Evidence map›Paper›PMID 36193431›Full record

ArticlePeerJ2022

Objective monitoring of functional recovery after total knee and hip arthroplasty using sensor-derived gait measures.

Ramon Boekesteijn, José Smolders, Vincent Busch, Noël Keijsers, Alexander Geurts, Katrijn Smulders

Registry-linked trialAbstract read
In one paragraph

Article in PeerJ, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07367789 (Prediction of Patient-reported Outcome Measure and Performance-based Measure After Total Knee Arthroplasty Using Instrumented Insoles and Deep Neural Networks), which is not on this map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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.

NCT07367789 recruitingnot on this map

Prediction of Patient-reported Outcome Measure and Performance-based Measure After Total Knee Arthroplasty Using Instrumented Insoles and Deep Neural Networks

TypeobservationalSponsorYonsei UniversityRan2021 to 2026Enrolled200ConditionsKnee Osteoarthritis, Total Knee ArthroplastyArmsInstrumented Insole Gait Assessment
3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Trial
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  4. Review
  5. Article
  6. Article
  7. 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
  8. Review
  9. Review
  10. Article
  11. Article
  12. Review
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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

6 authors.

Ramon BoekesteijnDepartment of Research, Sint Maartenskliniek, Nijmegen, The Netherlands.
José SmoldersDepartment of Orthopedic Surgery, Sint Maartenskliniek, Nijmegen, The Netherlands.
Vincent BuschDepartment of Orthopedic Surgery, Sint Maartenskliniek, Nijmegen, The Netherlands.
Noël KeijsersDepartment of Research, Sint Maartenskliniek, Nijmegen, The Netherlands.
Alexander GeurtsDepartment of Rehabilitation, Donders Institute for Brain Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands.
Katrijn SmuldersDepartment of Research, Sint Maartenskliniek, Nijmegen, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Inertial sensors hold the promise to objectively measure functional recovery after total knee (TKA) and hip arthroplasty (THA), but their value in addition to patient-reported outcome measures (PROMs) has yet to be demonstrated. This study investigated recovery of gait after TKA and THA using inertial sensors, and compared results to recovery of self-reported scores of pain and function. Methods: PROMs and gait parameters were assessed before and at two and fifteen months after TKA ( Results: Gait parameters recovered to the level of healthy controls after both TKA and THA. Early improvements were found in gait-related trunk kinematics, while spatiotemporal gait parameters mainly improved between two and fifteen months after TKA and THA. Compared to the large and early improvements found in of PROMs, these gait parameters showed a different trajectory, with a marked discordance between the outcome of both methods at two months post-operatively. Conclusion: Sensor-derived gait parameters were responsive to TKA and THA, showing different recovery trajectories for spatiotemporal gait parameters and gait-related trunk kinematics. Fifteen months after TKA and THA, there were no remaining gait differences with respect to healthy controls. Given the discordance in recovery trajectories between gait parameters and PROMs, sensor-derived gait parameters seem to carry relevant information for evaluation of physical function that is not captured by self-reported scores.

Indexed as

Arthroplasty, Replacement, HipArthroplasty, Replacement, KneeOsteoarthritisGaitHumansKnee JointAccelerometerArthroplastyGaitGyroscopeOsteoarthritisPROMsWearable sensors

Identifiers

PMID36193431
PMCPMC9526408

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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.