- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT01363765
Xpert MTB/Rif, a New Tool for the Diagnosis of Pulmonary Tuberculosis in Two Municipalities in Brazil
Pilot Roll Out of the Xpert MTB/Rif for the Diagnosis of Pulmonary Tuberculosis in Two Municipalities in Brazil: a Stepped Wedge Trial
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
The main study consisted of a group-randomized pragmatic trial following a stepped-wedge design. The GeneXpert machines will be installed in laboratories of the basic health units in Rio de Janeiro and Manaus, two cities with a high burden of the disease in Brazil. Doctors will prescribe routine tests in the clinics. When sputum specimens arrive in the laboratory, instead of performing smears, the Xpert MTB/Rif will be performed during the intervention period. If positive, a sputum smear will also be performed. The intervention period will be preceded by an observation period during which routine will be kept unchanged, i.e., only smears will be performed. The observation period will serve as a comparator (control). The investigators will then see how many more cases were detected during the intervention period, and in particular, how many smear-negative cases were detected, compared to the observation period.
A total of 35,000 specimens are expected to be tested with the new technology in 14 laboratories. Laboratories, not individuals, will be randomized.
Study Type
Enrollment (Actual)
Phase
- Phase 4
Contacts and Locations
Study Locations
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RJ
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Rio de Janeiro, RJ, Brazil, 22000
- Laboratories of Rio de Janeiro Health Department
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Child
- Adult
- Older Adult
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
laboratories -and not subjects - will be randomized. All laboratories will start doing smears, when indicated by randomization, they will switch to Xpert MTB/Rif. There are no inclusion or exclusion criteria for the labs. Sputum specimens from non-diagnostic (follow up) patients, second samples for diagnostic tests, insufficient volume/visible blood specimens will be excluded from the Xpert testing.
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Diagnostic
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
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Experimental: Xpert MTB/Rif
Sputum specimens arriving during intervention period will be submitted to this technology, a real-time automated polymerase chain reaction test
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Automatized RT-PCR for the detection of Mycobacterium tuberculosis, the agent of TB, in sputum samples
Other Names:
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Active Comparator: Sputum smear
Sputum smears arriving in the laboratory during the observation period will be submitted to the classic routine smear staining
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Sputum smears arriving in the laboratory during the observation period will be submitted to the classic routine smear staining.
This would be the non-intervention (control) arm.
Other Names:
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Notification Rate Ratio
Time Frame: October 2012 (up to 2 years)
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Proportion of additional bacteriologically confirmed notified TB cases during intervention period compared to the observation period Patients notified who had a positive test result.
The notification rate (NR, i.e., number of notifications/100,000 population/year) ratio (NRR) is defined as the NR in the intervention period/NR in the observation period, and is presented in the statistical analysis section.
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October 2012 (up to 2 years)
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Costs Per Detected Case
Time Frame: October 2012 (up to 2 years)
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Costs per detected case were analyzed using a decision tree model from the national health system perspective.
Incremental cost-effectiveness ratio (ICER) was calculated as (costs with Xpert - costs with smears)/(cases detected with Xpert - cases detected with smears).
Negative ICERs mean cost saving.
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October 2012 (up to 2 years)
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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NRR of Non-laboratory Tested TB (Cluster-averaged).
Time Frame: October 2012 (up to 2 years)
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The notification rate (NR, i.e., number of notifications/100,000 population/year) ratio (NRR) is defined as the NR in the intervention period/NR in the observation period, and is presented in the statistical analysis section. Numbers are participants in the notification database who were not in the lab (all tests done) database; denominators are population taking into account growth of the population during the study period, adjusted for variations in monthly number of opening days (by weighing the number of person-months for the proportion of suspects with samples examined each month out of the total number examined by the laboratory during the whole study period), stratified by sex and age group. Routine practices were not changed; patients with a high suspicion of TB were, as prior to the study, notified regardless of a confirmatory test. |
October 2012 (up to 2 years)
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NRR of Negative-laboratory TB (Cluster-averaged).
Time Frame: October 2012 (up to 2 years)
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The notification rate (NR, i.e., number of notifications/100,000 population/year) ratio (NRR) is defined as the NR in the intervention period/NR in the observation period, and is presented in the statistical analysis section. Numbers are driven from linkage between lab (all tests done) and notification databases; denominators are population taking into account growth of the population during the study period, adjusted for variations in monthly number of opening days (by weighing the number of person-months for the proportion of suspects with samples examined each month out of the total number examined by the laboratory during the whole study period), stratified by sex and age group. Routine practices were not changed; patients with a high suspicion of TB were, as prior to the study, notified regardless of a confirmatory test. |
October 2012 (up to 2 years)
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Collaborators and Investigators
Sponsor
Collaborators
Investigators
- Study Chair: Frank Cobelens, MD, PhD, AIGHD Foundation and Department of Global Health, Academic Medical Center, University of Amsterdam
Publications and helpful links
General Publications
- Trajman A, Durovni B, Saraceni V, Menezes A, Cordeiro-Santos M, Cobelens F, Van den Hof S. Impact on Patients' Treatment Outcomes of XpertMTB/RIF Implementation for the Diagnosis of Tuberculosis: Follow-Up of a Stepped-Wedge Randomized Clinical Trial. PLoS One. 2015 Apr 27;10(4):e0123252. doi: 10.1371/journal.pone.0123252. eCollection 2015. Erratum In: PLoS One. 2016;11(5):e0156471.
- Durovni B, Saraceni V, van den Hof S, Trajman A, Cordeiro-Santos M, Cavalcante S, Menezes A, Cobelens F. Impact of replacing smear microscopy with Xpert MTB/RIF for diagnosing tuberculosis in Brazil: a stepped-wedge cluster-randomized trial. PLoS Med. 2014 Dec 9;11(12):e1001766. doi: 10.1371/journal.pmed.1001766. eCollection 2014 Dec. Erratum In: PLoS Med. 2015 Dec;12(12):e1001928.
Study record dates
Study Major Dates
Study Start
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Estimate)
Study Record Updates
Last Update Posted (Estimate)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- OPPGH5254
- GH5254 (Other Grant/Funding Number: Bill and Melinda Gates Foundation)
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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