Evidence map›Paper›PMID 39310650›Full record

ArticleCureus2024

Impact of Xsens Technology on Analysis of Gait Deviation in Pre- and Post-surgical Total Knee Arthroplasty Patient.

Neha M Chitlange, Deepali S Patil, H V Sharath, Raghumahanti Raghuveer, Moh'd Irshad Qureshi, Pratik Phansopkar

Abstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

6 authors.

Neha M ChitlangeDepartment of Musculoskeletal Physiotherapy, Ravi Nair Physiotherapy College, Center for Physiotherapy Education and Research (CAPER) Datta Meghe Institute of Higher Education and Research (DU), Wardha, IND.
Deepali S PatilDepartment of Musculoskeletal Physiotherapy, Ravi Nair Physiotherapy College, Center for Physiotherapy Education and Research (CAPER) Datta Meghe Institute of Higher Education and Research (DU), Wardha, IND.
H V SharathDepartment of Paediatric Physiotherapy, Ravi Nair Physiotherapy College, Center for Physiotherapy Education and Research (CAPER) Datta Meghe Institute of Higher Education and Research (DU), Wardha, IND.
Raghumahanti RaghuveerDepartment of Neuro-Physiotherapy, Ravi Nair Physiotherapy College, Center for Physiotherapy Education and Research (CAPER) Datta Meghe Institute of Higher Education and Research (DU), Wardha, IND.
Moh'd Irshad QureshiDepartment of Neuro-Physiotherapy, Ravi Nair Physiotherapy College, Center for Physiotherapy Education and Research (CAPER) Datta Meghe Institute of Higher Education and Research (DU), Wardha, IND.
Pratik PhansopkarDepartment of Musculoskeletal Physiotherapy, Ravi Nair Physiotherapy College, Center for Physiotherapy Education and Research (CAPER) Datta Meghe Institute of Higher Education and Research (DU), Wardha, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction Osteoarthritis (OA) is a degenerative joint ailment that predominantly affects the knee and is most common in older adults. It destroys the surrounding tissues and cartilage. Following total knee arthroplasty (TKA), patients with end-stage knee OA can have long-term pain reduction and patient satisfaction, although certain functional limitations still exist. While TKA significantly reduces pain and improve function, many patients still experience abnormalities post-surgery, such as slower walking and reduced step-length. Gait analysis using technologies like the Xsens Motion Visualization and Navigation (MVN) system (Movella, Henderson, NV, USA)provides insights into these functional limitations, helping to assess knee mobility and predict changes in joint movements during activities.  Methods Thirty-four people participated in a study done at the Centre for Advance Physiotherapy Education and Research, Ravi Nair Physiotherapy College, Wardha, both before and after total knee arthroplasty. Participants who ranged in age from 50 to 70 and had undergone unilateral TKA were included. Informed consent was obtained, and demographic data were collected. Participants walked a predetermined distance at their usual speed, and measurements of hip and knee angular velocity and center of mass were recorded for gait analysis. Result The study involved participants aged 50-70, with a mean age of 59.79 years and height ranging from 153.00 to 185.00 cm. Significant gait changes were noted pre- and post-total knee arthroplasty, including a decrease in walking speed from 0.72 to 0.55m/s and cadence from 105.06 to 82.86. Other parameters, such as step length and center of mass, also exhibited considerable differences, highlighting the impact of TKA on gait dynamics. Conclusion The study underscores the significant impact of total knee arthroplasty on gait mechanics and the value of advance of technologies like Xsens for assessing functional outcomes. While TKA provides pain relief and improved mobility, residual gait abnormalities persist, highlighting the need for tailored rehabilitation. Xsens technology enhances patient preparation, recovery tracking, and rehabilitation strategies, setting a new standard for gait analysis in orthopedic practice.

Indexed as

angular velocitycenter of massgait variablesknee osteoarthritistotal knee arthroplastyxsens

Identifiers

PMID39310650
PMCPMC11416349

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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.