ArticleBMC musculoskeletal disorders2016
Gender differences in gait kinematics for patients with knee osteoarthritis.
Article in BMC musculoskeletal disorders, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 4 of them syntheses that pooled 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.
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
53 citing papers in PubMed, 4 syntheses or guidelines pooled it, 135 citations in OpenAlex.
- Pooled it
- Sex Specific Determinants in Osteoarthritis: A Systematic Review of Preclinical Studies.International journal of molecular sciences · 2020Pooled it
- Effects of walking speed on gait biomechanics in healthy participants: a systematic review and meta-analysis.Systematic reviews · 2019Pooled it
- Lack of association between matrix metalloproteinase-1 gene rs1799750 polymorphism and osteoarthritis susceptibility: a meta-analysis.Bioscience reports · 2019Pooled it
- Foot Progression Angle Modulates Knee Loading During Walking in Individuals with Flexible Flatfoot.Annals of biomedical engineering · 2026Article
- Which spatiotemporal parameters are predicted by commonly used osteoarthritis questionnaires in clinical practice? An exploratory study.BMC musculoskeletal disorders · 2026Article
- Explainable machine learning for orthopedic decision-making: predicting functional outcomes of total hip replacement from gait biomechanics.Arthritis research & therapy · 2025Article
- Contribution of Sex-Biased Expressed Genes in Osteoarthritis.Smart medicine · 2025Article
- Effects of Dynamic Stability Training with Water Inertia Load on Gait and Biomechanics in Older Women: A Randomized Clinical Trial.Journal of functional morphology and kinesiology · 2025Article
- Scoping Review of Machine Learning Techniques in Marker-Based Clinical Gait Analysis.Bioengineering (Basel, Switzerland) · 2025Review
- Association of walking cadence to changes in knee pain and physical function: The multicenter osteoarthritis study.Osteoarthritis and cartilage open · 2025Article
- Application of machine learning for detecting high fall risk in middle-aged workers using video-based analysis of the first 3 steps.Journal of occupational health · 2025Article
- A Biomechanical Dataset of 1,798 Healthy and Injured Subjects During Treadmill Walking and Running.Scientific data · 2024Article
- In-vivo 3-dimensional spine and lower body gait symmetry analysis in healthy individuals.Heliyon · 2024Article
- Article
- Article
- The Effect of Bicycle Saddle Widths on Saddle Pressure in Female Cyclists.Journal of sports science & medicine · 2023Article
- Identification ofAnnals of translational medicine · 2023Article
- Mechanical energy fluctuation in lower limbs during walking in participants with and without total hip replacement.Royal Society open science · 2023Article
- Versatile clinical movement analysis using statistical parametric mapping in MovementRx.Scientific reports · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
backgroundFemales have a two-fold risk of developing knee osteoarthritis (OA) as compared to their male counterparts and atypical walking gait biomechanics are also considered a factor in the aetiology of knee OA. However, few studies have investigated sex-related differences in walking mechanics for patients with knee OA and of those, conflicting results have been reported. Therefore, this study was designed to examine the differences in gait kinematics (1) between male and female subjects with and without knee OA and (2) between healthy gender-matched subjects as compared with their OA counterparts.
methodsOne hundred subjects with knee OA (45 males and 55 females) and 43 healthy subjects (18 males and 25 females) participated in this study. Three-dimensional kinematic data were collected during treadmill-walking and analysed using (1) a traditional approach based on discrete variables and (2) a machine learning approach based on principal component analysis (PCA) and support vector machine (SVM) using waveform data.
resultsOA and healthy females exhibited significantly greater knee abduction and hip adduction angles compared to their male counterparts. No significant differences were found in any discrete gait kinematic variable between OA and healthy subjects in either the male or female group. Using PCA and SVM approaches, classification accuracies of 98-100% were found between gender groups as well as between OA groups.
conclusionsThese results suggest that care should be taken to account for gender when investigating the biomechanical aetiology of knee OA and that gender-specific analysis and rehabilitation protocols should be developed.
Indexed as
Identifiers
What OpenQuestion holds
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.