DiabetesDOPNCT05487079
Identification and Characterization of Diabetes in Low-resource Populations
An observational study of Diabetes, run by MRC/UVRI and LSHTM Uganda Research Unit at 1 site in Uganda.
Trial summary
The true burden of diabetes in sub-Saharan Africa (SSA) is unknown as most of the countries do not have good quality data. As such, the overall estimate of diabetes prevalence is largely based on modelled estimates, which may not be accurate. Read more about this study
- Who is it for?
- Ages 18 years and older
- Conditions the study is for
- Diabetes
- How many people
- 11,700 participants
- Where
- 1 siteUganda
- Study dates
- 17 Jan 2022to 31 May 2023
- Phase
- Observational
- 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 18 years and older
- All sexes
- Adult, Older adult
Study population: Study participants are all Individuals aged 18 years or older, residing within the 25 villages of Kyamulibwa sub-county of Kalungu District and Lukaya town and willing to give informed consent.
Who may be able to join
- Age ≥ 18 years Signed informed consent
- Willing to provide written informed consent
Who cannot join
- Pregnant women - can participate six months after childbirth
- Living outside the geographical sampling frame for the relevant site
- Unable to give informed consent
Trial locations and contacts
1 site in 1 country.
Uganda1 site, 1 recruiting
- Recruiting
MRC/UVRI and LSHTM Uganda Research Unit
Entebbe
Esther Nkiinzi, MPH, 256701951667, esther.nkiinzi@mrcuganda.org
About this study
The true burden of diabetes in sub-Saharan Africa (SSA) is unknown as most of the countries do not have good quality data. As such, the overall estimate of diabetes prevalence is largely based on modelled estimates, which may not be accurate.
Additionally, there is lack of clear guidance on which method and thresholds to use in the diagnosis of diabetes in African populations unlike in high income countries (HIC) where such guidance is clear. The limited data available shows that diabetes in Africa manifests differently for example occurring at younger age and in relatively lean individuals. Moreover, where the oral glucose tolerance test (OGTT) has been used to screen for diabetes, a significant proportion of individuals have isolated postprandial hyperglycaemia (IPH): The reasons for this differential manifestation are unclear and the diabetes progression of these unique phenotypes (for example in terms of risk of complications is unknown or response to treatment is unknown).
Read more
Therefore, the overall aim of this research is to undertake a large study to determine the true prevalence of diabetes and identify/characterize the different phenotypes; 2) establish a cohort patients with diabetes to understand the natural course of these different phenotypes, including how they respond to treatment (i.e. do the IPH or thin diabetics progress at the same rate as obese, and are the currently used intervention/therapeutic approaches equally effective in the different phenotypes?).
The collected data is likely to be directly relevant to an improved understanding of the cause and progression of diabetes, diagnostic test performance, and diabetes care in SSA, ultimately leading to better patient outcomes and well-being, as well as enhanced productivity.
Read the detailed description
The specific objectives will be to; (1) To determine the true prevalence of diabetes and prediabetes in a population-based cohort (2) To identify and characterize the different phenotypes of type 2 diabetes (3) To establish a base-line cohort of well-characterised people with diabetes to understand disease progression of the different phenotypes, including uptake and response to treatment. (4) To identify and recruit a cohort of non-diabetic volunteers (including prediabetes i.e., at high risk of developing diabetes) for longitudinal follow-up.
Study setting: This will be a population-based survey nested within the General Population Cohort (GPC). The GPC is a rural population-based cohort study of people living within the 25 villages of Kyamulibwa sub-county of Kalungu District in rural southwest Uganda. The primary study will be conducted in Uganda. The study shall recruit from 2 sites (rural and urban areas) across the greater Masaka region in southwest Uganda in order to explore the differences in lifestyle, and how these influence prevalence of diabetes and its outcomes; General Population Cohort (GPC) in Kyamulibwa will provide the rural population, and the town of Lukaya the urban population. Both rural and urban sites are established research areas. The entire adult population of the GPC will be eligible for this survey. Data from the most recent Census (2020-2021) in the GPC shows that there are 8,864 adults (aged 18+) of the total population of 20,751 in Kyamulibwa.
Eligibility: All adults aged 18 years and above will be invited to take part in the study. We will recruit all adults who are able to provide written informed consent and are residents at a household (i.e. not a temporary member with intent to leave) in either of the study areas. Individuals will be excluded from the study based on the following criteria: pregnant women (can participate six months after childbirth), live outside the geographical sampling frame for the relevant site or are unable to give informed consent, living outside the relevant site's catchment area.
Sampling method: This study is powered to estimate the prevalence of diabetes and other primary outcomes like prediabetes Impaired fasting glycaemia (IFG), isolated postprandial hyperglycaemia (IPH), isolated-IFG and isolated-Impaired Glucose Tolerance) with sufficient precision. We have conservatively based our assumptions on results from the 2014 Ugandan nation-wide cross-sectional survey suggesting that the prevalence of IFG and diabetes in Uganda is 2% (95% CI: 1.5-2.5%) and 1.4% (95% CI: 0.9 - 1.9%) respectively.3 That survey detected dysglycaemia using fasting blood glucose alone, rather than OGTT. Applying a rule of thumb that the margin of error should not exceed 0.25 of the prevalence and based on the following assumptions: A margin of error of 0.5% (a margin of error of 0.5% to 1% would be acceptable for low prevalent conditions) and Diabetes prevalence of 5% (assuming OGTT would detect more cases of diabetes thus doubling the prevalence) and estimated 5% level of significance (z-value = 1.96). We aim to screen a minimum of 11700 adults across all sites; a minimum of 5,850 from each site. All the adults in Kyamulibwa- the rural site (8, 864) will be invited to take part in our survey. For Lukaya-the urban site; initially, 3 of the 5 cells will be randomly selected and all the adults in the selected cells (approximate total adult population of 6000) invited to take part in the survey. Recruitment will be restricted to individuals who reside within defined areas (villages).
Enrollment: This study will consist of overlapping phases as described below:
Phase One: Main baseline survey. This phase comprises the selection and training of survey team, community sensitisation, obtaining the consent of the study participants, and conducting the baseline survey. All consented individuals will be interviewed using a structured pre-tested questionnaire (Data Collection Form) by trained study staff to collect relevant information including; demographic, socioeconomic and lifestyle in the language understood by the patient. Thereafter, participants will undergo biophysical measurements (weight, height, waist and hip circumferences, Mid-upper arm circumference (MUAC) ) and blood pressure after which they will be invited to come to the research hub in the next days for blood sample collection after an overnight fast. Participants are required to have fasted for at least 8 hours and those who have not will be asked to come back another day in a fasting state. Blood sample collection will be done using standardised procedures. Venous whole blood will be used for HbA1C, complete blood count, genetics and malaria. Serum will be used for biochemistry and HIV. NaF blood tube will be used for fasting plasma glucose. hCG urine testing will be carried out on the urine samples collected.
NB: Those with already clinically diagnosed diabetes and on treatment will come in fasted and baseline fasting samples taken off. They will not undergo OGTTT.
Phase Two: This phase involves assessment of the reproducibility of diagnostic approaches, and comparing their general performance. From Phase I of the study, all those with dysglycaemia (diabetes; prediabetes; i-IFG and i-IGT) and age and sex-matched non-diabetic subjects (1:1) will be invited back to the research hub for further assessment. In Phase 2, the aim will be 1) to assess the reproducibility of the diagnostic tests, notably the OGTT; 2) to assess the burden of glycaemia through continuous glucose monitoring; 3) to identify participants for Phase 3 studies.
Phase Three: This is aimed at assessing and describing any dysglycaemia clusters or phenotypes by comparing baseline characteristics and evaluating the distribution of various measures. Further tests may be done in the future to better understand the differences between the phenotypes. This phase involves utilisation of data generated from phases 1 and 2 to characterise individuals with dysglycaemia further: This is aimed at assessing and describing any dysglycaemia clusters or phenotypes by comparing baseline characteristics and evaluating the distribution of various measures inclusive of biochemical parameters (e.g., fasting and stimulated C-peptide), adiposity and anthropometric indices, continuous glucose measures in daily living. Further tests may be done at this level including vascular complications assessment, endogenous insulin secretion measurement, and exploration of the inflammatory and immune biomarker (including islet autoantibodies) profiles to better understand the differences between the phenotypes including Lean versus Non-lean, IPH vs IFG.
Phase Four: Aimed at the creation of well-characterised diabetic and non-diabetic long-term cohorts. The newly diagnosed diabetes participants will be referred to the local diabetes clinics where they will be managed according to the Uganda Ministry of health guidelines. These patients will be followed up in clinics (supported by the research team) to study natural course, including response to treatment, and disease progression. The non-diabetic participants will be followed in a longitudinal study nested in the GPC to determine the incidence of diabetes.
Data collected from the different clinical sites using the data collection form will be entered into a centralized data management tool (REDCap). All data will be anonymised before being stored in the data management system.
Ethical consideration: All participants will be required to provide written informed consent before participating in the study. Refusal to participate will not affect the quality of care of the participants at the clinical sites. The study has received ethical clearance from the Uganda Virus Research Institute (GC/127/21/09/858)
- Conditions
- Diabetes
- Keywords
- Diabetes, Diabetes Complications, Pre-Diabetes, OGTT (Oral Glucose Tolerance Test), Dysglycaemia, LMIC (Low Middle Income Countries), Disease Progression, Treatment Outcomes
- Medical subject headings
- Diabetes Mellitus, Diabetes Complications, Glucose Intolerance, Disease Progression
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
| Study group | Role | What they receive |
|---|---|---|
| Diabetic | Diabetes will be defined as below (any or combination): 1. 2h-OGTT: ≥ 11.1 mmol/L 2. FPG (fasting plasma glucose): ≥ 7.0 mmol/L 3. HbA1c; ≥ 48 mmol/mol (6.5%) | |
| Pre-Diabetic | Prediabetes will be defined as as below (any or combination) 1. 2h-OGTT is between 140 and 199 mg/dL (7.8-11.0 mmol/L) 2. FPG values is between 100 and 125 mg/dL (5.6-6.9 mmol/L) 3. HbA1c is between 42 and 47 mmol/mol (6.0 - 6.4%) | |
| Non-Diabetics | Normal glucose tolerance (NGT) 1. 2h-OGTT; < 140 mg/dL (7.8 mmol/L). 2. FPG; < 100 mg/dL (5.6 mmol/L) and 3. HbA1c; < 42 mmol/mol |
What is being measured
The primary outcome is the main question the study is designed to answer.
Number of participants with diabetes and prediabetes
To determine the prevalence of diabetes defined by HbA1c, FPG and OGTT glucose To assess the reproducibility of the different diagnostic tests.
Measured: 2 years
Number of distinct phenotypes of type 2 diabetes within this population
Identification and characterization of the different phenotypes of type 2 diabetes
Measured: 2 years
Secondary outcomes (2)
Number of individuals with diabetes that develop vascular complications
Measured: 2 years
Rate of progression of vascular disease within this population
Measured: 2 years
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted4 Aug 2022
- Study start17 Jan 2022
- Primary completion31 May 2023 (estimated)
- Study completion31 May 2023 (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 DiabetesStudies 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
- Observational
- Observational model
- Cohort
- Time perspective
- Prospective
- Enrolment
- 11,700 participants (estimated)
Sponsor and investigators
- Lead sponsor
- MRC/UVRI and LSHTM Uganda Research Unit
- Sponsor type
- University, hospital or other
- Collaborators
- University of Exeter, British Medical Research Council, Department for International Development, United Kingdom
- Responsible party
- Sponsor
- Investigators
- Moffat Nyirenda, PhD, Principal investigator, MRC/UVRI AND LSHTM UGANDA and London School of Hygiene and Tropical MedicineAnxious J Niwaha, MSc, Principal investigator, MRC/UVRI AND LSHTM UGANDA
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT05487079
- Sponsor's protocol ID
- RGMN210808
- Acronym
- DOP
- Status last verified
- Oct 2022
- First submitted
- 3 Aug 2022
- Last updated
- 19 Oct 2022
- Results posted
- No
- Data monitoring committee
- Yes
- FDA-regulated drug
- No
- FDA-regulated device
- No
Publications
Sekitoleko I, Nakanga WP, Webb E, Mugamba V, Balungi P, Mpairwe B, Terry O, Makanga R, Nabanoba E, Mugisha JO, Kimbugwe G, Nyirenda MJ, Niwaha AJ. Identification and characterisation of diabetes in Uganda: protocol for the nested, population-based 'Diabetes in low-resource Populations' (DOP) Study. BMJ Open. 2023 Sep 13;13(9):e071747. doi: 10.1136/bmjopen-2023-071747.
PubMed 37709304
Study at a glance
From the registry record, last updated by the sponsor on 19 Oct 2022. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Identification and Characterization of Diabetes in Low-resource Populations
- ClinicalTrials.gov ID
- NCT05487079
- Acronym / sponsor ID
- DOP / RGMN210808
- Conditions
- Diabetes
- Keywords
- Diabetes, Diabetes Complications, Pre-Diabetes, OGTT (Oral Glucose Tolerance Test), Dysglycaemia, LMIC (Low Middle Income Countries), Disease Progression, Treatment Outcomes
- Study type
- Observational
- Recruitment status
- Unknown status
- Enrolment
- 11,700 participants (estimated)
- Lead sponsor
- MRC/UVRI and LSHTM Uganda Research UnitUniversity, hospital or other
- Collaborators
- University of Exeter, British Medical Research Council, Department for International Development, United Kingdom
- Study start
- 17 Jan 2022 (actual)
- Primary completion
- 31 May 2023 (estimated)
- Study completion
- 31 May 2023 (estimated)
- First posted
- 4 Aug 2022 (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.
The true burden of diabetes in sub-Saharan Africa (SSA) is unknown as most of the countries do not have good quality data. As such, the overall estimate of diabetes prevalence is largely based on modelled estimates, which may not be accurate.
Additionally, there is lack of clear guidance on which method and thresholds to use in the diagnosis of diabetes in African populations unlike in high income countries (HIC) where such guidance is clear. The limited data available shows that diabetes in Africa manifests differently for example occurring at younger age and in relatively lean individuals. Moreover, where the oral glucose tolerance test (OGTT) has been used to screen for diabetes, a significant proportion of individuals have isolated postprandial hyperglycaemia (IPH): The reasons for this differential manifestation are unclear and the diabetes progression of these unique phenotypes (for example in terms of risk of complications is unknown or response to treatment is unknown).
Therefore, the overall aim of this research is to undertake a large study to determine the true prevalence of diabetes and identify/characterize the different phenotypes; 2) establish a cohort patients with diabetes to understand the natural course of these different phenotypes, including how they respond to treatment (i.e. do the IPH or thin diabetics progress at the same rate as obese, and are the currently used intervention/therapeutic approaches equally effective in the different phenotypes?).
The collected data is likely to be directly relevant to an improved understanding of the cause and progression of diabetes, diagnostic test performance, and diabetes care in SSA, ultimately leading to better patient outcomes and well-being, as well as enhanced productivity.
Detailed description
The specific objectives will be to; (1) To determine the true prevalence of diabetes and prediabetes in a population-based cohort (2) To identify and characterize the different phenotypes of type 2 diabetes (3) To establish a base-line cohort of well-characterised people with diabetes to understand disease progression of the different phenotypes, including uptake and response to treatment. (4) To identify and recruit a cohort of non-diabetic volunteers (including prediabetes i.e., at high risk of developing diabetes) for longitudinal follow-up.
Study setting: This will be a population-based survey nested within the General Population Cohort (GPC). The GPC is a rural population-based cohort study of people living within the 25 villages of Kyamulibwa sub-county of Kalungu District in rural southwest Uganda. The primary study will be conducted in Uganda. The study shall recruit from 2 sites (rural and urban areas) across the greater Masaka region in southwest Uganda in order to explore the differences in lifestyle, and how these influence prevalence of diabetes and its outcomes; General Population Cohort (GPC) in Kyamulibwa will provide the rural population, and the town of Lukaya the urban population. Both rural and urban sites are established research areas. The entire adult population of the GPC will be eligible for this survey. Data from the most recent Census (2020-2021) in the GPC shows that there are 8,864 adults (aged 18+) of the total population of 20,751 in Kyamulibwa.
Eligibility: All adults aged 18 years and above will be invited to take part in the study. We will recruit all adults who are able to provide written informed consent and are residents at a household (i.e. not a temporary member with intent to leave) in either of the study areas. Individuals will be excluded from the study based on the following criteria: pregnant women (can participate six months after childbirth), live outside the geographical sampling frame for the relevant site or are unable to give informed consent, living outside the relevant site's catchment area.
Sampling method: This study is powered to estimate the prevalence of diabetes and other primary outcomes like prediabetes Impaired fasting glycaemia (IFG), isolated postprandial hyperglycaemia (IPH), isolated-IFG and isolated-Impaired Glucose Tolerance) with sufficient precision. We have conservatively based our assumptions on results from the 2014 Ugandan nation-wide cross-sectional survey suggesting that the prevalence of IFG and diabetes in Uganda is 2% (95% CI: 1.5-2.5%) and 1.4% (95% CI: 0.9 - 1.9%) respectively.3 That survey detected dysglycaemia using fasting blood glucose alone, rather than OGTT. Applying a rule of thumb that the margin of error should not exceed 0.25 of the prevalence and based on the following assumptions: A margin of error of 0.5% (a margin of error of 0.5% to 1% would be acceptable for low prevalent conditions) and Diabetes prevalence of 5% (assuming OGTT would detect more cases of diabetes thus doubling the prevalence) and estimated 5% level of significance (z-value = 1.96). We aim to screen a minimum of 11700 adults across all sites; a minimum of 5,850 from each site. All the adults in Kyamulibwa- the rural site (8, 864) will be invited to take part in our survey. For Lukaya-the urban site; initially, 3 of the 5 cells will be randomly selected and all the adults in the selected cells (approximate total adult population of 6000) invited to take part in the survey. Recruitment will be restricted to individuals who reside within defined areas (villages).
Enrollment: This study will consist of overlapping phases as described below:
Phase One: Main baseline survey. This phase comprises the selection and training of survey team, community sensitisation, obtaining the consent of the study participants, and conducting the baseline survey. All consented individuals will be interviewed using a structured pre-tested questionnaire (Data Collection Form) by trained study staff to collect relevant information including; demographic, socioeconomic and lifestyle in the language understood by the patient. Thereafter, participants will undergo biophysical measurements (weight, height, waist and hip circumferences, Mid-upper arm circumference (MUAC) ) and blood pressure after which they will be invited to come to the research hub in the next days for blood sample collection after an overnight fast. Participants are required to have fasted for at least 8 hours and those who have not will be asked to come back another day in a fasting state. Blood sample collection will be done using standardised procedures. Venous whole blood will be used for HbA1C, complete blood count, genetics and malaria. Serum will be used for biochemistry and HIV. NaF blood tube will be used for fasting plasma glucose. hCG urine testing will be carried out on the urine samples collected.
NB: Those with already clinically diagnosed diabetes and on treatment will come in fasted and baseline fasting samples taken off. They will not undergo OGTTT.
Phase Two: This phase involves assessment of the reproducibility of diagnostic approaches, and comparing their general performance. From Phase I of the study, all those with dysglycaemia (diabetes; prediabetes; i-IFG and i-IGT) and age and sex-matched non-diabetic subjects (1:1) will be invited back to the research hub for further assessment. In Phase 2, the aim will be 1) to assess the reproducibility of the diagnostic tests, notably the OGTT; 2) to assess the burden of glycaemia through continuous glucose monitoring; 3) to identify participants for Phase 3 studies.
Phase Three: This is aimed at assessing and describing any dysglycaemia clusters or phenotypes by comparing baseline characteristics and evaluating the distribution of various measures. Further tests may be done in the future to better understand the differences between the phenotypes. This phase involves utilisation of data generated from phases 1 and 2 to characterise individuals with dysglycaemia further: This is aimed at assessing and describing any dysglycaemia clusters or phenotypes by comparing baseline characteristics and evaluating the distribution of various measures inclusive of biochemical parameters (e.g., fasting and stimulated C-peptide), adiposity and anthropometric indices, continuous glucose measures in daily living. Further tests may be done at this level including vascular complications assessment, endogenous insulin secretion measurement, and exploration of the inflammatory and immune biomarker (including islet autoantibodies) profiles to better understand the differences between the phenotypes including Lean versus Non-lean, IPH vs IFG.
Phase Four: Aimed at the creation of well-characterised diabetic and non-diabetic long-term cohorts. The newly diagnosed diabetes participants will be referred to the local diabetes clinics where they will be managed according to the Uganda Ministry of health guidelines. These patients will be followed up in clinics (supported by the research team) to study natural course, including response to treatment, and disease progression. The non-diabetic participants will be followed in a longitudinal study nested in the GPC to determine the incidence of diabetes.
Data collected from the different clinical sites using the data collection form will be entered into a centralized data management tool (REDCap). All data will be anonymised before being stored in the data management system.
Ethical consideration: All participants will be required to provide written informed consent before participating in the study. Refusal to participate will not affect the quality of care of the participants at the clinical sites. The study has received ethical clearance from the Uganda Virus Research Institute (GC/127/21/09/858)
Study design
- Observational model
- Cohort
- Time perspective
- Prospective
- Number of arms
- 3
| Arm | Type | Receives |
|---|---|---|
| Diabetic | – | –Diabetes will be defined as below (any or combination): 1. 2h-OGTT: ≥ 11.1 mmol/L 2. FPG (fasting plasma glucose): ≥ 7.0 mmol/L 3. HbA1c; ≥ 48 mmol/mol (6.5%) |
| Pre-Diabetic | – | –Prediabetes will be defined as as below (any or combination) 1. 2h-OGTT is between 140 and 199 mg/dL (7.8-11.0 mmol/L) 2. FPG values is between 100 and 125 mg/dL (5.6-6.9 mmol/L) 3. HbA1c is between 42 and 47 mmol/mol (6.0 - 6.4%) |
| Non-Diabetics | – | –Normal glucose tolerance (NGT) 1. 2h-OGTT; < 140 mg/dL (7.8 mmol/L). 2. FPG; < 100 mg/dL (5.6 mmol/L) and 3. HbA1c; < 42 mmol/mol |
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Age groups
- Adult, Older adult
- Study population
- Study participants are all Individuals aged 18 years or older, residing within the 25 villages of Kyamulibwa sub-county of Kalungu District and Lukaya town and willing to give informed consent.
Key inclusion criteria (2 listed)
- Age ≥ 18 years Signed informed consent
- Willing to provide written informed consent
Key exclusion criteria (3 listed)
- Pregnant women - can participate six months after childbirth
- Living outside the geographical sampling frame for the relevant site
- Unable to give informed consent
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Primary outcome
Number of participants with diabetes and prediabetes
Time frame: 2 years
To determine the prevalence of diabetes defined by HbA1c, FPG and OGTT glucose To assess the reproducibility of the different diagnostic tests.
Number of distinct phenotypes of type 2 diabetes within this population
Time frame: 2 years
Identification and characterization of the different phenotypes of type 2 diabetes
2 secondary outcomes
Number of individuals with diabetes that develop vascular complications
Time frame: 2 years
Rate of progression of vascular disease within this population
Time frame: 2 years
Results and safety
Results are not available in the source record.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 19 Oct 2022.
- Derived from this study: PubMed 37709304Sekitoleko I, Nakanga WP, Webb E, Mugamba V, Balungi P, Mpairwe B, Terry O, Makanga R, Nabanoba E, Mugisha JO, Kimbugwe G, Nyirenda MJ, Niwaha AJ. Identification and characterisation of diabetes in Uganda: protocol for the nested, population-based 'Diabetes in low-resource Populations' (DOP) Study. BMJ Open. 2023 Sep 13;13(9):e071747. doi: 10.1136/bmjopen-2023-071747.
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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.
Moffat Nyirenda, PhD principal investigator
MRC/UVRI AND LSHTM UGANDA and London School of Hygiene and Tropical Medicine
Anxious J Niwaha, MSc principal investigator
MRC/UVRI AND LSHTM UGANDA
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Diabetes, run by MRC/UVRI and LSHTM Uganda Research Unit at 1 site in Uganda.
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 2 inclusion and 3 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 19 Oct 2022. 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 Uganda. 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 Isaac Sekitoleko, MSc (256701755373, Isaac.sekitoleko@mrcuganda.org), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Number of participants with diabetes and prediabetes (time frame: 2 years). 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 NCT05487079, 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 19 Oct 2022.