Evidence map›Paper›PMID 34480582›Full record

ArticleKnee surgery, sports traumatology, arthroscopy : official journal of the ESSKA2021

A 2D qualitative movement assessment of a deceleration task detects football players with high knee joint loading.

Stefano Di Paolo, Stefano Zaffagnini, Filippo Tosarelli, Fabrizio Aggio, Laura Bragonzoni, Alberto Grassi, Francesco Della Villa

Registry-linked trialOpen access · hybridAbstract read
In one paragraph

Article in Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05370534 (Smartphone-Based Markerless Motion Capture for Orthopaedic Clinical Use), which is not on this map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
3.8field-weighted citation impact, top 6% 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.

NCT05370534 withdrawnnot on this mapstarted 2023, after this paper: background citation

Smartphone-Based Markerless Motion Capture for Orthopaedic Clinical Use

TypeobservationalSponsorUniversity of ArkansasRan2023 to 2023Enrolled0ConditionsMusculoskeletal Diseases or Conditions
3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

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  4. Reliability of a Novel Qualitative Assessment Tool for Evaluating a Run Plant Task.International journal of sports physical therapy · 2026
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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

7 authors at 3 institutions in 1 country.

Stefano Di PaoloDepartment for Life Quality Studies QUVI, University of Bologna, Via Giulio Cesare Pupilli, 1, 40136, Bologna, BO, Italy. stefano.dipaolo@ior.it.ORCID http://orcid.org/0000-0002-1761-7352
Stefano Zaffagnini2nd Orthopaedic and Traumatologic Clinic, IRCCS Istituto Ortopedico Rizzoli, Bologna, Italy.
Filippo TosarelliEducation and Research Department, Isokinetic Medical Group, FIFA Medical Centre of Excellence, Bologna, Italy.
Fabrizio AggioEducation and Research Department, Isokinetic Medical Group, FIFA Medical Centre of Excellence, Bologna, Italy.
Laura BragonzoniDepartment for Life Quality Studies QUVI, University of Bologna, Via Giulio Cesare Pupilli, 1, 40136, Bologna, BO, Italy.
Alberto Grassi2nd Orthopaedic and Traumatologic Clinic, IRCCS Istituto Ortopedico Rizzoli, Bologna, Italy.
Francesco Della VillaEducation and Research Department, Isokinetic Medical Group, FIFA Medical Centre of Excellence, Bologna, Italy.
GynePro Medical · ITIstituto Ortopedico Rizzoli · ITUniversity of Bologna · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe deceleration (pressing) is a common situational pattern leading to anterior cruciate ligament (ACL) injury in football. Although mainly assessed for performance purposes, a stronger focus on movement quality might support the screening of at-risk athletes. The aim of the present study was to describe a 2D scoring system for the assessment of the deceleration task and to associate it with the knee joint loading (knee abduction moment) evaluated through the gold standard 3D motion capture. The hypothesis was that lower 2D scores would be associated with higher knee joint loading.

methodsThirty-four competitive football (soccer) players (age 22.8 ± 4.1, 16 females) performed a series of deceleration tasks. 3D motion analysis was recorded using ten stereophotogrammetric cameras, a force platform, and three high-speed cameras. The 2D qualitative assessment was performed via a scoring system based on the video analysis of frontal and lateral planes joint kinematics for five scoring criteria. The intra- and inter-rater reliabilities were calculated for each 2D scoring criteria. The peak knee abduction moment was extracted and grouped according to the results of the 2D evaluation.

resultsAn ICC > 0.94 was found for all the 2D scoring criteria, both for intra-rater and inter-rater reliability. The players with low 2D frontal plane scores and low total scores (0-4) showed significantly higher peak knee abduction moment values (p < 0.001). A significant negative rank correlation was found between the total score and the peak knee abduction moment (ρ = - 0.25, p < 0.001).

conclusionsThe qualitative 2D scoring system described successfully discerned between athletes with high and low knee joint loading during a deceleration task. The application of this qualitative movement assessment based on a detailed and accurate scoring system is suitable to identify players and patients with high knee joint loading (high knee abduction moments) and target additional training in the scenario of the primary and secondary ACL injury risk reduction. LEVEL OF EVIDENCE: Level IV.

Indexed as

Anterior Cruciate Ligament InjuriesSoccerBiomechanical PhenomenaDecelerationFemaleHumansKnee JointMovementReproducibility of Results2D video analysisACLACL injury preventionDecelerationReturn to sportSoccer

Identifiers

PMID34480582
PMCPMC8595159
OpenAlexW3197821286

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.