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Death outcome with successful treatment of tuberculosis patients
Author(s) -
Al Asyary
Publication year - 2018
Publication title -
international journal of preventive medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.539
H-Index - 39
eISSN - 2008-8213
pISSN - 2008-7802
DOI - 10.4103/ijpvm.ijpvm_30_18
Subject(s) - medicine , tuberculosis , outcome (game theory) , intensive care medicine , family medicine , bioinformatics , pathology , biology , mathematics , mathematical economics
I read the previous publication on death outcome after successful treatment of smear‐positive tuberculosis (TB).[1] Moosazadeh et al. presented a cohort study in Iranian Registry Setting which concluded that the “Positive smear pulmonary TB even after successful treatment has an adverse effect on the patients’ survival and leads to a decrease in their survival rate in the long run.”[1] I agree with the cohort methodology and survivals’ data analysis of such an evidence. However, I am concerned about stratification[2] to analyze separately the effect of either diabetes, renal disease, cancer, previous TB treatment, or age group. I am wondering how the adjustable effects’ result after these variables are stratified with death status in different population settings.

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