Evidence map›Paper›PMID 33810610›Full record

ArticleSensors (Basel, Switzerland)2021

Rehabilitation and Return to Sport Assessment after Anterior Cruciate Ligament Injury: Quantifying Joint Kinematics during Complex High-Speed Tasks through Wearable Sensors.

Stefano Di Paolo, Nicola Francesco Lopomo, Francesco Della Villa, Gabriele Paolini, Giulio Figari, Laura Bragonzoni, Alberto Grassi, Stefano Zaffagnini

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 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

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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.

Stefano Di PaoloDepartment for Life Quality Studies, University of Bologna, 40136 Bologna, Italy.ORCID 0000-0002-1761-7352
Nicola Francesco LopomoDepartment of Information Engineering, University of Brescia, 25123 Brescia, Italy.ORCID 0000-0002-5795-2606
Francesco Della VillaIsokinetic Medical Group, Educational & Research Department, FIFA Medical Centre of Excellence, 40132 Bologna, Italy.ORCID 0000-0001-9379-6666
Gabriele PaoliniGPEM srl, 07041 Alghero, Italy.
Giulio FigariGPEM srl, 07041 Alghero, Italy.
Laura BragonzoniDepartment for Life Quality Studies, University of Bologna, 40136 Bologna, Italy.ORCID 0000-0002-4773-2300
Alberto GrassiOrthopaedic and Traumatologic Clinic II, IRCCS Istituto Ortopedico Rizzoli, 40136 Bologna, Italy.
Stefano ZaffagniniOrthopaedic and Traumatologic Clinic II, IRCCS Istituto Ortopedico Rizzoli, 40136 Bologna, Italy.ORCID 0000-0002-2941-1407

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of the present study was to quantify joint kinematics through a wearable sensor system in multidirectional high-speed complex movements used in a protocol for rehabilitation and return to sport assessment after Anterior Cruciate Ligament (ACL) injury, and to validate it against a gold standard optoelectronic marker-based system. Thirty-four healthy athletes were evaluated through a full-body wearable sensor (MTw Awinda, Xsens) and a marker-based optoelectronic (Vicon Nexus, Vicon) system during the execution of three tasks: drop jump, forward sprint, and 90° change of direction. Clinically relevant joint angles of lower limbs and trunk were compared through Pearson's correlation coefficient (r), and the Coefficient of Multiple Correlation (CMC). An excellent agreement (r > 0.94, CMC > 0.96) was found for knee and hip sagittal plane kinematics in all the movements. A fair-to-excellent agreement was found for frontal (r 0.55-0.96, CMC 0.63-0.96) and transverse (r 0.45-0.84, CMC 0.59-0.90) plane kinematics. Movement complexity slightly affected the agreement between the systems. The system based on wearable sensors showed fair-to-excellent concurrent validity in the evaluation of the specific joint parameters commonly used in rehabilitation and return to sport assessment after ACL injury for complex movements. The ACL professionals could benefit from full-body wearable technology in the on-field rehabilitation of athletes.

Indexed as

Anterior Cruciate Ligament InjuriesAnterior Cruciate Ligament ReconstructionWearable Electronic DevicesAnterior Cruciate LigamentBiomechanical PhenomenaHumansKnee JointReturn to SportACLkinematicsmarker-based optoelectronic systemmotion capture validationrehabilitationwearable inertial sensors

Identifiers

PMID33810610
PMCPMC8037754

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Registered trials

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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.