Published on in Vol 3, No 2 (2022): Apr-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/38488, first published .
Peer Review of “Using Structural Equation Modelling in Routine Clinical Data on Diabetes and Depression: Observational Cohort Study”

Peer Review of “Using Structural Equation Modelling in Routine Clinical Data on Diabetes and Depression: Observational Cohort Study”

Peer Review of “Using Structural Equation Modelling in Routine Clinical Data on Diabetes and Depression: Observational Cohort Study”

Authors of this article:

Anonymous1

Peer-Review Report


This is a peer-review report submitted for the paper “Using Structural Equation Modelling in Routine Clinical Data on Diabetes and Depression: Observational Cohort Study.”


Major Comments

  1. In this paper [1], the general research hypothesis should be interpreted and clarified more in the Introduction.
  2. Please redesign Figure 1 with better quality and interpretations.
  3. Recommendations and limitations are absent.

Minor Comments

  1. Order keywords alphabetically.

Conflicts of Interest

None declared.

  1. Ronaldson A, Freestone M, Zhang H, Marsh W, Bhui K. Using Structural Equation Modelling in Routine Clinical Data on Diabetes and Depression: Observational Cohort Study. JMIRx Med 2022;3(2):e22912 [https://med.jmirx.org/2022/2/e22912/]

Edited by E Meinert; This is a non–peer-reviewed article. submitted 04.04.22; accepted 04.04.22; published 27.04.22

Copyright

© Anonymous. Originally published in JMIRx Med (https://med.jmirx.org), 27.04.2022.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIRx Med, is properly cited. The complete bibliographic information, a link to the original publication on https://med.jmirx.org/, as well as this copyright and license information must be included.