Evidence mapPaperPMID 37430890Full record

ArticleSensors (Basel, Switzerland)2023

Inertial-Sensor-Based Monitoring of Sample Entropy and Peak Frequency Changes in Treadmill Walking during Recovery after Total Knee Arthroplasty.

Werner A F van de Ven, Jurjen Bosga, Wim Hullegie, Wiebe C Verra, Ruud G J Meulenbroek

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 48% of its field
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

4 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
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

5 authors at 3 institutions in 1 country.

Werner A F van de VenDonders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, 6525 GD Nijmegen, The Netherlands.
Jurjen BosgaDonders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, 6525 GD Nijmegen, The Netherlands.
Wim HullegiePhysiotherapy Practice Hullegie and Richter MSC, 7512 AC Enschede, The Netherlands.
Wiebe C VerraMedisch Spectrum Twente, Department of Orthopedic Surgery, 7512 KZ Enschede, The Netherlands.
Ruud G J MeulenbroekDonders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, 6525 GD Nijmegen, The Netherlands.
Radboud University Nijmegen · NLMedisch Spectrum Twente · NLZiekenhuis Groep Twente · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to investigate whether sample entropy (SEn) and peak frequency values observed in treadmill walking could provide physical therapists valuable insights into gait rehabilitation following total knee arthroplasty (TKA). It was recognized that identifying movement strategies that during rehabilitation are initially adaptive but later start to hamper full recovery is critical to meet the clinical goals and minimize the risk of contralateral TKA. Eleven TKA patients were asked to perform clinical walking tests and a treadmill walking task at four different points in time (pre-TKA, 3, 6, and 12 months post-TKA). Eleven healthy peers served as the reference group. The movements of the legs were digitized with inertial sensors and SEn and peak frequency of the recorded rotational velocity-time functions were analyzed in the sagittal plane. SEn displayed a systematic increase during recovery in TKA patients (

Indexed as

Arthroplasty, Replacement, KneeEntropyGaitHumansWalkingWalk Testentropygaitinertial measurement unitsknee replacement surgerypower spectral density analysis

Identifiers

PMID37430890
PMCPMC10223709
OpenAlexW4378078444

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.