Evidence map›Paper›PMID 36822689›Full record

ReviewFoot and ankle clinics2023

Biomechanical Insights Afforded by Shape Modeling in the Foot and Ankle.

Amy L Lenz, Rich J Lisonbee

Abstract readReview
In one paragraph

Review in Foot and ankle clinics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
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  11. Morphology of the scaphotrapeziotrapezoid joint: A multi-domain statistical shape modeling approach.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2024
    Article
  12. Article
  13. Description of anatomical differences in 3D bone morphology between female individuals with progressive collapsing foot deformity and asymptomatic controls.The Journal of foot and ankle surgery : official publication of the American College of Foot and Ankle Surgeons
    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

2 authors.

Amy L LenzDepartment of Orthopaedics, University of Utah, 590 Wakara Way, Salt Lake City, UT 84108, USA. Electronic address: amy.lenz@utah.edu.
Rich J LisonbeeDepartment of Orthopaedics, University of Utah, 590 Wakara Way, Salt Lake City, UT 84108, USA.

Funding

Classification of Ankle Osteoarthritis Severity from Weightbearing Computed Tomography Using Statistical Shape Modeling and Machine LearningK01AR080221 · NIAMS · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Amy L. Lenz · 2022 to 2026
$707k
NIAMS NIH HHS K01 AR080221
6 · The paper itself

Abstract

Advancements in volumetric imaging makes it possible to generate high-resolution three-dimensional reconstructions of bones in throughout the foot and ankle. The use of weightbearing computed tomography allows for the analysis of joint relationships in a consistent natural position that can be used for statistical shape modeling. Using statistical shape modeling, a population-based statistical model is created that can be used to compare mean bone shape morphology and identify anatomical modes of variation. A review is presented to highlight the current work using statistical shape modeling in the foot and ankle with a future view of the impact on clinical care.

Indexed as

AnkleAnkle JointBiomechanical PhenomenaHumansTomography, X-Ray ComputedWeight-BearingAnatomyFoot and ankleImagingMorphologyMorphometricsStatistical shape modelingThree-dimensional

Identifiers

PMID36822689
PMCPMC10362888

What OpenQuestion holds

Textmetadata
LicenceTDM
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.