podporu Výskumu a Vývoja APVV-21-0373EU Recovery Program 09I05-03-V02-00055Vedecká Grantová Agentúra MŠVVaŠ SR a SAV 2/0092/25
6 · The paper itself

Abstract

Mild Cognitive Impairment (MCI) is increasingly recognized as an early indicator of neurodegenerative diseases, including Alzheimer's disease (AD). Speech and language deficits are known to emerge already in the MCI stage of various aetiologies. The ALOIS database (ALOIS-DB) was created to support research and development in this area by creating and providing a corpus of speech from Slovak-speaking individuals diagnosed with MCI and cognitively healthy controls. The dataset includes recordings from 258 participants (102 MCI, 156 controls), collected through a battery of nine speech and language tasks targeting various speech and language domains. All recordings were obtained using a custom-developed tablet application and were transcribed and annotated according to established protocols. The resulting dataset is accompanied by metadata and is publicly available for research purposes. ALOIS-DB represents a valuable resource for developing automated tools for the detection of early cognitive decline and contributes to the growing body of speech data relevant to neurocognitive disorders.

Indexed as

Cognitive DysfunctionDatabases, FactualLanguageSpeechHumans

Identifiers

PMID41844663
PMCPMC13144368

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.