Evidence map›Paper›PMID 33531608›Full record

Observational studyScientific reports2021

A synthetic kinematic index of trunk displacement conveying the overall motor condition in Parkinson's disease.

Emahnuel Troisi Lopez, Roberta Minino, Pierpaolo Sorrentino, Rosaria Rucco, Anna Carotenuto, Valeria Agosti, Domenico Tafuri, Valentino Manzo, Marianna Liparoti, Giuseppe Sorrentino

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
5.7field-weighted citation impact, top 4% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. VIGMA: An Open-Access Framework for Visual Gait and Motion Analytics.IEEE transactions on visualization and computer graphics · 2025
    Article
  3. Article
  4. Article
  5. Article
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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

10 authors at 5 institutions in 2 countries.

Emahnuel Troisi Lopez *Department of Motor Sciences and Wellness, University of Naples "Parthenope", Naples, Italy.
Roberta Minino *Department of Motor Sciences and Wellness, University of Naples "Parthenope", Naples, Italy.
Pierpaolo SorrentinoInstitut de Neurosciences Des Systemès, Aix-Marseille University, Marseille, France.
Rosaria RuccoDepartment of Motor Sciences and Wellness, University of Naples "Parthenope", Naples, Italy.
Anna CarotenutoAlzheimer Unit and Movement Disorders Clinic, Department of Neurology, Cardarelli Hospital, Naples, Italy.
Valeria AgostiDepartment of Human and Social Sciences, University of Bergamo, Bergamo, Italy.
Domenico TafuriDepartment of Motor Sciences and Wellness, University of Naples "Parthenope", Naples, Italy.
Valentino ManzoAlzheimer Unit and Movement Disorders Clinic, Department of Neurology, Cardarelli Hospital, Naples, Italy.
Marianna LiparotiDepartment of Motor Sciences and Wellness, University of Naples "Parthenope", Naples, Italy. marianna.liparoti@gmail.com.
Giuseppe SorrentinoDepartment of Motor Sciences and Wellness, University of Naples "Parthenope", Naples, Italy.
Parthenope University of Naples · ITFatebenefratelli Hospital · ITAstronomical Observatory of Capodimonte · ITInstitute of Applied Science and Intelligent Systems · ITUniversity of Bergamo · IT

Funding

University of Naples Parthenope D.R. 289/2017
6 · The paper itself

Abstract

Parkinson's disease (PD) is characterized by motor impairment, affecting quality of life and increasing fall risk, due to ineffective postural control. To this day, the diagnosis remains based on clinical approach. Similarly, motor evaluation is based on heterogeneous, operator-dependent observational criteria. A synthetic, replicable index to quantify motor impairment is still lacking. Hence, we have designed a new measure of postural stability which assesses the trunk displacement in relation to the center of mass, that we named trunk displacement index (TDI). Twenty-three PD patients and twenty-three healthy controls underwent motor examination through a stereophotogrammetric system. A correlation analysis was performed to assess the relationship of TDI with gait parameters and clinical motor scale (UPDRS-III). The TDI sensitivity was estimated, comparing pre- and post- L-DOPA subclinical dose intake. The TDI showed significant correlations with many gait parameters and with the UPDRS-III. Furthermore, the TDI resulted capable in discriminating between off and on state in PD, whereas gait parameters failed two show any difference between those two conditions. Our results suggest that the TDI may be considered a highly sensitive biomechanical index, reflecting the overall motor condition in PD, and provided of clinical relevance due to the correlation with the clinical evaluation.

Indexed as

Administration, OralAgedAntiparkinson AgentsCase-Control StudiesDose-Response Relationship, DrugFemaleHealthy VolunteersHumansLevodopaMaleMiddle AgedParkinson DiseasePostural BalanceSeverity of Illness IndexSpatio-Temporal AnalysisTorsoAntiparkinson AgentsLevodopa

Identifiers

PMID33531608
PMCPMC7854606
OpenAlexW3126206172

What OpenQuestion holds

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LicenceCC BY
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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.