- The study addresses the issue of undiagnosed pulmonary tuberculosis in children, aiming to improve diagnostic algorithms and prediction models to assist in treatment decisions at primary health-care centers.
- Researchers conducted a meta-analysis using data from WHO and various studies to evaluate the effectiveness of existing treatment-decision algorithms and develop new multivariable prediction models.
- The analysis included data from 4718 children under 10 years old across 12 countries, resulting in the creation of two scoring systems for tuberculosis classification that aim for high sensitivity in clinical settings.