Evidence map›Paper›PMID 32903393›Full record

ArticleFrontiers in bioengineering and biotechnology2020

Targeted Achilles Tendon Training and Rehabilitation Using Personalized and Real-Time Multiscale Models of the Neuromusculoskeletal System.

Claudio Pizzolato, Vickie B Shim, David G Lloyd, Daniel Devaprakash, Steven J Obst, Richard Newsham-West, David F Graham, Thor F Besier, Ming Hao Zheng, Rod S Barrett

Abstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Review
  6. Article
  7. Dynamic Load Model Systems of Tendon Inflammation and Mechanobiology.Frontiers in bioengineering and biotechnology · 2022
    Review
  8. Article
  9. 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

10 authors.

Claudio PizzolatoSchool of Allied Health Sciences, Griffith University, Gold Coast, QLD, Australia.
Vickie B ShimSchool of Allied Health Sciences, Griffith University, Gold Coast, QLD, Australia.
David G LloydSchool of Allied Health Sciences, Griffith University, Gold Coast, QLD, Australia.
Daniel DevaprakashSchool of Allied Health Sciences, Griffith University, Gold Coast, QLD, Australia.
Steven J ObstSchool of Allied Health Sciences, Griffith University, Gold Coast, QLD, Australia.
Richard Newsham-WestSchool of Allied Health Sciences, Griffith University, Gold Coast, QLD, Australia.
David F GrahamSchool of Allied Health Sciences, Griffith University, Gold Coast, QLD, Australia.
Thor F BesierAuckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand.
Ming Hao ZhengCentre for Orthopaedic Translational Research, School of Surgery, The University of Western Australia, Nedlands, WA, Australia.
Rod S BarrettSchool 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, including tendons, are sensitive to their mechanical environment, with both excessive and insufficient loading resulting in reduced tissue strength. Tendons appear to be particularly sensitive to mechanical strain magnitude, and there appears to be an optimal range of tendon strain that results in the greatest positive tendon adaptation. At present, there are no tools that allow localized tendon strain to be measured or estimated in training or a clinical environment. In this paper, we first review the current literature regarding Achilles tendon adaptation, providing an overview of the individual technologies that so far have been used in isolation to understand

Indexed as

Achilles tendonadaptationbiomechanicsmechanobiologystrain

Identifiers

PMID32903393
PMCPMC7434842

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.