Evidence map›Paper›PMID 35214587›Full record

ArticleSensors (Basel, Switzerland)2022

Computer Aided Written Character Feature Extraction in Progressive Supranuclear Palsy and Parkinson's Disease.

Paula Stępień, Jacek Kawa, Emilia J Sitek, Dariusz Wieczorek, Rafał Sikorski, Magda Dąbrowska, Jarosław Sławek, Ewa Pietka

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. 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
0.1field-weighted citation impact, top 56% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

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

8 authors at 3 institutions in 1 country.

Paula StępieńFaculty of Biomedical Engineering, Silesian University of Technology, 41-800 Zabrze, Poland.ORCID 0000-0003-2354-1734
Jacek KawaFaculty of Biomedical Engineering, Silesian University of Technology, 41-800 Zabrze, Poland.ORCID 0000-0002-2804-7885
Emilia J SitekDivision of Neurological and Psychiatric Nursing, Faculty of Health Sciences, Medical University of Gdansk, 80-211 Gdansk, Poland.ORCID 0000-0003-4141-072X
Dariusz WieczorekDepartment of Rehabilitation, Faculty of Health Sciences, Medical University of Gdansk, 80-219 Gdansk, Poland.ORCID 0000-0003-4446-8927
Rafał SikorskiDepartment of Rehabilitation, Saint Vincent a Paulo Hospital, Pomeranian Hospitals Ltd., 81-519 Gdynia, Poland.ORCID 0000-0003-3004-4250
Magda DąbrowskaDepartment of Neurology, St. Adalbert Hospital, Copernicus PL Ltd., 80-462 Gdansk, Poland.
Jarosław SławekDivision of Neurological and Psychiatric Nursing, Faculty of Health Sciences, Medical University of Gdansk, 80-211 Gdansk, Poland.ORCID 0000-0001-6816-0877
Ewa PietkaFaculty of Biomedical Engineering, Silesian University of Technology, 41-800 Zabrze, Poland.ORCID 0000-0002-9676-8510
Copernicus Memorial Hospital · PLSilesian University of Technology · PLGdańsk Medical University · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Parkinson's disease (PD) and progressive supranuclear palsy (PSP) are neurodegenerative movement disorders associated with cognitive dysfunction. The Luria's Alternating Series Test (LAST) is a clinical tool sensitive to both graphomotor problems and perseverative tendencies that may suggest the dysfunction of prefrontal and/or frontostriatal areas and may be used in PD and PSP assessment. It requires the participant to draw a series of alternating triangles and rectangles. In the study, two clinical groups-51 patients with PD and 22 patients with PSP-were compared to 32 neurologically intact seniors. Participants underwent neuropsychological assessment. The LAST was administered in a paper and pencil version, then scanned and preprocessed. The series was automatically divided into characters, and the shapes were recognized as rectangles or triangles. In the feature extraction step, each rectangle and triangle was regarded both as an image and a two-dimensional signal, separately and as a part of the series. Standard and novel features were extracted and normalized using characters written by the examiner. Out of 71 proposed features, 51 differentiated the groups (

Indexed as

Cognitive DysfunctionParkinson DiseaseSupranuclear Palsy, ProgressiveComputersHumansNeuropsychological Testsbaseline estimationcharacter recognitioncomputer aided diagnosisneurodegenerative diseasespattern analysiswriting analysis

Identifiers

PMID35214587
PMCPMC8880639
OpenAlexW4213010409

What OpenQuestion holds

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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.