Relationship of Eating Patterns and Metabolic Parameters, and Teneligliptin Treatment: Interim Results from Post-marketing Surveillance in Japanese Type 2 Diabetes Patients
Introduction Healthy eating is a critical aspect of the prevention and management of type 2 diabetes (T2DM). Disrupted eating patterns can result in poor glucose control and increase the likelihood of diabetic complications. Teneligliptin inhibits dipeptidyl peptidase-4 activity for 24 h and suppres...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Kadowaki, Takashi [verfasserIn] Haneda, Masakazu [verfasserIn] Ito, Hiroshi [verfasserIn] Sasaki, Kazuyo [verfasserIn] Hiraide, Sonoe [verfasserIn] Matsukawa, Miyuki [verfasserIn] Ueno, Makoto [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2018 |
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| Schlagwörter: |
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| Anmerkung: |
© The Author(s) 2018 |
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| Übergeordnetes Werk: |
Enthalten in: Advances in therapy - Springer Healthcare, 2000, 35(2018), 6 vom: 17. Mai, Seite 817-831 |
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| Übergeordnetes Werk: |
volume:35 ; year:2018 ; number:6 ; day:17 ; month:05 ; pages:817-831 |
| Links: |
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| DOI / URN: |
10.1007/s12325-018-0704-2 |
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| Katalog-ID: |
SPR024933864 |
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| 520 | |a Introduction Healthy eating is a critical aspect of the prevention and management of type 2 diabetes (T2DM). Disrupted eating patterns can result in poor glucose control and increase the likelihood of diabetic complications. Teneligliptin inhibits dipeptidyl peptidase-4 activity for 24 h and suppresses postprandial hyperglycemia after all three daily meals. This interim analysis of data from the large-scale post-marketing surveillance of teneligliptin (RUBY) in Japan examined eating patterns and their relationship with metabolic parameters and diabetic complications. We also examined whether eating patterns affected safety and efficacy of teneligliptin. Methods We analyzed baseline data from survey forms collected in RUBY between May 2013 and June 2017, including patient characteristics, metabolic parameters, and eating patterns (eating three meals per day or not; timing of evening meal) before teneligliptin treatment was initiated. Safety and efficacy of 12 months’ teneligliptin (20–40 mg/day) treatment was assessed. Results Data from 10,532 patients were available for analysis. Most patients who did not eat three meals per day (n =757) or who ate their evening meal after 10 PM (n =206) were 64 years old or younger. At baseline, glycated hemoglobin (HbA1c), fasting blood glucose, triglycerides, total and low-density lipoprotein cholesterol, body mass index, alanine aminotransferase, and aspartate aminotransferase levels were higher in those patients who did not eat three meals per day (p < 0.05) or who ate their evening meal late (p < 0.05). Diabetic complications were more common in patients who did not eat three meals per day. Treatment with teneligliptin reduced HbA1c over 6 or 12 months across all eating patterns, with a low incidence of adverse drug reactions. Conclusions Eating patterns may be associated with altered metabolic parameters and diabetic complications among Japanese patients with T2DM. Teneligliptin may be well tolerated and improve hyperglycemia in patients with T2DM irrespective of eating patterns. Funding Mitsubishi Tanabe Pharma Corporation and Daiichi Sankyo Co. Ltd. Trial Registration Number Japic CTI-153047. | ||
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10.1007/s12325-018-0704-2 doi (DE-627)SPR024933864 (SPR)s12325-018-0704-2-e DE-627 ger DE-627 rakwb eng 610 VZ Kadowaki, Takashi verfasserin aut Relationship of Eating Patterns and Metabolic Parameters, and Teneligliptin Treatment: Interim Results from Post-marketing Surveillance in Japanese Type 2 Diabetes Patients 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2018 Introduction Healthy eating is a critical aspect of the prevention and management of type 2 diabetes (T2DM). Disrupted eating patterns can result in poor glucose control and increase the likelihood of diabetic complications. Teneligliptin inhibits dipeptidyl peptidase-4 activity for 24 h and suppresses postprandial hyperglycemia after all three daily meals. This interim analysis of data from the large-scale post-marketing surveillance of teneligliptin (RUBY) in Japan examined eating patterns and their relationship with metabolic parameters and diabetic complications. We also examined whether eating patterns affected safety and efficacy of teneligliptin. Methods We analyzed baseline data from survey forms collected in RUBY between May 2013 and June 2017, including patient characteristics, metabolic parameters, and eating patterns (eating three meals per day or not; timing of evening meal) before teneligliptin treatment was initiated. Safety and efficacy of 12 months’ teneligliptin (20–40 mg/day) treatment was assessed. Results Data from 10,532 patients were available for analysis. Most patients who did not eat three meals per day (n =757) or who ate their evening meal after 10 PM (n =206) were 64 years old or younger. At baseline, glycated hemoglobin (HbA1c), fasting blood glucose, triglycerides, total and low-density lipoprotein cholesterol, body mass index, alanine aminotransferase, and aspartate aminotransferase levels were higher in those patients who did not eat three meals per day (p < 0.05) or who ate their evening meal late (p < 0.05). Diabetic complications were more common in patients who did not eat three meals per day. Treatment with teneligliptin reduced HbA1c over 6 or 12 months across all eating patterns, with a low incidence of adverse drug reactions. Conclusions Eating patterns may be associated with altered metabolic parameters and diabetic complications among Japanese patients with T2DM. Teneligliptin may be well tolerated and improve hyperglycemia in patients with T2DM irrespective of eating patterns. Funding Mitsubishi Tanabe Pharma Corporation and Daiichi Sankyo Co. Ltd. Trial Registration Number Japic CTI-153047. Dipeptidyl peptidase-4 inhibitor (dpeaa)DE-He213 Eating pattern (dpeaa)DE-He213 HbA1c (dpeaa)DE-He213 Post-marketing surveillance (dpeaa)DE-He213 Teneligliptin (dpeaa)DE-He213 Type 2 diabetes (dpeaa)DE-He213 Haneda, Masakazu verfasserin aut Ito, Hiroshi verfasserin aut Sasaki, Kazuyo verfasserin (orcid)0000-0001-5267-8284 aut Hiraide, Sonoe verfasserin aut Matsukawa, Miyuki verfasserin aut Ueno, Makoto verfasserin aut Enthalten in Advances in therapy Springer Healthcare, 2000 35(2018), 6 vom: 17. Mai, Seite 817-831 (DE-627)563170433 (DE-600)2421646-X 1865-8652 nnns volume:35 year:2018 number:6 day:17 month:05 pages:817-831 https://dx.doi.org/10.1007/s12325-018-0704-2 X:SPRINGER Resolving-System kostenfrei Volltext SYSFLAG_0 GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 35 2018 6 17 05 817-831 |
| spelling |
10.1007/s12325-018-0704-2 doi (DE-627)SPR024933864 (SPR)s12325-018-0704-2-e DE-627 ger DE-627 rakwb eng 610 VZ Kadowaki, Takashi verfasserin aut Relationship of Eating Patterns and Metabolic Parameters, and Teneligliptin Treatment: Interim Results from Post-marketing Surveillance in Japanese Type 2 Diabetes Patients 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2018 Introduction Healthy eating is a critical aspect of the prevention and management of type 2 diabetes (T2DM). Disrupted eating patterns can result in poor glucose control and increase the likelihood of diabetic complications. Teneligliptin inhibits dipeptidyl peptidase-4 activity for 24 h and suppresses postprandial hyperglycemia after all three daily meals. This interim analysis of data from the large-scale post-marketing surveillance of teneligliptin (RUBY) in Japan examined eating patterns and their relationship with metabolic parameters and diabetic complications. We also examined whether eating patterns affected safety and efficacy of teneligliptin. Methods We analyzed baseline data from survey forms collected in RUBY between May 2013 and June 2017, including patient characteristics, metabolic parameters, and eating patterns (eating three meals per day or not; timing of evening meal) before teneligliptin treatment was initiated. Safety and efficacy of 12 months’ teneligliptin (20–40 mg/day) treatment was assessed. Results Data from 10,532 patients were available for analysis. Most patients who did not eat three meals per day (n =757) or who ate their evening meal after 10 PM (n =206) were 64 years old or younger. At baseline, glycated hemoglobin (HbA1c), fasting blood glucose, triglycerides, total and low-density lipoprotein cholesterol, body mass index, alanine aminotransferase, and aspartate aminotransferase levels were higher in those patients who did not eat three meals per day (p < 0.05) or who ate their evening meal late (p < 0.05). Diabetic complications were more common in patients who did not eat three meals per day. Treatment with teneligliptin reduced HbA1c over 6 or 12 months across all eating patterns, with a low incidence of adverse drug reactions. Conclusions Eating patterns may be associated with altered metabolic parameters and diabetic complications among Japanese patients with T2DM. Teneligliptin may be well tolerated and improve hyperglycemia in patients with T2DM irrespective of eating patterns. Funding Mitsubishi Tanabe Pharma Corporation and Daiichi Sankyo Co. Ltd. Trial Registration Number Japic CTI-153047. Dipeptidyl peptidase-4 inhibitor (dpeaa)DE-He213 Eating pattern (dpeaa)DE-He213 HbA1c (dpeaa)DE-He213 Post-marketing surveillance (dpeaa)DE-He213 Teneligliptin (dpeaa)DE-He213 Type 2 diabetes (dpeaa)DE-He213 Haneda, Masakazu verfasserin aut Ito, Hiroshi verfasserin aut Sasaki, Kazuyo verfasserin (orcid)0000-0001-5267-8284 aut Hiraide, Sonoe verfasserin aut Matsukawa, Miyuki verfasserin aut Ueno, Makoto verfasserin aut Enthalten in Advances in therapy Springer Healthcare, 2000 35(2018), 6 vom: 17. Mai, Seite 817-831 (DE-627)563170433 (DE-600)2421646-X 1865-8652 nnns volume:35 year:2018 number:6 day:17 month:05 pages:817-831 https://dx.doi.org/10.1007/s12325-018-0704-2 X:SPRINGER Resolving-System kostenfrei Volltext SYSFLAG_0 GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 35 2018 6 17 05 817-831 |
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10.1007/s12325-018-0704-2 doi (DE-627)SPR024933864 (SPR)s12325-018-0704-2-e DE-627 ger DE-627 rakwb eng 610 VZ Kadowaki, Takashi verfasserin aut Relationship of Eating Patterns and Metabolic Parameters, and Teneligliptin Treatment: Interim Results from Post-marketing Surveillance in Japanese Type 2 Diabetes Patients 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2018 Introduction Healthy eating is a critical aspect of the prevention and management of type 2 diabetes (T2DM). Disrupted eating patterns can result in poor glucose control and increase the likelihood of diabetic complications. Teneligliptin inhibits dipeptidyl peptidase-4 activity for 24 h and suppresses postprandial hyperglycemia after all three daily meals. This interim analysis of data from the large-scale post-marketing surveillance of teneligliptin (RUBY) in Japan examined eating patterns and their relationship with metabolic parameters and diabetic complications. We also examined whether eating patterns affected safety and efficacy of teneligliptin. Methods We analyzed baseline data from survey forms collected in RUBY between May 2013 and June 2017, including patient characteristics, metabolic parameters, and eating patterns (eating three meals per day or not; timing of evening meal) before teneligliptin treatment was initiated. Safety and efficacy of 12 months’ teneligliptin (20–40 mg/day) treatment was assessed. Results Data from 10,532 patients were available for analysis. Most patients who did not eat three meals per day (n =757) or who ate their evening meal after 10 PM (n =206) were 64 years old or younger. At baseline, glycated hemoglobin (HbA1c), fasting blood glucose, triglycerides, total and low-density lipoprotein cholesterol, body mass index, alanine aminotransferase, and aspartate aminotransferase levels were higher in those patients who did not eat three meals per day (p < 0.05) or who ate their evening meal late (p < 0.05). Diabetic complications were more common in patients who did not eat three meals per day. Treatment with teneligliptin reduced HbA1c over 6 or 12 months across all eating patterns, with a low incidence of adverse drug reactions. Conclusions Eating patterns may be associated with altered metabolic parameters and diabetic complications among Japanese patients with T2DM. Teneligliptin may be well tolerated and improve hyperglycemia in patients with T2DM irrespective of eating patterns. Funding Mitsubishi Tanabe Pharma Corporation and Daiichi Sankyo Co. Ltd. Trial Registration Number Japic CTI-153047. Dipeptidyl peptidase-4 inhibitor (dpeaa)DE-He213 Eating pattern (dpeaa)DE-He213 HbA1c (dpeaa)DE-He213 Post-marketing surveillance (dpeaa)DE-He213 Teneligliptin (dpeaa)DE-He213 Type 2 diabetes (dpeaa)DE-He213 Haneda, Masakazu verfasserin aut Ito, Hiroshi verfasserin aut Sasaki, Kazuyo verfasserin (orcid)0000-0001-5267-8284 aut Hiraide, Sonoe verfasserin aut Matsukawa, Miyuki verfasserin aut Ueno, Makoto verfasserin aut Enthalten in Advances in therapy Springer Healthcare, 2000 35(2018), 6 vom: 17. Mai, Seite 817-831 (DE-627)563170433 (DE-600)2421646-X 1865-8652 nnns volume:35 year:2018 number:6 day:17 month:05 pages:817-831 https://dx.doi.org/10.1007/s12325-018-0704-2 X:SPRINGER Resolving-System kostenfrei Volltext SYSFLAG_0 GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 35 2018 6 17 05 817-831 |
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10.1007/s12325-018-0704-2 doi (DE-627)SPR024933864 (SPR)s12325-018-0704-2-e DE-627 ger DE-627 rakwb eng 610 VZ Kadowaki, Takashi verfasserin aut Relationship of Eating Patterns and Metabolic Parameters, and Teneligliptin Treatment: Interim Results from Post-marketing Surveillance in Japanese Type 2 Diabetes Patients 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2018 Introduction Healthy eating is a critical aspect of the prevention and management of type 2 diabetes (T2DM). Disrupted eating patterns can result in poor glucose control and increase the likelihood of diabetic complications. Teneligliptin inhibits dipeptidyl peptidase-4 activity for 24 h and suppresses postprandial hyperglycemia after all three daily meals. This interim analysis of data from the large-scale post-marketing surveillance of teneligliptin (RUBY) in Japan examined eating patterns and their relationship with metabolic parameters and diabetic complications. We also examined whether eating patterns affected safety and efficacy of teneligliptin. Methods We analyzed baseline data from survey forms collected in RUBY between May 2013 and June 2017, including patient characteristics, metabolic parameters, and eating patterns (eating three meals per day or not; timing of evening meal) before teneligliptin treatment was initiated. Safety and efficacy of 12 months’ teneligliptin (20–40 mg/day) treatment was assessed. Results Data from 10,532 patients were available for analysis. Most patients who did not eat three meals per day (n =757) or who ate their evening meal after 10 PM (n =206) were 64 years old or younger. At baseline, glycated hemoglobin (HbA1c), fasting blood glucose, triglycerides, total and low-density lipoprotein cholesterol, body mass index, alanine aminotransferase, and aspartate aminotransferase levels were higher in those patients who did not eat three meals per day (p < 0.05) or who ate their evening meal late (p < 0.05). Diabetic complications were more common in patients who did not eat three meals per day. Treatment with teneligliptin reduced HbA1c over 6 or 12 months across all eating patterns, with a low incidence of adverse drug reactions. Conclusions Eating patterns may be associated with altered metabolic parameters and diabetic complications among Japanese patients with T2DM. Teneligliptin may be well tolerated and improve hyperglycemia in patients with T2DM irrespective of eating patterns. Funding Mitsubishi Tanabe Pharma Corporation and Daiichi Sankyo Co. Ltd. Trial Registration Number Japic CTI-153047. Dipeptidyl peptidase-4 inhibitor (dpeaa)DE-He213 Eating pattern (dpeaa)DE-He213 HbA1c (dpeaa)DE-He213 Post-marketing surveillance (dpeaa)DE-He213 Teneligliptin (dpeaa)DE-He213 Type 2 diabetes (dpeaa)DE-He213 Haneda, Masakazu verfasserin aut Ito, Hiroshi verfasserin aut Sasaki, Kazuyo verfasserin (orcid)0000-0001-5267-8284 aut Hiraide, Sonoe verfasserin aut Matsukawa, Miyuki verfasserin aut Ueno, Makoto verfasserin aut Enthalten in Advances in therapy Springer Healthcare, 2000 35(2018), 6 vom: 17. Mai, Seite 817-831 (DE-627)563170433 (DE-600)2421646-X 1865-8652 nnns volume:35 year:2018 number:6 day:17 month:05 pages:817-831 https://dx.doi.org/10.1007/s12325-018-0704-2 X:SPRINGER Resolving-System kostenfrei Volltext SYSFLAG_0 GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 35 2018 6 17 05 817-831 |
| allfieldsSound |
10.1007/s12325-018-0704-2 doi (DE-627)SPR024933864 (SPR)s12325-018-0704-2-e DE-627 ger DE-627 rakwb eng 610 VZ Kadowaki, Takashi verfasserin aut Relationship of Eating Patterns and Metabolic Parameters, and Teneligliptin Treatment: Interim Results from Post-marketing Surveillance in Japanese Type 2 Diabetes Patients 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2018 Introduction Healthy eating is a critical aspect of the prevention and management of type 2 diabetes (T2DM). Disrupted eating patterns can result in poor glucose control and increase the likelihood of diabetic complications. Teneligliptin inhibits dipeptidyl peptidase-4 activity for 24 h and suppresses postprandial hyperglycemia after all three daily meals. This interim analysis of data from the large-scale post-marketing surveillance of teneligliptin (RUBY) in Japan examined eating patterns and their relationship with metabolic parameters and diabetic complications. We also examined whether eating patterns affected safety and efficacy of teneligliptin. Methods We analyzed baseline data from survey forms collected in RUBY between May 2013 and June 2017, including patient characteristics, metabolic parameters, and eating patterns (eating three meals per day or not; timing of evening meal) before teneligliptin treatment was initiated. Safety and efficacy of 12 months’ teneligliptin (20–40 mg/day) treatment was assessed. Results Data from 10,532 patients were available for analysis. Most patients who did not eat three meals per day (n =757) or who ate their evening meal after 10 PM (n =206) were 64 years old or younger. At baseline, glycated hemoglobin (HbA1c), fasting blood glucose, triglycerides, total and low-density lipoprotein cholesterol, body mass index, alanine aminotransferase, and aspartate aminotransferase levels were higher in those patients who did not eat three meals per day (p < 0.05) or who ate their evening meal late (p < 0.05). Diabetic complications were more common in patients who did not eat three meals per day. Treatment with teneligliptin reduced HbA1c over 6 or 12 months across all eating patterns, with a low incidence of adverse drug reactions. Conclusions Eating patterns may be associated with altered metabolic parameters and diabetic complications among Japanese patients with T2DM. Teneligliptin may be well tolerated and improve hyperglycemia in patients with T2DM irrespective of eating patterns. Funding Mitsubishi Tanabe Pharma Corporation and Daiichi Sankyo Co. Ltd. Trial Registration Number Japic CTI-153047. Dipeptidyl peptidase-4 inhibitor (dpeaa)DE-He213 Eating pattern (dpeaa)DE-He213 HbA1c (dpeaa)DE-He213 Post-marketing surveillance (dpeaa)DE-He213 Teneligliptin (dpeaa)DE-He213 Type 2 diabetes (dpeaa)DE-He213 Haneda, Masakazu verfasserin aut Ito, Hiroshi verfasserin aut Sasaki, Kazuyo verfasserin (orcid)0000-0001-5267-8284 aut Hiraide, Sonoe verfasserin aut Matsukawa, Miyuki verfasserin aut Ueno, Makoto verfasserin aut Enthalten in Advances in therapy Springer Healthcare, 2000 35(2018), 6 vom: 17. Mai, Seite 817-831 (DE-627)563170433 (DE-600)2421646-X 1865-8652 nnns volume:35 year:2018 number:6 day:17 month:05 pages:817-831 https://dx.doi.org/10.1007/s12325-018-0704-2 X:SPRINGER Resolving-System kostenfrei Volltext SYSFLAG_0 GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 35 2018 6 17 05 817-831 |
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Kadowaki, Takashi @@aut@@ Haneda, Masakazu @@aut@@ Ito, Hiroshi @@aut@@ Sasaki, Kazuyo @@aut@@ Hiraide, Sonoe @@aut@@ Matsukawa, Miyuki @@aut@@ Ueno, Makoto @@aut@@ |
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Disrupted eating patterns can result in poor glucose control and increase the likelihood of diabetic complications. Teneligliptin inhibits dipeptidyl peptidase-4 activity for 24 h and suppresses postprandial hyperglycemia after all three daily meals. This interim analysis of data from the large-scale post-marketing surveillance of teneligliptin (RUBY) in Japan examined eating patterns and their relationship with metabolic parameters and diabetic complications. We also examined whether eating patterns affected safety and efficacy of teneligliptin. Methods We analyzed baseline data from survey forms collected in RUBY between May 2013 and June 2017, including patient characteristics, metabolic parameters, and eating patterns (eating three meals per day or not; timing of evening meal) before teneligliptin treatment was initiated. Safety and efficacy of 12 months’ teneligliptin (20–40 mg/day) treatment was assessed. Results Data from 10,532 patients were available for analysis. Most patients who did not eat three meals per day (n =757) or who ate their evening meal after 10 PM (n =206) were 64 years old or younger. At baseline, glycated hemoglobin (HbA1c), fasting blood glucose, triglycerides, total and low-density lipoprotein cholesterol, body mass index, alanine aminotransferase, and aspartate aminotransferase levels were higher in those patients who did not eat three meals per day (p < 0.05) or who ate their evening meal late (p < 0.05). Diabetic complications were more common in patients who did not eat three meals per day. Treatment with teneligliptin reduced HbA1c over 6 or 12 months across all eating patterns, with a low incidence of adverse drug reactions. Conclusions Eating patterns may be associated with altered metabolic parameters and diabetic complications among Japanese patients with T2DM. Teneligliptin may be well tolerated and improve hyperglycemia in patients with T2DM irrespective of eating patterns. Funding Mitsubishi Tanabe Pharma Corporation and Daiichi Sankyo Co. Ltd. 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Kadowaki, Takashi |
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Kadowaki, Takashi ddc 610 misc Dipeptidyl peptidase-4 inhibitor misc Eating pattern misc HbA1c misc Post-marketing surveillance misc Teneligliptin misc Type 2 diabetes Relationship of Eating Patterns and Metabolic Parameters, and Teneligliptin Treatment: Interim Results from Post-marketing Surveillance in Japanese Type 2 Diabetes Patients |
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610 VZ Relationship of Eating Patterns and Metabolic Parameters, and Teneligliptin Treatment: Interim Results from Post-marketing Surveillance in Japanese Type 2 Diabetes Patients Dipeptidyl peptidase-4 inhibitor (dpeaa)DE-He213 Eating pattern (dpeaa)DE-He213 HbA1c (dpeaa)DE-He213 Post-marketing surveillance (dpeaa)DE-He213 Teneligliptin (dpeaa)DE-He213 Type 2 diabetes (dpeaa)DE-He213 |
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ddc 610 misc Dipeptidyl peptidase-4 inhibitor misc Eating pattern misc HbA1c misc Post-marketing surveillance misc Teneligliptin misc Type 2 diabetes |
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Relationship of Eating Patterns and Metabolic Parameters, and Teneligliptin Treatment: Interim Results from Post-marketing Surveillance in Japanese Type 2 Diabetes Patients |
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Relationship of Eating Patterns and Metabolic Parameters, and Teneligliptin Treatment: Interim Results from Post-marketing Surveillance in Japanese Type 2 Diabetes Patients |
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relationship of eating patterns and metabolic parameters, and teneligliptin treatment: interim results from post-marketing surveillance in japanese type 2 diabetes patients |
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Relationship of Eating Patterns and Metabolic Parameters, and Teneligliptin Treatment: Interim Results from Post-marketing Surveillance in Japanese Type 2 Diabetes Patients |
| abstract |
Introduction Healthy eating is a critical aspect of the prevention and management of type 2 diabetes (T2DM). Disrupted eating patterns can result in poor glucose control and increase the likelihood of diabetic complications. Teneligliptin inhibits dipeptidyl peptidase-4 activity for 24 h and suppresses postprandial hyperglycemia after all three daily meals. This interim analysis of data from the large-scale post-marketing surveillance of teneligliptin (RUBY) in Japan examined eating patterns and their relationship with metabolic parameters and diabetic complications. We also examined whether eating patterns affected safety and efficacy of teneligliptin. Methods We analyzed baseline data from survey forms collected in RUBY between May 2013 and June 2017, including patient characteristics, metabolic parameters, and eating patterns (eating three meals per day or not; timing of evening meal) before teneligliptin treatment was initiated. Safety and efficacy of 12 months’ teneligliptin (20–40 mg/day) treatment was assessed. Results Data from 10,532 patients were available for analysis. Most patients who did not eat three meals per day (n =757) or who ate their evening meal after 10 PM (n =206) were 64 years old or younger. At baseline, glycated hemoglobin (HbA1c), fasting blood glucose, triglycerides, total and low-density lipoprotein cholesterol, body mass index, alanine aminotransferase, and aspartate aminotransferase levels were higher in those patients who did not eat three meals per day (p < 0.05) or who ate their evening meal late (p < 0.05). Diabetic complications were more common in patients who did not eat three meals per day. Treatment with teneligliptin reduced HbA1c over 6 or 12 months across all eating patterns, with a low incidence of adverse drug reactions. Conclusions Eating patterns may be associated with altered metabolic parameters and diabetic complications among Japanese patients with T2DM. Teneligliptin may be well tolerated and improve hyperglycemia in patients with T2DM irrespective of eating patterns. Funding Mitsubishi Tanabe Pharma Corporation and Daiichi Sankyo Co. Ltd. Trial Registration Number Japic CTI-153047. © The Author(s) 2018 |
| abstractGer |
Introduction Healthy eating is a critical aspect of the prevention and management of type 2 diabetes (T2DM). Disrupted eating patterns can result in poor glucose control and increase the likelihood of diabetic complications. Teneligliptin inhibits dipeptidyl peptidase-4 activity for 24 h and suppresses postprandial hyperglycemia after all three daily meals. This interim analysis of data from the large-scale post-marketing surveillance of teneligliptin (RUBY) in Japan examined eating patterns and their relationship with metabolic parameters and diabetic complications. We also examined whether eating patterns affected safety and efficacy of teneligliptin. Methods We analyzed baseline data from survey forms collected in RUBY between May 2013 and June 2017, including patient characteristics, metabolic parameters, and eating patterns (eating three meals per day or not; timing of evening meal) before teneligliptin treatment was initiated. Safety and efficacy of 12 months’ teneligliptin (20–40 mg/day) treatment was assessed. Results Data from 10,532 patients were available for analysis. Most patients who did not eat three meals per day (n =757) or who ate their evening meal after 10 PM (n =206) were 64 years old or younger. At baseline, glycated hemoglobin (HbA1c), fasting blood glucose, triglycerides, total and low-density lipoprotein cholesterol, body mass index, alanine aminotransferase, and aspartate aminotransferase levels were higher in those patients who did not eat three meals per day (p < 0.05) or who ate their evening meal late (p < 0.05). Diabetic complications were more common in patients who did not eat three meals per day. Treatment with teneligliptin reduced HbA1c over 6 or 12 months across all eating patterns, with a low incidence of adverse drug reactions. Conclusions Eating patterns may be associated with altered metabolic parameters and diabetic complications among Japanese patients with T2DM. Teneligliptin may be well tolerated and improve hyperglycemia in patients with T2DM irrespective of eating patterns. Funding Mitsubishi Tanabe Pharma Corporation and Daiichi Sankyo Co. Ltd. Trial Registration Number Japic CTI-153047. © The Author(s) 2018 |
| abstract_unstemmed |
Introduction Healthy eating is a critical aspect of the prevention and management of type 2 diabetes (T2DM). Disrupted eating patterns can result in poor glucose control and increase the likelihood of diabetic complications. Teneligliptin inhibits dipeptidyl peptidase-4 activity for 24 h and suppresses postprandial hyperglycemia after all three daily meals. This interim analysis of data from the large-scale post-marketing surveillance of teneligliptin (RUBY) in Japan examined eating patterns and their relationship with metabolic parameters and diabetic complications. We also examined whether eating patterns affected safety and efficacy of teneligliptin. Methods We analyzed baseline data from survey forms collected in RUBY between May 2013 and June 2017, including patient characteristics, metabolic parameters, and eating patterns (eating three meals per day or not; timing of evening meal) before teneligliptin treatment was initiated. Safety and efficacy of 12 months’ teneligliptin (20–40 mg/day) treatment was assessed. Results Data from 10,532 patients were available for analysis. Most patients who did not eat three meals per day (n =757) or who ate their evening meal after 10 PM (n =206) were 64 years old or younger. At baseline, glycated hemoglobin (HbA1c), fasting blood glucose, triglycerides, total and low-density lipoprotein cholesterol, body mass index, alanine aminotransferase, and aspartate aminotransferase levels were higher in those patients who did not eat three meals per day (p < 0.05) or who ate their evening meal late (p < 0.05). Diabetic complications were more common in patients who did not eat three meals per day. Treatment with teneligliptin reduced HbA1c over 6 or 12 months across all eating patterns, with a low incidence of adverse drug reactions. Conclusions Eating patterns may be associated with altered metabolic parameters and diabetic complications among Japanese patients with T2DM. Teneligliptin may be well tolerated and improve hyperglycemia in patients with T2DM irrespective of eating patterns. Funding Mitsubishi Tanabe Pharma Corporation and Daiichi Sankyo Co. Ltd. Trial Registration Number Japic CTI-153047. © The Author(s) 2018 |
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Relationship of Eating Patterns and Metabolic Parameters, and Teneligliptin Treatment: Interim Results from Post-marketing Surveillance in Japanese Type 2 Diabetes Patients |
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| score |
7.1671267 |