Evidence map›Paper›PMID 29027941›Full record

ArticleSensors (Basel, Switzerland)2017

Verification of a Method for Measuring Parkinson's Disease Related Temporal Irregularity in Spiral Drawings.

Somayeh Aghanavesi, Mevludin Memedi, Mark Dougherty, Dag Nyholm, Jerker Westin

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

6 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. NeuroDiag: Software for Automated Diagnosis of Parkinson's Disease Using Handwriting.IEEE journal of translational engineering in health and medicine · 2024
    Article
  4. Article
  5. Article
  6. 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

5 authors at 3 institutions in 1 country.

Somayeh AghanavesiSchool of Technology and Business Studies, Computer Engineering, Dalarna University, 791 88 Falun, Sweden. saa@du.se.ORCID 0000-0002-1548-5077
Mevludin MemediInformatics, Business School, Örebro University, 702 81 Örebro, Sweden. mdo@du.se.
Mark DoughertySchool of Technology and Business Studies, Computer Engineering, Dalarna University, 791 88 Falun, Sweden. jwe@du.se.
Dag NyholmDepartment of Neuroscience, Neurology, Uppsala University, 751 85 Uppsala, Sweden. Mevludin.Memedi@oru.se.
Jerker WestinSchool of Technology and Business Studies, Computer Engineering, Dalarna University, 791 88 Falun, Sweden. dag.nyholm@neuro.uu.se.
Dalarna University · SEÖrebro University · SEUppsala University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Parkinson's disease (PD) is a progressive movement disorder caused by the death of dopamine-producing cells in the midbrain. There is a need for frequent symptom assessment, since the treatment needs to be individualized as the disease progresses. The aim of this paper was to verify and further investigate the clinimetric properties of an entropy-based method for measuring PD-related upper limb temporal irregularities during spiral drawing tasks. More specifically, properties of a temporal irregularity score (TIS) for patients at different stages of PD, and medication time points were investigated. Nineteen PD patients and 22 healthy controls performed repeated spiral drawing tasks on a smartphone. Patients performed the tests before a single levodopa dose and at specific time intervals after the dose was given. Three movement disorder specialists rated videos of the patients based on the unified PD rating scale (UPDRS) and the Dyskinesia scale. Differences in mean TIS between the groups of patients and healthy subjects were assessed. Test-retest reliability of the TIS was measured. The ability of TIS to detect changes from baseline (before medication) to later time points was investigated. Correlations between TIS and clinical rating scores were assessed. The mean TIS was significantly different between healthy subjects and patients in advanced groups (

Indexed as

MovementHumansLevodopaParkinson DiseaseReproducibility of ResultsSmartphoneTemporal LobeLevodopaapproximate entropycomplexitymotor assessmentParkinson’s diseasesmartphonespiral teststemporal irregularitytiming variability

Identifiers

PMID29027941
PMCPMC5677449
OpenAlexW2762358061

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.