Evidence map›Paper›PMID 35004656›Full record

ArticleFrontiers in bioengineering and biotechnology2021

Predicting Forefoot-Orthosis Interactions in Rheumatoid Arthritis Using Computational Modelling.

Emily S Kelly, Peter R Worsley, Catherine J Bowen, Lindsey S Cherry, Bethany E Keenan, Christopher J Edwards, Neil O'Brien, Leonard King, Alex S Dickinson

Open access · goldAbstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 34% of its field
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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. A Review of Image-Based Simulation Applications in High-Value Manufacturing.Archives of computational methods in engineering : state of the art reviews · 2023
    Review
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

9 authors at 3 institutions in 1 country.

Emily S KellySchool of Engineering, Faculty of Engineering and Physical Sciences, University of Southampton, Southampton, United Kingdom.
Peter R WorsleySchool of Health Sciences, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, United Kingdom.
Catherine J BowenSchool of Health Sciences, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, United Kingdom.
Lindsey S CherrySchool of Health Sciences, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, United Kingdom.
Bethany E KeenanCardiff School of Engineering and Cardiff University Brain Research Imaging Centre, Cardiff University, Cardiff, United Kingdom.
Christopher J EdwardsUniversity Hospital Southampton NHS Foundation Trust, Southampton, United Kingdom.
Neil O'BrienUniversity Hospital Southampton NHS Foundation Trust, Southampton, United Kingdom.
Leonard KingUniversity Hospital Southampton NHS Foundation Trust, Southampton, United Kingdom.
Alex S DickinsonSchool of Engineering, Faculty of Engineering and Physical Sciences, University of Southampton, Southampton, United Kingdom.
University of Southampton · GBUniversity Hospital Southampton NHS Foundation Trust · GBCardiff University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Foot orthoses are prescribed to reduce forefoot plantar pressures and pain in people with rheumatoid arthritis. Computational modelling can assess how the orthoses affect internal tissue stresses, but previous studies have focused on a single healthy individual. This study aimed to ascertain whether simplified forefoot models would produce differing biomechanical predictions at the orthotic interface between people with rheumatoid arthritis of varying severity, and in comparison to a healthy control. The forefoot models were developed from magnetic resonance data of 13 participants with rheumatoid arthritis and one healthy individual. Measurements of bony morphology and soft tissue thickness were taken to assess deformity. These were compared to model predictions (99th% shear strain and plantar pressure, max. pressure gradient, volume of soft tissue over 10% shear strain), alongside clinical data including body mass index and Leeds Foot Impact Scale-Impairment/Footwear score (LFIS-IF). The predicted pressure and shear strain for the healthy participant fell at the lower end of the rheumatoid models' range. Medial first metatarsal head curvature moderately correlated to all model predicted outcomes (0.529 <

Indexed as

computational modelingdeep tissue injuryFEAfootfoot orthosistissue strain

Identifiers

PMID35004656
PMCPMC8733946
OpenAlexW4200320039

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.