Background
Diagnosis of childhood tuberculosis (TB) poses several challenges. Therefore, point-based scoring systems and diagnostic algorithms have been developed to improve the diagnostic yields in this population. However, there are no updated systematic reviews of the existing childhood TB scoring systems and algorithms. Hence, we systematically reviewed the diagnostic accuracy of the childhood TB diagnostic scoring systems and algorithms.
Methods
We systematically searched PubMed, CINAHL, Embase, Scopus, and Google Scholar databases for relevant articles published until March 30, 2023. QUADAS-2 was used to assess their study quality. Diagnostic accuracy measures (i.e., sensitivity, specificity, diagnostic odds ratio [DOR], positive likelihood ratio [LR+], and negative likelihood ratio [LR]) were pooled using a random-effects model. All statistical analyses were performed using MetaDTA and STATA SE version 17.
Results
We included 15 eligible studies, with a total of 7,327 study participants aged less than 15 years, with 10 evaluations of childhood TB diagnostic scoring systems and algorithms. Among these algorithms and scoring systems, only three were evaluated more than once. These were Keith Edward’s scoring system with five studies (sensitivity-81.9% and specificity-81.2%), Kenneth Jones Criteria (sensitivity-80.1% and specificity-45.7%), and the MoH Brazil Algorithm (sensitivity: 79.9% and specificity-73.2%) with three studies each.
Conclusion
We recommend using the Keith Edwards scoring system because of its high sensitivity and specificity. Further research is necessary to assess the effectiveness of scoring systems and algorithms in identifying tuberculosis in children with HIV and malnutrition.