ArticleSensors (Basel, Switzerland)2023
Stepping beyond Counts in Recovery of Total Knee Arthroplasty: A Prospective Study on Passively Collected Gait Metrics.
Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03737149 (A Prospective Multicenter Longitudinal Cohort Study of the Mymobility Platform), which is not on this map. Cited by 10 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.
A Prospective Multicenter Longitudinal Cohort Study of the Mymobility Platform
Who cites it
10 citing papers in PubMed.
- From One-Size-Fits-All to Data-Driven Recovery: A Narrative Review of Wearable Technologies Toward Personalized Rehabilitation After Total Hip and Knee Arthroplasty.Journal of personalized medicine · 2026Review
- Gait Biomechanics, Symmetry Restoration, and Functional Recovery Following Total Knee Arthroplasty: A Prospective Longitudinal Cohort Study.Life (Basel, Switzerland) · 2026Article
- Convergent Validity of Step Counts Collected from a Smart Knee Implant and a Smartphone-Based Care Management Application: A 7861-Patient Study.Sensors (Basel, Switzerland) · 2026Article
- Smartphone-Based Gait Assessment Captures Functional Recovery Following Total Knee Arthroplasty.Sensors (Basel, Switzerland) · 2026Article
- Wearable Sensors for the Assessment of Functional Outcome Following Reverse Shoulder Arthroplasty: A Systematic Scoping Review.Journal of clinical medicine · 2025Review
- "Neutral Satisfied" Patients Should Not Be Dichotomized to "Satisfied" or "Dissatisfied" in Patient-Reported Outcomes After Total Knee Arthroplasty.Journal of clinical medicine · 2025Article
- Gradual restoration of gait following unicompartmental knee arthroplasty: a prospective study.Journal of orthopaedic surgery and research · 2025Article
- Assessment of a New Gait Asymmetry Index in Patients After Unilateral Total Hip Arthroplasty.Journal of clinical medicine · 2024Article
- Multicenter, prospective cohort study: immediate postoperative gains in active range of motion following robotic-assisted total knee replacement compared to a propensity-matched control using manual instrumentation.Arthroplasty (London, England) · 2023Article
- Stepping Beyond Counts in Recovery of Total Hip Arthroplasty: A Prospective Study on Passively Collected Gait Metrics.Sensors (Basel, Switzerland) · 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
7 authors.
Funding
Abstract
Advances in algorithms developed from sensor-based technology data allow for the passive collection of qualitative gait metrics beyond step counts. The purpose of this study was to evaluate pre- and post-operative gait quality data to assess recovery following primary total knee arthroplasty. This was a multicenter, prospective cohort study. From 6 weeks pre-operative through to 24 weeks post-operative, 686 patients used a digital care management application to collect gait metrics. Average weekly walking speed, step length, timing asymmetry, and double limb support percentage pre- and post-operative values were compared with a paired-samples
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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.