TuberculosisR2D2TB NetworkNCT04923958
Rapid Research in Diagnostics Development for TB Network
A study testing Novel mycobacterial culture techniques, Novel sputum smear microscopy techniques and Sputum-based molecular assays in people with Tuberculosis, run by University of California, San Francisco at 16 sites in 8 countries.
Trial 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. Read more about this study
- Who is it for?
- Ages 12 years and older
- Conditions the study is for
- Tuberculosis
- What is being tested?
- Novel mycobacterial culture techniques, Novel sputum smear microscopy techniques and Sputum-based molecular assays
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 26,436 participants
- Where
- 16 sitesin 8 countries
- Study dates
- 14 Apr 2021to 31 May 2031
- Phase
- Interventional
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 12 years and older
- All sexes
- No healthy volunteers
- Child, Adult, Older adult
Novel TB triage and diagnostic tests:
We will include non-hospitalized adults (age ≥ 12 years) with either 1) cough ≥2 weeks' duration, a commonly accepted criterion for identifying people with presumed pulmonary TB (to facilitate standardization across sites and comparison of test performance across sub-groups or 2) risk factors for which TB screening is recommended (HIV infection, self-reported close contact, history of mining work). People with risk factors will be included if they screen positive for TB based on WHO-recommended screening tools as specified below:
Positive TB screening definitions by risk factor:
- PLHIV (Risk Factor), CRP >5 mg/dL OR abnormal CXR (Positive TB screening definition)
- Self-reported Close Contact (Risk Factor), abnormal CXR (Positive TB screening definition)
- History of mining work (Risk Factor), abnormal CXR (Positive TB screening definition)
We will exclude people who:
- completed latent or active TB treatment within the past 12 months (to increase TB prevalence and reduce false-positive results, respectively);
- have taken any medication with anti-mycobacterial activity (including fluoroquinolones) for any reason, within 2 weeks of study entry (to reduce false-negatives);
- reside >20km from the study site or are unwilling to return for follow-up visits; or
- are unwilling to provide informed consent
Novel TB rDST assays:
We will include adults (age ≥12 years) who are positive for TB and RIF resistance according to routine diagnostic testing (based typically on Xpert MTB/RIF, Xpert MTB/RIF Ultra, or Hain MTBDRplus). We will exclude people who:
- have negative or contaminated results on all baseline (i.e., enrollment) sputum cultures
- are unable to provide at least two sputum specimens of 3 mL each within one day of enrollment
- are unable or unwilling to provide informed consent
Assessment of the usability of novel TB tests:
We will include health workers at each clinical site who are 1) aged ≥18 years and 2) involved in routine TB testing (collecting specimens for or performing TB tests). We will exclude staff who are unwilling to provide informed consent.
Trial locations and contacts
16 sites in 8 countries. Contact the study team or a site near you to ask about taking part.
16 sites in 8 countries
South Africa5 sites, 5 recruiting
- Recruiting
Brooklyn Chest Hospital
Cape Town
Grant Theron, gtheron@sun.ac.za
- Recruiting
Khayelitsha District Health Center
Cape Town
Grant Theron, gtheron@sun.ac.za
- Recruiting
Kraaifontein Community Health Clinic
Cape Town
Grant Theron, gtheron@sun.ac.za
- Recruiting
Scottsdene primary care clinic
Cape Town
Grant Theron, gtheron@sun.ac.za
- Recruiting
Wallacedene primary care clinic
Cape Town
Grant Theron, gtheron@sun.ac.za
India3 sites, 3 recruiting
- Recruiting
Chitoor (Christian Medical College satellite campus)
Vellore
DJ Christopher, djchris@cmcvellore.ac.in
- Recruiting
Christian Medical College CMC Pulmonary Outpatient Department
Vellore
DJ Christopher, djchris@cmcvellore.ac.in
- Recruiting
Primary care clinics (Shalom/LCC, CHAD)
Vellore
DJ Christopher, djchris@cmcvellore.ac.in
Uganda2 sites, 2 recruiting
- Recruiting
Kisenyi Health Center
Kampala
William Worodria, worodria@yahoo.com
- Recruiting
Mulago Outpatient Department
Kampala
William Worodria, worodria@yahoo.com
Vietnam2 sites, 2 recruiting
- Recruiting
Hanoi Lung Hospital, Outpatient departments
Hanoi
Nhung Nguyen, vietnhung@yahoo.com
- Recruiting
National Lung Hospital, Outpatient departments
Hanoi
Nhung Nguyen, vietnhung@yahoo.com
Georgia1 site, 1 recruiting
- Recruiting
National Center for Tuberculosis and Lung Diseases
Tbilisi
Nestani Tukvadze, Nestan Tukvadze <marikushane@yahoo.com>
Nigeria1 site, 1 recruiting
- Recruiting
Zankli Research Center
Abuja
John Bimba, MD, john.bimba@binghamuni.edu.ng
Philippines1 site, 1 recruiting
- Recruiting
De La Salle Medical and Health Sciences Institute
Dasmariñas
Charles Yu, chrlsyu@yahoo.com
Zambia1 site, 1 recruiting
- Recruiting
Centre for Infectious Disease Research in Zambia
Lusaka
Monde Muyoyeta, Bsc, MBChB, PhD, monde.muyoyeta@cidrz.org
About this study
Official title: Rapid Research in Diagnostics Development for TB Network (R2D2 TB Network) Study
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.
Read the detailed description
The Rapid Research in Diagnostics Development for TB Network (R2D2 TB Network) study seeks to identify and rigorously assess promising early stage tuberculosis (TB) triage, diagnostic and drug resistance tests (hereafter referred to as "novel tests") in clinical studies conducted in settings of intended use. Rapid diagnosis, identification of drug resistance and effective treatment are critical for improving patient outcomes and reducing TB transmission. However, analysis of care cascades and prevalence surveys indicate that 40-60% of patients with TB are not initiated on effective treatment.1,2 The different types of tests required to reduce this "diagnostic gap" have been described in the form of target product profiles (TPPs). The highest- priority TPPs are for: 1) a point-of-care, non-sputum biomarker-based test to facilitate rapid TB diagnosis using easily accessible samples (a biomarker-based diagnostic test) and 2) a simple, low-cost test that can be used by front-line health workers to rule-out TB (a triage test). The R2D2 TB Network study will evaluate the sensitivity and specificity of novel triage and diagnostic tests against a reference standard including sputum Xpert® MTB/RIF (Mycobacterium tuberculosis/Rifampin) Ultra and sputum mycobacterial culture. The sensitivity and specificity of rapid drug susceptibility tests (rDST) will be compared against a reference standard including culture-based phenotypic DST and whole genome sequencing (WGS) of mycobacterial DNA. In addition, the usability of novel tests will be assessed through direct observations and surveys of routine health workers.
- Conditions
- Tuberculosis
- Being tested
- Novel mycobacterial culture techniques, Novel sputum smear microscopy techniques, Sputum-based molecular assays, Tongue swab-based molecular assays, Urine LAM assays
- Keywords
- Tuberculosis, Diagnostics, Global Health
- Medical subject headings
- Tuberculosis
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Novel mycobacterial culture techniquesDiagnostic test
We will evaluate tests intended to make culture more sensitive, faster, and have less contamination.
Novel sputum smear microscopy techniquesDiagnostic test
We will evaluate new staining techniques or visualization methods to increase the sensitivity of smear microscopy.
Sputum-based molecular assaysDiagnostic test
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 assaysDiagnostic test
We will evaluate semi-automated or automated molecular assays intended for use at near point of care or point of care.
Urine LAM assaysDiagnostic test
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 assaysDiagnostic test
We will evaluate assays measuring host immune response parameters intended for use at near point of care or point of care.
Breath-based assaysDiagnostic test
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 toolsDiagnostic test
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 assaysDiagnostic test
We will evaluate assays using phages to lyse mycobacterial cells for detection of DNA or antigens.
Cartridge-based molecular assays for detecting drug resistanceDiagnostic test
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 resistanceDiagnostic test
We will evaluate targeted and whole genome sequencing assays.
| Study group | Role | What they receive |
|---|---|---|
| Evaluation of various novel TB triage and diagnostic tests. | Experimental | For the novel TB triage and diagnostic tests, the investigators will conduct large-scale evaluation of design-locked tests in a cohort of adults with presumed TB, with nested feasibility/pilot studies of early and late prototype tests. The investigators aim to enroll 300-450 participants per year at each of five enrollment sites for evaluation of various novel TB triage and diagnostic tests and 50 health workers to assess test usability. Receives: Diagnostic Test: Novel mycobacterial culture techniques; Diagnostic Test: Novel sputum smear microscopy techniques; Diagnostic Test: Sputum-based molecular assays; Diagnostic Test: Tongue swab-based molecular assays; Diagnostic Test: Urine LAM assays; Diagnostic Test: Blood-based host immune response assays; Diagnostic Test: Breath-based assays; Diagnostic Test: Artificial intelligence-based digital health tools; Diagnostic Test: Phage-based assays |
| Evaluation of novel rDST assays | Experimental | Clinicians at participating sites will be asked to refer adult patients with rifampin-resistance identified by routine molecular testing. The investigators aim to enroll 100-200 patients per year at each of three enrollment sites for evaluation of novel rDST assays. Receives: Diagnostic Test: Cartridge-based molecular assays for detecting drug resistance; Diagnostic Test: Sequencing-based assays for detecting drug resistance |
What is being measured
The primary outcome is the main question the study is designed to answer.
Sensitivity
Number of positive results for a given index test/(Total positive + negative results for a given index test) among patients with TB using the microbiological reference standard
Measured: 7 months
Specificity
Number of negative results for a given index test/(Total positive + negative results for a given index test) among patients without TB using the microbiological reference standard
Measured: 7 months
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted11 Jun 2021
- Study start14 Apr 2021
- Primary completion31 May 2031 (estimated)
- Study completion31 May 2031 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (42)Papers the sponsor has linked to this study.
- Other trials for TuberculosisStudies of the same condition, open and under way.
- More trials run by University of California, San FranciscoThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Diagnosis
- Allocation
- Non-randomised
- Intervention model
- Parallel groups
- Masking
- None (open label)
- Enrolment
- 26,436 participants (estimated)
Sponsor and investigators
- Lead sponsor
- University of California, San Francisco
- Sponsor type
- University, hospital or other
- Collaborators
- University Hospital Heidelberg, Christian Medical College, Vellore, India, Vietnam National Lung Hospital, De La Salle University Medical Center, University of Stellenbosch, Makerere University, Johns Hopkins Bloomberg School of Public Health, Harvard Medical School (HMS and HSDM), Stanford University, Foundation for Innovative New Diagnostics, Switzerland, Socios En Salud Sucursal, Peru, Federal University of Mato Grosso, Medical Research Council, National Center for Tuberculosis and Lung Disease, Tbilisi, Georgia, Centre for Infectious Disease Research in Zambia, National Institute of Allergy and Infectious Diseases (NIAID), Zankli Research Center, University of California, Irvine, Johns Hopkins University
- Responsible party
- Sponsor
- Investigators
- Adithya Cattamanchi, MD, Principal investigator, University of California, San Francisco
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT04923958
- Sponsor's protocol ID
- U01AI152087
- Other IDs
- U01AI152087, R01AI190419
- Acronym
- R2D2TB Network
- Status last verified
- May 2026
- First submitted
- 7 Jun 2021
- Last updated
- 6 May 2026
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- Yes
- Individual data sharing
- No
Publications
Cho SN, Brennan PJ. Tuberculosis: diagnostics. Tuberculosis (Edinb). 2007 Aug;87 Suppl 1:S14-7. doi: 10.1016/j.tube.2007.05.001. Epub 2007 Jun 20.
PubMed 17584529World Health Organization. Global tuberculosis report Geneva, Switzerland: World Health Organization, 2015.
Boehme CC, Nabeta P, Hillemann D, Nicol MP, Shenai S, Krapp F, Allen J, Tahirli R, Blakemore R, Rustomjee R, Milovic A, Jones M, O'Brien SM, Persing DH, Ruesch-Gerdes S, Gotuzzo E, Rodrigues C, Alland D, Perkins MD. Rapid molecular detection of tuberculosis and rifampin resistance. N Engl J Med. 2010 Sep 9;363(11):1005-15. doi: 10.1056/NEJMoa0907847. Epub 2010 Sep 1.
PubMed 20825313Walusimbi S, Bwanga F, De Costa A, Haile M, Joloba M, Hoffner S. Meta-analysis to compare the accuracy of GeneXpert, MODS and the WHO 2007 algorithm for diagnosis of smear-negative pulmonary tuberculosis. BMC Infect Dis. 2013 Oct 30;13:507. doi: 10.1186/1471-2334-13-507.
PubMed 24172543World Health Organization. Rapid Implementation of the Xpert MTB / RIF diagnostic test. Technical and operational 'how-to' practical considerations. Geneva, Switzerland, 2011.
Systematic Screening for Active Tuberculosis: Principles and Recommendations. Geneva: World Health Organization; 2013. Available from http://www.ncbi.nlm.nih.gov/books/NBK294083/
PubMed 25996015World Health Organization. Drug-resistant TB. https://www.who.int/tb/areas-of-work/drug-resistant-tb/en/.
Dalton T, Cegielski P, Akksilp S, Asencios L, Campos Caoili J, Cho SN, Erokhin VV, Ershova J, Gler MT, Kazennyy BY, Kim HJ, Kliiman K, Kurbatova E, Kvasnovsky C, Leimane V, van der Walt M, Via LE, Volchenkov GV, Yagui MA, Kang H; Global PETTS Investigators; Akksilp R, Sitti W, Wattanaamornkiet W, Andreevskaya SN, Chernousova LN, Demikhova OV, Larionova EE, Smirnova TG, Vasilieva IA, Vorobyeva AV, Barry CE 3rd, Cai Y, Shamputa IC, Bayona J, Contreras C, Bonilla C, Jave O, Brand J, Lancaster J, Odendaal R, Chen MP, Diem L, Metchock B, Tan K, Taylor A, Wolfgang M, Cho E, Eum SY, Kwak HK, Lee J, Lee J, Min S, Degtyareva I, Nemtsova ES, Khorosheva T, Kyryanova EV, Egos G, Perez MT, Tupasi T, Hwang SH, Kim CK, Kim SY, Lee HJ, Kuksa L, Norvaisha I, Skenders G, Sture I, Kummik T, Kuznetsova T, Somova T, Levina K, Pariona G, Yale G, Suarez C, Valencia E, Viiklepp P. Prevalence of and risk factors for resistance to second-line drugs in people with multidrug-resistant tuberculosis in eight countries: a prospective cohort study. Lancet. 2012 Oct 20;380(9851):1406-17. doi: 10.1016/S0140-6736(12)60734-X. Epub 2012 Aug 30.
PubMed 22938757Gandhi NR, Moll A, Sturm AW, Pawinski R, Govender T, Lalloo U, Zeller K, Andrews J, Friedland G. Extensively drug-resistant tuberculosis as a cause of death in patients co-infected with tuberculosis and HIV in a rural area of South Africa. Lancet. 2006 Nov 4;368(9547):1575-80. doi: 10.1016/S0140-6736(06)69573-1.
PubMed 17084757Masjedi MR, Farnia P, Sorooch S, Pooramiri MV, Mansoori SD, Zarifi AZ, Akbarvelayati A, Hoffner S. Extensively drug-resistant tuberculosis: 2 years of surveillance in Iran. Clin Infect Dis. 2006 Oct 1;43(7):841-7. doi: 10.1086/507542. Epub 2006 Aug 21.
PubMed 16941364Prasad R, Singh A, Balasubramanian V, Gupta N. Extensively drug-resistant tuberculosis in India: Current evidence on diagnosis & management. Indian J Med Res. 2017 Mar;145(3):271-293. doi: 10.4103/ijmr.IJMR_177_16.
PubMed 28749390Yoon C, Dowdy DW, Esmail H, MacPherson P, Schumacher SG. Screening for tuberculosis: time to move beyond symptoms. Lancet Respir Med. 2019 Mar;7(3):202-204. doi: 10.1016/S2213-2600(19)30039-6. No abstract available.
PubMed 30823972Organization WH. High-priority target product profiles for new tuberculosis diagnostics: report of a consensus meeting. Geneva, Switzerland: WHO Press; 2014. p. 98.
World Health Organization. High-priority target product profiles for new tuberculosis diagnostics: report of a consensus meeting. Geneva, Switzerland, 2014.
UNITAID. TB Diagnostics Market in Select High-Burden Countries: Current Market and Future Opportunities for Novel Diagnostics. Geneva, Switzerland, 2015.
Study at a glance
From the registry record, last updated by the sponsor on 6 May 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Rapid Research in Diagnostics Development for TB Network (R2D2 TB Network) Study
- ClinicalTrials.gov ID
- NCT04923958
- Acronym / sponsor ID
- R2D2TB Network / U01AI152087
- Conditions
- Tuberculosis
- Keywords
- Tuberculosis, Diagnostics, Global Health
- Study type
- Interventional
- Recruitment status
- Recruiting
- Enrolment
- 26,436 participants (estimated)
- Lead sponsor
- University of California, San FranciscoUniversity, hospital or other
- Collaborators
- University Hospital Heidelberg, Christian Medical College, Vellore, India, Vietnam National Lung Hospital, De La Salle University Medical Center, University of Stellenbosch, Makerere University, Johns Hopkins Bloomberg School of Public Health, Harvard Medical School (HMS and HSDM), Stanford University, Foundation for Innovative New Diagnostics, Switzerland, Socios En Salud Sucursal, Peru, Federal University of Mato Grosso, Medical Research Council, National Center for Tuberculosis and Lung Disease, Tbilisi, Georgia, Centre for Infectious Disease Research in Zambia, National Institute of Allergy and Infectious Diseases (NIAID), Zankli Research Center, University of California, Irvine, Johns Hopkins University
- Study start
- 14 Apr 2021 (actual)
- Primary completion
- 31 May 2031 (estimated)
- Study completion
- 31 May 2031 (estimated)
- First posted
- 11 Jun 2021 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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.
Detailed description
The Rapid Research in Diagnostics Development for TB Network (R2D2 TB Network) study seeks to identify and rigorously assess promising early stage tuberculosis (TB) triage, diagnostic and drug resistance tests (hereafter referred to as "novel tests") in clinical studies conducted in settings of intended use. Rapid diagnosis, identification of drug resistance and effective treatment are critical for improving patient outcomes and reducing TB transmission. However, analysis of care cascades and prevalence surveys indicate that 40-60% of patients with TB are not initiated on effective treatment.1,2 The different types of tests required to reduce this "diagnostic gap" have been described in the form of target product profiles (TPPs). The highest- priority TPPs are for: 1) a point-of-care, non-sputum biomarker-based test to facilitate rapid TB diagnosis using easily accessible samples (a biomarker-based diagnostic test) and 2) a simple, low-cost test that can be used by front-line health workers to rule-out TB (a triage test). The R2D2 TB Network study will evaluate the sensitivity and specificity of novel triage and diagnostic tests against a reference standard including sputum Xpert® MTB/RIF (Mycobacterium tuberculosis/Rifampin) Ultra and sputum mycobacterial culture. The sensitivity and specificity of rapid drug susceptibility tests (rDST) will be compared against a reference standard including culture-based phenotypic DST and whole genome sequencing (WGS) of mycobacterial DNA. In addition, the usability of novel tests will be assessed through direct observations and surveys of routine health workers.
Study design
- Primary purpose
- Diagnosis
- Allocation
- Non-randomised
- Intervention model
- Parallel groups
- Masking
- None (open label)
- Number of arms
- 2
| Arm | Type | Receives |
|---|---|---|
| Evaluation of various novel TB triage and diagnostic tests. | Experimental | Diagnostic Test: Novel mycobacterial culture techniques, Diagnostic Test: Novel sputum smear microscopy techniques, Diagnostic Test: Sputum-based molecular assays, Diagnostic Test: Tongue swab-based molecular assays, Diagnostic Test: Urine LAM assays, Diagnostic Test: Blood-based host immune response assays, Diagnostic Test: Breath-based assays, Diagnostic Test: Artificial intelligence-based digital health tools, Diagnostic Test: Phage-based assaysFor the novel TB triage and diagnostic tests, the investigators will conduct large-scale evaluation of design-locked tests in a cohort of adults with presumed TB, with nested feasibility/pilot studies of early and late prototype tests. The investigators aim to enroll 300-450 participants per year at each of five enrollment sites for evaluation of various novel TB triage and diagnostic tests and 50 health workers to assess test usability. |
| Evaluation of novel rDST assays | Experimental | Diagnostic Test: Cartridge-based molecular assays for detecting drug resistance, Diagnostic Test: Sequencing-based assays for detecting drug resistanceClinicians at participating sites will be asked to refer adult patients with rifampin-resistance identified by routine molecular testing. The investigators aim to enroll 100-200 patients per year at each of three enrollment sites for evaluation of novel rDST assays. |
Who may qualify
- Ages
- 12 years and older
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Child, Adult, Older adult
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Novel mycobacterial culture techniquesWe will evaluate tests intended to make culture more sensitive, faster, and have less contamination. | Diagnostic test | Evaluation of various novel TB triage and diagnostic tests. |
| Novel sputum smear microscopy techniquesWe will evaluate new staining techniques or visualization methods to increase the sensitivity of smear microscopy. | Diagnostic test | Evaluation of various novel TB triage and diagnostic tests. |
| Sputum-based molecular assaysWe will evaluate semi-automated or automated molecular assays intended for use at near point of care or point of care. | Diagnostic test | Evaluation of various novel TB triage and diagnostic tests. |
| Tongue swab-based molecular assaysWe will evaluate semi-automated or automated molecular assays intended for use at near point of care or point of care. | Diagnostic test | Evaluation of various novel TB triage and diagnostic tests. |
| Urine LAM assaysWe 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 | Evaluation of various novel TB triage and diagnostic tests. |
| Blood-based host immune response assaysWe will evaluate assays measuring host immune response parameters intended for use at near point of care or point of care. | Diagnostic test | Evaluation of various novel TB triage and diagnostic tests. |
| Breath-based assaysWe 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 | Evaluation of various novel TB triage and diagnostic tests. |
| Artificial intelligence-based digital health toolsWe 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 | Evaluation of various novel TB triage and diagnostic tests. |
| Phage-based assaysWe will evaluate assays using phages to lyse mycobacterial cells for detection of DNA or antigens. | Diagnostic test | Evaluation of various novel TB triage and diagnostic tests. |
| Cartridge-based molecular assays for detecting drug resistanceWe will evaluate semi-automated or automated molecular assays intended for use at near point of care or point of care. | Diagnostic test | Evaluation of novel rDST assays |
| Sequencing-based assays for detecting drug resistanceWe will evaluate targeted and whole genome sequencing assays. | Diagnostic test | Evaluation of novel rDST assays |
Primary outcome
Sensitivity
Time frame: 7 months
Number of positive results for a given index test/(Total positive + negative results for a given index test) among patients with TB using the microbiological reference standard
Specificity
Time frame: 7 months
Number of negative results for a given index test/(Total positive + negative results for a given index test) among patients without TB using the microbiological reference standard
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 6 May 2026.
- Background: PubMed 17584529Cho SN, Brennan PJ. Tuberculosis: diagnostics. Tuberculosis (Edinb). 2007 Aug;87 Suppl 1:S14-7. doi: 10.1016/j.tube.2007.05.001. Epub 2007 Jun 20.
- BackgroundWorld Health Organization. Global tuberculosis report Geneva, Switzerland: World Health Organization, 2015.
- Background: PubMed 20825313Boehme CC, Nabeta P, Hillemann D, Nicol MP, Shenai S, Krapp F, Allen J, Tahirli R, Blakemore R, Rustomjee R, Milovic A, Jones M, O'Brien SM, Persing DH, Ruesch-Gerdes S, Gotuzzo E, Rodrigues C, Alland D, Perkins MD. Rapid molecular detection of tuberculosis and rifampin resistance. N Engl J Med. 2010 Sep 9;363(11):1005-15. doi: 10.1056/NEJMoa0907847. Epub 2010 Sep 1.
- Background: PubMed 24172543Walusimbi S, Bwanga F, De Costa A, Haile M, Joloba M, Hoffner S. Meta-analysis to compare the accuracy of GeneXpert, MODS and the WHO 2007 algorithm for diagnosis of smear-negative pulmonary tuberculosis. BMC Infect Dis. 2013 Oct 30;13:507. doi: 10.1186/1471-2334-13-507.
- BackgroundWorld Health Organization. Rapid Implementation of the Xpert MTB / RIF diagnostic test. Technical and operational 'how-to' practical considerations. Geneva, Switzerland, 2011.
- Background: PubMed 25996015Systematic Screening for Active Tuberculosis: Principles and Recommendations. Geneva: World Health Organization; 2013. Available from http://www.ncbi.nlm.nih.gov/books/NBK294083/
- BackgroundWorld Health Organization. Drug-resistant TB. https://www.who.int/tb/areas-of-work/drug-resistant-tb/en/.
- Background: PubMed 22938757Dalton T, Cegielski P, Akksilp S, Asencios L, Campos Caoili J, Cho SN, Erokhin VV, Ershova J, Gler MT, Kazennyy BY, Kim HJ, Kliiman K, Kurbatova E, Kvasnovsky C, Leimane V, van der Walt M, Via LE, Volchenkov GV, Yagui MA, Kang H; Global PETTS Investigators; Akksilp R, Sitti W, Wattanaamornkiet W, Andreevskaya SN, Chernousova LN, Demikhova OV, Larionova EE, Smirnova TG, Vasilieva IA, Vorobyeva AV, Barry CE 3rd, Cai Y, Shamputa IC, Bayona J, Contreras C, Bonilla C, Jave O, Brand J, Lancaster J, Odendaal R, Chen MP, Diem L, Metchock B, Tan K, Taylor A, Wolfgang M, Cho E, Eum SY, Kwak HK, Lee J, Lee J, Min S, Degtyareva I, Nemtsova ES, Khorosheva T, Kyryanova EV, Egos G, Perez MT, Tupasi T, Hwang SH, Kim CK, Kim SY, Lee HJ, Kuksa L, Norvaisha I, Skenders G, Sture I, Kummik T, Kuznetsova T, Somova T, Levina K, Pariona G, Yale G, Suarez C, Valencia E, Viiklepp P. Prevalence of and risk factors for resistance to second-line drugs in people with multidrug-resistant tuberculosis in eight countries: a prospective cohort study. Lancet. 2012 Oct 20;380(9851):1406-17. doi: 10.1016/S0140-6736(12)60734-X. Epub 2012 Aug 30.
- Background: PubMed 17084757Gandhi NR, Moll A, Sturm AW, Pawinski R, Govender T, Lalloo U, Zeller K, Andrews J, Friedland G. Extensively drug-resistant tuberculosis as a cause of death in patients co-infected with tuberculosis and HIV in a rural area of South Africa. Lancet. 2006 Nov 4;368(9547):1575-80. doi: 10.1016/S0140-6736(06)69573-1.
- Background: PubMed 16941364Masjedi MR, Farnia P, Sorooch S, Pooramiri MV, Mansoori SD, Zarifi AZ, Akbarvelayati A, Hoffner S. Extensively drug-resistant tuberculosis: 2 years of surveillance in Iran. Clin Infect Dis. 2006 Oct 1;43(7):841-7. doi: 10.1086/507542. Epub 2006 Aug 21.
- Background: PubMed 28749390Prasad R, Singh A, Balasubramanian V, Gupta N. Extensively drug-resistant tuberculosis in India: Current evidence on diagnosis & management. Indian J Med Res. 2017 Mar;145(3):271-293. doi: 10.4103/ijmr.IJMR_177_16.
- Background: PubMed 30823972Yoon C, Dowdy DW, Esmail H, MacPherson P, Schumacher SG. Screening for tuberculosis: time to move beyond symptoms. Lancet Respir Med. 2019 Mar;7(3):202-204. doi: 10.1016/S2213-2600(19)30039-6. No abstract available.
- Individual participant dataSharing planned: No
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
Adithya Cattamanchi, MD principal investigator
University of California, San Francisco
16 sites in 8 countries: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing Novel mycobacterial culture techniques, Novel sputum smear microscopy techniques and Sputum-based molecular assays in people with Tuberculosis, run by University of California, San Francisco at 16 sites in 8 countries.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: looking for participants now, as of the sponsor's last update on 6 May 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 16 sites in South Africa, India, Uganda, Vietnam, Georgia and 3 more countries. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
Contact Adithya Cattamanchi, MD (+1-415-206-5489, adithya.cattamanchi@ucsf.edu), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Sensitivity (time frame: 7 months). The study lists 2 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT04923958, which also lists 42 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 6 May 2026; AzTrials last refreshed its copy on 27 Oct 2026.