ReviewKnee surgery, sports traumatology, arthroscopy : official journal of the ESSKA2026
Step-by-step insight into gait analysis: A narrative review unlocking knee biomechanics.
Review in Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Subject-Level Classification of Osteonecrosis of the Femoral Head from Wearable IMU Gait Data Using Multilevel Feature Fusion.Bioengineering (Basel, Switzerland) · 2026Article
- Accessible 2D video-based system for gait kinematic analysis: an inter-rater reliability study.Frontiers in bioengineering and biotechnology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
Gait analysis offers a powerful tool for clinical and orthopaedic decision-making. By quantifying spatiotemporal, kinematic and kinetic parameters during walking, it provides a dynamic window into joint function that static imaging cannot capture. Despite its potential, gait analysis remains largely confined to specialised centres, with limited integration in clinical pathways, mainly due to its perceived complexity and lack of standardisation. This narrative review aims to bridge that gap through a step-by-step approach to guide orthopaedic surgeons, sports medicine physicians and musculoskeletal clinicians in understanding and interpreting key biomechanical markers relevant to common knee pathologies, such as osteoarthritis and anterior cruciate ligament injury. Particular attention is given to how deviations in parameters like joint angles and moments, dynamic alignment and centre of pressure trajectories can offer actionable insights into disease progression, treatment response and surgical planning. The urgent need for standardised protocols, encompassing marker placement, biomechanical modelling and data processing, is also underscored, as they are essential to ensure reproducibility and facilitate clinical translation. By clarifying the clinical meaning of gait metrics, this review empowers healthcare professionals to integrate dynamic functional data into everyday decision-making and move towards more personalised, biomechanically informed care. Level of Evidence: Level IV.
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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.