Evidence map›Paper›PMID 33796418›Full record

ArticleIEEE journal of translational engineering in health and medicine2021

Detecting Effect of Levodopa in Parkinson's Disease Patients Using Sustained Phonemes.

Nemuel D Pah, Mohammod A Motin, Peter Kempster, Dinesh K Kumar

Open access · goldAbstract read
In one paragraph

Article in IEEE journal of translational engineering in health and medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

8 citing papers in PubMed, 34 citations in OpenAlex.

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  7. Voice Features of Sustained Phoneme as COVID-19 Biomarker.IEEE journal of translational engineering in health and medicine · 2022
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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 at 3 institutions in 4 countries.

Nemuel D PahElectrical Engineering DepartmentUniversitas SurabayaSurabaya60293Indonesia.
Mohammod A MotinSchool of EngineeringRMIT UniversityMelbourneVIC3000Australia.
Peter KempsterMonash HealthClaytonVIC3168Australia.
Dinesh K KumarSchool of EngineeringRMIT UniversityMelbourneVIC3000Australia.
MIT University · MKMonash Health · AUUniversity of Surabaya · ID

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundParkinson's disease (PD) is a multi-symptom neurodegenerative disease generally managed with medications, of which levodopa is the most effective. Determining the dosage of levodopa requires regular meetings where motor function can be observed. Speech impairment is an early symptom in PD and has been proposed for early detection and monitoring of the disease. However, findings from previous research on the effect of levodopa on speech have not shown a consistent picture.

methodThis study has investigated the effect of medication on PD patients for three sustained phonemes; /a/, /o/, and /m/, which were recorded from 24 PD patients during medication

resultsThe results show that medication has a significant effect on the change of time and amplitude perturbation (jitter and shimmer) and harmonics of /m/, which was the most sensitive individual phoneme to the levodopa response. /m/ and /o/ performed at a comparable level in discriminating PD-

conclusionStudies of phonation by computerized voice analysis in PD should employ recordings of multiple phonemes. Our findings are potentially relevant in research to identify early parkinsonian dysarthria, and to tele-monitoring of the levodopa response in patients with established PD.

Indexed as

Neurodegenerative DiseasesParkinson DiseaseVoiceHumansLevodopaSpeechLevodopadrug responseDysarthriaParkinson’s diseasesustained phonemesvoice analysis

Identifiers

PMID33796418
PMCPMC8007086
OpenAlexW3139316422

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.