GDMPhase 3NCT02838147
Effect of a Continuous Glucose Monitoring on Maternal and Neonatal Outcomes in Gestational Diabetes Mellitus
A Phase 3 study testing FreeStyle sensors. and Glucometer in people with GDM, run by Tel-Aviv Sourasky Medical Center.
Trial summary
Gestational diabetes mellitus (GDM) is defined as carbohydrate intolerance first diagnosed during pregnancy [1]. It is associated with adverse pregnancy outcome for the mother, and the fetus with consequences regarding future health and development of the neonate. Read more about this study
- Who is it for?
- Ages 18 to 50 years, women onlyHealthy volunteers can take part
- Conditions the study is for
- GDM
- What is being tested?
- FreeStyle sensors. and Glucometer
- Type of treatment
- Medical device
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 200 participants
- Where
- No sites listed yet
- Study dates
- Sep 2016to Jul 2019
- Phase
- Phase 3
- 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 to 50 years
- Women only
- Healthy volunteers accepted
- Adult
Who may be able to join
- Patients with pathological glucose tolerance test (GCT) are eligible for the study.
- Women with a singleton pregnancy who were diagnosed with GDM between 24 and 28 weeks' gestation.
Who cannot join
- Alcohol or substance abuse, pre-gestational diabetes, any hypertensive disorders and chronic diseases requiring medication except for hypothyroidism. Additionally, multiple gestation, known fetal anomaly or chromosomal defects and intrauterine fetal growth restriction (EFW less than the 10th percentile according to local growth charts) will be excluded as well. Written informed consent will be obtained from all study participants.
Trial locations and contacts
No sites are listed yet.
About this study
Official title: Effect of a Continuous Glucose Monitoring on Maternal and Neonatal Outcomes in Gestational Diabetes Mellitus: A Randomized Controlled Trial
Gestational diabetes mellitus (GDM) is defined as carbohydrate intolerance first diagnosed during pregnancy [1]. It is associated with adverse pregnancy outcome for the mother, and the fetus with consequences regarding future health and development of the neonate. Maternal consequences include increased rate of operative and cesarean delivery, hypertensive disorders during pregnancy and future risk for type 2 diabetes mellitus (T2DM) as well as other aspects of the metabolic syndrome, such as obesity, cardiovascular morbidities and recurrent GDM [2-4]. Also, children born to mothers affected by gestational hypertension have been found to have higher body mass index (BMI), systolic blood pressure, glucose and insulin levels [5]; this risk extends into adulthood, with an 8-fold increased risk of type 2 diabetes among young adults exposed to gestational diabetes during fetal life [6].
Of all types of diabetes, GDM accounts for approximately 90-95% of all cases [4, 7]. It complicates up to 14% of all pregnancies. Its prevalence is increasing and parallels the rising incidence of type 2 diabetes mellitus worldwide [3,4]. Risk factors for developing GDM in pregnancy include obesity, previously GDM, glycosuria, family history, ethnicity and hypertension [5,6].
Read the detailed description
Introduction
Gestational diabetes mellitus (GDM) is defined as carbohydrate intolerance first diagnosed during pregnancy [1]. It is associated with adverse pregnancy outcome for the mother, and the fetus with consequences regarding future health and development of the neonate. Maternal consequences include increased rate of operative and cesarean delivery, hypertensive disorders during pregnancy and future risk for type 2 diabetes mellitus (T2DM) as well as other aspects of the metabolic syndrome, such as obesity, cardiovascular morbidities and recurrent GDM [2-4]. Also, children born to mothers affected by gestational hypertension have been found to have higher body mass index (BMI), systolic blood pressure, glucose and insulin levels [5]; this risk extends into adulthood, with an 8-fold increased risk of type 2 diabetes among young adults exposed to gestational diabetes during fetal life [6].
Of all types of diabetes, GDM accounts for approximately 90-95% of all cases [4, 7]. It complicates up to 14% of all pregnancies. Its prevalence is increasing and parallels the rising incidence of type 2 diabetes mellitus worldwide [3,4]. Risk factors for developing GDM in pregnancy include obesity, previously GDM, glycosuria, family history, ethnicity and hypertension [5,6].
It has been clearly demonstrated that intensified management and the achievement of established levels of glycemic control using memory-based self-monitoring blood glucose, glyburide treatment or if needed multiple injections of insulin, diet, and an interdisciplinary team effort was associated with enhanced pregnancy outcome [8-10]. The above recommendations support the routine use of self-monitoring blood glucose in the management of the pregnancy compromised by diabetes. The recommendation of the American Colleague of Obstetrics and Gynecology as recently published [11] are four-times daily glucose monitoring preformed as fasting and either 1 or 2 hours after each meal with possible modifications made in diet-controlled GDM patients after reaching well controlled glucose levels.
The role of self-monitoring blood glucose in intensified therapy in non-pregnant and pregnant women has become the standard to achieve targeted levels of glycemic control. Yet, self-monitoring blood glucose may have some disadvantages. It is painful to perform. Another shortcoming in the use of reflectance meters is that each glucose determination represents a sole glucose value during the day, a "snap shot" of glucose value.
Recently, several companies have attempted to develop a new technology that measures continuous glucose. Some of these techniques are non-invasive while others are minimally invasive. Continuous glucose monitoring system (CGMS) employs four different approaches: transdermal, glucose electrode, micro-dialysis or open-flow micro perfusion. Currently, two are commercially available. The transdermal approach (Glucowatch; Cygnus, CA, USA) employs reverse iontophoresis by applying low voltage current to the skin surface causing interstitial fluid (containing glucose) to pass through the skin [12]. Glucose is then measured by an oxidase reaction. This data also contains information about skin temperature and sweat that are all included in the calculation process. The MiniMed CGM System (Sylmar, CA, USA) is composed of a disposable subcutaneous glucose-sensing device and an electrode impregnated with glucose oxidase connected by a cable to a lightweight monitor which is worn over clothing or a belt [13]. The system measures glucose levels every 10 seconds, based on the electrochemical detection of glucose by its reaction with glucose oxidase, and stores an average value every 5 minutes, for a total of 288 measurements per day. The glucose measurement is performed in subcutaneous tissue in which the interstitial glucose levels are in the range of 40-400 mg/dl. The data are stored in the monitor for later downloading and reviewing on a personal computer. The patients are unaware of the results of the sensor measurements during the monitoring period. Glucose values obtained with CGMS have been shown to correlate with laboratory measurements of plasma glucose levels [14] and with home glucose meter values [15].
The CGMS has been studied in non-pregnant patients where it has demonstrated clinical usefulness by enhancing decision-making through detecting previously unrecognized postprandial hyperglycemia and nocturnal hyper-and hypoglycemia [16]. Scientific evidence on a HbA1c-reducing effect of CGMS use is limited [17, 18]. Although some studies do evaluate the effect of CGMS use on biochemical endpoints, such as HbA1c levels, data on clinical endpoints like diabetic complications, are lacking. The usefulness of CGMS use during pregnancy has hardly been evaluated up to now [18].
There are only limited randomized clinical trials assessing the usefulness of CGMS in reducing the rate of diabetes related pregnancy complications with conflicting results [19, 20]. Murphy et al. [19] showed in 71 pregnant women with Type 1 and 2 diabetes mellitus that intermittent (4-6 weeks interval) CGMS resulted in a significant reduction of HbA1C at 32-36 weeks of gestation, lower birth weight, and reduced risk of macrosomia (odds ratio 0.36, 95% confidence interval 0.13 to 0.98, P<0.05) compared to standard antenatal care. However, this study was hampered by small sample size and both study groups differed in composition (e.g. 5 set of twins in the intervention group as opposed to none in the control group). In contrast, a recently published study [20] of 154 pregnant women with preexisting diabetes mellitus randomized to either real time CGM for 6 days at 8,12,21,27 and 33 weeks of gestation or routine care only showed neither an improvement in glycemic control, reflected in similar rates of hypoglycemia events and HbA1C levels, nor a reduction of large for gestational age neonates rate in the CGM group. In a recent study, Wei et al. included a total of 106 women with GDM in gestational weeks 24-28 were randomly allocated to the antenatal care plus CGMS group or the self-monitoring blood glucose group [21]. The authors showed The proportion of GDM women with excessive gestational weight gain was lower in the CGMS group than in the self-monitoring blood glucose (SMBG) group (33.3% vs. 56.4%, P=0.039), and women who initiated CGMS earlier gained less weight (P=0.017). In addition, the investigators showed that the mode of blood glucose monitoring (adjusted OR 2.40; 95% CI 1.030-5.588; P=0.042) was an independent factor for weight gain.
Since obstetric complications in diabetic pregnancies, especially macrosomia and large for gestational age newborn, seem to be related to glycemic control, the investigators hypothesize that the additional use of will reduce adverse pregnancy outcome related to pregnancies complicated with gestational diabetes.
Aims:
This trial evaluates the clinical effectiveness, costs and cost-effectiveness of Continuous glucose monitoring using FreeStyle Freedom Lite CGMS use with the aim to optimize glycemic control and pregnancy outcome of pregnancies diagnosed with GDM relative to standard control methods.
- Conditions
- GDM
- Being tested
- FreeStyle sensors., Glucometer
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
FreeStyle sensors.Device
Patients with normal OGTT (4 normal values) - will be allocated to 2-week period to FreeStyle sensors.
GlucometerDevice
Patients with pathological OGTT - 1 abnormal value Patients with pathological OGTT - 2 abnormal value
| Study group | Role | What they receive |
|---|---|---|
| Normal OGTT (Oral Glucose Tolerance Test) | Experimental | Patients with normal OGTT (4 normal values) - will be allocated to 2-week period to FreeStyle sensors. Receives: Device: FreeStyle sensors. |
| Pathological OGTT - 1 abnormal value | Experimental | Patients will pathological OGTT (either one or more abnormal values) will be randomly allocated to the antenatal care plus FreeStyle group or the SMBG group by a computer generated random number table Receives: Device: FreeStyle sensors.; Device: Glucometer |
| Pathological OGTT - 2 abnormal value | Experimental | Patients will pathological OGTT (either one or more abnormal values) will be randomly allocated to the antenatal care plus FreeStyle group or the SMBG group by a computer generated random number table Receives: Device: FreeStyle sensors.; Device: Glucometer |
What is being measured
The primary outcome is the main question the study is designed to answer.
Neonatal hypoglycemia
Number of Neonatal hypoglycemia(defined as a blood glucose concentration ≤45mg/dL (2.5mmol/L))
Measured: 2 weeks.
Secondary outcomes (2)
Large-for-gestational age (LGA)
Number of patients with LGA defined as birth weight above the 90th percentile
Measured: 2 weeks
Macrosomia
Number of patients with Macrosomia defined as birth weight > 4,000g
Measured: 2 weeks
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted20 Jul 2016 (estimated)
- Study startSep 2016
- Primary completionJul 2019 (estimated)
- Study completionJul 2019 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for GDMStudies of the same condition, open and under way.
- More trials run by Tel-Aviv Sourasky Medical CenterThe sponsor's other registered studies.
- 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 3
- Primary purpose
- Treatment
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- Triple blind
- Who is masked
- Participant, Care provider, Investigator
- Enrolment
- 200 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Tel-Aviv Sourasky Medical Center
- Sponsor type
- Other government
- Responsible party
- Sponsor
- Investigators
- yariv yogev, professor, Principal investigator, Tel Aviv Medical Center
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT02838147
- Sponsor's protocol ID
- 0213-16- TLV
- Status last verified
- Jul 2016
- First submitted
- 17 Jul 2016
- Last updated
- 9 Aug 2016
- Results posted
- No
- Data monitoring committee
- Yes
- Individual data sharing
- No
Study at a glance
From the registry record, last updated by the sponsor on 9 Aug 2016. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Effect of a Continuous Glucose Monitoring on Maternal and Neonatal Outcomes in Gestational Diabetes Mellitus: A Randomized Controlled Trial
- ClinicalTrials.gov ID
- NCT02838147
- Acronym / sponsor ID
- 0213-16- TLV
- Conditions
- GDM
- Phase
- Phase 3
- Study type
- Interventional
- Recruitment status
- Unknown status
- Enrolment
- 200 participants (estimated)
- Lead sponsor
- Tel-Aviv Sourasky Medical CenterOther government
- Study start
- Sep 2016
- Primary completion
- Jul 2019 (estimated)
- Study completion
- Jul 2019 (estimated)
- First posted
- 20 Jul 2016 (estimated)
- 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.
Gestational diabetes mellitus (GDM) is defined as carbohydrate intolerance first diagnosed during pregnancy [1]. It is associated with adverse pregnancy outcome for the mother, and the fetus with consequences regarding future health and development of the neonate. Maternal consequences include increased rate of operative and cesarean delivery, hypertensive disorders during pregnancy and future risk for type 2 diabetes mellitus (T2DM) as well as other aspects of the metabolic syndrome, such as obesity, cardiovascular morbidities and recurrent GDM [2-4]. Also, children born to mothers affected by gestational hypertension have been found to have higher body mass index (BMI), systolic blood pressure, glucose and insulin levels [5]; this risk extends into adulthood, with an 8-fold increased risk of type 2 diabetes among young adults exposed to gestational diabetes during fetal life [6].
Of all types of diabetes, GDM accounts for approximately 90-95% of all cases [4, 7]. It complicates up to 14% of all pregnancies. Its prevalence is increasing and parallels the rising incidence of type 2 diabetes mellitus worldwide [3,4]. Risk factors for developing GDM in pregnancy include obesity, previously GDM, glycosuria, family history, ethnicity and hypertension [5,6].
Detailed description
Introduction
Gestational diabetes mellitus (GDM) is defined as carbohydrate intolerance first diagnosed during pregnancy [1]. It is associated with adverse pregnancy outcome for the mother, and the fetus with consequences regarding future health and development of the neonate. Maternal consequences include increased rate of operative and cesarean delivery, hypertensive disorders during pregnancy and future risk for type 2 diabetes mellitus (T2DM) as well as other aspects of the metabolic syndrome, such as obesity, cardiovascular morbidities and recurrent GDM [2-4]. Also, children born to mothers affected by gestational hypertension have been found to have higher body mass index (BMI), systolic blood pressure, glucose and insulin levels [5]; this risk extends into adulthood, with an 8-fold increased risk of type 2 diabetes among young adults exposed to gestational diabetes during fetal life [6].
Of all types of diabetes, GDM accounts for approximately 90-95% of all cases [4, 7]. It complicates up to 14% of all pregnancies. Its prevalence is increasing and parallels the rising incidence of type 2 diabetes mellitus worldwide [3,4]. Risk factors for developing GDM in pregnancy include obesity, previously GDM, glycosuria, family history, ethnicity and hypertension [5,6].
It has been clearly demonstrated that intensified management and the achievement of established levels of glycemic control using memory-based self-monitoring blood glucose, glyburide treatment or if needed multiple injections of insulin, diet, and an interdisciplinary team effort was associated with enhanced pregnancy outcome [8-10]. The above recommendations support the routine use of self-monitoring blood glucose in the management of the pregnancy compromised by diabetes. The recommendation of the American Colleague of Obstetrics and Gynecology as recently published [11] are four-times daily glucose monitoring preformed as fasting and either 1 or 2 hours after each meal with possible modifications made in diet-controlled GDM patients after reaching well controlled glucose levels.
The role of self-monitoring blood glucose in intensified therapy in non-pregnant and pregnant women has become the standard to achieve targeted levels of glycemic control. Yet, self-monitoring blood glucose may have some disadvantages. It is painful to perform. Another shortcoming in the use of reflectance meters is that each glucose determination represents a sole glucose value during the day, a "snap shot" of glucose value.
Recently, several companies have attempted to develop a new technology that measures continuous glucose. Some of these techniques are non-invasive while others are minimally invasive. Continuous glucose monitoring system (CGMS) employs four different approaches: transdermal, glucose electrode, micro-dialysis or open-flow micro perfusion. Currently, two are commercially available. The transdermal approach (Glucowatch; Cygnus, CA, USA) employs reverse iontophoresis by applying low voltage current to the skin surface causing interstitial fluid (containing glucose) to pass through the skin [12]. Glucose is then measured by an oxidase reaction. This data also contains information about skin temperature and sweat that are all included in the calculation process. The MiniMed CGM System (Sylmar, CA, USA) is composed of a disposable subcutaneous glucose-sensing device and an electrode impregnated with glucose oxidase connected by a cable to a lightweight monitor which is worn over clothing or a belt [13]. The system measures glucose levels every 10 seconds, based on the electrochemical detection of glucose by its reaction with glucose oxidase, and stores an average value every 5 minutes, for a total of 288 measurements per day. The glucose measurement is performed in subcutaneous tissue in which the interstitial glucose levels are in the range of 40-400 mg/dl. The data are stored in the monitor for later downloading and reviewing on a personal computer. The patients are unaware of the results of the sensor measurements during the monitoring period. Glucose values obtained with CGMS have been shown to correlate with laboratory measurements of plasma glucose levels [14] and with home glucose meter values [15].
The CGMS has been studied in non-pregnant patients where it has demonstrated clinical usefulness by enhancing decision-making through detecting previously unrecognized postprandial hyperglycemia and nocturnal hyper-and hypoglycemia [16]. Scientific evidence on a HbA1c-reducing effect of CGMS use is limited [17, 18]. Although some studies do evaluate the effect of CGMS use on biochemical endpoints, such as HbA1c levels, data on clinical endpoints like diabetic complications, are lacking. The usefulness of CGMS use during pregnancy has hardly been evaluated up to now [18].
There are only limited randomized clinical trials assessing the usefulness of CGMS in reducing the rate of diabetes related pregnancy complications with conflicting results [19, 20]. Murphy et al. [19] showed in 71 pregnant women with Type 1 and 2 diabetes mellitus that intermittent (4-6 weeks interval) CGMS resulted in a significant reduction of HbA1C at 32-36 weeks of gestation, lower birth weight, and reduced risk of macrosomia (odds ratio 0.36, 95% confidence interval 0.13 to 0.98, P<0.05) compared to standard antenatal care. However, this study was hampered by small sample size and both study groups differed in composition (e.g. 5 set of twins in the intervention group as opposed to none in the control group). In contrast, a recently published study [20] of 154 pregnant women with preexisting diabetes mellitus randomized to either real time CGM for 6 days at 8,12,21,27 and 33 weeks of gestation or routine care only showed neither an improvement in glycemic control, reflected in similar rates of hypoglycemia events and HbA1C levels, nor a reduction of large for gestational age neonates rate in the CGM group. In a recent study, Wei et al. included a total of 106 women with GDM in gestational weeks 24-28 were randomly allocated to the antenatal care plus CGMS group or the self-monitoring blood glucose group [21]. The authors showed The proportion of GDM women with excessive gestational weight gain was lower in the CGMS group than in the self-monitoring blood glucose (SMBG) group (33.3% vs. 56.4%, P=0.039), and women who initiated CGMS earlier gained less weight (P=0.017). In addition, the investigators showed that the mode of blood glucose monitoring (adjusted OR 2.40; 95% CI 1.030-5.588; P=0.042) was an independent factor for weight gain.
Since obstetric complications in diabetic pregnancies, especially macrosomia and large for gestational age newborn, seem to be related to glycemic control, the investigators hypothesize that the additional use of will reduce adverse pregnancy outcome related to pregnancies complicated with gestational diabetes.
Aims:
This trial evaluates the clinical effectiveness, costs and cost-effectiveness of Continuous glucose monitoring using FreeStyle Freedom Lite CGMS use with the aim to optimize glycemic control and pregnancy outcome of pregnancies diagnosed with GDM relative to standard control methods.
Study design
- Primary purpose
- Treatment
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- Triple blind (participant, care provider, investigator)
- Number of arms
- 3
| Arm | Type | Receives |
|---|---|---|
| Normal OGTT (Oral Glucose Tolerance Test) | Experimental | Device: FreeStyle sensors.Patients with normal OGTT (4 normal values) - will be allocated to 2-week period to FreeStyle sensors. |
| Pathological OGTT - 1 abnormal value | Experimental | Device: FreeStyle sensors., Device: GlucometerPatients will pathological OGTT (either one or more abnormal values) will be randomly allocated to the antenatal care plus FreeStyle group or the SMBG group by a computer generated random number table |
| Pathological OGTT - 2 abnormal value | Experimental | Device: FreeStyle sensors., Device: GlucometerPatients will pathological OGTT (either one or more abnormal values) will be randomly allocated to the antenatal care plus FreeStyle group or the SMBG group by a computer generated random number table |
Who may qualify
- Ages
- 18 to 50 years
- Sex
- Female only
- Healthy volunteers
- Accepted
- Age groups
- Adult
Key inclusion criteria (2 listed)
- Patients with pathological glucose tolerance test (GCT) are eligible for the study.
- Women with a singleton pregnancy who were diagnosed with GDM between 24 and 28 weeks' gestation.
Key exclusion criteria (1 listed)
- Alcohol or substance abuse, pre-gestational diabetes, any hypertensive disorders and chronic diseases requiring medication except for hypothyroidism. Additionally, multiple gestation, known fetal anomaly or chromosomal defects and intrauterine fetal growth restriction (EFW less than the 10th percentile according to local growth charts) will be excluded as well. Written informed consent will be obtained from all study participants.
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 |
|---|---|---|
| FreeStyle sensors.Patients with normal OGTT (4 normal values) - will be allocated to 2-week period to FreeStyle sensors. | Device | Normal OGTT (Oral Glucose Tolerance Test), Pathological OGTT - 1 abnormal value, Pathological OGTT - 2 abnormal value |
| GlucometerPatients with pathological OGTT - 1 abnormal value Patients with pathological OGTT - 2 abnormal value | Device | Pathological OGTT - 1 abnormal value, Pathological OGTT - 2 abnormal value |
Primary outcome
Neonatal hypoglycemia
Time frame: 2 weeks.
Number of Neonatal hypoglycemia(defined as a blood glucose concentration ≤45mg/dL (2.5mmol/L))
2 secondary outcomes
Large-for-gestational age (LGA)
Time frame: 2 weeks
Macrosomia
Time frame: 2 weeks
Results and safety
Results are not available in the source record.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 9 Aug 2016.
- Individual participant dataSharing planned: No
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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.
yariv yogev, professor principal investigator
Tel Aviv Medical Center
Questions about this trial
What is this clinical trial studying?
A Phase 3 study testing FreeStyle sensors. and Glucometer in people with GDM, run by Tel-Aviv Sourasky Medical Center.
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 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 9 Aug 2016. Status can change between updates, so confirm with the study contact before making plans.
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.
What does this phase mean?
Phase 3 studies compare the treatment with the current standard treatment or a placebo in a large group, to confirm how well it works and watch for side effects.
Not every study follows the same path, and some studies (observational studies, device studies) have no phase.
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 yariv yogev, professor (97236925603, yarivy@tlvmc.gov.il), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Neonatal hypoglycemia (time frame: 2 weeks.). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
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 9 Aug 2016.