CClinicalTrials.gg
CompletedNCT02318693Updated Aug 21, 2018Results posted

Efficacy of Sitagliptin and Glibenclamide on the Glucose Variability in Japanese Participants With Type 2 Diabetes Mellitus (MK-0431-355)

A Phase 4 interventional study of Sitagliptin and Glibenclamide in Type 2 Diabetes Mellitus, sponsored by Merck Sharp & Dohme LLC. Completed. Open to participants aged 20 Years to 75 Years. Per ClinicalTrials.gov, last updated 2018-08-21.

Sponsored by Merck Sharp & Dohme LLC · Phase 4, Interventional, and Treatment

Phase
Phase 4
Study type
Interventional
Enrollment
53
Allocation
Randomized
Ages
20 Years to 75 Years
Sex
All
01

Study summary

This is a study of the efficacy of sitagliptin and glibenclamide in a short-term treatment on the glucose variability using continuous glucose monitoring (CGM) in Japanese participants with type 2 diabetes mellitus (T2DM). The primary hypothesis is that treatment with sitagliptin will be superior to treatment with glibenclamide in the change from baseline in mean amplitude of glycemic excursions (MAGE) through continuous glucose monitoring (CGM) after 13 days of treatment.

02

Conditions studied

  • Type 2 Diabetes Mellitus
03

In context

Diabetes Mellitus

10,925 studies on the registry are indexed under Diabetes Mellitus; 1,319 are open to participants now.

This study's enrollment of 53 is below the median of 80 across 8,367 interventional studies indexed under Diabetes Mellitus.

Browse Diabetes Mellitus studies →

Lead sponsor

Merck Sharp & Dohme LLC is the lead sponsor of 2,114 studies on the registry; 133 are open to participants now.

Of its 489 completed or terminated interventional studies of FDA-regulated products, 362 (74%) have results posted.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
20 Years to 75 Years
Sexes eligible
All
Accepts healthy volunteers
No

Inclusion criteria

  • Japanese participants with a diagnosis of Type 2 diabetes mellitus

Exclusion criteria

Exclusion Criteria:

  • History of Type 1 diabetes mellitus or ketoacidosis
  • History of insulin or thiazolidinedione (including fixed-dose drug combinations containing one of these drugs) in the 12 weeks before study participation
05

Study design

Phase
Phase 4
Primary purpose
Treatment
Allocation
Randomized
Intervention model
Parallel assignment
Masking
None (open label)
Enrollment
53 participants (actual)

Study arms

  • Experimental
    Sitagliptin 50 mg

    Sitagliptin 50 mg administered orally once daily before breakfast for 14 days.

    Drug: Sitagliptin

  • Active comparator
    Glibenclamide 2.50 mg TDD

    Glibenclamide 1.25 mg administered orally twice daily (2.5 mg TDD) for 14 days. TDD = Total daily dose.

    Drug: Glibenclamide

Interventions

  • DrugSitagliptin

    Sitagliptin 50 mg orally once a day before breakfast for 14 days

    Also known as: MK-0431

  • DrugGlibenclamide

    Glibenclamide 1.25 mg orally twice a day (2.5 mg/day) before breakfast and dinner for 14 days

06

What researchers measure

Primary outcomes

  1. Change From Baseline in Mean Amplitude of Glycemic Excursions (MAGE) at Day 13

    MAGE is a popular metric for assessment of major (e.g., postprandial) glucose swings. MAGE is calculated as the average of differences between consecutive glucose peaks and nadirs greater than 1 standard deviation (SD) of 24-hour mean glucose. In this assessment, glucose levels were determined using continuous glucose monitoring (CGM) over 24 hours at Baseline and Day 13; CGM values were further corrected for blood glucose values obtained via participant-administered finger-stick. Least squares (LS) means values were derived from a constrained longitudinal analysis model. A negative (-) change from Baseline to Day 13 indicates improvement of the assessed outcome.

    Time frame: Baseline (Day -2) and Day 13

Secondary outcomes

  1. Change From Baseline in the Standard Deviation of Blood Glucose Levels

    SD is a popular metric for assessment of postprandial glucose swings. The SD of all glycemic excursions over 24 hours (i.e., total of 288 glucose values over 24 hours) was determined for Baseline and Day 13. Original values were obtained using CGM and corrected for blood glucose values obtained via participant-administered finger-stick. LS mean values were derived from a constrained longitudinal analysis model. A negative (-) change from Baseline to Day 13 indicates improvement of the assessed outcome.

    Time frame: Baseline (Day -2) and Day 13

  2. Change From Baseline in Maximum Incremental Postprandial Glucose Levels in Each Meal

    The peak postprandial glucose level during the 3 hours post meal minus the preprandial glucose level 1 hour before meal was determined for corrected CGM values at Baseline and Day 13 for breakfast, lunch, and dinner. Meals were standardized with respect to total calories, and protein, fat, and carbohydrate composition as well as timing of administration. CGM values were corrected using a participant-administered finger-stick test for blood glucose. LS mean values were derived from a constrained longitudinal analysis model. A negative (-) change from baseline to Day 13 indicates better control of postprandial glucose.

    Time frame: Baseline (Day -2) and Day 13

  3. Change From Baseline in 24-hour Mean Glucose Level

    The mean glucose level over 24-hours at Baseline and Day 13 was determined using CGM values corrected for participant-administered finger-stick values. LS mean values were derived from a constrained longitudinal analysis model. A negative (-) change from Baseline to Day 13 indicates improvement of the assessed outcome.

    Time frame: Baseline (Day -2) and Day 13

  4. Change From Baseline in Percentage of Hypoglycemic Values (Glucose Sensor Readings: < 70, <60, <50 mg/dL)

    Hypoglycemia, defined as low blood glucose, is a common side effect of medications used to treat diabetes mellitus type 2. The percentage of hypoglycemic corrected CGM readings (sensor glucose \<70, \<60, \<50 mg/dL) over a 24-hour period were determined at baseline and Day 13. CGM values were corrected using a participant-administered finger-stick test for blood glucose. LS mean values were derived from a constrained longitudinal analysis model. A negative (-) change from baseline to Day 13 indicates improvement in occurrence of hypoglycemia.

    Time frame: Baseline (Day -2) and Day 13

07

Results

Posted Jan 23, 2017

Participant flow

Screening for study inclusion was performed over a 4-week period. Adults with type 2 diabetes were randomized into the study.

Participant flow — Overall Study
MilestoneSitagliptin 50 mgGlibenclamide 2.50 mg TDD
Started2627
Treated2626
Completed2626
Not completed01
Withdrew: Protocol violation01

Outcome measures

PrimaryChange From Baseline in Mean Amplitude of Glycemic Excursions (MAGE) at Day 13

MAGE is a popular metric for assessment of major (e.g., postprandial) glucose swings. MAGE is calculated as the average of differences between consecutive glucose peaks and nadirs greater than 1 standard deviation (SD) of 24-hour mean glucose. In this assessment, glucose levels were determined using continuous glucose monitoring (CGM) over 24 hours at Baseline and Day 13; CGM values were further corrected for blood glucose values obtained via participant-administered finger-stick. Least squares (LS) means values were derived from a constrained longitudinal analysis model. A negative (-) change from Baseline to Day 13 indicates improvement of the assessed outcome.

Time frame:
Baseline (Day -2) and Day 13
Reported as:
Least squares mean · mg/dL
Change From Baseline in Mean Amplitude of Glycemic Excursions (MAGE) at Day 13
mg/dLSitagliptin 50 mgGlibenclamide 2.50 mg TDD
Change From Baseline in Mean Amplitude of Glycemic Excursions (MAGE) at Day 13-18.5 (-30.0 to -7.1)-9.7 (-21.1 to 1.6)
Statistical analysis
  • Sitagliptin 50 mg vs Glibenclamide 2.50 mg TDD · constrained longitudinal analysis model · p = 0.245 · Ls means difference: -8.8 · 95% CI -23.8 to 6.2Model included terms for treatment, time and time-by-treatment interaction with a constraint that mean baseline is the same for both treatment groups.
SecondaryChange From Baseline in the Standard Deviation of Blood Glucose Levels

SD is a popular metric for assessment of postprandial glucose swings. The SD of all glycemic excursions over 24 hours (i.e., total of 288 glucose values over 24 hours) was determined for Baseline and Day 13. Original values were obtained using CGM and corrected for blood glucose values obtained via participant-administered finger-stick. LS mean values were derived from a constrained longitudinal analysis model. A negative (-) change from Baseline to Day 13 indicates improvement of the assessed outcome.

Time frame:
Baseline (Day -2) and Day 13
Reported as:
Least squares mean · mg/dL
Change From Baseline in the Standard Deviation of Blood Glucose Levels
mg/dLSitagliptin 50 mgGlibenclamide 2.50 mg TDD
Change From Baseline in the Standard Deviation of Blood Glucose Levels-10.2 (-14.4 to -6.0)-4.2 (-8.4 to -0.1)
Statistical analysis
  • Sitagliptin 50 mg vs Glibenclamide 2.50 mg TDD · constrained longitudinal analysis model · p = 0.029 · Ls means difference: -5.9 · 95% CI -11.3 to -0.6Model included terms for treatment, time and time-by-treatment interaction with a constraint that mean baseline is the same for both treatment groups.
SecondaryChange From Baseline in Maximum Incremental Postprandial Glucose Levels in Each Meal

The peak postprandial glucose level during the 3 hours post meal minus the preprandial glucose level 1 hour before meal was determined for corrected CGM values at Baseline and Day 13 for breakfast, lunch, and dinner. Meals were standardized with respect to total calories, and protein, fat, and carbohydrate composition as well as timing of administration. CGM values were corrected using a participant-administered finger-stick test for blood glucose. LS mean values were derived from a constrained longitudinal analysis model. A negative (-) change from baseline to Day 13 indicates better control of postprandial glucose.

Time frame:
Baseline (Day -2) and Day 13
Reported as:
Least squares mean · mg/dL
Change From Baseline in Maximum Incremental Postprandial Glucose Levels in Each Meal
mg/dLSitagliptin 50 mgGlibenclamide 2.50 mg TDD
Breakfast-24.8 (-34.1 to -15.6)-12.0 (-21.1 to -2.9)
Lunch-13.2 (-24.0 to -2.3)1.2 (-9.6 to 11.9)
Dinner-9.0 (-20.9 to 2.9)-14.1 (-25.9 to -2.3)
Statistical analysis
  • Sitagliptin 50 mg vs Glibenclamide 2.50 mg TDD · constrained longitudinal analysis model · p = 0.041 · Ls means difference: -12.8 · 95% CI -25.1 to -0.5Model included terms for treatment, time and time-by-treatment interaction with a constraint that mean baseline is the same for both treatment groups.
  • Sitagliptin 50 mg vs Glibenclamide 2.50 mg TDD · constrained longitudinal analysis model · p = 0.043 · Ls means difference: -14.3 · 95% CI -28.1 to -0.5Model included terms for treatment, time and time-by-treatment interaction with a constraint that mean baseline is the same for both treatment groups.
  • Sitagliptin 50 mg vs Glibenclamide 2.50 mg TDD · constrained longitudinal analysis model · p = 0.509 · Ls means difference: 5.1 · 95% CI -10.3 to 20.4Model included terms for treatment, time and time-by-treatment interaction with a constraint that mean baseline is the same for both treatment groups.
SecondaryChange From Baseline in 24-hour Mean Glucose Level

The mean glucose level over 24-hours at Baseline and Day 13 was determined using CGM values corrected for participant-administered finger-stick values. LS mean values were derived from a constrained longitudinal analysis model. A negative (-) change from Baseline to Day 13 indicates improvement of the assessed outcome.

Time frame:
Baseline (Day -2) and Day 13
Reported as:
Least squares mean · mg/dL
Change From Baseline in 24-hour Mean Glucose Level
mg/dLSitagliptin 50 mgGlibenclamide 2.50 mg TDD
Change From Baseline in 24-hour Mean Glucose Level-19.1 (-28.5 to -9.7)-34.8 (-44.0 to -25.5)
Statistical analysis
  • Sitagliptin 50 mg vs Glibenclamide 2.50 mg TDD · constrained longitudinal analysis model · p = 0.020 · Ls means difference: 15.7 · 95% CI 2.5 to 28.8Model included terms for treatment, time and time-by-treatment interaction with a constraint that mean baseline is the same for both treatment groups.
SecondaryChange From Baseline in Percentage of Hypoglycemic Values (Glucose Sensor Readings: < 70, <60, <50 mg/dL)

Hypoglycemia, defined as low blood glucose, is a common side effect of medications used to treat diabetes mellitus type 2. The percentage of hypoglycemic corrected CGM readings (sensor glucose \<70, \<60, \<50 mg/dL) over a 24-hour period were determined at baseline and Day 13. CGM values were corrected using a participant-administered finger-stick test for blood glucose. LS mean values were derived from a constrained longitudinal analysis model. A negative (-) change from baseline to Day 13 indicates improvement in occurrence of hypoglycemia.

Time frame:
Baseline (Day -2) and Day 13
Reported as:
Least squares mean · Percent change
Change From Baseline in Percentage of Hypoglycemic Values (Glucose Sensor Readings: < 70, <60, <50 mg/dL)
Percent changeSitagliptin 50 mgGlibenclamide 2.50 mg TDD
<70 mg/dL-0.3 (-1.6 to 1.0)0.8 (-0.5 to 2.1)
<60 mg/dL-0.4 (-1.3 to 0.5)0.2 (-0.7 to 1.1)
<50 mg/dL-0.3 (-0.8 to 0.2)-0.3 (-0.7 to 0.2)
Statistical analysis
  • Sitagliptin 50 mg vs Glibenclamide 2.50 mg TDD · constrained longitudinal analysis model · p = 0.134 · Ls means difference: -1.1 · 95% CI -2.5 to 0.3
  • Sitagliptin 50 mg vs Glibenclamide 2.50 mg TDD · constrained longitudinal analysis model · p = 0.226 · Ls means difference: -0.6 · 95% CI -1.5 to 0.4
  • Sitagliptin 50 mg vs Glibenclamide 2.50 mg TDD · constrained longitudinal analysis model · p = 0.332 · Ls means difference: 0.0 · 95% CI -0.1 to 0.0

Adverse events

Collected over Up to 4 weeks. Non-serious events are listed at a 5% frequency threshold.

Adverse event summary by group
GroupDeathsSeriousOther
Sitagliptin 50 mg—0/26 (0%)11/26 (42.3%)
Glibenclamide 2.50 mg TDD—0/26 (0%)10/26 (38.5%)
Most frequent other events
Most frequent other events
EventSitagliptin 50 mgGlibenclamide 2.50 mg TDD
ErythemaSkin and subcutaneous tissue disorders10/266/26
HypoglycaemiaMetabolism and nutrition disorders2/263/26
PeriodontitisInfections and infestations2/260/26
Dermatitis ContactSkin and subcutaneous tissue disorders0/262/26
PruritisSkin and subcutaneous tissue disorders2/262/26

Baseline characteristics

Baseline data is provided for the Full Analysis Set (FAS) population consisting of all randomized participants who received at least one dose of study treatment, with at least one post-randomization/post-treatment observation for analysis, and with applicable baseline data.

Age, Continuous
Age, Continuous(Years)Sitagliptin 50 mgGlibenclamide 2.50 mg TDDTotal
Mean60.2 ± 8.459.5 ± 10.759.8 ± 9.5
Age, Customized
Age, Customized(Participants)Sitagliptin 50 mgGlibenclamide 2.50 mg TDDTotal
<65 years151631
>=65 years111021
Sex: Female, Male
Sex: Female, Male(Participants)Sitagliptin 50 mgGlibenclamide 2.50 mg TDDTotal
Female011
Male262551
Body Weight
Body Weight(kg)Sitagliptin 50 mgGlibenclamide 2.50 mg TDDTotal
Mean70.2 ± 8.270.7 ± 11.270.5 ± 9.7
Height
Height(cm)Sitagliptin 50 mgGlibenclamide 2.50 mg TDDTotal
Mean169.5 ± 5.4169.3 ± 5.3169.4 ± 5.3
Body Mass Index
Body Mass Index(kg/m^2)Sitagliptin 50 mgGlibenclamide 2.50 mg TDDTotal
Mean24.4 ± 2.124.6 ± 3.024.5 ± 2.6
Duration of Diabetes Mellitus
Duration of Diabetes Mellitus(Years)Sitagliptin 50 mgGlibenclamide 2.50 mg TDDTotal
Mean6.4 ± 5.49.9 ± 5.58.2 ± 5.7
Smoking Status
Smoking Status(Participants)Sitagliptin 50 mgGlibenclamide 2.50 mg TDDTotal
Current Smoker8917
Ex-Smoker101020
Never Smoked8715

2 further baseline measures are reported on the registry.

08

Study locations

No study locations are listed for this record.

09

References and documents

Publications

  • Suzuki R, Eiki JI, Moritoyo T, Furihata K, Wakana A, Ohta Y, Tokita S, Kadowaki T. Effect of short-term treatment with sitagliptin or glibenclamide on daily glucose fluctuation in drug-naive Japanese patients with type 2 diabetes mellitus. Diabetes Obes Metab. 2018 Sep;20(9):2274-2281. doi: 10.1111/dom.13364. Epub 2018 Jun 11. PubMed 29770541 ↗

Individual participant data

Plan to share: Yes — https://www.merck.com/clinical-trials/pdf/ProcedureAccessClinicalTrialData.pdf

10

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Aug 21, 2018, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
11

Registry details

Key details

Study ID
NCT02318693
Lead sponsor
Merck Sharp & Dohme LLC
Responsible party
Sponsor
First posted
Dec 17, 2014
Start date
Feb 4, 2015
Primary completion
Dec 15, 2015
Completion
Dec 15, 2015
Results posted
Jan 23, 2017
Last update
Aug 21, 2018

Study contacts

Medical Director
study director · Merck Sharp & Dohme LLC

Oversight

Data monitoring committee
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is completed, as verified in Jul 2018. You cannot join it, but the record below documents what was studied.

Follow this study

Get an email when the registry record changes — status, dates, results — or when someone posts here.

Sign in to follow

Discussion

Questions and observations about this study, from anyone following it. Not medical advice, and not a channel to the study team — their contact details are on the registry record.

Sign in to join the discussion. Reading takes no account; posting does. You choose a display name, and a pseudonym is the default.

Nothing here yet. If you are running this trial, taking part in it, or weighing whether to, this is the place to say so.

Start the discussion