Evidence map›Paper›PMID 35225909›Full record

ArticleJournal of functional morphology and kinesiology2022

Intraoperative Load Sensing in Total Knee Arthroplasty Leads to a Functional but Not Clinical Difference: A Comparative, Gait Analysis Evaluation.

Michele Giuntoli, Michelangelo Scaglione, Enrico Bonicoli, Nicola Piolanti, Gianmarco Puccioni, Karlos Zepeda, Emanuele Giannini, Stefano Marchetti, Pier Francesco Indelli

Abstract read
In one paragraph

Article in Journal of functional morphology and kinesiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

  1. Article
  2. Special Issue "Working Group in Sports Medicine".Journal of functional morphology and kinesiology · 2024
    Article
  3. 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

9 authors.

Michele GiuntoliDepartment of Orthopaedic Surgery, University of Pisa, Via Paradisa 2, Cisanello, 56124 Pisa, Italy.ORCID 0000-0001-7752-7706
Michelangelo ScaglioneDepartment of Orthopaedic Surgery, University of Pisa, Via Paradisa 2, Cisanello, 56124 Pisa, Italy.
Enrico BonicoliDepartment of Orthopaedic Surgery, University of Pisa, Via Paradisa 2, Cisanello, 56124 Pisa, Italy.
Nicola PiolantiDepartment of Orthopaedic Surgery, University of Pisa, Via Paradisa 2, Cisanello, 56124 Pisa, Italy.ORCID 0000-0001-5157-6024
Gianmarco PuccioniDepartment of Orthopaedic Surgery, University of Pisa, Via Paradisa 2, Cisanello, 56124 Pisa, Italy.
Karlos ZepedaHarlem Campus, Touro College of Osteopathic Medicine, Harlem, New York, NY 10027, USA.
Emanuele GianniniKinetic Center, 56124 Pisa, Italy.
Stefano MarchettiDepartment of Orthopaedic Surgery, University of Pisa, Via Paradisa 2, Cisanello, 56124 Pisa, Italy.
Pier Francesco IndelliDepartment of Orthopaedic Surgery, Stanford University School of Medicine, Stanford, CA 94305, USA.ORCID 0000-0002-4752-8027

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAlthough Total Knee Arthroplasty (TKA) is a successful procedure, a significant number of patients are still unsatisfied, reporting instability at the mid-flexion range (Mid-Flexion Instability-MFI). To avoid this complication, many innovations, including load sensors (LS), have been introduced. The intraoperative use of LS may facilitate the balance of the knee during the entire range of motion to avoid MFI postoperatively. The objective of this study was to perform a Gait Analysis (GA) evaluation of a series of patients who underwent primary TKA using a single LS technology.

methodsThe authors matched and compared two groups of patients treated with the same posterior stabilized TKA design. In Group A, 10 knees were intraoperatively balanced with LS technology, while 10 knees (Group B) underwent standard TKA. The correct TKA alignment was preoperatively determined aiming for a mechanical alignment. Clinical evaluation was performed according to the WOMAC, Knee Society Score (KSS) and Forgotten Joint Score, while functional evaluation was performed using a state-of-the-art GA platform.

resultsWe reported excellent clinical results in both groups without any statistical difference in patient reported outcome measurements (PROMs); from a functional standpoint, several GA space-time parameters were closer to normal in the sensor group when compared to the standard group, but a statistically significant difference was not reached.

conclusionsGait Analysis represents a valid method to evaluate TKA kinematics. This study, with its limitations, showed that pressure sensitive technology represents a valid aid for surgeons aiming to improve the postoperative stability of TKA; however, other factors (i.e., level of intra-articular constraint and alignment) may play a major role in reproducing the normal knee biomechanics.

Indexed as

biomechanicsgait analysiskinematicskneeknee balanceload sensormid-flexion instabilitysensorTKAtotal knee arthroplasty

Identifiers

PMID35225909
PMCPMC8883885

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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.