Evidence map›Paper›PMID 40986037›Full record

ArticleJournal of neural transmission (Vienna, Austria : 1996)2026

Speech impairment in a large sample of patients with multiple system atrophy: effect of gender and language.

Tereza Tykalova, Jan Rusz, Jiri Klempir, Maria Teresa Pellecchia

Abstract read
In one paragraph

Article in Journal of neural transmission (Vienna, Austria : 1996), 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

4 authors.

Tereza TykalovaDepartment of Circuit Theory, Faculty of Electrical Engineering, Czech Technical University in Prague, Technicka 2, 160 00, Praha 6, Czech Republic. tykalova.tereza@gmail.com.ORCID http://orcid.org/0000-0003-1156-3709
Jan RuszDepartment of Circuit Theory, Faculty of Electrical Engineering, Czech Technical University in Prague, Technicka 2, 160 00, Praha 6, Czech Republic.
Jiri KlempirDepartment of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic.
Maria Teresa PellecchiaCenter for Neurodegenerative Diseases (CEMAND), Department of Medicine, Surgery and Dentistry Scuola Medica Salernitana, University of Salerno, Salerno, Italy.

Funding

Czech Technical University in Prague SGS23/170/OHK3/3T/13European Union - Next Generation EU LX22NPO5107Ministerstvo Zdravotnictví Ceské Republiky NW24-04-00211
6 · The paper itself

Abstract

Understanding the transferability of language and gender-based phenotypic expression of specific acoustic measures is essential for applying digital speech biomarkers in potential future clinical trials. This study aimed to identify possible gender- or language-related differences in speech between men and women with multiple system atrophy (MSA). A total of 42 male and 40 female MSA patients, along with 41 male and 41 female age-matched healthy controls, were recruited from two centres representing two distinct languages: Czech and Italian. A quantitative acoustic assessment was performed using 12 distinct speech dimensions. No significant clinical differences in MSA patients were found between men and women in terms of age, disease duration, motor severity, or dysarthria severity. MSA patients exhibited significantly worse performance compared to controls for voice quality, pitch breaks, frequency and amplitude vocal tremor, slow and irregular sequential motion rates, imprecise consonants, dynamics of articulation, monopitch, excessive loudness variation, articulation rate, and inappropriate silences (p < 0.001). Considering the gender-specific patterns, the female MSA patients manifested more impaired voice quality (p < 0.05) and more frequent vocal tremor (p < 0.05) then male MSA, while male MSA patients showed slower diadochokinetic rate (p < 0.01) and higher excessive loudness variability (p < 0.01) than female MSA. The impact of language on disease-related changes appears to be minimal for the majority of acoustic parameters considered. Despite some gender differences, our findings demonstrate that speech-based digital biomarkers in MSA offer high discriminatory power while maintaining good consistency across gender and language.

Indexed as

LanguageMultiple System AtrophySex CharacteristicsSpeech DisordersAgedFemaleHumansMaleMiddle AgedSpeech AcousticsAcoustic analyses.DysarthriaGenderMultiple system atrophySex

Identifiers

PMID40986037
PMCPMC12999606

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.