Evidence map›Paper›PMID 40722330›Full record

ArticleBrain sciences2025

Prediction of Parkinson Disease Using Long-Term, Short-Term Acoustic Features Based on Machine Learning.

Mehdi Rashidi, Serena Arima, Andrea Claudio Stetco, Chiara Coppola, Debora Musarò, Marco Greco, Marina Damato, Filomena My, Angela Lupo, Marta Lorenzo and 6 more

Abstract read
In one paragraph

Article in Brain sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

16 authors.

Mehdi RashidiDepartment of Mathematics and Physics "E. De Giorgi", University of Salento, Via Lecce-Arnesano, 73100 Lecce, Italy.ORCID 0000-0001-7452-2715
Serena ArimaDepartment of Human and Social Sciences, University of Salento, 73100 Lecce, Italy.
Andrea Claudio StetcoDepartment of Biological and Environmental Science and Technology, University of Salento, Via Lecce-Monteroni, 73100 Lecce, Italy.
Chiara CoppolaDepartment of Mathematics and Physics "E. De Giorgi", University of Salento, Via Lecce-Arnesano, 73100 Lecce, Italy.
Debora MusaròDepartment of Experimental Medicine, University of Salento, Via Lecce-Monteroni, 73100 Lecce, Italy.
Marco GrecoDepartment of Experimental Medicine, University of Salento, Via Lecce-Monteroni, 73100 Lecce, Italy.ORCID 0000-0002-9228-1158
Marina DamatoDepartment of Experimental Medicine, University of Salento, Via Lecce-Monteroni, 73100 Lecce, Italy.ORCID 0000-0003-0104-4323
Filomena MyDivision of Neurology, Vito Fazzi Hospital, 73100 Lecce, Italy.
Angela LupoDivision of Neurology, Vito Fazzi Hospital, 73100 Lecce, Italy.
Marta LorenzoDivision of Neurology, Vito Fazzi Hospital, 73100 Lecce, Italy.
Antonio DanieliDepartment of Experimental Medicine, University of Salento, Via Lecce-Monteroni, 73100 Lecce, Italy.
Giuseppe MaruccioDepartment of Mathematics and Physics "E. De Giorgi", University of Salento, Via Lecce-Arnesano, 73100 Lecce, Italy.ORCID 0000-0001-7669-0253
Alberto ArgentieroDepartment of Medicine and Surgery, University of Parma, 43121 Parma, Italy.
Andrea BuccolieroDepartment of Research and Development (R&D), GPI S.p.A., 38123 Trento, Italy.ORCID 0009-0001-1042-8911
Marcello Dorian DonzellaDepartment of Research and Development (R&D), GPI S.p.A., 38123 Trento, Italy.
Michele MaffiaDepartment of Experimental Medicine, University of Salento, Via Lecce-Monteroni, 73100 Lecce, Italy.ORCID 0000-0003-0665-4534

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

machine learningmel-frequency cepstral coefficientParkinson’s diseasevocal features

Identifiers

PMID40722330
PMCPMC12294038

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.