Evidence map›Paper›PMID 22061048›Full record

Trial reportClinical biomechanics (Bristol, Avon)2012

The effects of neuromuscular training on the gait patterns of ACL-deficient men and women.

Stephanie L Di Stasi, Lynn Snyder-Mackler

Abstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Clinical biomechanics (Bristol, Avon), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 4 pooled it
2.7field-weighted citation impact, top 11% 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

50 citing papers in PubMed, 4 syntheses or guidelines pooled it, 83 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Gait Mechanics in Women of the ACL-SPORTS Randomized Control Trial: Interlimb Symmetry Improves Over Time Regardless of Treatment Group.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2019
    Trial
  6. Gait mechanics and tibiofemoral loading in men of the ACL-SPORTS randomized control trial.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2018
    Trial
  7. Trial
  8. Trial
  9. Trial
  10. Predictors of knee joint loading after anterior cruciate ligament reconstruction.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2017
    Trial
  11. Trial
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Knee joint biomechanics during gait improve from 3 to 6 months after anterior cruciate ligament reconstruction.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2022
    Article
  20. Linking Gait Biomechanics and Daily Steps After ACL Reconstruction.Medicine and science in sports and exercise · 2022
    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

2 authors at 2 institutions in 1 country.

Stephanie L Di StasiUniversity of Delaware, Biomechanics and Movement Science Program, Newark, DE, USA. stephanie.distasi@osumc.edu
Lynn Snyder-Mackler
The Ohio State University · USUniversity of Delaware · US

Funding

CAN NEUROMUSCULAR TRAINING ALTER MOVEMENT PATTERNS?R01AR048212 · NIAMS · UNIVERSITY OF DELAWARE · PI SNYDER-MACKLER, LYNN · 2005 to 2015
$3.6M
MOTION ANALYSIS SYSTEM FOR STUDY OF HUMAN MOVEMENT DYSFUNCTION: PHYSICAL THERAPYS10RR022396 · NCRR · UNIVERSITY OF DELAWARE · PI SNYDER-MACKLER, LYNN · 2006 to 2006
$222k
NCRR NIH HHS S10 RR022396NCRR NIH HHS S10RR022396NIAMS NIH HHS R01 AR048212NIAMS NIH HHS R01AR048212
6 · The paper itself

Abstract

backgroundAnterior cruciate ligament rupture is the most common knee ligament injury sustained by active individuals, and the relative injury risk is sex-specific. Women not only demonstrate an increased risk for injury, but also a poorer response following ligament rupture. Perturbation training has shown positive results in healthy females, but gender-specific responses to training after injury have not been evaluated. The purpose of this investigation was to describe the effects of perturbation training on the gait characteristics of male and female non-copers.

methodsBiomechanical data were collected before and after training on 12 male and nine female non-copers using standard motion analysis techniques. Subjects walked at a consistent, self-selected speed over an embedded force plate. Data from both limbs were post-processed and analyzed using a mixed model analysis of variance and minimal clinically important differences to compare the limb behaviors of men and women.

findingsPrior to training, only women demonstrated significant hip joint excursion asymmetry (ES=1.03; P=0.009). Minimal clinically important difference values showed that the involved limb of the women had reduced hip and knee flexion angles and moments, truncated knee excursions, and increased hip excursions when compared to their own uninvolved limb and the limbs of the male non-copers. Following training, only knee extensor moment values exceeded the minimal clinically important differences in women.

interpretationFemale non-copers demonstrated unique movement strategies following injury and perturbation training. Women may be a meaningful subgroup of non-copers, and future investigations should consider the effects of gender in the outcomes of non-copers.

Indexed as

Anterior Cruciate Ligament InjuriesGaitPhysical Therapy ModalitiesAdultAnterior Cruciate LigamentComputer SimulationFemaleHip JointHumansKnee InjuriesKnee JointMaleModels, BiologicalRange of Motion, ArticularTreatment Outcome

Identifiers

PMID22061048
PMCPMC3288430
OpenAlexW1995272838

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.