ReviewJournal of orthopaedics2025
The running gait analysis technology: A comprehensive systematic literature review.
Review in Journal of orthopaedics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis 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
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Visual attention and postural stability among older adults participating in health-enhancing physical activity: a systematic review.Frontiers in network physiology · 2026Pooled it
- Self-Powered Triboelectric Insole for Gait Asymmetry and Plantar Pressure Signatures in Rehabilitation Patients: A Cross-Sectional Study.Sensors (Basel, Switzerland) · 2026Article
- Artificial Intelligence-Enhanced Flexible Sensors for Human Motion and Posture Sensing.Sensors (Basel, Switzerland) · 2026Review
- Aristotle's arm-swing hypothesis: biomechanical evidence from forward and inverse dynamics in an Olympic sprinter.Frontiers in sports and active living · 2026Article
- Kalman-Based Joint Analysis of IMU and Plantar-Pressure Data During Speed-Skating Slideboard Training.Sensors (Basel, Switzerland) · 2026Article
- Characteristics of Lower Limb Dominant and Nondominant Joint Load Changes After Long-Distance Running in Young Male Runners Under OpenSim Environment.Sensors (Basel, Switzerland) · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Running is practiced worldwide, but more than 50 % of runners suffer some form of musculoskeletal injury each year. Biomechanics of running is an important aspect of sports medicine and gait analysis is central in the study of running mechanics for prevention of injuries and enhancing performance. Objectives: The purpose of this systematic literature review is to Saragiotto et al. (2014 Apr 4) 1 assess the methods employed in conducting gait analysis studies from 2020 to 2024, 2 discuss spatiotemporal characteristics, bilateral asymmetry, and RRI, (Lenhart et al., 2014 Mar) 3 present wearable technology, and (Willson et al., 2014) 4 provide recommendations for future research and application based on the findings. Methods: The study was conducted following the PRISMA guidelines and was registered in the PROSPERO database under the number CRD42024572642. The systematic search of articles was performed in the Scopus database, considering the articles written in English and published in journals between 2004 and 2024, which are focused on the analysis of running gait. Data were collected, pre-processed, and processed according to certain inclusion and exclusion criteria. Results: Of 2175 articles, only 43 studies were included. The studies were mainly concerned with spatiotemporal features (Patino and Ferreira, 2018) ,16 gait asymmetry and injuries (Crowther et al., 2007 Jun 1) ,9 biomechanics (Mason et al., 2023 Sep 1) ,8 and gait measurement tools (Schubert et al., 2014 May 1) .10 IMUs, accelerometers, and pressure sensors were established as wearable technologies that can be used to monitor gait in the sports setting. Conclusion: In this review, we discuss the latest developments in wearable technology for gait analysis, which can be considered a viable alternative to laboratory-based methods. However, the need to use standard methods and validation procedures has not lost its importance as it is crucial for the practical application of these technologies. Protocol: Registration number CRD42024572642.
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.