Evidence map›Paper›PMID 40581874›Full record

ArticleJournal of foot and ankle research2025

Examining Foot Shape Variations in Individuals With and Without Diabetes.

Sarah L Hemler, Robert W Schuster, A-V Behling, Z Pataky, L A Kelly

Abstract read
In one paragraph

Article in Journal of foot and ankle research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Sarah L HemlerFaculty of Medicine, University of Geneva, Geneva, Switzerland.ORCID https://orcid.org/0000-0002-0436-5256
Robert W SchusterSchool of Human Movement & Nutrition Sciences, The University of Queensland, Brisbane, Australia.ORCID https://orcid.org/0000-0003-1738-7136
A-V BehlingSchool of Human Movement & Nutrition Sciences, The University of Queensland, Brisbane, Australia.ORCID https://orcid.org/0000-0003-0844-4143
Z PatakyFaculty of Medicine, University of Geneva, Geneva, Switzerland.ORCID https://orcid.org/0000-0002-8720-3833
L A KellySchool of Human Movement & Nutrition Sciences, The University of Queensland, Brisbane, Australia.ORCID https://orcid.org/0000-0002-9736-0517

Funding

International Society of Regulatory Toxicology and PharmacologySchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung 181020
6 · The paper itself

Abstract

For people with diabetes, a good-fitting shoe is essential for reducing the risk of ulcers and eventual amputation. However, there is a lack of 3D data explaining differences in foot shape between people with and without diabetes and how individual factors might influence these differences; these data are vital for adequate shoe design and prevention of diabetic foot ulcers. This study quantifies the differences in external foot shapes of people with and without diabetes and peripheral neuropathy and examines which factors might affect these variations. One-hundred thirty-six foot scans of older adults with and without diabetes and peripheral neuropathy were used to create and assess foot shape models against demographic and health factors. Principal component analysis (PCA) showed that the feet of people with diabetes and with neuropathy are not necessarily clustered into a particular foot shape but have more pronounced features in specific foot variations (e.g., ankle width, arch height, hallux abduction, and edema vs. atrophic feet) compared to people without diabetes and neuropathy. The mean pairwise distance (intrascore spread) in PC1 and PC2 for individuals with diabetes and neuropathy was 43% larger than for those without diabetes and neuropathy and 24% larger than for those with neuropathy but no diabetes. Partial least squares regression (PLSR) showed potential predicting the presence of diabetes and neuropathy; however, additional data are required to support the trend. Analyses, such as PCA and PLSR, could be useful for determining how to quantify these changes to design more appropriate footwear for these populations.

Indexed as

Diabetes MellitusDiabetic FootFootAgedAged, 80 and overDiabetic NeuropathiesFemaleHumansImaging, Three-DimensionalLeast-Squares AnalysisMaleMiddle AgedPrincipal Component AnalysisShoesdiabetic footperipheral neuropathyshoe fitstatistical shape modeling

Identifiers

PMID40581874
PMCPMC12206372

What OpenQuestion holds

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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.