Evidence map›Paper›PMID 33969521›Full record

ArticleJournal of orthopaedic research : official publication of the Orthopaedic Research Society2022

Skeletal muscle cellular contractile dysfunction after anterior cruciate ligament reconstruction contributes to quadriceps weakness at 6-month follow-up.

Timothy W Tourville, Thomas B Voigt, Rebecca H Choquette, Mathew J Failla, Nathan K Endres, James R Slauterbeck, Bruce D Beynnon, Michael J Toth

Open access · bronzeAbstract read
In one paragraph

Article in Journal of orthopaedic research : official publication of the Orthopaedic Research Society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Quadriceps Morphology 6- to 60-Months After Anterior Cruciate Ligament Tear.Scandinavian journal of medicine & science in sports · 2025
    Article
  5. Article
  6. Review
  7. Article
  8. 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

8 authors at 1 institution in 1 country.

Timothy W TourvilleDepartment of Rehabilitation and Movement Science, University of Vermont, Burlington, Vermont, USA.ORCID 0000-0002-6087-6894
Thomas B VoigtDepartments of Medicine, University of Vermont, Burlington, Vermont, USA.
Rebecca H ChoquetteDepartment of Orthopaedics and Rehabilitation, University of Vermont, Burlington, Vermont, USA.
Mathew J FaillaDepartment of Rehabilitation and Movement Science, University of Vermont, Burlington, Vermont, USA.
Nathan K EndresDepartment of Orthopaedics and Rehabilitation, University of Vermont, Burlington, Vermont, USA.
James R SlauterbeckDepartment of Orthopaedics and Rehabilitation, University of Vermont, Burlington, Vermont, USA.
Bruce D BeynnonDepartment of Orthopaedics and Rehabilitation, University of Vermont, Burlington, Vermont, USA.ORCID 0000-0002-1205-3674
Michael J TothDepartment of Orthopaedics and Rehabilitation, University of Vermont, Burlington, Vermont, USA.
University of Vermont · US

Funding

Prognostic Study of the Risk Factors for Contralateral ACL InjuryR01AR050421 · NIAMS · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI BEYNNON, BRUCE · 2007 to 2022
$4.7M
Skeletal Muscle Size and Function after ACL Rupture: Predictors of OA ProgressionK08AR066729 · NIAMS · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI TOURVILLE, TIMOTHY WARD · 2015 to 2018
$699k
Prevention of Skeletal Muscle Adaptations to Traumatic Knee Injury and SurgeryR21AR069199 · NIAMS · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI BEYNNON, BRUCE, TOTH, MICHAEL J · 2016 to 2017
$376k
NIAMS NIH HHS K08 AR066729NIAMS NIH HHS R01 AR050421NIAMS NIH HHS R21 AR069199
6 · The paper itself

Abstract

Muscle dysfunction following anterior cruciate ligament reconstruction (ACLR) may evolve from alterations in muscle contractility at the myofilament protein level. Using a prospective, within-subject case-control design, we evaluated cellular-level contractility, cross-sectional area (CSA), and myosin heavy chain (MHC) isoform expression on single muscle fibers 3 weeks post ACLR, and evaluated their relationship to whole muscle strength and patient-oriented outcomes 6 months post operation. Biopsies of the vastus lateralis were performed 3 weeks post ACLR in 11 subjects (5 females, mean age ± SD = 24.7 ± 6.5 years, height = 172.7 ± 8.2 cm, mass = 75.7 ± 12.5 kg) following first-time ACL rupture and whole muscle strength and self-reported pain, function, and quality of life assessed 6 months post ACLR. At 3 weeks post ACLR, force production was reduced (p < 0.01) in MHC I (-36%) and IIA (-48%) fibers compared with the non-injured leg. When force production was expressed relative to CSA to account for fiber atrophy, reductions remained in MHC IIA fibers (-40%; p < 0.001), but MHC I fibers showed only a trend toward being lower (-13%; p = 0.09). Finally, skeletal muscle fiber functional deficits at 3 weeks post ACLR were associated with whole muscle weakness and less favorable patient-reported outcomes at 6-month follow-up. Thus, ACLR promotes early cellular contractile dysfunction that may contribute to decreased whole muscle strength and patient function, and increased patient-reported symptoms, at 6-month follow-up.

Indexed as

Anterior Cruciate Ligament InjuriesAnterior Cruciate Ligament ReconstructionFemaleFollow-Up StudiesHumansMaleMuscle Fibers, SkeletalMuscle StrengthProspective StudiesQuadriceps MuscleQuality of Lifeknee/ACLmuscle physiologyposttraumatic osteoarthritisstrength loss

Identifiers

PMID33969521
PMCPMC8578585
OpenAlexW3163143425

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.