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Development of a Treatment-decision Algorithm for Human Immunodeficiency Virus–uninfected Children Evaluated for Pulmonary Tuberculosis
Author(s) -
Kenneth S. Gunasekera,
Elisabetta Walters,
Marieke M. van der Zalm,
Megan Palmer,
Joshua L. Warren,
Anneke C. Hesseling,
Ted Cohen,
James A Seddon
Publication year - 2021
Publication title -
clinical infectious diseases/clinical infectious diseases (online. university of chicago. press)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.44
H-Index - 336
eISSN - 1537-6591
pISSN - 1058-4838
DOI - 10.1093/cid/ciab018
Subject(s) - medicine , interquartile range , tuberculosis , pulmonary tuberculosis , retrospective cohort study , receiver operating characteristic , cohort , pediatrics , algorithm , prospective cohort study , medical diagnosis , cohort study , radiology , pathology , computer science
Limitations in the sensitivity and accessibility of diagnostic tools for childhood tuberculosis contribute to the substantial gap between estimated cases and cases notified to national tuberculosis programs. Thus, tools to make accurate and rapid clinical diagnoses are necessary to initiate antituberculosis treatment in more children.

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