Evidence map›Paper›PMID 40931323›Full record

Observational studyJournal of orthopaedic research : official publication of the Orthopaedic Research Society2025

Monitoring Gait Recovery After Total Knee Arthroplasty Using Wearable Sensors: Responsiveness of Gait Accelerations.

Arash Ghaffari, Pernille Damborg Clasen, Andreas Kappel, John Rasmussen, Reed D Gurchiek, Søren Kold, Ole Rahbek

Abstract readObservational Study
In one paragraph

Observational study in Journal of orthopaedic research : official publication of the Orthopaedic Research Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Monitoring Gait Recovery After Total Knee Arthroplasty Using Wearable Sensors: Responsiveness of Gait Accelerations.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2025
    Observational
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

7 authors.

Arash GhaffariInterdisciplinary Orthopedics, Department of Orthopedics Surgery, Aalborg University Hospital, Aalborg, Denmark.ORCID 0000-0002-6901-0763
Pernille Damborg ClasenInterdisciplinary Orthopedics, Department of Orthopedics Surgery, Aalborg University Hospital, Aalborg, Denmark.
Andreas KappelInterdisciplinary Orthopedics, Department of Orthopedics Surgery, Aalborg University Hospital, Aalborg, Denmark.
John RasmussenDepartment of Materials and Production, Aalborg University, Aalborg, Denmark.
Reed D GurchiekDepartment of Bioengineering, Clemson University, Clemson, South Carolina, USA.
Søren KoldInterdisciplinary Orthopedics, Department of Orthopedics Surgery, Aalborg University Hospital, Aalborg, Denmark.
Ole RahbekInterdisciplinary Orthopedics, Department of Orthopedics Surgery, Aalborg University Hospital, Aalborg, Denmark.

Funding

The study was supported by the Helsefonden. 22-B-0152.
6 · The paper itself

Abstract

Functional recovery after total knee arthroplasty (TKA) varies widely among individuals, and traditional assessments often fail to detect subtle changes in real-world walking ability. Wearable sensors offer continuous and objective tracking of gait outside of clinical settings. In this prospective, longitudinal study, thirty-one patients undergoing unilateral TKA wore thigh-mounted accelerometers continuously from 2 weeks before surgery through 90 days postoperatively. We analyzed temporal gait features (stride time and duty factor) and frequency-domain metrics (power of the first five frequencies of triaxial acceleration), along with weekly EQ-5D-3L index scores (a summary measure of health-related quality of life) and visual analog scale (VAS) ratings (patient's self-reported health on a 0-100 scale). Gait acceleration profiles demonstrated significant postoperative disruptions, particularly during mid-stance and terminal swing, followed by gradual normalization, approaching baseline by day 90. Gait temporal parameters also exhibited transient alterations and recovery trends. Using LASSO logistic regression, Fourier-derived gait features discriminated responders and non-responders based on improvements in EQ-5D-3L outcomes above the minimal clinically important difference (AUC: 0.80-0.81). Specific harmonic changes across the vertical, mediolateral, and anteroposterior axes were significantly associated with the perceived health gains. The results indicated that frequency-based gait metrics from wearable sensors are sensitive digital biomarkers for short-term functional improvements.

Indexed as

AccelerometryArthroplasty, Replacement, KneeGait AnalysisRecovery of FunctionWearable Electronic DevicesAdultAgedAged, 80 and overFemaleGaitHumansLongitudinal StudiesMaleMiddle AgedPatient Reported Outcome MeasuresPostoperative Periodfrequency‐domain featuresgait analysisgait recoverypatient‐reported outcomestotal knee arthroplastywearable sensor

Identifiers

PMID40931323
PMCPMC12604452

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.