Commentary of Sarcopenia and Postoperative Complications in Gastrointestinal Cancer
Commentary
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.
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