Evidence map›Paper›PMID 34354935›Full record

ReviewWorld journal of orthopedics2021

Technological advancements in the analysis of human motion and posture management through digital devices.

Federico Roggio, Silvia Ravalli, Grazia Maugeri, Antonino Bianco, Antonio Palma, Michelino Di Rosa, Giuseppe Musumeci

Abstract readReview
In one paragraph

Review in World journal of orthopedics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 3 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.

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

44 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  7. Article
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  14. Posture Status Differences Between Preschool Boys and Girls.Journal of functional morphology and kinesiology · 2025
    Article
  15. Article
  16. Article
  17. Article
  18. Effectiveness of Global Postural Reeducation in Postural Changes and Postural Stability in Young Adults.International journal of environmental research and public health · 2025
    Article
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  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

7 authors.

Federico RoggioDepartment of Psychology, Educational Science and Human Movement, University of Palermo, Palermo 90144, Italy.
Silvia RavalliDepartment of Biomedical and Biotechnological Sciences, Human Anatomy and Histology Section, School of Medicine, University of Catania, Catania 95123, Italy.
Grazia MaugeriDepartment of Biomedical and Biotechnological Sciences, Human Anatomy and Histology Section, School of Medicine, University of Catania, Catania 95123, Italy.
Antonino BiancoDepartment of Psychology, Educational Science and Human Movement, University of Palermo, Palermo 90144, Italy.
Antonio PalmaDepartment of Psychology, Educational Science and Human Movement, University of Palermo, Palermo 90144, Italy.
Michelino Di RosaDepartment of Biomedical and Biotechnological Sciences, Human Anatomy and Histology Section, School of Medicine, University of Catania, Catania 95123, Italy.
Giuseppe MusumeciDepartment of Biomedical and Biotechnological Sciences, Human Anatomy and Histology Section, School of Medicine, University of Catania, Catania 95123, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Technological development of motion and posture analyses is rapidly progressing, especially in rehabilitation settings and sport biomechanics. Consequently, clear discrimination among different measurement systems is required to diversify their use as needed. This review aims to resume the currently used motion and posture analysis systems, clarify and suggest the appropriate approaches suitable for specific cases or contexts. The currently gold standard systems of motion analysis, widely used in clinical settings, present several limitations related to marker placement or long procedure time. Fully automated and markerless systems are overcoming these drawbacks for conducting biomechanical studies, especially outside laboratories. Similarly, new posture analysis techniques are emerging, often driven by the need for fast and non-invasive methods to obtain high-precision results. These new technologies have also become effective for children or adolescents with non-specific back pain and postural insufficiencies. The evolutions of these methods aim to standardize measurements and provide manageable tools in clinical practice for the early diagnosis of musculoskeletal pathologies and to monitor daily improvements of each patient. Herein, these devices and their uses are described, providing researchers, clinicians, orthopedics, physical therapists, and sports coaches an effective guide to use new technologies in their practice as instruments of diagnosis, therapy, and prevention.

Indexed as

Gait analysisInertial measurement unitMotion capturePostureRasterstereographyWearable devices

Identifiers

PMID34354935
PMCPMC8316840

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.