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Peer-Review Record

Comorbidity Prevalence in Prediabetes and Type 2 Diabetes: A Cross-Sectional Study in a Predominantly Hispanic U.S.–Mexico Border Population

Int. J. Environ. Res. Public Health 2025, 22(5), 673; https://doi.org/10.3390/ijerph22050673
by Ricardo X. Noriega 1,2, Juan J. Nañez 2, Emily F. Hartmann 2, John D. Beard 1, Chantel D. Sloan-Aagard 1 and Evan L. Thacker 1,*
Reviewer 1:
Reviewer 2:
Int. J. Environ. Res. Public Health 2025, 22(5), 673; https://doi.org/10.3390/ijerph22050673
Submission received: 4 March 2025 / Revised: 12 April 2025 / Accepted: 13 April 2025 / Published: 24 April 2025

Round 1

Reviewer 1 Report

Comments and Suggestions for Authors

Thank you for the opportunity to read this interesting research. It is relevant, overall well written, and the findings inspirational in the context of motivating people with prediabetes  to decrease progression to T2DM.

There are a few things things that should be addressed prior to publication

The abstract should specify type 2 diabetes (I'd say mellitus should also be included but it appears that is being left off more and more)

line 36 - chech grammar

line 38 - what "people" - this should be clarified - individuals with pre diabetes? healthcare professionals? and what kind of study? How robust was this evidence?

lines 46-48 - check grammar

In the methods section specifically what method was used to classify people as having prediabetes should be included, as well as the actual HbA1c levels, as the level used to define prediabetes varies from country to country - for example, greater or equal to 42 mmom/L in the UK, and I think 39 mol/L in the USA? If not available then this needs to be an explicityly stated limitation

line 110 - check grammar

line 145 - check grammar

lines 197-200 - the implications of this study are overstated - please modify

Line 204-208 - "there is nothing in this research study that provides evidence to state that "this collaboration will lead" - please modify

Line 251 - and other places where the term "literature" is used - it is the research evidence or at least the research literature - literature alone has a much more broad meaning

I'd suggest adding a sentence or two on what further reserach is actually needed to more definitely prove causation

Author Response

Please see the attachment

Author Response File: Author Response.pdf

Reviewer 2 Report

Comments and Suggestions for Authors

[1]. Ln 49-52. Better move this at the very end of the introduction.

 

[2]. In the study groups, subjects with prediabetes are proportionally more numerous up to age 59, whereas subjects with DM are proportionally more numerous over age 60. The authors could explain/clarify more how they adjusted for age, given that age (and probably duration of the premorbid condition, i.e. prediabetes) also plays a role in the appearance of CVD etc [https://diabetesjournals.org/care/article/41/4/731/36880/Duration-of-Diabetes-and-Prediabetes-During]

 

 

Author Response

Please see the attachment

Author Response File: Author Response.pdf

Reviewer 3 Report

Comments and Suggestions for Authors

In this manuscript, the authors present prevalent ratio and analysis for population cohorts with diabetes and pre-diabetes. While, in principle, the manuscript is interesting and describes an important topic of research, it is not suitable for publication in its current form.

  1. How was it ensured that the population cohorts in the two data sets are unique? How would the model behave if input cohorts have overlap (and include patients with co-occurring conditions)?
  2. Minimal details have been provided regarding the quantitative analysis and the specific results obtained.
  3. Figure and Table captions are non-existent. This needs to be overhauled.
  4. Figure 1 needs to incorporate variation in the data set. As it is currently presented, it does not shed any light on the statistical significance of the results.
  5. I am confused by the caption of Table 2. What does this mean?
  6. Overall, the analysis presented in the manuscript is very simplistic and minimal. At a minimum, the authors need to quantitate the statistical rigor of the results and dependent of the results on the input data sets. Additionally, can the authors perform quantitative clustering of population analysis to demonstrate any overlap and redundancy in the input data sets that could artificially skew the output?
  7. There is minimal discussion about the broader applicability of the conclusions presented in the manuscript outside of this study. As such, there does not appear to be a significant mapping to a general population cohort that could be inferred from this manuscript.

Author Response

Please see the attachment

Author Response File: Author Response.pdf

Round 2

Reviewer 3 Report

Comments and Suggestions for Authors

The revised manuscript addresses the pertinent questions raised by this reviewer. Additionally, the revisions made regarding other reviewer's comments appear to be comprehensive as well.

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