Evidence map›Paper›PMID 31860947›Full record

ArticleMedicine2019

Quantitative assessment of Parkinsonian tremor by using biosensor device.

Silvia Marino, Emanuele Cartella, Nicola Donato, Nunzio Muscarà, Chiara Sorbera, Vincenzo Cimino, Simona De Salvo, Katia Micchìa, Giuseppe Silvestri, Alessia Bramanti and 1 more

Open access · goldAbstract read
In one paragraph

Article in Medicine, 2019. 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
0.6field-weighted citation impact, top 29% 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, 10 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Wearable Devices for Assessment of Tremor.Frontiers in neurology · 2021
    Review
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

11 authors at 3 institutions in 2 countries.

Silvia MarinoIRCCS Centro Neurolesi "Bonino Pulejo".
Emanuele CartellaIRCCS Centro Neurolesi "Bonino Pulejo".
Nicola DonatoLaboratory of Electronics for Sensors and for Systems of Transduction, Department of Engineering, University of Messina.
Nunzio MuscaràIRCCS Centro Neurolesi "Bonino Pulejo".
Chiara SorberaIRCCS Centro Neurolesi "Bonino Pulejo".
Vincenzo CiminoIRCCS Centro Neurolesi "Bonino Pulejo".
Simona De SalvoIRCCS Centro Neurolesi "Bonino Pulejo".
Katia MicchìaIRCCS Centro Neurolesi "Bonino Pulejo".
Giuseppe SilvestriIRCCS Centro Neurolesi "Bonino Pulejo".
Alessia BramantiInstitute of Applied Sciences and Intelligent Systems "Edoardo Caianello" (ISASI), National Research Council of Italy, Messina, Italy.
Giuseppe Di LorenzoIRCCS Centro Neurolesi "Bonino Pulejo".
Centro Neurolesi Bonino Pulejo · ITNational Research Council · ITUniversity of Messina · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Parkinson disease (PD) is the second most common neurodegenerative disease which affects population older than 65 years. Tremor represents one of the main symptomatic triads in PD, particularly in rest state.We enrolled 41 idiopathic PD patients, to validate the assessment of tremor symptoms.To be enrolled in the study, patients had to fulfill the movement disorder society clinical diagnostic criteria for PD.We used an innovative home-made, low-cost device, able to quantify the frequency and amplitude of rest tremor and stress conditionOur results confirmed the presence of tremor during muscular effort in a significant number of patients and the influence of emotional stress.We suppose that this new device should be validated in clinical practice as a support of differential diagnosis and therapeutic management of PD patients.

Indexed as

AgedAged, 80 and overBiosensing TechniquesCohort StudiesConfidence IntervalsEquipment DesignEvaluation Studies as TopicFemaleHumansMaleMiddle AgedNeurodegenerative DiseasesParkinson DiseaseRetrospective StudiesSensitivity and SpecificitySeverity of Illness Index

Identifiers

PMID31860947
PMCPMC6940115
OpenAlexW2995277173

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.