Variation of the glenohumeral and scapulothoracic motion in progressive severity of glenohumeral osteoarthritis

Spranz, David M.; Bruttel, Hendrik; Eckerle, Jan M.; Wolf, Sebastian I.; Berrsché, Gregor; Maier, Michael W.

doi:10.1016/j.otsr.2019.07.010

Cited by 6 publications

(20 citation statements)

References 16 publications

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“…Fifteen full-text articles were then screened, leading to the elimination of four studies. At the end of the selection process, a total of 11 articles were considered eligible for this study [17][18][19][23][24][25][26][27][28][29][30]. The PRISMA flowchart of the literature search is reported in Figure 1.…”

Section: Search Resultsmentioning

confidence: 99%

“…Among the 11 included studies, 6 were cohort studies (CS) of III LOE [17,23,25,27,29,30], 1 was a case series (CAS) of III LOE [18], 2 were retrospective cohort (RCS) studies of III LOE [19,26], 1 was a cross sectional study (CRS) of IV LOE [28], and 1 was a Prospective Laboratory Study (PLS) of III LOE [24]. No RCTs were included in this review.…”

Section: Study Characteristics and Populationmentioning

confidence: 99%

“…The total number of patients included in the studies was 201. Patients presented the following conditions: glenohumeral osteoarthritis (GOA) in 33 patients [17,18], SAI in 12 patients [24], scapular dyskinesis in 51 patients [28], and RCTA in 34 patients [27,30]. Moreover, studies included 26 patients who underwent aTSA [17,23,26] and 47 patients who underwent RTSA [19,25,29].…”

Section: Study Characteristics and Populationmentioning

confidence: 99%

“…No RCTs were included in the review. RCCs were identified as low risk of bias studies [28,30] or moderate risk of bias studies [17,23,27]; RCS were overall of good quality [18,19,24,25,29]. The risk of bias assessments for RCTs, NRCTs, and CSs is reported in Figures 2 and 3.…”

Section: Quality Assessmentmentioning

confidence: 99%

“…Markers can be passive, i.e., covered by photo-reflective materials that reflect the infrared light, or active, i.e., emitting infrared light [16]. The 3D kinematic analysis of the shoulder joint using OMCs is highly heterogeneous among studies in terms of marker sets, kinematic model, analyzed functional movements, and reported kinematic outcomes [17][18][19]. In kinematic analysis, two marker sets can be used, an anatomical or cluster marker set [14].…”

Section: Introductionmentioning

confidence: 99%

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Optical Motion Capture Systems for 3D Kinematic Analysis in Patients with Shoulder Disorders

Longo

Salvatore

Carnevale

et al. 2022

IJERPH

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Shoulder dysfunctions represent the third musculoskeletal disorder by frequency. However, monitoring the movement of the shoulder is particularly challenging due to the complexity of the joint kinematics. The 3D kinematic analysis with optical motion capture systems (OMCs) makes it possible to overcome clinical tests’ shortcomings and obtain objective data on the characteristics and quality of movement. This systematic review aims to retrieve the current knowledge about using OMCs for 3D shoulder kinematic analysis in patients with musculoskeletal shoulder disorders and their corresponding clinical relevance. The Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines were used to improve the reporting of the review. Studies employing OMCs for 3D kinematic analysis in patients with musculoskeletal shoulder disorders were retrieved. Eleven articles were considered eligible for this study. OMCs can be considered a powerful tool in orthopedic clinical research. The high costs and organizing complexities of experimental setups are likely outweighed by the impact of these systems in guiding clinical practice and patient follow-up. However, additional high-quality studies on using OMCs in clinical practice are required, with standardized protocols and methodologies to make comparing clinical trials easier.

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