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NCT06702774
Research on Key Interventional Technologies for Controlling the Epidemic in High-prevalence Areas of Tuberculosis in Guangxi, China
NA trial testing Active case finding in Tuberculosis (TB) in 72,000 participants. Currently enrolling.
31 January 2025
Quick facts
| Lead sponsor | University of Toronto |
|---|---|
| Phase | NA |
| Status | Recruiting now |
| Study type | INTERVENTIONAL |
| Allocation | randomized |
| Design | parallel |
| Masking | single |
| Primary purpose | screening |
| Enrollment | 72,000 |
| Start date | 20 November 2021 |
| Primary completion | 31 January 2025 |
| Estimated completion | 30 April 2025 |
| Sites | 1 location across China |
Drugs / interventions tested
- Active case finding
Conditions studied
- Tuberculosis (TB) — all drugs for Tuberculosis (TB) →
Sponsor
University of Toronto
Who can join
15 and older, any sex, with Tuberculosis (TB). Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
The goal of this study is to find out if using mobile vans with advanced technology can help reduce tuberculosis (TB) in rural Guangxi, China. The study will also examine how practical and cost-effective this approach is. The main questions it aims to answer are: 1) Does this new screening method lower the number of TB cases among high-risk groups? and 2) Is this method practical and acceptable for communities and healthcare workers? Participants in the study will: 1) undergo TB screening with mobile vans that use artificial intelligence (AI) to read chest X-rays, 2) answer a short questionnaire about their symptoms and health history, and 3) provide sputum samples for GeneXpert testing if needed. Some communities will receive the new screening method, while others will continue with usual care. Researchers will compare TB rates in the two groups over three years to see if the new approach works better for TB control. If successful, this method could be used to improve TB control in other areas.
Publications & conference data
2 peer-reviewed publications reference this trial (live from Europe PMC):
-
Active case finding using mobile vans with artificial intelligence aided radiology tests and sputum collection for rapid diagnostic tests to reduce tuberculosis prevalence among high-risk population in rural China: Protocol for a pragmatic trial.
Wei X, Liang D, Zhang Z, Thorpe KE, et al · · 2025 · PMID 40215230 · DOI 10.1371/journal.pone.0316073 -
Active case finding using mobile vans equipped with artificial intelligence aided radiology tests and sputum collection for rapid diagnostic tests to reduce tuberculosis prevalence in rural China: protocol for a pragmatic trial
Wei X, Liang D, Zhang Z, Thorpe K, et al · · 2024 · DOI 10.1101/2024.12.08.24318678
Verify or expand the search:
- PubMed search for NCT06702774
- Europe PMC full search
- ASCO Meeting Library
- ESMO Meeting Library
- bioRxiv preprints
- medRxiv preprints
- Google Scholar
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Verify against primary sources
- ClinicalTrials.gov — authoritative US registry record
- WHO ICTRP — international registry index
- EU Clinical Trials Register
- Sponsor press releases (Google)
- Trial protocol + status: ClinicalTrials.gov NCT06702774 (US National Library of Medicine, public domain)
- Publications: Europe PMC API search by NCT ID, retrieved 10 June 2026
- Drug + disease cross-links: matched in real time against Drug Landscape's normalised drug + company + condition tables
- Sponsor: as reported to ClinicalTrials.gov by University of Toronto
- Last refreshed: 6 December 2024
Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT06702774.
Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing