DiagnosisCADOOLNCT05818059
Active Close Contact Investigation of Tuberculosis Through Computer-aided Detection and Stool Xpert MTB/RIF Among People Living in Ethiopia
A study testing Diagnosis of Tuberculosis with computer-aided detection (CAD) software in people with Diagnosis and Tuberculosis, run by Doctors with Africa - CUAMM at 1 site in Ethiopia.
Trial 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. Read more about this study
- Who is it for?
- Ages 4 years and olderHealthy volunteers can take part
- Conditions the study is for
- Diagnosis, Tuberculosis, geneXpert
- What is being tested?
- Diagnosis of Tuberculosis with computer-aided detection (CAD) software
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 231 participants
- Where
- 1 siteEthiopia
- Study dates
- May 2023to 31 Dec 2024
- Phase
- Interventional
- Are there results?
- None posted in the registry
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 4 years and older
- All sexes
- Healthy volunteers accepted
- Child, Adult, Older adult
Who may be able to join
- All patients diagnosed with pulmonary tuberculosis and at least one sputum sample positive for acid- fast bacilli on sputum smear or M. tuberculosis on sputum Xpert or smear will be eligible for inclusion as index cases.
- Index cases will be recruited both among hospitalized patients and patients followed in OPD clinics for completion of TB treatment.
- All household contacts of at least 4 years of age will be eligible for inclusion if they lived in the same dwelling as the index patient during the two months prior to the diagnosis of the index patient.
- Pregnant women are eligible for the inclusion but, to minimize radiation exposure risk to the fetus, chest X-ray will not be offered.
Who cannot join
- Household contacts already receiving treatment for active or latent tuberculosis will be excluded from the study.
Trial locations and contacts
1 site in 1 country.
About this study
Official title: Active Close Contact Investigation of Tuberculosis Through Computer-aided Detection and Stool Xpert MTB/RIF Among People Living in Oromia Region, Ethiopia: a Prospective, Cross-sectional Study (CADOOL Study)
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.
Read the detailed description
Despite being a preventable and treatable disease, TB infects roughly 25% of the world population, causing an estimated 1.4 million deaths among HIV-negative people (95% uncertainty interval: 1.3- 1.5 million) and 187 000 deaths (95% UI: 158 000-218 000) among people living with HIV. Globally, an estimated 10.6 million people fell ill with tuberculosis only in 2021, increasing from the 10.1 million cases estimated for 2020, thus reversing a long-lasting decreasing trend. Tuberculosis is a disease of poverty, as 87% of all incident cases of TB were registered in the 30 high-burden countries, mainly low-income countries from WHO regions of South-East Asia and Africa. At this regard, the relationship between TB burden and commonly used indicators of underdevelopment is well established. Widely recognized TB determinants include gross domestic product (GDP) and prevalence of undernourishment, the latter, alone, being accountable for an estimated 2 million new TB cases in 2021. As reported by the World Health Organization, the immediate consequence of the COVID-19 pandemic was a large fall in the number of newly reported TB cases and an estimated increase of incident cases of rifampicin-resistant TB, all indicators that represent a relevant drawback in the pursue of the 2025 End TB Milestones. These gap in TB diagnosis include both people who are diagnosed but not reported to local public health authorities and people who are not diagnosed and thus have not entered in care.
For the diagnosis of active TB, the gold standard technique remains seeking for microbiological evidence of infection. This is classically done by sputum smear microscopy and liquid culture with drug susceptibility testing. Culture is the gold standard for the diagnosis, but its use, however, is hampered by the fact that results are available only after 10-21 days and is thus of little or no help in clinical decision-making. Since its endorsement by the WHO guidelines in 2010, Xpert MTB/RIF (Cepheid, CA, USA), a molecular test that can detect mycobacterial DNA and genetic polymorphisms associated with rifampicin resistance, has entered into diagnostic workup in both high- and low-income countries. A new version of the test has been approved by WHO in 2021, Xpert MTB/RIF Ultra, with a sensitivity approaching the one recorded for culture assays, but with the advantage, like its predecessor, of requiring fewer resources and delivering faster results. Along with microbiological testing, detection of radiological abnormalities through chest X-ray has recently gained a lot of attention, and it is now recommended as the standard screening test. A more detailed description of the diagnostic performances of chest X-ray and digital chest X-ray with computer-aided detection is provided in the next paragraph of this introduction.
In recent years, computer-aided detection (CAD) are artificial- intelligence based software that have been developed with the aim to offer automated interpretation of digital CXR images. In broad terms, CAD programs produce a numerical score that interpret CXR alterations in order to quantify the probability of TB. When diagnostic accuracy is assessed against bacteriologically confirmed TB, CAD software sensitivity ranges from 90% to 92%, and specificity ranges from 23% to 66%, fulfilling thus the minimal sensitivity required by WHO for a screening test. These diagnostic performances were confirmed by several prospective studies conducted in low- and middle-income countries (LMIC), systematic reviews and one patient-level meta-analysis, thus leading to the endorsement of CAD technologies by current WHO consolidated TB guidelines for the screening of individuals aged 15 years or older belonging to selected high-risk populations. Among the CAD software packages commercially available, CAD4TB platform version 6 (Delft Imaging Systems, The Netherlands), developed using deep-learning technologies - a type of machine learning technology based on artificial neural networks - releases results in few seconds and was designed to work on patients from 4 years of age. In a recent study conducted, when compared to a microbiological Xpert reference standard, CAD4TB v7 has been shown to have both high efficiency and be cost-effective in high-burden settings, being able to process 132 images per day at the cost of less than 6 USD per person. Even if the technology is validated for the use in individuals aged 4 years or older, very few data exist on the clinical utility of this technology among children.In recent years, attention has been attracted by Xpert MTB/RIF on stool samples, since mycobacteria- containing sputum may be swallowed and then be available for molecular testing. Similarly to Xpert on sputum samples, stool Xpert is able to detect both the presence of mycobacterial DNA and mutations associated with rifampin resistance. The use of Xpert MTB/RIF on stool samples has been introduced in the 2020 WHO guidelines as a possible initial diagnostic test for children with signs and symptoms of pulmonary TB. However, this recommendation is based on low certainty of evidence. Due to lack of available evidence, no recommendation has been issued so far about the use of Xpert on stool samples in the adult population.
Ethiopia is listed among the 30 high-burden countries both for TB and for HIV/TB, transitioning out, in the last Global Tuberculosis Report, from the list of the high-burden countries for multidrug- resistant or rifampicin resistant TB (MDR-RRTB). Annual TB incidence is 132 cases per 100,000 people (95%CI 92-178), with a case-fatality ratio of 15% and most of the cases attributable to undernourishment. Disease incidence and mortality, in both HIV-positive and HIV-uninfected people, is reducing, almost attaining the End TB milestone of a 35% reduction in TB deaths compared to 2015. However, since the pandemic-related disruption on TB services impacted the number of newly diagnosed TB cases, its influence on mortality and overall disease burden is likely yet to be seen.
As in most of low-resources, high-burden countries, provider-initiated contact investigation is rarely carried out in Ethiopia, although contact tracing and evaluation of all persons who have been incontact with an active case of TB is recommended by the latest National Guidelines . The World Health Organization recently updated its screening guidelines, putting emphasis on the importance of the importance of active, provider-initiated screening of at-risk populations, especially households of index TB patients . Epidemiological data about active TB among household contacts are limited but, when reported, prevalence rates are high . Also, a meta-analysis conducted by Gamtesa et al. found that healthcare-seeking behavior in Ethiopia is low even in patients with showing signs and symptoms of TB.
Provider-initiated screening of selected, high-risk populations is a key strategy in the fight towards TB eradication. According to WHO, this approach should entail systematic identification of people with possible TB disease with tests, examinations or other procedures that can be applied rapidly. In this context, data about the clinical impact of the use of CAD technologies in Ethiopia are lacking. Also, data about diagnostic performances of, respectively, CAD software and stool Xpert MTB/RIF in the pediatric population and adult population are needed.
The study will be carried out in at St. Luke Catholic Hospital, Wolisso, in Ethiopia.
St. Luke Catholic Hospital is the referral Hospital in Southwest Shoa zone, Oromia Region, between Addis Ababa and Jimma covering 400km distance. St. Luke Catholic Hospital serves a population from a catchment area of roughly 1.4 million people. As of today, the hospital bed capacity is 208, while mean outpatient department visits are 350 patients per day .
For the year 2021, in St Luke Hospital 207 patients were diagnosed with pulmonary TB. Of those, 164 patients were treated as inpatients, and 43 were treated as outpatients. Out of these, 5 showed Rifampicin resistance. These MDR cases were referred to the Therapeutic Initiating Centres for second line treatment. Among patients treated in OPD clinic, 30 were followed into the hospital TB clinic.
Routine TB screening in St. Luke Catholic Hospital is based on patient-initiated pathway with assessment of signs and symptoms suggestive of TB. Possible TB cases are identified through a clinical visit that may include chest X-ray evaluation. When performed, chest X-ray images are evaluated by on-duty clinicians in digital format.
- Conditions
- Diagnosis, Tuberculosis, geneXpert
- Being tested
- Diagnosis of Tuberculosis with computer-aided detection (CAD) software
- Medical subject headings
- Disease, Tuberculosis
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Diagnosis of Tuberculosis with computer-aided detection (CAD) softwareDiagnostic test
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.
| Study group | Role | What they receive |
|---|---|---|
| ARM 1: without computer-aided detection (CAD) | Other | Diagnosis of tuberculosis without the aid of CAD Receives: Diagnostic Test: Diagnosis of Tuberculosis with computer-aided detection (CAD) software |
| ARM 2: with computer-aided detection (CAD) | Other | Diagnosis of tuberculosis with the aid of CAD Receives: Diagnostic Test: Diagnosis of Tuberculosis with computer-aided detection (CAD) software |
What is being measured
The primary outcome is the main question the study is designed to answer.
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.
Measured: through study completion, an average of 1 year
Secondary outcomes (3)
Stool GeneXpert and Sputum GeneXpert concordance
The concordance between stool GeneXpert and sputum GeneXpert.
Measured: 12 weeks
Concordance beetwen CAD4TB and Sputum MTB/RIF
The common accuracy metrics (sensitivity, specificity, positive and negative predictive values) when assessing the accuracy of CAD4TB compared to Xpert MTB/RIF
Measured: through study completion, an average of 1 year
TB incidence rate
The incidence of new TB cases among participants during the study period.
Measured: through study completion, an average of 1 year
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted18 Apr 2023
- Study startMay 2023 (estimated)
- Primary completion31 Dec 2023 (estimated)
- Study completion31 Dec 2024 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (1)Papers the sponsor has linked to this study.
- Other trials for DiagnosisStudies of the same condition, open and under way.
- 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
- Randomised
- Intervention model
- Sequential
- Model description
- After enrolment, each subject will be assessed according to sequence AB (assessment by clinician #1 without CAD and assessment by clinician #2 with CAD) or sequence BA (assessment by clinician #1 with CAD and assessment by clinician #2 without CAD). Allocation to sequence AB or BA 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.
- Masking
- Single blind
- Who is masked
- Outcomes assessor
- Enrolment
- 231 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Doctors with Africa - CUAMM
- Sponsor type
- University, hospital or other
- Collaborators
- University of Bari, Armauer Hansen Research Institute, Ethiopia
- Responsible party
- Sponsor
- Investigators
- Worku Nigussa, MD, Principal investigator, Doctors with Africa - CUAMM
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT05818059
- Sponsor's protocol ID
- University of Bari
- Acronym
- CADOOL
- Status last verified
- Apr 2023
- First submitted
- 6 Mar 2023
- Last updated
- 18 Apr 2023
- Results posted
- No
- Data monitoring committee
- Yes
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No: 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.
Publications
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.
PubMed 38135314
Study at a glance
From the registry record, last updated by the sponsor on 18 Apr 2023. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Active Close Contact Investigation of Tuberculosis Through Computer-aided Detection and Stool Xpert MTB/RIF Among People Living in Oromia Region, Ethiopia: a Prospective, Cross-sectional Study (CADOOL Study)
- ClinicalTrials.gov ID
- NCT05818059
- Acronym / sponsor ID
- CADOOL / University of Bari
- Conditions
- Diagnosis, Tuberculosis, geneXpert
- Study type
- Interventional
- Recruitment status
- Unknown status
- Enrolment
- 231 participants (estimated)
- Lead sponsor
- Doctors with Africa - CUAMMUniversity, hospital or other
- Collaborators
- University of Bari, Armauer Hansen Research Institute, Ethiopia
- Study start
- May 2023 (estimated)
- Primary completion
- 31 Dec 2023 (estimated)
- Study completion
- 31 Dec 2024 (estimated)
- First posted
- 18 Apr 2023 (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.
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.
Detailed description
Despite being a preventable and treatable disease, TB infects roughly 25% of the world population, causing an estimated 1.4 million deaths among HIV-negative people (95% uncertainty interval: 1.3- 1.5 million) and 187 000 deaths (95% UI: 158 000-218 000) among people living with HIV. Globally, an estimated 10.6 million people fell ill with tuberculosis only in 2021, increasing from the 10.1 million cases estimated for 2020, thus reversing a long-lasting decreasing trend. Tuberculosis is a disease of poverty, as 87% of all incident cases of TB were registered in the 30 high-burden countries, mainly low-income countries from WHO regions of South-East Asia and Africa. At this regard, the relationship between TB burden and commonly used indicators of underdevelopment is well established. Widely recognized TB determinants include gross domestic product (GDP) and prevalence of undernourishment, the latter, alone, being accountable for an estimated 2 million new TB cases in 2021. As reported by the World Health Organization, the immediate consequence of the COVID-19 pandemic was a large fall in the number of newly reported TB cases and an estimated increase of incident cases of rifampicin-resistant TB, all indicators that represent a relevant drawback in the pursue of the 2025 End TB Milestones. These gap in TB diagnosis include both people who are diagnosed but not reported to local public health authorities and people who are not diagnosed and thus have not entered in care.
For the diagnosis of active TB, the gold standard technique remains seeking for microbiological evidence of infection. This is classically done by sputum smear microscopy and liquid culture with drug susceptibility testing. Culture is the gold standard for the diagnosis, but its use, however, is hampered by the fact that results are available only after 10-21 days and is thus of little or no help in clinical decision-making. Since its endorsement by the WHO guidelines in 2010, Xpert MTB/RIF (Cepheid, CA, USA), a molecular test that can detect mycobacterial DNA and genetic polymorphisms associated with rifampicin resistance, has entered into diagnostic workup in both high- and low-income countries. A new version of the test has been approved by WHO in 2021, Xpert MTB/RIF Ultra, with a sensitivity approaching the one recorded for culture assays, but with the advantage, like its predecessor, of requiring fewer resources and delivering faster results. Along with microbiological testing, detection of radiological abnormalities through chest X-ray has recently gained a lot of attention, and it is now recommended as the standard screening test. A more detailed description of the diagnostic performances of chest X-ray and digital chest X-ray with computer-aided detection is provided in the next paragraph of this introduction.
In recent years, computer-aided detection (CAD) are artificial- intelligence based software that have been developed with the aim to offer automated interpretation of digital CXR images. In broad terms, CAD programs produce a numerical score that interpret CXR alterations in order to quantify the probability of TB. When diagnostic accuracy is assessed against bacteriologically confirmed TB, CAD software sensitivity ranges from 90% to 92%, and specificity ranges from 23% to 66%, fulfilling thus the minimal sensitivity required by WHO for a screening test. These diagnostic performances were confirmed by several prospective studies conducted in low- and middle-income countries (LMIC), systematic reviews and one patient-level meta-analysis, thus leading to the endorsement of CAD technologies by current WHO consolidated TB guidelines for the screening of individuals aged 15 years or older belonging to selected high-risk populations. Among the CAD software packages commercially available, CAD4TB platform version 6 (Delft Imaging Systems, The Netherlands), developed using deep-learning technologies - a type of machine learning technology based on artificial neural networks - releases results in few seconds and was designed to work on patients from 4 years of age. In a recent study conducted, when compared to a microbiological Xpert reference standard, CAD4TB v7 has been shown to have both high efficiency and be cost-effective in high-burden settings, being able to process 132 images per day at the cost of less than 6 USD per person. Even if the technology is validated for the use in individuals aged 4 years or older, very few data exist on the clinical utility of this technology among children.In recent years, attention has been attracted by Xpert MTB/RIF on stool samples, since mycobacteria- containing sputum may be swallowed and then be available for molecular testing. Similarly to Xpert on sputum samples, stool Xpert is able to detect both the presence of mycobacterial DNA and mutations associated with rifampin resistance. The use of Xpert MTB/RIF on stool samples has been introduced in the 2020 WHO guidelines as a possible initial diagnostic test for children with signs and symptoms of pulmonary TB. However, this recommendation is based on low certainty of evidence. Due to lack of available evidence, no recommendation has been issued so far about the use of Xpert on stool samples in the adult population.
Ethiopia is listed among the 30 high-burden countries both for TB and for HIV/TB, transitioning out, in the last Global Tuberculosis Report, from the list of the high-burden countries for multidrug- resistant or rifampicin resistant TB (MDR-RRTB). Annual TB incidence is 132 cases per 100,000 people (95%CI 92-178), with a case-fatality ratio of 15% and most of the cases attributable to undernourishment. Disease incidence and mortality, in both HIV-positive and HIV-uninfected people, is reducing, almost attaining the End TB milestone of a 35% reduction in TB deaths compared to 2015. However, since the pandemic-related disruption on TB services impacted the number of newly diagnosed TB cases, its influence on mortality and overall disease burden is likely yet to be seen.
As in most of low-resources, high-burden countries, provider-initiated contact investigation is rarely carried out in Ethiopia, although contact tracing and evaluation of all persons who have been incontact with an active case of TB is recommended by the latest National Guidelines . The World Health Organization recently updated its screening guidelines, putting emphasis on the importance of the importance of active, provider-initiated screening of at-risk populations, especially households of index TB patients . Epidemiological data about active TB among household contacts are limited but, when reported, prevalence rates are high . Also, a meta-analysis conducted by Gamtesa et al. found that healthcare-seeking behavior in Ethiopia is low even in patients with showing signs and symptoms of TB.
Provider-initiated screening of selected, high-risk populations is a key strategy in the fight towards TB eradication. According to WHO, this approach should entail systematic identification of people with possible TB disease with tests, examinations or other procedures that can be applied rapidly. In this context, data about the clinical impact of the use of CAD technologies in Ethiopia are lacking. Also, data about diagnostic performances of, respectively, CAD software and stool Xpert MTB/RIF in the pediatric population and adult population are needed.
The study will be carried out in at St. Luke Catholic Hospital, Wolisso, in Ethiopia.
St. Luke Catholic Hospital is the referral Hospital in Southwest Shoa zone, Oromia Region, between Addis Ababa and Jimma covering 400km distance. St. Luke Catholic Hospital serves a population from a catchment area of roughly 1.4 million people. As of today, the hospital bed capacity is 208, while mean outpatient department visits are 350 patients per day .
For the year 2021, in St Luke Hospital 207 patients were diagnosed with pulmonary TB. Of those, 164 patients were treated as inpatients, and 43 were treated as outpatients. Out of these, 5 showed Rifampicin resistance. These MDR cases were referred to the Therapeutic Initiating Centres for second line treatment. Among patients treated in OPD clinic, 30 were followed into the hospital TB clinic.
Routine TB screening in St. Luke Catholic Hospital is based on patient-initiated pathway with assessment of signs and symptoms suggestive of TB. Possible TB cases are identified through a clinical visit that may include chest X-ray evaluation. When performed, chest X-ray images are evaluated by on-duty clinicians in digital format.
Study design
- Primary purpose
- Diagnosis
- Allocation
- Randomised
- Intervention model
- Sequential
- Masking
- Single blind (outcomes assessor)
- Number of arms
- 2
- Model description
- After enrolment, each subject will be assessed according to sequence AB (assessment by clinician #1 without CAD and assessment by clinician #2 with CAD) or sequence BA (assessment by clinician #1 with CAD and assessment by clinician #2 without CAD). Allocation to sequence AB or BA 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.
| Arm | Type | Receives |
|---|---|---|
| ARM 1: without computer-aided detection (CAD) | Other | Diagnostic Test: Diagnosis of Tuberculosis with computer-aided detection (CAD) softwareDiagnosis of tuberculosis without the aid of CAD |
| ARM 2: with computer-aided detection (CAD) | Other | Diagnostic Test: Diagnosis of Tuberculosis with computer-aided detection (CAD) softwareDiagnosis of tuberculosis with the aid of CAD |
Who may qualify
- Ages
- 4 years and older
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Child, Adult, Older adult
Key inclusion criteria (4 listed)
- All patients diagnosed with pulmonary tuberculosis and at least one sputum sample positive for acid- fast bacilli on sputum smear or M. tuberculosis on sputum Xpert or smear will be eligible for inclusion as index cases.
- Index cases will be recruited both among hospitalized patients and patients followed in OPD clinics for completion of TB treatment.
- All household contacts of at least 4 years of age will be eligible for inclusion if they lived in the same dwelling as the index patient during the two months prior to the diagnosis of the index patient.
- Pregnant women are eligible for the inclusion but, to minimize radiation exposure risk to the fetus, chest X-ray will not be offered.
Key exclusion criteria (1 listed)
- Household contacts already receiving treatment for active or latent tuberculosis will be excluded from the study.
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 |
|---|---|---|
| Diagnosis of Tuberculosis with computer-aided detection (CAD) softwareAfter 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. | Diagnostic test | ARM 1: without computer-aided detection (CAD), ARM 2: with computer-aided detection (CAD) |
Primary outcome
CAD4TB and Stool GeneXpert Accurancy rate for Diagnosis of TB
Time frame: through study completion, an average of 1 year
The common accuracy metrics (sensitivity, specificity, positive and negative predictive values) when assessing the accuracy of CAD4TB compared to stool Xpert MTB/RIF.
3 secondary outcomes
Stool GeneXpert and Sputum GeneXpert concordance
Time frame: 12 weeks
Concordance beetwen CAD4TB and Sputum MTB/RIF
Time frame: through study completion, an average of 1 year
TB incidence rate
Time frame: through study completion, an average of 1 year
Results and safety
Results are not available in the source record.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 18 Apr 2023.
- Derived from this study: PubMed 38135314Segala 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.
- Individual participant dataSharing planned: No. 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.
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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. This study is not recruiting at the moment.
Worku Nigussa, MD principal investigator
Doctors with Africa - CUAMM
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing Diagnosis of Tuberculosis with computer-aided detection (CAD) software in people with Diagnosis and Tuberculosis, run by Doctors with Africa - CUAMM at 1 site in Ethiopia.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 4 inclusion and 1 exclusion criteria. 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: status not confirmed, as of the sponsor's last update on 18 Apr 2023. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Ethiopia. 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?
Results are not available in the source record.
How can a doctor refer a patient or contact the research team?
Contact Francesco Vladimiro Segala, PhD (+393924804707, fvsegala@gmail.com), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
CAD4TB and Stool GeneXpert Accurancy rate for Diagnosis of TB (time frame: through study completion, an average of 1 year). 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 NCT05818059, which also lists 1 linked publication.
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 18 Apr 2023; AzTrials last refreshed its copy on 4 Nov 2026.