Evidence map›Paper›PMID 36569759›Full record

ReviewFrontiers in physiology2022

Toward improved understanding of foot shape, foot posture, and foot biomechanics during running: A narrative review.

Qichang Mei, Hyun Kyung Kim, Liangliang Xiang, Vickie Shim, Alan Wang, Julien S Baker, Yaodong Gu, Justin Fernandez

Abstract readReview
In one paragraph

Review in Frontiers in physiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

8 authors.

Qichang MeiFaculty of Sports Science, Ningbo University, Ningbo, China.
Hyun Kyung KimSchool of Kinesiology, Louisiana State University, Baton Rouge, LA, United States.
Liangliang XiangFaculty of Sports Science, Ningbo University, Ningbo, China.
Vickie ShimAuckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand.
Alan WangAuckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand.
Julien S BakerCentre for Health and Exercise Science Research, Hong Kong Baptist University, Kowloon, Hong Kong SAR, China.
Yaodong GuFaculty of Sports Science, Ningbo University, Ningbo, China.
Justin FernandezFaculty of Sports Science, Ningbo University, Ningbo, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current narrative review has explored known associations between foot shape, foot posture, and foot conditions during running. The artificial intelligence was found to be a useful metric of foot posture but was less useful in developing and obese individuals. Care should be taken when using the foot posture index to associate pronation with injury risk, and the Achilles tendon and longitudinal arch angles are required to elucidate the risk. The statistical shape modeling (SSM) may derive learnt information from population-based inference and fill in missing data from personalized information. Bone shapes and tissue morphology have been associated with pathology, gender, age, and height and may develop rapid population-specific foot classifiers. Based on this review, future studies are suggested for 1) tracking the internal multi-segmental foot motion and mapping the biplanar 2D motion to 3D shape motion using the SSM; 2) implementing multivariate machine learning or convolutional neural network to address nonlinear correlations in foot mechanics with shape or posture; 3) standardizing wearable data for rapid prediction of instant mechanics, load accumulation, injury risks and adaptation in foot tissue and bones, and correlation with shapes; 4) analyzing dynamic shape and posture

Indexed as

foot biomechanicsfoot posturefoot shapeprincipal component analysisstatistical shape modeling

Identifiers

PMID36569759
PMCPMC9773215

What OpenQuestion holds

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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.