Evidence map›Paper›PMID 29093676›Full record

ReviewFrontiers in computational neuroscience2017

Bioinspired Technologies to Connect Musculoskeletal Mechanobiology to the Person for Training and Rehabilitation.

Claudio Pizzolato, David G Lloyd, Rod S Barrett, Jill L Cook, Ming H Zheng, Thor F Besier, David J Saxby

Abstract readReview
In one paragraph

Review in Frontiers in computational neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Gait Mechanics in Women of the ACL-SPORTS Randomized Control Trial: Interlimb Symmetry Improves Over Time Regardless of Treatment Group.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2019
    Trial
  3. Gait mechanics and tibiofemoral loading in men of the ACL-SPORTS randomized control trial.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2018
    Trial
  4. Review
  5. Implantable biosensors for musculoskeletal health.Connective tissue research · 2022
    Review
  6. Article
  7. Article
  8. Can genetics guide exercise prescriptions in osteoarthritis?Frontiers in rehabilitation sciences · 2022
    Article
  9. Sex and mechanism of injury influence knee joint loading symmetry during gait 6 months after ACLR.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2021
    Article
  10. Article
  11. Article
  12. Editorial: Neuromechanics of Hip Osteoarthritis.Frontiers in sports and active living · 2021
    Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. 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.

Claudio PizzolatoSchool of Allied Health Sciences, Griffith University, Gold Coast, QLD, Australia.
David G LloydSchool of Allied Health Sciences, Griffith University, Gold Coast, QLD, Australia.
Rod S BarrettSchool of Allied Health Sciences, Griffith University, Gold Coast, QLD, Australia.
Jill L CookLa Trobe Sport and Exercise Medicine Research Centre, La Trobe University, Melbourne, VIC, Australia.
Ming H ZhengCentre for Orthopaedic Translational Research, School of Surgery, University of Western Australia, Nedlands, WA, Australia.
Thor F BesierAuckland Bioengineering Institute and Department of Engineering Science, University of Auckland, Auckland, New Zealand.
David J SaxbySchool of Allied Health Sciences, Griffith University, Gold Coast, QLD, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Musculoskeletal tissues respond to optimal mechanical signals (e.g., strains) through anabolic adaptations, while mechanical signals above and below optimal levels cause tissue catabolism. If an individual's physical behavior could be altered to generate optimal mechanical signaling to musculoskeletal tissues, then targeted strengthening and/or repair would be possible. We propose new bioinspired technologies to provide real-time biofeedback of relevant mechanical signals to guide training and rehabilitation. In this review we provide a description of how wearable devices may be used in conjunction with computational rigid-body and continuum models of musculoskeletal tissues to produce real-time estimates of localized tissue stresses and strains. It is proposed that these bioinspired technologies will facilitate a new approach to physical training that promotes tissue strengthening and/or repair through optimal tissue loading.

Indexed as

biofeedbackbiomechanicsmechanobiologymodelingtissue strainwearable devices

Identifiers

PMID29093676
PMCPMC5651250

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.