Iris Publishers- Open access Journal of Cancer Research & Clinical Imaging | Commentary of Sarcopenia and Postoperative
Complications in Gastrointestinal Cancer
Authored by Mikhail V Osipov
The undoubted achievement of the authors of the article is the
detailed literature review and scrupulous data collecting, which
allowed researchers to identify multiply factors and analyze an
impact of those on the outcome. The most appropriate design for
this type of study is a multivariate analysis. Current study presents
results of a several univariate comparisons using one-by-one
comparison of separate risk factors affecting the outcome using the
SPSS package. At the same time, age and gender of the patient - a
major factors which could impact on the outcome - were not taken
into account in the analysis. The results presented in the study lean
on p-values given for factors that has categories, i.e. categorical
variables - a stage or degree of severity (for example, BMI has 3
levels: Underweight, Eutrophy, Overweight, which obviously can
have an opposite impact on the outcome). A question arises, which
of those categories was used for the comparison giving single
p-value and how this significance corresponds beside the levels of
single risk factor. Also, the key question is how much the severity of
Sarcopenia, which has 3 stages, affects the outcome. Authors should
remember that this approach (direct comparison when combining
all categories into one) the Simpson paradox could cause.
The use of the t-test is admissible for the discrete sample and normal distribution, and there’s need to check the distribution for normality before the analysis, otherwise in the present study, with a sample size of 46 cases and a discrete distribution pattern, t-test may cause deviation. It is appropriate to use Fisher test or mid-p test for discrete distribution in the present analysis. The use of nonlinear logistic regression requires, above all, a description of the model, which the authors did not specify. Although the presence of Sarcopenia empirically to a certain extent can influence the occurrence of postoperative complications due to difficulties in adapting process of human organism, the result obtained in this study requires further improvement. In this regard, the authors are recommended to correct the results of the study in accordance with the specified shortcomings.
The use of the t-test is admissible for the discrete sample and normal distribution, and there’s need to check the distribution for normality before the analysis, otherwise in the present study, with a sample size of 46 cases and a discrete distribution pattern, t-test may cause deviation. It is appropriate to use Fisher test or mid-p test for discrete distribution in the present analysis. The use of nonlinear logistic regression requires, above all, a description of the model, which the authors did not specify. Although the presence of Sarcopenia empirically to a certain extent can influence the occurrence of postoperative complications due to difficulties in adapting process of human organism, the result obtained in this study requires further improvement. In this regard, the authors are recommended to correct the results of the study in accordance with the specified shortcomings.
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