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Article
Peer-Review Record

Identification of Kinetic Abnormalities in Male Patients after Anterior Cruciate Ligament Deficiency Combined with Meniscal Injury: A Musculoskeletal Model Study of Lower Limbs during Jogging

Bioengineering 2022, 9(11), 716; https://doi.org/10.3390/bioengineering9110716
by Shuang Ren 1,†, Xiaode Liu 2,3,†, Haoran Li 2, Yufei Guo 3, Yuhan Zhang 3, Zixuan Liang 1, Si Zhang 1, Hongshi Huang 1, Xuhui Huang 3, Zhe Ma 3, Qiguo Rong 2,* and Yingfang Ao 1,*
Reviewer 1:
Reviewer 2:
Reviewer 3: Anonymous
Bioengineering 2022, 9(11), 716; https://doi.org/10.3390/bioengineering9110716
Submission received: 15 October 2022 / Revised: 9 November 2022 / Accepted: 17 November 2022 / Published: 19 November 2022
(This article belongs to the Special Issue Biomechanics and Bionics in Sport and Exercise)

Round 1

Reviewer 1 Report

Dear Authors

I read this paper with interest. I recommend acceptance after some minor edits.

Introduction

I am not sure why you are doing this research. You will show that if there is an injury then the joint forces/moments will be lower, however, this is quiet obvious. How will you apply this information in the clinical setting to help the practitioner?

 

Methods

Line 108 Use Twente for the name of the model with a capital letter

Results 

Excellent

Discussion

Excellent except missing some information about how the results can be applied to help improve rehabilitation training. 

Author Response

Please see the attachment.

Author Response File: Author Response.docx

Reviewer 2 Report

Thank you for permitting me to review this manuscript

In this study the authors assessed the kinematics and kinetics of ACLD subjects , with meniscal injury (ACLDM° in comparison with ACLD alone and control subject during the stance phase  . They found abnormal kinetic alterations at the loading response and mid  stance phase in different group of  ACLDM patients compared to ACLD alone and control patients.

The results are not surprising 

however sample size is very limited  and general conclusion cannot be drawn 

Please provide reference for by using the motion capture system and subject-specific multi-body dynamic mode since this method should be clinically validated .

the  caption systeme need to be more elaborated.

What about the possibilty of injury in non affected limb , please developp a mini paragraph on this issue in the discussion section 

 

Please define more accurately for the readers , kinematics and kinetics  since as stated kinematics was not evaluated in this study.

please provide  real picture of the system and sensors.

The conclusion is very soft and logical I think it should also focus on methodology 

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 3 Report

Dear authors

The article describes the variation in the kinetic pattern during jogging with and without an ACL- and Meniscal Injury. A topic of interest in predicting the long term outcome of ACL-treatment.

 There are some principal questions:

-       Subjects:
hours of sport per week,
how did the Injury occur: Through a non-contact or contact accident.

-       Technical information about the 3D-motion capture technics ?:
e.g. Sampling rate, Marker size, accuracy of the model (e.g. axis knee joint), error in the kinematic data due to marker placement

-       type of force plate, sampling rate,

 Questions:
-     Table 1:  Abbreviations not explained, please move at the end of chapter 2.1
-     Text to Figure 1; Line 106/107: how is the inverse dynamic linked between the 2 maker models
-     Line 223/ 224: numbers: Unit?
-     Line 243: “A literature [26] summarized”: please add name of author.

 

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Round 2

Reviewer 2 Report

The authors have significantly improved the manuscript 

Reviewer 3 Report

No further comments

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