Evidence map›Paper›PMID 36653365›Full record

ArticleScientific data2023

Three Dimensional Lower Extremity Musculoskeletal Geometry of the Visible Human Female and Male.

Thor E Andreassen, Donald R Hume, Landon D Hamilton, Karen E Walker, Sean E Higinbotham, Kevin B Shelburne

Abstract readDataset
In one paragraph

Article in Scientific data, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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

6 authors.

Thor E AndreassenUniversity of Denver, Center for Orthopaedic Biomechanics, Denver, CO, USA.ORCID 0000-0002-9787-7890
Donald R HumeUniversity of Denver, Center for Orthopaedic Biomechanics, Denver, CO, USA.
Landon D HamiltonUniversity of Denver, Center for Orthopaedic Biomechanics, Denver, CO, USA.
Karen E WalkerUniversity of Denver, Center for Orthopaedic Biomechanics, Denver, CO, USA.
Sean E HiginbothamUniversity of Denver, Center for Orthopaedic Biomechanics, Denver, CO, USA.
Kevin B ShelburneUniversity of Denver, Center for Orthopaedic Biomechanics, Denver, CO, USA. kevin.shelburne@du.edu.ORCID 0000-0003-3377-2712

Funding

A Lower Extremity Neuromusculoskeletal Human Simulator: Addressing Multiscale ChallengesU01AR072989 · NIAMS · UNIVERSITY OF DENVER (COLORADO SEMINARY) · PI SHELBURNE, KEVIN B · 2018 to 2021
$1.9M
U.S. Department of Health & Human Services | NIH | Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) U01AR072989U.S. Department of Health & Human Services | NIH | National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS) U01AR072989U.S. Department of Health & Human Services | NIH | National Institute of Biomedical Imaging and Bioengineering (NIBIB) U01AR072989
6 · The paper itself

Abstract

Models and simulations of human function impact medicine and medical technology. Particularly, musculoskeletal modeling provides an avenue for insight into the human body, which might not be otherwise possible. However, reaching the ultimate goal of functional multi-scale human models has been slowed by the lack of freely available datasets of anatomical models and geometries. Moreover, female-specific geometries have been neglected with a widespread emphasis on male geometry. To help realize this goal, we have developed and shared complete three-dimensional musculoskeletal geometries extracted from the National Libraries of Medicine Visible Human Female and Male cryosections. Muscle, bone, cartilage, ligament, and fat from the pelvis to the ankle were digitized and exported. These geometries provide a foundation for continued work in human musculoskeletal simulation with high-fidelity deformable tissues that enable a better understanding of normal function and the evaluation of pathologies and treatments. This work is novel as it includes both the male and female Visible Human specimens, outputs at multiple levels of post-processing for maximum data reuse, and is publicly available.

Indexed as

Lower ExtremityBone and BonesComputer SimulationFemaleHumansMale

Identifiers

PMID36653365
PMCPMC9849470

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.