Evidence map›Paper›PMID 31731893›Full record

SynthesisBMC musculoskeletal disorders2019

Wearable systems for shoulder kinematics assessment: a systematic review.

Arianna Carnevale, Umile Giuseppe Longo, Emiliano Schena, Carlo Massaroni, Daniela Lo Presti, Alessandra Berton, Vincenzo Candela, Vincenzo Denaro

Registry-linked trialAbstract readSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in BMC musculoskeletal disorders, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06026137 (Use of the Efisiotrack System for Monitoring Prescribed Therapeutic Exercises in Patients With Shoulder Orthopedic Injuries in a Hospital Setting), which is not on this map. Cited by 55 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 10 pooled it
–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.

NCT06026137 naunknown statusnot on this mapstarted 2023, after this paper: background citation

Use of the Efisiotrack System for Monitoring Prescribed Therapeutic Exercises in Patients With Shoulder Orthopedic Injuries in a Hospital Setting: a Pilot Feasibility Study

TypeinterventionalSponsorUniversidad Miguel Hernandez de ElcheRan2023 to 2023Enrolled10ConditionsShoulder InjuriesArmseFisioTrack Group, Excercises Group
3 · Its place in the literature

Who cites it

55 citing papers in PubMed, 10 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Optical Motion Capture Systems for 3D Kinematic Analysis in Patients with Shoulder Disorders.International journal of environmental research and public health · 2022
    Pooled it
  6. Pooled it
  7. Pooled it
  8. Pooled it
  9. Pooled it
  10. Pooled it
  11. Review
  12. Article
  13. Review
  14. Article
  15. Review
  16. Scapular dyskinesis is common among asymptomatic European basketball players at the professional level.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2025
    Article
  17. Digitally assistedWorld journal of clinical cases · 2025
    Article
  18. Article
  19. Article
  20. 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.

Arianna CarnevaleDepartment of Orthopaedic and Trauma Surgery, Campus Bio-Medico University, Via Álvaro del Portillo, 200, 00128, Rome, Italy.
Umile Giuseppe LongoDepartment of Orthopaedic and Trauma Surgery, Campus Bio-Medico University, Via Álvaro del Portillo, 200, 00128, Rome, Italy. g.longo@unicampus.it.ORCID http://orcid.org/0000-0003-4063-9821
Emiliano SchenaUnit of Measurements and Biomedical Instrumentation, Campus Bio-Medico University, Via Álvaro del Portillo, 21, 00128, Rome, Italy.
Carlo MassaroniUnit of Measurements and Biomedical Instrumentation, Campus Bio-Medico University, Via Álvaro del Portillo, 21, 00128, Rome, Italy.
Daniela Lo PrestiUnit of Measurements and Biomedical Instrumentation, Campus Bio-Medico University, Via Álvaro del Portillo, 21, 00128, Rome, Italy.
Alessandra BertonDepartment of Orthopaedic and Trauma Surgery, Campus Bio-Medico University, Via Álvaro del Portillo, 200, 00128, Rome, Italy.
Vincenzo CandelaDepartment of Orthopaedic and Trauma Surgery, Campus Bio-Medico University, Via Álvaro del Portillo, 200, 00128, Rome, Italy.
Vincenzo DenaroDepartment of Orthopaedic and Trauma Surgery, Campus Bio-Medico University, Via Álvaro del Portillo, 200, 00128, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWearable sensors are acquiring more and more influence in diagnostic and rehabilitation field to assess motor abilities of people with neurological or musculoskeletal impairments. The aim of this systematic literature review is to analyze the wearable systems for monitoring shoulder kinematics and their applicability in clinical settings and rehabilitation.

methodsA comprehensive search of PubMed, Medline, Google Scholar and IEEE Xplore was performed and results were included up to July 2019. All studies concerning wearable sensors to assess shoulder kinematics were retrieved.

resultsSeventy-three studies were included because they have fulfilled the inclusion criteria. The results showed that magneto and/or inertial sensors are the most used. Wearable sensors measuring upper limb and/or shoulder kinematics have been proposed to be applied in patients with different pathological conditions such as stroke, multiple sclerosis, osteoarthritis, rotator cuff tear. Sensors placement and method of attachment were broadly heterogeneous among the examined studies.

conclusionsWearable systems are a promising solution to provide quantitative and meaningful clinical information about progress in a rehabilitation pathway and to extrapolate meaningful parameters in the diagnosis of shoulder pathologies. There is a strong need for development of this novel technologies which undeniably serves in shoulder evaluation and therapy.

Indexed as

Smart MaterialsWearable Electronic DevicesAdolescentAdultAgedBiomechanical PhenomenaEquipment DesignFemaleHumansMaleMiddle AgedMonitoring, AmbulatoryMusculoskeletal DiseasesNervous System DiseasesPredictive Value of TestsPrognosisSmart MaterialsInertial sensorsShoulder kinematicsSmart textileUpper limbWearable system

Identifiers

PMID31731893
PMCPMC6858749

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.