Evidence map›Paper›PMID 37989027›Full record

ArticleJournal of biomechanics2024

Individuals with rotator cuff tears unsuccessfully treated with exercise therapy have less inferiorly oriented net muscle forces during scapular plane abduction.

Luke T Mattar, Arash B Mahboobin, Adam J Popchak, William J Anderst, Volker Musahl, James J Irrgang, Richard E Debski

Open access · greenAbstract read
In one paragraph

Article in Journal of biomechanics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 36% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 1 institution in 1 country.

Luke T MattarOrthopaedic Robotics Laboratory, University of Pittsburgh, United States; UPMC Freddie Fu Sports Medicine Center, Department of Orthopaedic Surgery, University of Pittsburgh, Pittsburgh, United States.
Arash B MahboobinDepartment of Bioengineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, United States.
Adam J PopchakDepartment of Physical Therapy, University of Pittsburgh, Pittsburgh, United States.
William J AnderstBiodynamics Laboratory, University of Pittsburgh, United States; UPMC Freddie Fu Sports Medicine Center, Department of Orthopaedic Surgery, University of Pittsburgh, Pittsburgh, United States.
Volker MusahlOrthopaedic Robotics Laboratory, University of Pittsburgh, United States; Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, United States; UPMC Freddie Fu Sports Medicine Center, Department of Orthopaedic Surgery, University of Pittsburgh, Pittsburgh, United States.
James J IrrgangUPMC Freddie Fu Sports Medicine Center, Department of Orthopaedic Surgery, University of Pittsburgh, Pittsburgh, United States; Department of Physical Therapy, University of Pittsburgh, Pittsburgh, United States.
Richard E DebskiOrthopaedic Robotics Laboratory, University of Pittsburgh, United States; Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, United States; UPMC Freddie Fu Sports Medicine Center, Department of Orthopaedic Surgery, University of Pittsburgh, Pittsburgh, United States. Electronic address: genesis1@pitt.edu.
University of Pittsburgh · US

Funding

Predicting the Outcome of Exercise Therapy for Treatment of Rotator Cuff TearsR01AR069503 · NIAMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Richard E Debski, JAMES JOHN IRRGANG · 2016 to 2026
$5.3M
NIAMS NIH HHS R01 AR069503
6 · The paper itself

Abstract

Exercise therapy for individuals with rotator cuff tears fails in approximately 25.0 % of cases. One reason for failure of exercise therapy may be the inability to strengthen and balance the muscle forces crossing the glenohumeral joint that act to center the humeral head on the glenoid. The objective of the current study was to compare the magnitude and orientation of the net muscle force pre- and post-exercise therapy between subjects successfully and unsuccessfully (e.g. eventually underwent surgery) treated with a 12-week individualized exercise therapy program. Twelve computational musculoskeletal models (n = 6 successful, n = 6 unsuccessful) were developed in OpenSim (v4.0) that incorporated subject specific tear characteristics, muscle peak isometric force, in-vivo kinematics and bony morphology. The models were driven with experimental kinematics and the magnitude and orientation of the net muscle force was determined during scapular plane abduction at pre- and post-exercise therapy timepoints. Subjects unsuccessfully treated had less inferiorly oriented net muscle forces pre- and post-exercise therapy compared to subjects successfully treated (p = 0.039 & 0.045, respectively). No differences were observed in the magnitude of the net muscle force (p > 0.05). The current study developed novel computational musculoskeletal models with subject specific inputs capable of distinguishing between subjects successfully and unsuccessfully treated with exercise therapy. A less inferiorly oriented net muscle force in subjects unsuccessfully treated may increase the risk of superior migration leading to impingement. Adjustments to exercise therapy programs may be warranted to avoid surgery in subjects at risk of unsuccessful treatment.

Indexed as

Rotator Cuff InjuriesShoulder JointBiomechanical PhenomenaExercise TherapyHumansRange of Motion, ArticularRotator CuffScapulaComputational modelingKinematicsMuscle forceRotator cuffShoulder

Identifiers

PMID37989027
PMCPMC10843663
OpenAlexW4388486564

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.