Evidence map›Paper›PMID 35009800›Full record

ArticleSensors (Basel, Switzerland)2021

Reliability and Repeatability of ACL Quick Check

Annamaria Guiotto, Alfredo Ciniglio, Fabiola Spolaor, Davide Pavan, Federica Cibin, Alex Scaldaferro, Zimi Sawacha

Open access · goldAbstract 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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 22% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

7 authors at 1 institution in 1 country.

Annamaria GuiottoDepartment of Information Engineering (DEI), University of Padova, 35131 Padova, Italy.ORCID 0000-0002-0635-098X
Alfredo CiniglioDepartment of Information Engineering (DEI), University of Padova, 35131 Padova, Italy.ORCID 0000-0003-3586-5058
Fabiola SpolaorDepartment of Information Engineering (DEI), University of Padova, 35131 Padova, Italy.ORCID 0000-0002-4723-0546
Davide PavanDepartment of Information Engineering (DEI), University of Padova, 35131 Padova, Italy.
Federica CibinDepartment of Information Engineering (DEI), University of Padova, 35131 Padova, Italy.
Alex ScaldaferroDepartment of Information Engineering (DEI), University of Padova, 35131 Padova, Italy.
Zimi SawachaDepartment of Information Engineering (DEI), University of Padova, 35131 Padova, Italy.ORCID 0000-0002-2624-5415
University of Padua · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anterior cruciate ligament (ACL) lesion represents one of the most dramatic sport injuries. Even though clinical screenings aiming at identifying subjects at risk of injuries are gaining popularity, the use of sophisticated equipment still represents a barrier towards their widespread use. This study aimed to test both reliability and repeatability of a new methodology to assess lower limb joints kinematics and kinetics directly on field with the aid of video cameras and plantar pressure insoles. Ten athletes and one case study (post ACL surgery) were assessed in a gait laboratory, while performing double leg squats, through the simultaneous acquisition of stereophotogrammetry, force plates, commercial video cameras and plantar pressure insoles. Different sources of errors were investigated and both reliability and repeatability analysis performed. Minimum and maximum RMSE values of 0.74% (right knee joint center trajectory) and 64.51%, respectively (ankle dorsi-plantarflexion moment), were detected. Excellent to good correlation was found for the majority of the measures, even though very poor and inverse between-trials correlation was found on a restricted number of trials especially for the ankle dorsi-plantarflexion moment. These findings could be used in combination with already available screening tools in order to provide more repeatable results.

Indexed as

Anterior Cruciate LigamentAnterior Cruciate Ligament InjuriesBiomechanical PhenomenaHumansKineticsKnee JointLower ExtremityReproducibility of ResultsACL injuryjoint momentsplantar pressuresagittal plane kinematics of squatvideo analysis

Identifiers

PMID35009800
PMCPMC8749888
OpenAlexW4206589421

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.