Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/25606
Title: Clinical course and recommendations for patients after anterior cruciate ligament injury and subsequent reconstruction: A narrative review.
Authors: Gokeler, Alli
DINGENEN, Bart 
Mouton, Caroline
Seil, Romain
Issue Date: 2017
Source: EFORT Open Reviews, 2(10), p. 410-420
Abstract: Almost all athletes who have suffered an anterior cruciate ligament (ACL) injury expect a full return to sports at the same pre-injury level after ACL reconstruction (ACLR). Detailed patient information on the reasonable outcomes of the surgery may be essential to improve patient satisfaction.Pre-operative rehabilitation before ACLR should be considered as an addition to the standard of care to maximise functional outcomes after ACLR.We propose an optimised criterion-based rehabilitation programme within a biopsychosocial framework.No benchmark exists for evaluating return-to-sport (RTS) readiness after ACLR. Therefore, the authors propose a multi-factorial RTS test battery. A combination of both physical and psychological elements should be included in the RTS test battery.There is need for shared decision-making regarding RTS.
Keywords: anterior cruciate ligament injury; evaluation tools; post-operative care; post-operative rehabilitation; pre-operative rehabilitation; psychological factors; return to sports; time of return to sports
Document URI: http://hdl.handle.net/1942/25606
Link to publication/dataset: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5702954/pdf/eor-2-410.pdf
ISSN: 2396-7544
e-ISSN: 2058-5241
DOI: 10.1302/2058-5241.2.170011
ISI #: 000419981000001
Rights: © 2017 The author(s) This article is distributed under the terms of the Creative Commons Attribution-Non Commercial 4.0 International (CC BY-NC 4.0) licence (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed.
Category: A1
Type: Journal Contribution
Validations: vabb 2020
Appears in Collections:Research publications

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