Evidence map›Paper›PMID 20376204›Full record

ArticleEURASIP journal on advances in signal processing2010

Toward the development of virtual surgical tools to aid orthopaedic FE analyses.

Srinivas C Tadepalli, Kiran H Shivanna, Vincent A Magnotta, Nicole A Kallemeyn, Nicole M Grosland

Open access · goldAbstract read
In one paragraph

Article in EURASIP journal on advances in signal processing, 2010. 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
1.2field-weighted citation impact, top 19% 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, 8 citations in OpenAlex.

  1. Article
  2. 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

5 authors at 2 institutions in 1 country.

Srinivas C TadepalliDepartment of Biomedical Engineering, 1402 Seamans Center for the Engineering Arts and Sciences, The University of Iowa Iowa City, IA.
Kiran H Shivanna
Vincent A Magnotta
Nicole A Kallemeyn
Nicole M Grosland
University of Iowa · USEngineering Arts (United States) · US

Funding

Integrating Automated Mesh Development into the NA-MIC ToolkitR01EB005973 · NIBIB · UNIVERSITY OF IOWA · PI GROSLAND, NICOLE M · 2006 to 2009
$1.9M
NIBIB NIH HHS R01 EB005973
6 · The paper itself

Abstract

Computational models of joint anatomy and function provide a means for biomechanists, physicians, and physical therapists to understand the effects of repetitive motion, acute injury, and degenerative diseases. Finite element models, for example, may be used to predict the outcome of a surgical intervention or to improve the design of prosthetic implants. Countless models have been developed over the years to address a myriad of orthopaedic procedures. Unfortunately, few studies have incorporated patient-specific models. Historically, baseline anatomic models have been used due to the demands associated with model development. Moreover, surgical simulations impose additional modeling challenges. Current meshing practices do not readily accommodate the inclusion of implants. Our goal is to develop a suite of tools (virtual instruments and guides) which enable surgical procedures to be readily simulated and to facilitate the development of all-hexahedral finite element mesh definitions.

Identifiers

PMID20376204
PMCPMC2850277
OpenAlexW2087605518

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.