Evidence map›Paper›PMID 36554461›Full record

ArticleInternational journal of environmental research and public health2022

Comparing a Sensor for Movement Assessment with Traditional Physiotherapeutic Assessment Methods in Patients after Knee Surgery-A Method Comparison and Reproducibility Study.

Jennifer Eymann, Werner Vach, Luis Fischer, Marcel Jakob, Andreas Gösele

Registry-linked trialAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04939389 (Comparing a Sensor for Movement Assessment With Traditional Clinical Assessment Methods in Patients After Knee Surgery.), which is not on this map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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.

NCT04939389 nacompletednot on this map

Comparing a Sensor for Movement Assessment With Traditional Clinical Assessment Methods in Patients After Knee Surgery.

TypeinterventionalSponsorcrossklinik AGRan2021 to 2022Enrolled36ConditionsStatus After Knee SurgeryArmsOrthelligent Pro
3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
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.

Jennifer EymannCrossklinik AG, 4054 Basel, Switzerland.
Werner VachBasel Academy for Quality and Research in Medicine, 4051 Basel, Switzerland.
Luis FischerCrossphysio, 4054 Basel, Switzerland.
Marcel JakobCrossklinik AG, 4054 Basel, Switzerland.
Andreas GöseleCrossklinik AG, 4054 Basel, Switzerland.ORCID 0000-0002-1323-1620

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wearable sensors offer the opportunity for patients to perform a self-assessment of their function with respect to a variety of movement exercises. Corresponding commercial products have the potential to change the communication between patients and physiotherapists during the recovery process. Even if they turn out to be user-friendly, there remains the question to what degree the numerical results are reliable and comparable with those obtained by assessment methods traditionally used. To address this question for one specific recently developed and commercially available sensor, a method comparison study was performed. The sensor-based assessment of eight movement parameters was compared with an assessment of the same parameters based on test procedures traditionally used. Thirty-three patients recovering after arthroscopic knee surgery participated in the study. The whole assessment procedure was repeated. Reproducibility and agreement were quantified by the intra class correlation coefficient. The height of a one-leg vertical jump and the number of side hops showed high agreement between the two modalities and high reproducibility (ICC > 0.85). Due to differences in the set-up of the assessment, agreement could not be achieved for three mobility parameters, but even the correlation was only fair (r < 0.5). Knee stability showed poor agreement. Consequently, the use of the sensor can currently only be recommended for selected parameters. The variation in degree of agreement and reproducibility across different parameters clearly indicate the need for developing corresponding guidance for each new sensor put onto the market.

Indexed as

Knee JointMovementHumansKneeLower ExtremityReproducibility of Resultsagreementassessmentmovement exercisesreproducibilitywearable sensor

Identifiers

PMID36554461
PMCPMC9779175

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Registered trials

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