Evidence map›Paper›PMID 32811522›Full record

ArticleBiomedical engineering online2020

A new postural stability-indicator to predict the level of fear of falling in Parkinson's disease patients.

Ehsan Pourghayoomi, Saeed Behzadipour, Mehdi Ramezani, Mohammad Taghi Joghataei, Gholam Ali Shahidi

Open access · goldAbstract read
In one paragraph

Article in Biomedical engineering online, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.5field-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

5 citing papers in PubMed, 11 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Ehsan PourghayoomiDepartment of Neuroscience, Faculty of Advanced Technologies in Medicine, Iran University of Medical Sciences, Tehran, Iran.
Saeed BehzadipourMechanical Engineering Department, and Cross Appointed with Djawad Movafaghian Research Center in Neuro-rehabilitation Technologies, Sharif University of Technology, Tehran, Iran.
Mehdi RamezaniDepartment of Neuroscience, Faculty of Advanced Technologies in Medicine, Iran University of Medical Sciences, Tehran, Iran.
Mohammad Taghi JoghataeiDepartment of Neuroscience, Faculty of Advanced Technologies in Medicine, Iran University of Medical Sciences, Tehran, Iran.
Gholam Ali ShahidiMovement Disorders Clinic, Hazrat Rasool Hospital, Iran University of Medical Sciences, Tehran, Iran. Gholamali.shahidi@gmail.com.
Iran University of Medical Sciences · IRSharif University of Technology · IR

Funding

Iran University of Medical Sciences 95-02-87-28529
6 · The paper itself

Abstract

backgroundFear of falling (FoF) is defined as a lasting concern about falling that causes a person to limit or even stop the daily activities that he/she is capable of. Seventy percent of Parkinson's disease (PD) patients report activity limitations due to FoF. Timely identification of FoF is critical to prevent its additional adverse effects on the quality of life. Self-report questionnaires are commonly used to evaluate the FoF, which may be prone to human error.

objectivesIn this study, we attempted to identify a new postural stability-indicator to objectively predict the intensity of FoF and its related behavior(s) in PD patients.

methodsThirty-eight PD patients participated in the study (mean age, 61.2 years), among whom 10 (26.32%) were identified with low FoF and the rest (73.68%) with high FoF, based on Falls Efficacy Scale-International (FES-I). We used a limit of stability task calibrated to each individual and investigated the postural strategies to predict the intensity of FoF. New parameters (FTR

resultsFTR

conclusionsUsing the proposed assessment technique, we can accurately predict the intensity of FoF in PD patients. Also, the FTR

Indexed as

Accidental FallsFearPostural BalanceFemaleHumansMaleMiddle AgedParkinson DiseaseDiagnosisFear of fallingForce platformParkinson’s diseasePostural control

Identifiers

PMID32811522
PMCPMC7436981
OpenAlexW3056238897

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.