Evidence map›Paper›PMID 30308434›Full record

ArticleClinical biomechanics (Bristol, Avon)2018

Modeling a rotator cuff tear: Individualized shoulder muscle forces influence glenohumeral joint contact force predictions.

Meghan E Vidt, Anthony C Santago, Anthony P Marsh, Eric J Hegedus, Christopher J Tuohy, Gary G Poehling, Michael T Freehill, Michael E Miller, Katherine R Saul

Abstract read
In one paragraph

Article in Clinical biomechanics (Bristol, Avon), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
3.1field-weighted citation impact, top 9% 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

22 citing papers in PubMed, 39 citations in OpenAlex.

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  17. Experimentally quantifying the feasible torque space of the human shoulder.Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology · 2022
    Article
  18. Muscle compensation strategies to maintain glenohumeral joint stability with increased rotator cuff tear severity: A simulation study.Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology · 2022
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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

9 authors at 5 institutions in 1 country.

Meghan E VidtVirginia Tech-Wake Forest School of Biomedical Engineering and Sciences, Wake Forest Baptist Health, Biomedical Engineering, Medical Center Boulevard, Winston-Salem, NC 27157, USA. Electronic address: mzv130@psu.edu.
Anthony C SantagoVirginia Tech-Wake Forest School of Biomedical Engineering and Sciences, Wake Forest Baptist Health, Biomedical Engineering, Medical Center Boulevard, Winston-Salem, NC 27157, USA.
Anthony P MarshDepartment of Health and Exercise Science, Wake Forest University, PO Box 7868, Winston-Salem, NC 27109, USA.
Eric J HegedusDepartment of Physical Therapy, High Point University, One University Parkway, High Point, NC 27268, USA.
Christopher J TuohyDepartment of Orthopaedic Surgery, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157, USA.
Gary G PoehlingDepartment of Orthopaedic Surgery, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157, USA.
Michael T FreehillDepartment of Orthopaedic Surgery, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157, USA.
Michael E MillerDepartment of Biostatistical Sciences, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157, USA.
Katherine R SaulDepartment of Mechanical and Aerospace Engineering, North Carolina State University, Engineering Building 3, Campus Box 7910, 911 Oval Drive, Raleigh, NC 27695-7910, USA.
Wake Forest University · USAtrium Health Wake Forest Baptist · USHigh Point University · USNorth Carolina State University · USVirginia Tech · US

Funding

Wake Forest Claude D. Pepper OAIC - RenewalP30AG021332 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI Denise Kathryn Houston · 2002 to 2026
$36.4M
Muscle function and compensation following rotator cuff tear in older adultsF31AG040921 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI VIDT, MEGHAN ELISE · 2012 to 2013
$83k
NIA NIH HHS F31 AG040921NIA NIH HHS P30 AG021332
6 · The paper itself

Abstract

backgroundRotator cuff tears in older individuals may result in decreased muscle forces and changes to force distribution across the glenohumeral joint. Reduced muscle forces may impact functional task performance, altering glenohumeral joint contact forces, potentially contributing to instability or joint damage risk. Our objective was to evaluate the influence of rotator cuff muscle force distribution on glenohumeral joint contact force during functional pull and axilla wash tasks using individualized computational models.

methodsFourteen older individuals (age 63.4 yrs. (SD 1.8)) were studied; 7 with rotator cuff tear, 7 matched controls. Muscle volume measurements were used to scale a nominal upper limb model's muscle forces to develop individualized models and perform dynamic simulations of movement tracking participant-derived kinematics. Peak resultant glenohumeral joint contact force, and direction and magnitude of force components were compared between groups using ANCOVA.

findingsResults show individualized muscle force distributions for rotator cuff tear participants had reduced peak resultant joint contact force for pull and axilla wash (P ≤ 0.0456), with smaller compressive components of peak resultant force for pull (P = 0.0248). Peak forces for pull were within the glenoid. For axilla wash, peak joint contact was directed near/outside the glenoid rim for three participants; predictions required individualized muscle forces since nominal muscle forces did not affect joint force location.

interpretationOlder adults with rotator cuff tear had smaller peak resultant and compressive forces, possibly indicating increased instability or secondary joint damage risk. Outcomes suggest predicted joint contact force following rotator cuff tear is sensitive to including individualized muscle forces.

Indexed as

Computer SimulationAgedBiomechanical PhenomenaFemaleHumansMaleMiddle AgedRotator CuffRotator Cuff InjuriesShoulder JointComputational modelGlenohumeralKinematicsMuscle forcesOlder adultRotator cuff

Identifiers

PMID30308434
PMCPMC6252115
OpenAlexW2894923123

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.