Evidence map›Paper›PMID 35819977›Full record

ArticleJournal of anatomy2022

Spherical frame projections for visualising joint range of motion, and a complementary method to capture mobility data.

Eva C Herbst, Enrico A Eberhard, John R Hutchinson, Christopher T Richards

Abstract read
In one paragraph

Article in Journal of anatomy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

4 authors.

Eva C HerbstPalaeontological Institute and Museum, University of Zurich, Zurich, Switzerland.ORCID 0000-0003-3640-9695
Enrico A EberhardStructure and Motion Laboratory, Royal Veterinary College, London, UK.
John R HutchinsonStructure and Motion Laboratory, Royal Veterinary College, London, UK.ORCID 0000-0002-6767-7038
Christopher T RichardsStructure and Motion Laboratory, Royal Veterinary College, London, UK.ORCID 0000-0002-1908-3577

Funding

European Research Council Starting Grant PIPA338271Natural Environment Research Council NE/K004751/1
6 · The paper itself

Abstract

Quantifying joint range of motion (RoM), the reachable poses at a joint, has many applications in research and clinical care. Joint RoM measurements can be used to investigate the link between form and function in extant and extinct animals, to diagnose musculoskeletal disorders and injuries or monitor rehabilitation progress. However, it is difficult to visually demonstrate how the rotations of the joint axes interact to produce joint positions. Here, we introduce the spherical frame projection (SFP), which is a novel 3D visualisation technique, paired with a complementary data collection approach. SFP visualisations are intuitive to interpret in relation to the joint anatomy because they 'trace' the motion of the coordinate system of the distal bone at a joint relative to the proximal bone. Furthermore, SFP visualisations incorporate the interactions of degrees of freedom, which is imperative to capture the full joint RoM. For the collection of such joint RoM data, we designed a rig using conventional motion capture systems, including live audio-visual feedback on torques and sampled poses. Thus, we propose that our visualisation and data collection approach can be adapted for wide use in the study of joint function.

Indexed as

MovementAnimalsBiomechanical PhenomenaRange of Motion, Articularjoint mobilitymovement visualisationrange of motionspherical frame projection

Identifiers

PMID35819977
PMCPMC9482700

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.