Health Sciences & Medicine
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Abstract: To analyse the link between biological features and clinical outcome is the main purpose of the article analysed. The authors used very easy to interpret methods to show their data (contingency tables, frequencies), but also used different to analyse the same samples ( and Fisher's exact test), they further used specially developed statistical tools (Kaplan-Meier estimation methods and Cox proportional hazard regression models) that are particularly developed for the study of survival statistics.


The main hypothesis tested is to show the existence or absence of any differences between two histological features to the patients' clinical treatment and outcome: Invasive lobular carcinoma (ILC) and Invasive ductal carcinoma (IDC). The aim was first to establish risk factors and use them as variables for patient survival through the time of the test. This approach has the potential of producing quantifiable risk factors that can help clinicians to design different clinical management strategies based on easy and fast diagnostic procedures. In this article, we will try to elucidate the merit of this paper to achieving the aims it sets.
The Body: In order to achieve some statistical significance the authors analysed a big study population of 49309 patients, and split the population into two groups depending on the histological features of the breast tumour so that 4140 fell under the Invasive lobular carcinoma (ILC) requirements, and the other 45, 169 under the Invasive ductal carcinoma (IDC). ...
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