Evidence map›Paper›PMID 35957372›Full record

ArticleSensors (Basel, Switzerland)2022

Smart Brace for Static and Dynamic Knee Laxity Measurement.

Paolo Bellitti, Michela Borghetti, Nicola Francesco Lopomo, Emilio Sardini, Mauro Serpelloni

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

4 citing papers in PubMed, 12 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Paolo BellittiDepartment of Information Engineering, University of Brescia, Via Branze 38, 25123 Brescia, Italy.ORCID 0000-0001-7695-7237
Michela BorghettiDepartment of Information Engineering, University of Brescia, Via Branze 38, 25123 Brescia, Italy.ORCID 0000-0002-1641-1790
Nicola Francesco LopomoDepartment of Information Engineering, University of Brescia, Via Branze 38, 25123 Brescia, Italy.ORCID 0000-0002-5795-2606
Emilio SardiniDepartment of Information Engineering, University of Brescia, Via Branze 38, 25123 Brescia, Italy.ORCID 0000-0001-8629-7316
Mauro SerpelloniDepartment of Information Engineering, University of Brescia, Via Branze 38, 25123 Brescia, Italy.ORCID 0000-0001-6497-5876
University of Brescia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Every year in Europe more than 500 thousand injuries that involve the anterior cruciate ligament (ACL) are diagnosed. The ACL is one of the main restraints within the human knee, focused on stabilizing the joint and controlling the relative movement between the tibia and femur under mechanical stress (i.e., laxity). Ligament laxity measurement is clinically valuable for diagnosing ACL injury and comparing possible outcomes of surgical procedures. In general, knee laxity assessment is manually performed and provides information to clinicians which is mainly subjective. Only recently quantitative assessment of knee laxity through instrumental approaches has been introduced and become a fundamental asset in clinical practice. However, the current solutions provide only partial information about either static or dynamic laxity. To support a multiparametric approach using a single device, an innovative smart knee brace for knee laxity evaluation was developed. Equipped with stretchable strain sensors and inertial measurement units (IMUs), the wearable system was designed to provide quantitative information concerning the drawer, Lachman, and pivot shift tests. We specifically characterized IMUs by using a reference sensor. Applying the Bland-Altman method, the limit of agreement was found to be less than 0.06 m/s

Indexed as

Anterior Cruciate Ligament InjuriesJoint InstabilityBiomechanical PhenomenaHumansKnee JointPilot ProjectsRange of Motion, ArticularACLIMUknee biomechanicsknee laxitystretchable strain sensorswearable

Identifiers

PMID35957372
PMCPMC9371041
OpenAlexW4289861295

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.