Evidence map›Paper›PMID 34300534›Full record

ArticleSensors (Basel, Switzerland)2021

Validity Analysis of WalkerView

Marco Bravi, Carlo Massaroni, Fabio Santacaterina, Joshua Di Tocco, Emiliano Schena, Silvia Sterzi, Federica Bressi, Sandra Miccinilli

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

10 citing papers in PubMed.

  1. 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

8 authors.

Marco BraviUnit of Physical Medicine and Rehabilitation, Università Campus Bio-Medico di Roma, via Alvaro Del Portillo 5, 00128 Rome, Italy.ORCID 0000-0002-3396-4100
Carlo MassaroniUnit of Measurements and Biomedical Instrumentation, Università Campus Bio-Medico di Roma, via Alvaro Del Portillo 21, 00128 Rome, Italy.ORCID 0000-0002-3090-5623
Fabio SantacaterinaUnit of Physical Medicine and Rehabilitation, Università Campus Bio-Medico di Roma, via Alvaro Del Portillo 5, 00128 Rome, Italy.ORCID 0000-0002-6142-3096
Joshua Di ToccoUnit of Measurements and Biomedical Instrumentation, Università Campus Bio-Medico di Roma, via Alvaro Del Portillo 21, 00128 Rome, Italy.ORCID 0000-0002-9841-7861
Emiliano SchenaUnit of Measurements and Biomedical Instrumentation, Università Campus Bio-Medico di Roma, via Alvaro Del Portillo 21, 00128 Rome, Italy.ORCID 0000-0002-9696-1265
Silvia SterziUnit of Physical Medicine and Rehabilitation, Università Campus Bio-Medico di Roma, via Alvaro Del Portillo 5, 00128 Rome, Italy.
Federica BressiUnit of Physical Medicine and Rehabilitation, Università Campus Bio-Medico di Roma, via Alvaro Del Portillo 5, 00128 Rome, Italy.
Sandra MiccinilliUnit of Physical Medicine and Rehabilitation, Università Campus Bio-Medico di Roma, via Alvaro Del Portillo 5, 00128 Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The detection of gait abnormalities is essential for professionals involved in the rehabilitation of walking disorders. Instrumented treadmills are spreading as an alternative to overground gait analysis. To date, the use of these instruments for recording kinematic gait parameters is still limited in clinical practice due to the lack of validation studies. This study aims to investigate the performance of a multi-sensor instrumented treadmill (i.e., WalkerView

Indexed as

GaitWalkingBiomechanical PhenomenaExercise TestHumansRange of Motion, ArticularSpatio-Temporal Analysisbiomechanicscontactless kinematicsgaitinstrumented treadmillsensors

Identifiers

PMID34300534
PMCPMC8309770

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.