2022
DOI: 10.1186/s12889-022-14477-y
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Pediatric tuberculosis outcomes and factors associated with unfavorable treatment outcomes in Botswana, 2008–2019: a retrospective analysis

Abstract: Introduction Globally, the amount of research on the outcomes of pediatric tuberculosis (TB) is disproportionately less than that of adult TB. The diagnosis of paediatric TB is also problematic in developing countries. The aim of this study was to describe the outcomes of pediatric TB in Botswana and to identify the factors associated with unfavorable outcomes. Methods This was a retrospective analysis of pediatric TB outcomes in Botswana, over a 1… Show more

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Cited by 6 publications
(3 citation statements)
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“…In contrast to examining a large number of complex predictors (i.e., blood biomarkers), our simplified approach improves the practical utilization of these tools in resource-limited settings that carries the largest burden of pediatric TB disease. Third, previous studies primarily use logistic regression with a priori defined predictors to examine covariates related to pediatric TB [ 27 , 31 33 ]. This analysis explores a wide range of machine learning classification approaches beyond standard logistic regression, such as decision trees and SVMs, to train models.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…In contrast to examining a large number of complex predictors (i.e., blood biomarkers), our simplified approach improves the practical utilization of these tools in resource-limited settings that carries the largest burden of pediatric TB disease. Third, previous studies primarily use logistic regression with a priori defined predictors to examine covariates related to pediatric TB [ 27 , 31 33 ]. This analysis explores a wide range of machine learning classification approaches beyond standard logistic regression, such as decision trees and SVMs, to train models.…”
Section: Discussionmentioning
confidence: 99%
“…settings that carries the largest burden of pediatric TB disease. Third, previous studies primarily use logistic regression with a priori defined predictors to examine covariates related to pediatric TB [27,[31][32][33]. This analysis explores a wide range of machine learning classification approaches beyond standard logistic regression, such as decision trees and SVMs, to train models.…”
Section: Plos Digital Healthmentioning
confidence: 99%
“…Các nghiên cứu về kết quả điều trị bệnh lao trẻ em cho thấy tỷ lệ thành công trong điều trị bệnh lao ở trẻ em là khá cao (trên 85%) [1][2][3]. Có nhiều yếu tố ảnh hưởng đến kết quả điều trị bệnh lao trẻ em như trẻ dưới 5 tuổi, chẩn đoán lao có bằng chứng vi khuẩn, tình trạng nhiễm HIV… [2,4,5]. Nguy cơ xảy ra các tác dụng phụ nghiêm trọng ở trẻ em được điều trị lao theo phác đồ điều trị khuyến cáo là rất thấp.…”
Section: đặT Vấn đềunclassified