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Updated: Jul 5, 2025

The MODS method for diagnosis of tuberculosis and multidrug resistant tuberculosis
Published on: August 11, 2008
Diagnostic Accuracy of Clinical Diagnostic Scoring Systems for Childhood Tuberculosis: A Systematic Review and
Michael Kakinda1, Ronald Olum2,3, Joseph Baruch Baluku3,4,5
1Clinical Directorate, Joint Clinical Research Center, Kampala, Uganda.
Insights
Diagnosing childhood tuberculosis (TB) is challenging. A systematic review recommends the Keith Edwards scoring system for its high accuracy in diagnosing pediatric TB, but further research is needed for children with HIV and malnutrition.
Area of Science:
- Pediatric infectious diseases
- Diagnostic accuracy studies
- Tuberculosis diagnostics
Background:
- Childhood tuberculosis (TB) diagnosis presents significant challenges.
- Point-based scoring systems and diagnostic algorithms aim to improve diagnostic yield in pediatric TB.
- An updated systematic review of existing childhood TB scoring systems and algorithms is lacking.
Purpose of the Study:
- To systematically review the diagnostic accuracy of scoring systems and algorithms for childhood TB.
- To identify the most effective diagnostic tools for pediatric tuberculosis.
Main Methods:
- Systematic search of PubMed, CINAHL, Embase, Scopus, and Google Scholar databases (up to March 30, 2023).
- Quality assessment of studies using QUADAS-2.
- Pooled analysis of diagnostic accuracy measures (sensitivity, specificity, diagnostic odds ratio, likelihood ratios) using a random-effects model.
Main Results:
- Fifteen studies involving 7327 participants (<15 years) were included, evaluating 10 diagnostic tools.
- The Keith Edwards scoring system showed high diagnostic accuracy (sensitivity 81.9%, specificity 81.2%) across 5 studies.
- Other evaluated tools included Kenneth Jones criteria (sensitivity 80.1%, specificity 45.7%) and Ministry of Health-Brazil algorithm (sensitivity 79.9%, specificity 73.2%).
Conclusions:
- The Keith Edwards scoring system is recommended due to its superior sensitivity and specificity for diagnosing childhood TB.
- Further research is required to evaluate the effectiveness of these tools in children with co-existing HIV and malnutrition.
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 30 March 2023. QUADAS-2 was used to assess their study quality. Diagnostic accuracy measures (ie, sensitivity, specificity, diagnostic odds ratio, positive and negative likelihood ratios) were pooled using a random-effects model.
Results:
We included 15 eligible studies, with a total of 7327 study participants aged <15 years, with 10 evaluations of childhood TB diagnostic scoring systems and algorithms. Among these algorithms and scoring systems, only 3 were evaluated more than once. These were the Keith Edwards scoring system with 5 studies (sensitivity, 81.9%; specificity, 81.2%), Kenneth Jones criteria with 3 studies (sensitivity, 80.1%; specificity, 45.7%), and the Ministry of Health-Brazil algorithm with 3 studies (sensitivity, 79.9%; specificity, 73.2%).
Conclusions:
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 TB in children with HIV and malnutrition.
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