Evidence map›Paper›PMID 40583861›Full record

ArticleJournal of experimental orthopaedics2025

Instrumented gait analysis post-anterior cruciate ligament reconstruction in pediatric patients: A non-invasive method for quantifying the static and dynamic leg axis.

Leonie Kijewski, Eva Böker, Karoline Hofmann, Thomas Engel, Pierre Hepp, Maren Witt

Abstract read
In one paragraph

Article in Journal of experimental orthopaedics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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.

Leonie KijewskiSt. Elisabeth Hospital Leipzig Germany.ORCID https://orcid.org/0009-0008-5913-9767
Eva BökerDepartment of Biomechanics Faculty of Sports Science at the University of Leipzig Leipzig Germany.ORCID https://orcid.org/0000-0001-9551-3949
Karoline HofmannDepartment of Biomechanics Faculty of Sports Science at the University of Leipzig Leipzig Germany.
Thomas EngelSt. Elisabeth Hospital Leipzig Germany.
Pierre HeppDepartment of Orthopedics, Trauma Surgery, and Plastic Surgery University Clinic Leipzig Leipzig Germany.ORCID https://orcid.org/0000-0002-6510-2943
Maren WittDepartment of Biomechanics Faculty of Sports Science at the University of Leipzig Leipzig Germany.ORCID https://orcid.org/0000-0003-2159-7785

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study explores the potential of Instrumented gait analysis (IGA) as a non-invasive tool for monitoring rehabilitation in pediatric patients with anterior cruciate ligament (ACL) injuries. Current clinical assessments, such as physical exams and X-rays, have limitations in evaluating dynamic knee alignment and loading. IGA may offer a more precise method to track rehabilitation progress and detect altered gait biomechanics following ACL reconstruction (ACLR). We hypothesize that IGA can provide insights into differences in frontal knee alignment and mechanical loading between static and dynamic conditions in pediatric patients following ACLR. Methods: IGA was conducted on 18 patients (mean age: 15 ± 2 years) at 3 and 12 months following ACLR, and seven conservatively treated patients (mean age: 12 ± 3) at 12 months post-injury. Retroreflective markers were placed using the CAST lower body model. The gait was recorded in 3D using 12 infrared and two video cameras. Ground reaction forces were measured with force plates. Frontal knee alignment was assessed from kinematic data at four gait events: double-limb stance, initial contact, loading response, and mid-stance, identified by C-Motion Visual3D Professional. Frontal knee joint moments were calculated based on inverse kinematic and dynamic in Newton-meters per kilogram (Nm/kg) at the specified gait events. Repeated-measures ANOVA was used to compare frontal knee alignment between static and dynamic conditions, while paired t-tests assessed differences between injured and uninjured extremities. Results: In the surgical group, a significant increase in body height occurred between 3 and 12 months ( Conclusions: The findings of this study suggest that IGA can detect dynamic alignment deviations, supporting its potential as a complementary tool for monitoring knee function following pediatric ACL injuries. The absence of significant alignment changes over time indicates a low risk of surgery-induced growth plate injury. While IGA may help identify alignment-related risk factors for re-rupture, its ability to accurately predict graft insufficiency remains unclear. Level of Evidence: Level II, prospective cohort study.

Indexed as

axis deviationgrowth plate injuryinstrumented gait analysispediatric ACL reconstructionrehabilitation

Identifiers

PMID40583861
PMCPMC12206495

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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.