Active Close Contact Investigation of Tuberculosis Through Computer-aided Detection and Stool Xpert MTB/RIF Among People Living in Ethiopia
CADOOL
1 other identifier
interventional
231
1 country
1
Brief Summary
Tuberculosis is the 13th cause of death from all causes, infecting roughly the 25% of the world population, and Ethiopia is listed among the 30 high-burden countries both for TB and for HIV/TB. In recent years, the immediate consequence of the COVID-19 pandemic was a large fall in the number of newly reported TB cases indicators that represent a relevant drawback in the pursue of the 2025 End TB Milestones. For active case investigation of TB close contacts, WHO recently recommended the use of Computer- aided detection (CAD), a technology that can help chest X-ray interpretation in situations of human resources constrains, and it may be cost-effective in low-resource settings. Also, for tuberculosis diagnosis, widely-available GeneXpert on stool samples showed high diagnostic performances in term of both sensitivity and specificity. It is important to assess alternative modalities that could improve diagnosis during TB contact investigation in Ethiopia and the other countries where TB represents a crucial burden.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started May 2023
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
March 6, 2023
CompletedFirst Posted
Study publicly available on registry
April 18, 2023
CompletedStudy Start
First participant enrolled
May 1, 2023
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 31, 2023
CompletedStudy Completion
Last participant's last visit for all outcomes
December 31, 2024
CompletedApril 18, 2023
April 1, 2023
8 months
March 6, 2023
April 14, 2023
Conditions
Outcome Measures
Primary Outcomes (1)
CAD4TB and Stool GeneXpert Accurancy rate for Diagnosis of TB
The common accuracy metrics (sensitivity, specificity, positive and negative predictive values) when assessing the accuracy of CAD4TB compared to stool Xpert MTB/RIF.
through study completion, an average of 1 year
Secondary Outcomes (3)
Stool GeneXpert and Sputum GeneXpert concordance
12 weeks
Concordance beetwen CAD4TB and Sputum MTB/RIF
through study completion, an average of 1 year
TB incidence rate
through study completion, an average of 1 year
Other Outcomes (3)
Clinical TB diagnosis rate
12 weeks
Tuberculosis False positive rate
through study completion, an average of 1 year
Discordant diagnosis case rate
12 weeks
Study Arms (2)
ARM 1: without computer-aided detection (CAD)
OTHERDiagnosis of tuberculosis without the aid of CAD
ARM 2: with computer-aided detection (CAD)
OTHERDiagnosis of tuberculosis with the aid of CAD
Interventions
After enrolment, each subject will be assessed according to ARM 1 (assessment by clinician #1 without CAD) or ARM 2 (assessment by clinician #1 with CAD). Allocation to sequence ARM 1 or ARM 2 will be performed using a computer-generated random assignment list (with a 1:1 ratio), and assignments will be included in sealed opaque envelopes sequentially numbered. Clinicians cannot be masked to the assessment method (with or without CAD) and cannot be masked to the further assessment (referral for microbiological diagnosis with stool and sputum Xpert) due to care process. However, the statistician will be masked to the assessment during data analysis.
Eligibility Criteria
You may qualify if:
- Index cases will be recruited both among hospitalized patients and patients followed in OPD clinics for completion of TB treatment.
You may not qualify if:
- Household contacts already receiving treatment for active or latent tuberculosis will be excluded from the study.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Doctors with Africa - CUAMMlead
- University of Baricollaborator
- Armauer Hansen Research Institute, Ethiopiacollaborator
Study Sites (1)
St Luke Hospital
Wolisso, Oromia, Ethiopia, Ethiopia
Related Publications (1)
Segala FV, Nigussa W, Guido G, Kenate B, Facci E, Tsegaye A, Gulo B, Manenti F, Bobosha K, Cotugno S, Asmare AB, Cavallin F, Tilahun M, Miccio M, Abdissa A, Putoto G, Saracino A, Di Gennaro F. Active close contact investigation of tuberculosis through computer-aided detection and stool Xpert MTB/RIF among people living in Oromia Region, Ethiopia (CADOOL Study): protocol for a prospective, cross-sectional study. BMJ Open. 2023 Dec 21;13(12):e074968. doi: 10.1136/bmjopen-2023-074968.
PMID: 38135314DERIVED
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Worku Nigussa, MD
Doctors with Africa - CUAMM
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- SINGLE
- Who Masked
- OUTCOMES ASSESSOR
- Masking Details
- Clinicians cannot be masked to the assessment method (with or without CAD) and cannot be masked to the further assessment (referral for microbiological diagnosis with stool and sputum Xpert) due to care process. However, the statistician will be masked to the assessment during data analysis.
- Purpose
- DIAGNOSTIC
- Intervention Model
- SEQUENTIAL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
March 6, 2023
First Posted
April 18, 2023
Study Start
May 1, 2023
Primary Completion
December 31, 2023
Study Completion
December 31, 2024
Last Updated
April 18, 2023
Record last verified: 2023-04
Data Sharing
- IPD Sharing
- Will not share
All information obtained will be kept confidential. Selected investigators will have access to the data. All records containing personal identifiers will be stored separately from study records identified by code number. All CRFs and the study database will only include the study number. The database will be protected by password and will benefit of the security features provided by Redcap. International partners will sign a dedicated Data Protection Agreement. All study-related information will be stored securely at the study site. All electronic data will be secured with password-protected access systems. No information that reveals the identity of any patient will be released or published without consent.