Evidence map›Paper›PMID 33922801›Full record

ArticleSensors (Basel, Switzerland)2021

Quantitative and Qualitative Running Gait Analysis through an Innovative Video-Based Approach.

Laura Simoni, Alessandra Scarton, Claudio Macchi, Federico Gori, Guido Pasquini, Silvia Pogliaghi

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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Article
  6. Knee Joint Menisci Are Shock Absorbers: A BiomechanicalFrontiers in bioengineering and biotechnology · 2022
    Article
  7. Article
  8. Article
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

6 authors.

Laura SimoniDepartment of Neurosciences, Biomedicine and Movement Sciences, University of Verona, 37129 Verona, Italy.
Alessandra ScartonMicrogate SRL, 39100 Bolzano, Italy.
Claudio MacchiIRCCS Fondazione Don Carlo Gnocchi ONLUS, 50143 Florence, Italy.
Federico GoriMicrogate SRL, 39100 Bolzano, Italy.
Guido PasquiniIRCCS Fondazione Don Carlo Gnocchi ONLUS, 50143 Florence, Italy.
Silvia PogliaghiDepartment of Neurosciences, Biomedicine and Movement Sciences, University of Verona, 37129 Verona, Italy.ORCID 0000-0002-4394-8550

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantitative and qualitative running gait analysis allows the early identification and the longitudinal monitoring of gait abnormalities linked to running-related injuries. A promising calibration- and marker-less video sensor-based technology (i.e.,

Indexed as

Gait AnalysisRunningAdultBiomechanical PhenomenaExercise TestGaitHumansWalkingfast Fourier transformgait analysisharmonytreadmill runningvideo-based systemsvideo sensors

Identifiers

PMID33922801
PMCPMC8123008

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.