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.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom