Evidence map›Paper›PMID 42421839›Full record

ArticleFrontiers in sports and active living2026

Biomechanical mechanisms of early gait training on knee cartilage degeneration after anterior cruciate ligament reconstruction: a study protocol.

Ruiqin Dang, Yiqun Lu, Ziren Zhou, Zheng Zhou, Na Cui, Yuanyuan Yu, Si Zhang, Yingfang Ao, Hongjie Huang, Jianquan Wang and 1 more

Registry-linked trialAbstract read
In one paragraph

Article in Frontiers in sports and active living, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06368544 (Effect of Early Gait Training on Knee Cartilage Degeneration After Anterior Cruciate Ligament Reconstruction), which is not on this map. Not yet cited in PubMed.

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

NCT06368544 narecruitingnot on this map

Effect of Early Gait Training on Knee Cartilage Degeneration After Anterior Cruciate Ligament Reconstruction

TypeinterventionalSponsorPeking University Third HospitalRan2024 to 2027Enrolled60ConditionsAnterior Cruciate Ligament Injuries, Cartilage DegenerationArmslower-body positive-pressure
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Ruiqin Dang *Department of Sports Medicine, Peking University Third Hospital, Institute of Sports Medicine of Peking University, Beijing, China.
Yiqun Lu *Department of Sports Medicine, Peking University Third Hospital, Institute of Sports Medicine of Peking University, Beijing, China.
Ziren ZhouDepartment of Sports Medicine, Peking University Third Hospital, Institute of Sports Medicine of Peking University, Beijing, China.
Zheng ZhouDepartment of Sports Medicine, Peking University Third Hospital, Institute of Sports Medicine of Peking University, Beijing, China.
Na CuiDepartment of Sports Medicine, Peking University Third Hospital, Institute of Sports Medicine of Peking University, Beijing, China.
Yuanyuan YuDepartment of Sports Medicine, Peking University Third Hospital, Institute of Sports Medicine of Peking University, Beijing, China.
Si ZhangDepartment of Sports Medicine, Peking University Third Hospital, Institute of Sports Medicine of Peking University, Beijing, China.
Yingfang AoDepartment of Sports Medicine, Peking University Third Hospital, Institute of Sports Medicine of Peking University, Beijing, China.
Hongjie HuangDepartment of Sports Medicine, Peking University Third Hospital, Institute of Sports Medicine of Peking University, Beijing, China.
Jianquan WangDepartment of Sports Medicine, Peking University Third Hospital, Institute of Sports Medicine of Peking University, Beijing, China.
Shuang RenDepartment of Sports Medicine, Peking University Third Hospital, Institute of Sports Medicine of Peking University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The primary objective of this study is to investigate the effects and biomechanical mechanisms of early gait retraining (GRT) on knee cartilage degeneration following anterior cruciate ligament reconstruction (ACLR). Methods: This study is a single-blind, parallel-group randomized controlled trial. A total of 60 participants scheduled for primary unilateral ACLR will be recruited and randomly allocated to either the experimental group (conventional rehabilitation plus gait retraining) or the control group (conventional rehabilitation only). Gait retraining will commence at 3 weeks post-surgery, lasting for 6 weeks with a frequency of 2-3 sessions per week, each lasting 15-20 min. Data will be collected at baseline (pre-intervention) and at 3 months, 6 months, 1 year, and 2 years postoperatively. Assessment will include three-dimensional gait analysis, surface electromyography (sEMG), isokinetic muscle strength testing, functional magnetic resonance imaging (fMRI), Y-balance test, single-leg hop test, the International Knee Documentation Committee (IKDC) subjective knee evaluation form, Lysholm knee score, and Tegner activity scale. The primary outcome measure is the peak knee flexion moment during walking. Secondary outcomes include cartilage T1 Results: Not applicable. Conclusion: Early gait retraining using a lower-body positive pressure (anti-gravity) treadmill after ACLR is hypothesized to significantly improve postoperative gait biomechanics. Furthermore, early GRT may optimize standard rehabilitation protocols, potentially preventing or delaying cartilage degeneration. This approach holds clinical significance for restoring normal gait and preventing secondary injuries in individuals with sports-related injuries. Clinical Trial Registration: https:register.clinicaltrials.gov, identifier NCT06368544.

Indexed as

anterior cruciate ligament reconstructioncartilage degenerationgait biomechanicsgait retrainingweight-loss treadmill

Identifiers

PMID42421839
PMCPMC13341869

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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.