Evidence map›Paper›PMID 31275932›Full record

ArticleFrontiers in bioengineering and biotechnology2019

Analysis and Modeling of Rat Gait Biomechanical Deficits in Response to Volumetric Muscle Loss Injury.

Jack A Dienes, Xiao Hu, Kevin D Janson, Conrad Slater, Emily A Dooley, George J Christ, Shawn D Russell

Abstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2019. 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.

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  4. Tibial bone strength is negatively affected by volumetric muscle loss injury to the adjacent muscle in male mice.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2024
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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

7 authors.

Jack A DienesBiomedical Engineering Department, University of Virginia, Charlottesville, VA, United States.
Xiao HuBiomedical Engineering Department, University of Virginia, Charlottesville, VA, United States.
Kevin D JansonBiomedical Engineering Department, University of Virginia, Charlottesville, VA, United States.
Conrad SlaterBiomedical Engineering Department, University of Virginia, Charlottesville, VA, United States.
Emily A DooleyMechanical and Aerospace Engineering Department, University of Virginia, Charlottesville, VA, United States.
George J ChristBiomedical Engineering Department, University of Virginia, Charlottesville, VA, United States.
Shawn D RussellBiomedical Engineering Department, University of Virginia, Charlottesville, VA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is currently a substantial volume of research underway to develop more effective approaches for the regeneration of functional muscle tissue as treatment for volumetric muscle loss (VML) injury, but few studies have evaluated the relationship between injury and the biomechanics required for normal function. To address this knowledge gap, the goal of this study was to develop a novel method to quantify the changes in gait of rats with tibialis anterior (TA) VML injuries. This method should be sensitive enough to identify biomechanical and kinematic changes in response to injury as well as during recovery. Control rats and rats with surgically-created VML injuries were affixed with motion capture markers on the bony landmarks of the back and hindlimb and were recorded walking on a treadmill both prior to and post-surgery. Data collected from the motion capture system was exported for

Indexed as

biomechanicsgait analysiskinematicsmotion capturemusclevolumetric muscle loss

Identifiers

PMID31275932
PMCPMC6593045

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.