Evidence map›Paper›PMID 34695603›Full record

ArticleClinical biomechanics (Bristol, Avon)2021

Diminished neuromuscular system adaptability following anterior cruciate ligament injury: Examination of knee muscle force variability and complexity.

John H Hollman, Takashi Nagai, Nathaniel A Bates, April L McPherson, Nathan D Schilaty

Open access · greenAbstract read
In one paragraph

Article in Clinical biomechanics (Bristol, Avon), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
1.0field-weighted citation impact, top 27% 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 17 citations in OpenAlex.

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  4. [Personalized lower-limb gait assessment method based on musculoskeletal modeling and machine learning].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2026
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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

5 authors at 4 institutions in 1 country.

John H HollmanProgram in Physical Therapy, Mayo Clinic School of Health Sciences, Mayo Clinic College of Medicine and Science, Rochester, MN, USA; Department of Physical Medicine and Rehabilitation, Mayo Clinic, Rochester, MN, USA. Electronic address: hollman.john@mayo.edu.
Takashi NagaiMilitary Performance Division, US Army Research Institute of Environmental Medicine, Natick, MA, USA.
Nathaniel A BatesDepartment of Orthopaedics, The Ohio State University, Columbus, OH, USA.
April L McPhersonUnited States Olympic & Paralympic Committee, Colorado Springs, CO, USA.
Nathan D SchilatyDepartment of Orthopaedic Surgery, Mayo Clinic, Rochester, MN, USA; Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN, USA.
Mayo Clinic in Arizona · USThe Ohio State University · USUnited States Olympic & Paralympic Committee · USU.S. Army Research Institute of Environmental Medicine · US

Funding

Mayo Clinic Interdisciplinary Women's Health Research ProgramK12HD065987 · NICHD · MAYO CLINIC ROCHESTER · PI KANTARCI, KEJAL · 2010 to 2023
$6.7M
NIAMS NIH HHS L30 AR070273NICHD NIH HHS K12 HD065987
6 · The paper itself

Abstract

backgroundAnterior cruciate ligament (ACL) injuries impair knee extensor and flexor force generation and may alter force variability. Fractal scaling exponents quantify signal complexity and reflect neuromuscular system adaptability. The purpose of this study was to evaluate force variability magnitudes and fractal scaling exponents in persons with ACL injuries.

methodsTwenty-four individuals with ACL injury (time from injury: 55 ± 66 days) and 25 uninjured controls completed 10-s isometric knee extension and flexion contractions on a dynamometer at 10%, 25%, 35%, and 50% of peak force. The middle 8-s of data were used to calculate coefficients of variation and fractal exponents. Injured and non-injured limbs as well as dominant and non-dominant limbs in the control group were compared with ANOVA (P < 0.05).

findingsPeak knee extensor and flexor forces were 19% and 10% lower in the injured limb of ACL-deficient participants (P = 0.014 and P = 0.036, respectively). Fractal scaling exponents of knee extensor force signals at 25% and 35% peak force in injured limbs were higher than in non-injured limbs (P = 0.008 and P = 0.027, respectively). The fractal scaling exponent of knee extensor force signals was greater in injured limbs of ACL-deficient participants than in dominant limbs of the control group at 35% peak force (P = 0.046). The magnitude of variability did not differ between limbs in ACL-deficient participants or between the injured and control groups.

interpretationAltered fractal exponents in knee extensor force signals represent sensorimotor and neuromuscular system deficits in individuals with ACL injury. Overall, fractal analysis identified both between-limb and between-group differences.

Indexed as

Anterior Cruciate Ligament InjuriesBiomechanical PhenomenaHumansKneeKnee JointMusclesRange of Motion, ArticularAnterior cruciate ligamentFractalsIsometric contractionKnee

Identifiers

PMID34695603
PMCPMC8633168
OpenAlexW3207231194

What OpenQuestion holds

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Registered trials

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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.