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RECRUITING
NCT04923958
NA

Rapid Research in Diagnostics Development for TB Network

Sponsor: University of California, San Francisco

View on ClinicalTrials.gov

Summary

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.

Official title: Rapid Research in Diagnostics Development for TB Network (R2D2 TB Network) Study

Key Details

Gender

All

Age Range

12 Years - Any

Study Type

INTERVENTIONAL

Enrollment

26436

Start Date

2021-04-14

Completion Date

2031-05-31

Last Updated

2025-11-14

Healthy Volunteers

No

Conditions

Interventions

DIAGNOSTIC_TEST

Novel mycobacterial culture techniques

We will evaluate tests intended to make culture more sensitive, faster, and have less contamination.

DIAGNOSTIC_TEST

Novel sputum smear microscopy techniques

We will evaluate new staining techniques or visualization methods to increase the sensitivity of smear microscopy.

DIAGNOSTIC_TEST

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.

DIAGNOSTIC_TEST

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.

DIAGNOSTIC_TEST

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.

DIAGNOSTIC_TEST

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.

DIAGNOSTIC_TEST

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.

DIAGNOSTIC_TEST

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).

DIAGNOSTIC_TEST

Phage-based assays

We will evaluate assays using phages to lyse mycobacterial cells for detection of DNA or antigens.

DIAGNOSTIC_TEST

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.

DIAGNOSTIC_TEST

Sequencing-based assays for detecting drug resistance

We will evaluate targeted and whole genome sequencing assays.

Locations (16)

National Center for Tuberculosis and Lung Diseases

Tbilisi, Georgia

Chitoor (Christian Medical College satellite campus)

Vellore, India

Christian Medical College CMC Pulmonary Outpatient Department

Vellore, India

Primary care clinics (Shalom/LCC, CHAD)

Vellore, India

Zankli Research Center

Abuja, Nigeria

De La Salle Medical and Health Sciences Institute

Dasmariñas, Philippines

Brooklyn Chest Hospital

Cape Town, South Africa

Khayelitsha District Health Center

Cape Town, South Africa

Kraaifontein Community Health Clinic

Cape Town, South Africa

Scottsdene primary care clinic

Cape Town, South Africa

Wallacedene primary care clinic

Cape Town, South Africa

Kisenyi Health Center

Kampala, Uganda

Mulago Outpatient Department

Kampala, Uganda

Hanoi Lung Hospital, Outpatient departments

Hanoi, Vietnam

National Lung Hospital, Outpatient departments

Hanoi, Vietnam

Centre for Infectious Disease Research in Zambia

Lusaka, Zambia