Evidence map›Paper›PMID 34260290›Full record

ArticleThe American journal of sports medicine2021

Running Biomechanics Before Injury and 1 Year After Anterior Cruciate Ligament Reconstruction in Division I Collegiate Athletes.

Keith A Knurr, Stephanie A Kliethermes, Mikel R Stiffler-Joachim, Daniel G Cobian, Geoffrey S Baer, Bryan C Heiderscheit

Open access · greenAbstract read
In one paragraph

Article in The American journal of sports medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
5.9field-weighted citation impact, top 3% 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

26 citing papers in PubMed, 46 citations in OpenAlex.

  1. Article
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  10. Current Rehabilitation Principles Following Meniscus Repairs.Current reviews in musculoskeletal medicine · 2025
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Return-to-Sport Testing in Young Athletes After Anterior Cruciate Ligament Reconstruction.HSS journal : the musculoskeletal journal of Hospital for Special Surgery · 2024
    Article
  17. Article
  18. Article
  19. Article
  20. Beyond peak torque: Longitudinal analysis of angle-specific isokinetic knee torques in collegiate athletes post-ACLR.Physical therapy in sport : official journal of the Association of Chartered Physiotherapists in Sports Medicine · 2023
    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

6 authors at 1 institution in 1 country.

Keith A KnurrDepartment of Orthopedics and Rehabilitation, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Stephanie A KliethermesDepartment of Orthopedics and Rehabilitation, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Mikel R Stiffler-JoachimDepartment of Orthopedics and Rehabilitation, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Daniel G CobianDepartment of Orthopedics and Rehabilitation, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Geoffrey S BaerDepartment of Orthopedics and Rehabilitation, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Bryan C HeiderscheitDepartment of Orthopedics and Rehabilitation, University of Wisconsin-Madison, Madison, Wisconsin, USA.
University of Wisconsin–Madison · US

Funding

NRSA Training CoreTL1TR002375 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI Vivek Prabhakaran · 2017 to 2026
$8.4M
NCATS NIH HHS TL1 TR002375
6 · The paper itself

Abstract

backgroundPreinjury running biomechanics are an ideal comparator for quantifying recovery after anterior cruciate ligament (ACL) reconstruction (ACLR), allowing for assessments within the surgical and nonsurgical limbs. However, availability of preinjury running biomechanics is rare and has been reported in case studies only. PURPOSE/HYPOTHESIS: The purpose of this study was to determine if running biomechanics return to preinjury levels within the first year after ACLR among collegiate athletes. We hypothesized that (1) surgical knee biomechanics would be significantly reduced shortly after ACLR and would not return to preinjury levels by 12 months and (2) nonsurgical limb mechanics would change significantly from preinjury. STUDY

designCohort study; Level of evidence, 2.

methodsThirteen Division I collegiate athletes were identified between 2015 and 2020 (6 female; mean ± SD age, 20.7 ± 1.3 years old) who had whole body kinematics and ground-reaction forces recorded during treadmill running (3.7 ± 0.6 m/s) before sustaining an ACL injury. Running analyses were repeated at 4, 6, 8, and 12 months (4M, 6M, 8M, 12M) after ACLR. Linear mixed effects models were used to assess differences in running biomechanics between post-ACLR time points and preinjury within each limb, reported as Tukey-adjusted

resultsWhen compared with preinjury, the surgical limb displayed significant deficits at all postoperative assessments (

conclusionAfter ACLR, surgical limb knee running biomechanics were not restored to the preinjury state by 12M, while nonsurgical limb mechanics remained unchanged as compared with preinjury. Collegiate athletes after ACLR demonstrate substantial deficits in running mechanics as compared with preinjury that persist beyond the typical return-to-sport time frame. The nonsurgical knee appears to be a valid reference for recovery of the surgical knee mechanics during running, owing to the lack of change within the nonsurgical limb.

Indexed as

Anterior Cruciate Ligament InjuriesAnterior Cruciate Ligament ReconstructionRunningAdultAthletesBiomechanical PhenomenaCohort StudiesFemaleHumansKnee JointYoung AdultACLgait analysismotion analysis/kinesiologyrunning

Identifiers

PMID34260290
PMCPMC8338897
OpenAlexW3181643815

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.