Novel mycobacterial culture techniques: We will evaluate tests intended to make culture more sensitive, faster, and have less contamination.
Novel sputum smear microscopy techniques: We will evaluate new staining techniques or visualization methods to increase the sensitivity of smear microscopy.
Sputum-based molecular assays: We will evaluate semi-automated or automated molecular assays intended for use at near point of care or point of care.
Tongue swab-based molecular assays: We will evaluate semi-automated or automated molecular assays intended for use at near point of care or point of care.
Urine LAM assays: We will evaluate urine LAM assays incorporating techniques such as analyte concentration, higher sensitivity or specificity antibodies, or enhanced visualization to improve LAM detection.
Blood-based host immune response assays: We will evaluate assays measuring host immune response parameters intended for use at near point of care or point of care.
Breath-based assays: We will evaluate assays assessing volatile organic compounds or exhaled breath condensate for near point of care of point of care detection of TB.
Artificial intelligence-based digital health tools: We will evaluate AI-based algorithms evaluating images (chest x-ray, ultrasound) or sounds (cough sounds, lung sounds) including an Infrasound-to-ultrasound e-stethoscope (Level 42 AI, USA).
Phage-based assays: We will evaluate assays using phages to lyse mycobacterial cells for detection of DNA or antigens.
Cartridge-based molecular assays for detecting drug resistance: We will evaluate semi-automated or automated molecular assays intended for use at near point of care or point of care.
Sequencing-based assays for detecting drug resistance: We will evaluate targeted and whole genome sequencing assays.
To reduce the burden of TB worldwide through more accurate, faster, simpler, and less expensive diagnosis of TB Every year, more than 3 million people with TB remain undiagnosed and 1 million die. Better diagnostics are essential to reducing the enormous burden of TB worldwide. The Rapid Research in Diagnostics Development for TB Network (R2D2 TB Network) brings together experts in TB care, technology assessment, diagnostics development, laboratory medicine, epidemiology, health economics and mathematical modeling with highly experienced clinical study sites in 10 countries.
| Facility | City | Region | Status |
|---|---|---|---|
| National Center for Tuberculosis and Lung Diseases | Tbilisi | Georgia | Recruiting |
| Chitoor (Christian Medical College satellite campus) | Vellore | India | Recruiting |
| Christian Medical College CMC Pulmonary Outpatient Department | Vellore | India | Recruiting |
| Primary care clinics (Shalom/LCC, CHAD) | Vellore | India | Recruiting |
| Zankli Research Center | Abuja | Nigeria | Recruiting |
| De La Salle Medical and Health Sciences Institute | Dasmariñas | Philippines | Recruiting |
| Brooklyn Chest Hospital | Cape Town | South Africa | Recruiting |
| Khayelitsha District Health Center | Cape Town | South Africa | Recruiting |
| Kraaifontein Community Health Clinic | Cape Town | South Africa | Recruiting |
| Scottsdene primary care clinic | Cape Town | South Africa | Recruiting |
| Wallacedene primary care clinic | Cape Town | South Africa | Recruiting |
| Kisenyi Health Center | Kampala | Uganda | Recruiting |
| Mulago Outpatient Department | Kampala | Uganda | Recruiting |
| Hanoi Lung Hospital, Outpatient departments | Hanoi | Vietnam | Recruiting |
| National Lung Hospital, Outpatient departments | Hanoi | Vietnam | Recruiting |
| Centre for Infectious Disease Research in Zambia | Lusaka | Zambia | Recruiting |
This page summarises publicly available registry data for informational purposes — not medical advice. Eligibility is determined by each study team; patients should discuss participation with their clinician.
View NCT04923958 on ClinicalTrials.gov ↗ ← All trials in India