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Cited by 352

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A performance test to monitor rehabilitation and evaluate anterior cruciate ligament injuries

Tegner, Yelverton, Lysholm, Jack, Lysholm, Marketta, Gillquist, Jan·1986·The American Journal of Sports Medicine

Abstract

A performance test simulating components of sports was devised to evaluate dysfunction after ACL injury. The test included a one-leg hop, running in a figure of eight (straight running and turn running measured sep arately), running up and down a spiral staircase, and running up and down a slope. Twenty-six men with ACL injury, most of them soccer players, and 66 uninjured male soccer players were studied. Patients with ACL injury performed signifi cantly less well than the uninjured players. Test items of special interest were turn running in the figure of eight, stair running, and slope running, all of which place high demand on the knee. It is concluded that a performance test of this design is useful for monitoring rehabilitation and for evaluating the patient's condition. Before sports can be resumed at the original level, normal strength and normal per formance should be regained.

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Metadata

Authors
Tegner, Y., Lysholm, J., Lysholm, M., & Gillquist, J.
Venue
The American Journal of Sports Medicine
Published
1986-03
Volume
14
Issue
2
Pages
156-159
ISSN
  • 0363-5465 (ISSN-L)
  • 1552-3365
OpenAlex
W2014683237
Cited by
352
References
0
FWCI
6.65
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A performance test to monitor rehabilitation and evaluate anterior cruciate ligament injuries. https://app.cochat.ai/papers/10.1177/036354658601400212
The paper
Tegner, Y., Lysholm, J., Lysholm, M., & Gillquist, J. (1986). A performance test to monitor rehabilitation and evaluate anterior cruciate ligament injuries. The American Journal of Sports Medicine. https://doi.org/10.1177/036354658601400212

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.