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Dataset Information

Two Clinical Prediction Tools to Inform Rapid Tuberculosis Treatment Decision-making in Children.


ABSTRACT:

Background

In the absence of bacteriologic confirmation to diagnose tuberculosis (TB) in children, it is suggested that treatment should be initiated when sufficient clinical evidence of disease is available. However, it is unclear what clinical evidence is sufficient to make this decision. To identify children who would benefit from rapid initiation of TB treatment, we developed 2 clinical prediction tools.

Methods

We conducted a secondary analysis of a prospective intensified TB patient-finding intervention conducted in Pakistan in 2014-2016. TB disease was determined through either bacteriologic confirmation or a clinical diagnosis. We derived 2 tools: 1 uses classification and regression tree (CART) analysis to develop decision trees, while the second uses multivariable

SUBMITTER: Brooks MB 

PROVIDER: S-EPMC10284336 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature