Evidence map›Paper›PMID 38491405›Full record

ArticleBMC musculoskeletal disorders2024

Test-retest reliability and concurrent validity assessment of a novel high-frequency sensor device for anterior tibial translation measurement in loaded and unloaded condition: an exploratory cross-sectional study.

Valentin Deiss, Philippe Bähler, Pascal Kolly, Anton Schärer, Philippe Henle, Patric Eichelberger, Nathanael Lutz, Heiner Baur

Open access · goldAbstract read
In one paragraph

Article in BMC musculoskeletal disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 13% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. 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

8 authors at 2 institutions in 1 country.

Valentin DeissDepartment of Health Professions, Physiotherapy, Bern University of Applied Sciences, Bern, Switzerland. valentin.deiss@bfh.ch.
Philippe BählerInstitute for Human Centered Engineering, Bern University of Applied Sciences, Biel, Switzerland.
Pascal KollyInstitute for Human Centered Engineering, Bern University of Applied Sciences, Biel, Switzerland.
Anton SchärerInstitute for Human Centered Engineering, Bern University of Applied Sciences, Biel, Switzerland.
Philippe HenleDepartment of Knee Surgery and Sports Traumatology, Sonnenhof Orthopaedic Center, Bern, Switzerland.
Patric EichelbergerDepartment of Health Professions, Physiotherapy, Bern University of Applied Sciences, Bern, Switzerland.
Nathanael LutzDepartment of Health Professions, Physiotherapy, Bern University of Applied Sciences, Bern, Switzerland.
Heiner BaurDepartment of Health Professions, Physiotherapy, Bern University of Applied Sciences, Bern, Switzerland.
Bern University of Applied Sciences · CHKlinik Sonnenhof · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMagnetic resonance imaging (MRI) and manual tests remain the standard for diagnosing anterior cruciate ligament (ACL) rupture. Furthermore, the passive knee displacement, also described as anterior tibial translation (ATT), is used in order to make decisions about surgery or to assess rehabilitation outcomes. Unfortunately, these manual tests are limited to passive situations, and their application to assess knee stability in loaded, weight-bearing positions are missing. Therefore, a new device with high-performance sensors and a new sensor setting was developed. The aim of this exploratory cross-sectional study was to assess the test-retest reliability of this new device in a first step and the concurrent validity in a second step.

methodsA total of 20 healthy volunteers were measured. Measurement consistency of the new device was assessed on the basis of reliability during Lachman test setting and in loaded position by artificial knee perturbation in a test-retest procedure. In a second step, the concurrent validity was evaluated with the Lachmeter® as a reference instrument. Intraclass correlation coefficient (ICC), standard error of measurement (SEM), the minimal detectable change (MDC) and Bland-Altman analysis were evaluated to assess the quality criteria.

resultsThe measurements with the new device during the Lachman test provided a mean ATT of 5.46±2.22mm. The SEM ranged from 0.60 to 0.69mm resulting in an MDC between 1.67 and 1.93mm for the new device. In the loaded test situation, the mean ATT was 2.11±1.20mm, with test-retest reliability also showing good correlation (r>0.83). The comparison of the two measurement methods with an ICC of (r>0.89) showed good correlation, which also underlines the reasonable agreement of the Bland-Altman analysis.

conclusionsThe evaluation of the test-retest reliability of the new device during the knee stability testing in passive situation as well as in a functional, loaded situation presented good reliability. In addition, the new device demonstrated good agreement with the reference device and therefore good validity. Furthermore, the quality criteria demonstrated the ability of the new device to detect the cut-off value (3-5mm) described in the literature for the diagnosis of ACL-deficient knees, which underlines the clinical relevance of this new device as a reliable and valid tool.

Indexed as

Anterior Cruciate Ligament InjuriesKnee JointCross-Sectional StudiesHumansPhysical ExaminationReproducibility of ResultsACL injuryAnterior tibial translationFunctional joint stabilityHigh frequency sensor deviceKnee kinematicsReproducibility of results

Identifiers

PMID38491405
PMCPMC10943913
OpenAlexW4392884834

What OpenQuestion 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 OpenQuestion graph.