Review for 10.1186/s12876-023-02729-z (2023)

Reviewer’s report
Title: 
A novel predictive model of microvascular invasion in hepatocellular
carcinoma based on differential protein expression
Version: 
2 
Date: 
28 Jan 2023
Reviewer's report:
This study constructed and verified a nomogram model for microvascular
invasion (MVI) based on hepatocellular carcinoma (HCC) tumor characteristics
and differential protein expressions, and explore the clinical application value of
the prediction model. The research method is reasonable and the model performs
well in predicting MVI. There are some questions as following:
1.Is it more reliable, economical and convenient to expand the scope of routine
glass slides and decrease randomness and bias of sampling than detecting 5
proteins which some are not routine detection.
2.The level of protein may also be affected by random sampling
3.AFP> 400
μ
g/L and PIVKA-
Ⅱ
> 90 mAU/mL were independent risk factors for
MVI. These two tumor markers are specifically associated with HCC. However,
these two factors failed to included in model.
4.Line 225, page 11: he incidence of MVI→the incidence of MVI.
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Is the study design appropriate to answer the research question (including the use
of appropriate controls), and are the conclusions supported by the evidence
presented?
Yes
Are the methods sufficiently described to allow the study to be repeated?
Yes
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Yes
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Yes
Are the images in this manuscript (including electrophoretic gels and blots) free
from apparent manipulation?
Yes
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