cgm device Search Results


continuous glucose monitor (cgm) device  (Meiqi Trading Co)
90
Meiqi Trading Co continuous glucose monitor (cgm) device
(A) Flow diagram of study design and participating patients. (B) Changes of daily insulin dose. Data of the same subject at different follow‐up time points are connected by gray lines. False discovery rate (represented as q ‐value) was calculated using repeated‐measures one‐way analysis of variance corrected by Benjamini and Hochberg method for multiple comparisons, n = 14. (C) Postprandial glucose excursions expressed as percentage of baseline during steamed bun meal test (SBMT). All data are represented as mean ± SEM, * q < 0.05 by mixed‐effects model for repeated measures corrected by Benjamini and Hochberg method, n = 9–12. (D–H) Changes of glycemic variability (GV) indices at 1 week (T1W) calculated using continuous glucose monitor <t>(CGM)</t> data: (D) MAGE, (E) SDBG, (F) BG > 11.1 mmol/L, (G) LAGE, and (H) MBG. † p < .05 by paired t test (two‐tailed), n = 14. (I–J) Changes of GV indices at T1W, 1 month (T1M), and 3 months (T3M) calculated using self‐monitoring of blood glucose data: (I) TIR and (J) hypoglycemic episodes. $ q < 0.05 as stated in (B); # q < 0.05 by repeated‐measures Friedman test corrected by Benjamini and Hochberg method, n = 14. (K) Representative CGM 24‐h glucose profiles demonstrating improved glycemic stability in two patients <t>by</t> <t>WMT.</t> Values of some GV indices were the same for different participants. Thus, both points and connecting lines overlapped with each other, exhibiting fewer than 14 points. LAGE, largest amplitude of glycemic excursions; MAGE, mean amplitude of glycemic excursion; MBG, mean blood glucose; SDBG, SD of blood glucose; TIR, time in range; WMT, washed microbiota transplantation.
Continuous Glucose Monitor (Cgm) Device, supplied by Meiqi Trading Co, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/cgm+device/pmc10859319-55-9-14?v=Meiqi+Trading+Co
Average 90 stars, based on 1 article reviews
continuous glucose monitor (cgm) device - by Bioz Stars, 2026-08
90/100 stars
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flash cgm device  (Explorys Inc)
90
Explorys Inc flash cgm device
(A) Flow diagram of study design and participating patients. (B) Changes of daily insulin dose. Data of the same subject at different follow‐up time points are connected by gray lines. False discovery rate (represented as q ‐value) was calculated using repeated‐measures one‐way analysis of variance corrected by Benjamini and Hochberg method for multiple comparisons, n = 14. (C) Postprandial glucose excursions expressed as percentage of baseline during steamed bun meal test (SBMT). All data are represented as mean ± SEM, * q < 0.05 by mixed‐effects model for repeated measures corrected by Benjamini and Hochberg method, n = 9–12. (D–H) Changes of glycemic variability (GV) indices at 1 week (T1W) calculated using continuous glucose monitor <t>(CGM)</t> data: (D) MAGE, (E) SDBG, (F) BG > 11.1 mmol/L, (G) LAGE, and (H) MBG. † p < .05 by paired t test (two‐tailed), n = 14. (I–J) Changes of GV indices at T1W, 1 month (T1M), and 3 months (T3M) calculated using self‐monitoring of blood glucose data: (I) TIR and (J) hypoglycemic episodes. $ q < 0.05 as stated in (B); # q < 0.05 by repeated‐measures Friedman test corrected by Benjamini and Hochberg method, n = 14. (K) Representative CGM 24‐h glucose profiles demonstrating improved glycemic stability in two patients <t>by</t> <t>WMT.</t> Values of some GV indices were the same for different participants. Thus, both points and connecting lines overlapped with each other, exhibiting fewer than 14 points. LAGE, largest amplitude of glycemic excursions; MAGE, mean amplitude of glycemic excursion; MBG, mean blood glucose; SDBG, SD of blood glucose; TIR, time in range; WMT, washed microbiota transplantation.
Flash Cgm Device, supplied by Explorys Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/cgm+device/pm34165343-42-47-9?v=Explorys+Inc
Average 90 stars, based on 1 article reviews
flash cgm device - by Bioz Stars, 2026-08
90/100 stars
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cgm device rgmsiii  (Meiqi Trading Co)
90
Meiqi Trading Co cgm device rgmsiii
(A) Flow diagram of study design and participating patients. (B) Changes of daily insulin dose. Data of the same subject at different follow‐up time points are connected by gray lines. False discovery rate (represented as q ‐value) was calculated using repeated‐measures one‐way analysis of variance corrected by Benjamini and Hochberg method for multiple comparisons, n = 14. (C) Postprandial glucose excursions expressed as percentage of baseline during steamed bun meal test (SBMT). All data are represented as mean ± SEM, * q < 0.05 by mixed‐effects model for repeated measures corrected by Benjamini and Hochberg method, n = 9–12. (D–H) Changes of glycemic variability (GV) indices at 1 week (T1W) calculated using continuous glucose monitor <t>(CGM)</t> data: (D) MAGE, (E) SDBG, (F) BG > 11.1 mmol/L, (G) LAGE, and (H) MBG. † p < .05 by paired t test (two‐tailed), n = 14. (I–J) Changes of GV indices at T1W, 1 month (T1M), and 3 months (T3M) calculated using self‐monitoring of blood glucose data: (I) TIR and (J) hypoglycemic episodes. $ q < 0.05 as stated in (B); # q < 0.05 by repeated‐measures Friedman test corrected by Benjamini and Hochberg method, n = 14. (K) Representative CGM 24‐h glucose profiles demonstrating improved glycemic stability in two patients <t>by</t> <t>WMT.</t> Values of some GV indices were the same for different participants. Thus, both points and connecting lines overlapped with each other, exhibiting fewer than 14 points. LAGE, largest amplitude of glycemic excursions; MAGE, mean amplitude of glycemic excursion; MBG, mean blood glucose; SDBG, SD of blood glucose; TIR, time in range; WMT, washed microbiota transplantation.
Cgm Device Rgmsiii, supplied by Meiqi Trading Co, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/cgm+device/pmc11836829__bmjopen___2024___090664__reviewer_comments-124-1-10?v=Meiqi+Trading+Co
Average 90 stars, based on 1 article reviews
cgm device rgmsiii - by Bioz Stars, 2026-08
90/100 stars
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glucoday cgm  (A Menarini Diagnostics S r l)
90
A Menarini Diagnostics S r l glucoday cgm
(A) Flow diagram of study design and participating patients. (B) Changes of daily insulin dose. Data of the same subject at different follow‐up time points are connected by gray lines. False discovery rate (represented as q ‐value) was calculated using repeated‐measures one‐way analysis of variance corrected by Benjamini and Hochberg method for multiple comparisons, n = 14. (C) Postprandial glucose excursions expressed as percentage of baseline during steamed bun meal test (SBMT). All data are represented as mean ± SEM, * q < 0.05 by mixed‐effects model for repeated measures corrected by Benjamini and Hochberg method, n = 9–12. (D–H) Changes of glycemic variability (GV) indices at 1 week (T1W) calculated using continuous glucose monitor <t>(CGM)</t> data: (D) MAGE, (E) SDBG, (F) BG > 11.1 mmol/L, (G) LAGE, and (H) MBG. † p < .05 by paired t test (two‐tailed), n = 14. (I–J) Changes of GV indices at T1W, 1 month (T1M), and 3 months (T3M) calculated using self‐monitoring of blood glucose data: (I) TIR and (J) hypoglycemic episodes. $ q < 0.05 as stated in (B); # q < 0.05 by repeated‐measures Friedman test corrected by Benjamini and Hochberg method, n = 14. (K) Representative CGM 24‐h glucose profiles demonstrating improved glycemic stability in two patients <t>by</t> <t>WMT.</t> Values of some GV indices were the same for different participants. Thus, both points and connecting lines overlapped with each other, exhibiting fewer than 14 points. LAGE, largest amplitude of glycemic excursions; MAGE, mean amplitude of glycemic excursion; MBG, mean blood glucose; SDBG, SD of blood glucose; TIR, time in range; WMT, washed microbiota transplantation.
Glucoday Cgm, supplied by A Menarini Diagnostics S r l, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/cgm+device/pmc02918623-220-51-52?v=A+Menarini+Diagnostics+S+r+l
Average 90 stars, based on 1 article reviews
glucoday cgm - by Bioz Stars, 2026-08
90/100 stars
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cgm device  (GlySure Ltd)
90
GlySure Ltd cgm device
(A) Flow diagram of study design and participating patients. (B) Changes of daily insulin dose. Data of the same subject at different follow‐up time points are connected by gray lines. False discovery rate (represented as q ‐value) was calculated using repeated‐measures one‐way analysis of variance corrected by Benjamini and Hochberg method for multiple comparisons, n = 14. (C) Postprandial glucose excursions expressed as percentage of baseline during steamed bun meal test (SBMT). All data are represented as mean ± SEM, * q < 0.05 by mixed‐effects model for repeated measures corrected by Benjamini and Hochberg method, n = 9–12. (D–H) Changes of glycemic variability (GV) indices at 1 week (T1W) calculated using continuous glucose monitor <t>(CGM)</t> data: (D) MAGE, (E) SDBG, (F) BG > 11.1 mmol/L, (G) LAGE, and (H) MBG. † p < .05 by paired t test (two‐tailed), n = 14. (I–J) Changes of GV indices at T1W, 1 month (T1M), and 3 months (T3M) calculated using self‐monitoring of blood glucose data: (I) TIR and (J) hypoglycemic episodes. $ q < 0.05 as stated in (B); # q < 0.05 by repeated‐measures Friedman test corrected by Benjamini and Hochberg method, n = 14. (K) Representative CGM 24‐h glucose profiles demonstrating improved glycemic stability in two patients <t>by</t> <t>WMT.</t> Values of some GV indices were the same for different participants. Thus, both points and connecting lines overlapped with each other, exhibiting fewer than 14 points. LAGE, largest amplitude of glycemic excursions; MAGE, mean amplitude of glycemic excursion; MBG, mean blood glucose; SDBG, SD of blood glucose; TIR, time in range; WMT, washed microbiota transplantation.
Cgm Device, supplied by GlySure Ltd, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/cgm+device/pmc05761979-151-6-1?v=GlySure+Ltd
Average 90 stars, based on 1 article reviews
cgm device - by Bioz Stars, 2026-08
90/100 stars
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implantable continuous glucose monitoring device eversense continuous glucose monitoring (cgm) system  (Senseonics)
90
Senseonics implantable continuous glucose monitoring device eversense continuous glucose monitoring (cgm) system
(A) Flow diagram of study design and participating patients. (B) Changes of daily insulin dose. Data of the same subject at different follow‐up time points are connected by gray lines. False discovery rate (represented as q ‐value) was calculated using repeated‐measures one‐way analysis of variance corrected by Benjamini and Hochberg method for multiple comparisons, n = 14. (C) Postprandial glucose excursions expressed as percentage of baseline during steamed bun meal test (SBMT). All data are represented as mean ± SEM, * q < 0.05 by mixed‐effects model for repeated measures corrected by Benjamini and Hochberg method, n = 9–12. (D–H) Changes of glycemic variability (GV) indices at 1 week (T1W) calculated using continuous glucose monitor <t>(CGM)</t> data: (D) MAGE, (E) SDBG, (F) BG > 11.1 mmol/L, (G) LAGE, and (H) MBG. † p < .05 by paired t test (two‐tailed), n = 14. (I–J) Changes of GV indices at T1W, 1 month (T1M), and 3 months (T3M) calculated using self‐monitoring of blood glucose data: (I) TIR and (J) hypoglycemic episodes. $ q < 0.05 as stated in (B); # q < 0.05 by repeated‐measures Friedman test corrected by Benjamini and Hochberg method, n = 14. (K) Representative CGM 24‐h glucose profiles demonstrating improved glycemic stability in two patients <t>by</t> <t>WMT.</t> Values of some GV indices were the same for different participants. Thus, both points and connecting lines overlapped with each other, exhibiting fewer than 14 points. LAGE, largest amplitude of glycemic excursions; MAGE, mean amplitude of glycemic excursion; MBG, mean blood glucose; SDBG, SD of blood glucose; TIR, time in range; WMT, washed microbiota transplantation.
Implantable Continuous Glucose Monitoring Device Eversense Continuous Glucose Monitoring (Cgm) System, supplied by Senseonics, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/cgm+device/pmc07304103-218-6-18?v=Senseonics
Average 90 stars, based on 1 article reviews
implantable continuous glucose monitoring device eversense continuous glucose monitoring (cgm) system - by Bioz Stars, 2026-08
90/100 stars
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subcutaneous cgm device eversense cgm system  (Senseonics)
90
Senseonics subcutaneous cgm device eversense cgm system
(A) Flow diagram of study design and participating patients. (B) Changes of daily insulin dose. Data of the same subject at different follow‐up time points are connected by gray lines. False discovery rate (represented as q ‐value) was calculated using repeated‐measures one‐way analysis of variance corrected by Benjamini and Hochberg method for multiple comparisons, n = 14. (C) Postprandial glucose excursions expressed as percentage of baseline during steamed bun meal test (SBMT). All data are represented as mean ± SEM, * q < 0.05 by mixed‐effects model for repeated measures corrected by Benjamini and Hochberg method, n = 9–12. (D–H) Changes of glycemic variability (GV) indices at 1 week (T1W) calculated using continuous glucose monitor <t>(CGM)</t> data: (D) MAGE, (E) SDBG, (F) BG > 11.1 mmol/L, (G) LAGE, and (H) MBG. † p < .05 by paired t test (two‐tailed), n = 14. (I–J) Changes of GV indices at T1W, 1 month (T1M), and 3 months (T3M) calculated using self‐monitoring of blood glucose data: (I) TIR and (J) hypoglycemic episodes. $ q < 0.05 as stated in (B); # q < 0.05 by repeated‐measures Friedman test corrected by Benjamini and Hochberg method, n = 14. (K) Representative CGM 24‐h glucose profiles demonstrating improved glycemic stability in two patients <t>by</t> <t>WMT.</t> Values of some GV indices were the same for different participants. Thus, both points and connecting lines overlapped with each other, exhibiting fewer than 14 points. LAGE, largest amplitude of glycemic excursions; MAGE, mean amplitude of glycemic excursion; MBG, mean blood glucose; SDBG, SD of blood glucose; TIR, time in range; WMT, washed microbiota transplantation.
Subcutaneous Cgm Device Eversense Cgm System, supplied by Senseonics, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/cgm+device/pmc07782996-59-2-11?v=Senseonics
Average 90 stars, based on 1 article reviews
subcutaneous cgm device eversense cgm system - by Bioz Stars, 2026-08
90/100 stars
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spinal thermal massage device cgm mb-1901  (Ceragem Medisys)
90
Ceragem Medisys spinal thermal massage device cgm mb-1901
(A) Flow diagram of study design and participating patients. (B) Changes of daily insulin dose. Data of the same subject at different follow‐up time points are connected by gray lines. False discovery rate (represented as q ‐value) was calculated using repeated‐measures one‐way analysis of variance corrected by Benjamini and Hochberg method for multiple comparisons, n = 14. (C) Postprandial glucose excursions expressed as percentage of baseline during steamed bun meal test (SBMT). All data are represented as mean ± SEM, * q < 0.05 by mixed‐effects model for repeated measures corrected by Benjamini and Hochberg method, n = 9–12. (D–H) Changes of glycemic variability (GV) indices at 1 week (T1W) calculated using continuous glucose monitor <t>(CGM)</t> data: (D) MAGE, (E) SDBG, (F) BG > 11.1 mmol/L, (G) LAGE, and (H) MBG. † p < .05 by paired t test (two‐tailed), n = 14. (I–J) Changes of GV indices at T1W, 1 month (T1M), and 3 months (T3M) calculated using self‐monitoring of blood glucose data: (I) TIR and (J) hypoglycemic episodes. $ q < 0.05 as stated in (B); # q < 0.05 by repeated‐measures Friedman test corrected by Benjamini and Hochberg method, n = 14. (K) Representative CGM 24‐h glucose profiles demonstrating improved glycemic stability in two patients <t>by</t> <t>WMT.</t> Values of some GV indices were the same for different participants. Thus, both points and connecting lines overlapped with each other, exhibiting fewer than 14 points. LAGE, largest amplitude of glycemic excursions; MAGE, mean amplitude of glycemic excursion; MBG, mean blood glucose; SDBG, SD of blood glucose; TIR, time in range; WMT, washed microbiota transplantation.
Spinal Thermal Massage Device Cgm Mb 1901, supplied by Ceragem Medisys, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/cgm+device/pmc08307674-61-24-30?v=Ceragem+Medisys
Average 90 stars, based on 1 article reviews
spinal thermal massage device cgm mb-1901 - by Bioz Stars, 2026-08
90/100 stars
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fiber coupled cgm device  (BioTex Inc)
90
BioTex Inc fiber coupled cgm device
(A) Flow diagram of study design and participating patients. (B) Changes of daily insulin dose. Data of the same subject at different follow‐up time points are connected by gray lines. False discovery rate (represented as q ‐value) was calculated using repeated‐measures one‐way analysis of variance corrected by Benjamini and Hochberg method for multiple comparisons, n = 14. (C) Postprandial glucose excursions expressed as percentage of baseline during steamed bun meal test (SBMT). All data are represented as mean ± SEM, * q < 0.05 by mixed‐effects model for repeated measures corrected by Benjamini and Hochberg method, n = 9–12. (D–H) Changes of glycemic variability (GV) indices at 1 week (T1W) calculated using continuous glucose monitor <t>(CGM)</t> data: (D) MAGE, (E) SDBG, (F) BG > 11.1 mmol/L, (G) LAGE, and (H) MBG. † p < .05 by paired t test (two‐tailed), n = 14. (I–J) Changes of GV indices at T1W, 1 month (T1M), and 3 months (T3M) calculated using self‐monitoring of blood glucose data: (I) TIR and (J) hypoglycemic episodes. $ q < 0.05 as stated in (B); # q < 0.05 by repeated‐measures Friedman test corrected by Benjamini and Hochberg method, n = 14. (K) Representative CGM 24‐h glucose profiles demonstrating improved glycemic stability in two patients <t>by</t> <t>WMT.</t> Values of some GV indices were the same for different participants. Thus, both points and connecting lines overlapped with each other, exhibiting fewer than 14 points. LAGE, largest amplitude of glycemic excursions; MAGE, mean amplitude of glycemic excursion; MBG, mean blood glucose; SDBG, SD of blood glucose; TIR, time in range; WMT, washed microbiota transplantation.
Fiber Coupled Cgm Device, supplied by BioTex Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/cgm+device/pmc05438212-32-18-26?v=BioTex+Inc
Average 90 stars, based on 1 article reviews
fiber coupled cgm device - by Bioz Stars, 2026-08
90/100 stars
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cgm device  (RenderX Inc)
90
RenderX Inc cgm device
(A) Flow diagram of study design and participating patients. (B) Changes of daily insulin dose. Data of the same subject at different follow‐up time points are connected by gray lines. False discovery rate (represented as q ‐value) was calculated using repeated‐measures one‐way analysis of variance corrected by Benjamini and Hochberg method for multiple comparisons, n = 14. (C) Postprandial glucose excursions expressed as percentage of baseline during steamed bun meal test (SBMT). All data are represented as mean ± SEM, * q < 0.05 by mixed‐effects model for repeated measures corrected by Benjamini and Hochberg method, n = 9–12. (D–H) Changes of glycemic variability (GV) indices at 1 week (T1W) calculated using continuous glucose monitor <t>(CGM)</t> data: (D) MAGE, (E) SDBG, (F) BG > 11.1 mmol/L, (G) LAGE, and (H) MBG. † p < .05 by paired t test (two‐tailed), n = 14. (I–J) Changes of GV indices at T1W, 1 month (T1M), and 3 months (T3M) calculated using self‐monitoring of blood glucose data: (I) TIR and (J) hypoglycemic episodes. $ q < 0.05 as stated in (B); # q < 0.05 by repeated‐measures Friedman test corrected by Benjamini and Hochberg method, n = 14. (K) Representative CGM 24‐h glucose profiles demonstrating improved glycemic stability in two patients <t>by</t> <t>WMT.</t> Values of some GV indices were the same for different participants. Thus, both points and connecting lines overlapped with each other, exhibiting fewer than 14 points. LAGE, largest amplitude of glycemic excursions; MAGE, mean amplitude of glycemic excursion; MBG, mean blood glucose; SDBG, SD of blood glucose; TIR, time in range; WMT, washed microbiota transplantation.
Cgm Device, supplied by RenderX Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/cgm+device/pm37294607-67-17-13?v=RenderX+Inc
Average 90 stars, based on 1 article reviews
cgm device - by Bioz Stars, 2026-08
90/100 stars
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electrochemical cgm devices  (Clinical and Laboratory Standards Institute)
90
Clinical and Laboratory Standards Institute electrochemical cgm devices
(A) Flow diagram of study design and participating patients. (B) Changes of daily insulin dose. Data of the same subject at different follow‐up time points are connected by gray lines. False discovery rate (represented as q ‐value) was calculated using repeated‐measures one‐way analysis of variance corrected by Benjamini and Hochberg method for multiple comparisons, n = 14. (C) Postprandial glucose excursions expressed as percentage of baseline during steamed bun meal test (SBMT). All data are represented as mean ± SEM, * q < 0.05 by mixed‐effects model for repeated measures corrected by Benjamini and Hochberg method, n = 9–12. (D–H) Changes of glycemic variability (GV) indices at 1 week (T1W) calculated using continuous glucose monitor <t>(CGM)</t> data: (D) MAGE, (E) SDBG, (F) BG > 11.1 mmol/L, (G) LAGE, and (H) MBG. † p < .05 by paired t test (two‐tailed), n = 14. (I–J) Changes of GV indices at T1W, 1 month (T1M), and 3 months (T3M) calculated using self‐monitoring of blood glucose data: (I) TIR and (J) hypoglycemic episodes. $ q < 0.05 as stated in (B); # q < 0.05 by repeated‐measures Friedman test corrected by Benjamini and Hochberg method, n = 14. (K) Representative CGM 24‐h glucose profiles demonstrating improved glycemic stability in two patients <t>by</t> <t>WMT.</t> Values of some GV indices were the same for different participants. Thus, both points and connecting lines overlapped with each other, exhibiting fewer than 14 points. LAGE, largest amplitude of glycemic excursions; MAGE, mean amplitude of glycemic excursion; MBG, mean blood glucose; SDBG, SD of blood glucose; TIR, time in range; WMT, washed microbiota transplantation.
Electrochemical Cgm Devices, supplied by Clinical and Laboratory Standards Institute, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/cgm+device/pmc03624030-245-3-11?v=Clinical+and+Laboratory+Standards+Institute
Average 90 stars, based on 1 article reviews
electrochemical cgm devices - by Bioz Stars, 2026-08
90/100 stars
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cgm device guideline  (Clinical and Laboratory Standards Institute)
90
Clinical and Laboratory Standards Institute cgm device guideline
(A) Flow diagram of study design and participating patients. (B) Changes of daily insulin dose. Data of the same subject at different follow‐up time points are connected by gray lines. False discovery rate (represented as q ‐value) was calculated using repeated‐measures one‐way analysis of variance corrected by Benjamini and Hochberg method for multiple comparisons, n = 14. (C) Postprandial glucose excursions expressed as percentage of baseline during steamed bun meal test (SBMT). All data are represented as mean ± SEM, * q < 0.05 by mixed‐effects model for repeated measures corrected by Benjamini and Hochberg method, n = 9–12. (D–H) Changes of glycemic variability (GV) indices at 1 week (T1W) calculated using continuous glucose monitor <t>(CGM)</t> data: (D) MAGE, (E) SDBG, (F) BG > 11.1 mmol/L, (G) LAGE, and (H) MBG. † p < .05 by paired t test (two‐tailed), n = 14. (I–J) Changes of GV indices at T1W, 1 month (T1M), and 3 months (T3M) calculated using self‐monitoring of blood glucose data: (I) TIR and (J) hypoglycemic episodes. $ q < 0.05 as stated in (B); # q < 0.05 by repeated‐measures Friedman test corrected by Benjamini and Hochberg method, n = 14. (K) Representative CGM 24‐h glucose profiles demonstrating improved glycemic stability in two patients <t>by</t> <t>WMT.</t> Values of some GV indices were the same for different participants. Thus, both points and connecting lines overlapped with each other, exhibiting fewer than 14 points. LAGE, largest amplitude of glycemic excursions; MAGE, mean amplitude of glycemic excursion; MBG, mean blood glucose; SDBG, SD of blood glucose; TIR, time in range; WMT, washed microbiota transplantation.
Cgm Device Guideline, supplied by Clinical and Laboratory Standards Institute, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/cgm+device/pmc02769611-57-11-18?v=Clinical+and+Laboratory+Standards+Institute
Average 90 stars, based on 1 article reviews
cgm device guideline - by Bioz Stars, 2026-08
90/100 stars
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Image Search Results


(A) Flow diagram of study design and participating patients. (B) Changes of daily insulin dose. Data of the same subject at different follow‐up time points are connected by gray lines. False discovery rate (represented as q ‐value) was calculated using repeated‐measures one‐way analysis of variance corrected by Benjamini and Hochberg method for multiple comparisons, n = 14. (C) Postprandial glucose excursions expressed as percentage of baseline during steamed bun meal test (SBMT). All data are represented as mean ± SEM, * q < 0.05 by mixed‐effects model for repeated measures corrected by Benjamini and Hochberg method, n = 9–12. (D–H) Changes of glycemic variability (GV) indices at 1 week (T1W) calculated using continuous glucose monitor (CGM) data: (D) MAGE, (E) SDBG, (F) BG > 11.1 mmol/L, (G) LAGE, and (H) MBG. † p < .05 by paired t test (two‐tailed), n = 14. (I–J) Changes of GV indices at T1W, 1 month (T1M), and 3 months (T3M) calculated using self‐monitoring of blood glucose data: (I) TIR and (J) hypoglycemic episodes. $ q < 0.05 as stated in (B); # q < 0.05 by repeated‐measures Friedman test corrected by Benjamini and Hochberg method, n = 14. (K) Representative CGM 24‐h glucose profiles demonstrating improved glycemic stability in two patients by WMT. Values of some GV indices were the same for different participants. Thus, both points and connecting lines overlapped with each other, exhibiting fewer than 14 points. LAGE, largest amplitude of glycemic excursions; MAGE, mean amplitude of glycemic excursion; MBG, mean blood glucose; SDBG, SD of blood glucose; TIR, time in range; WMT, washed microbiota transplantation.

Journal: Journal of Diabetes

Article Title: Washed microbiota transplantation reduces glycemic variability in unstable diabetes

doi: 10.1111/1753-0407.13485

Figure Lengend Snippet: (A) Flow diagram of study design and participating patients. (B) Changes of daily insulin dose. Data of the same subject at different follow‐up time points are connected by gray lines. False discovery rate (represented as q ‐value) was calculated using repeated‐measures one‐way analysis of variance corrected by Benjamini and Hochberg method for multiple comparisons, n = 14. (C) Postprandial glucose excursions expressed as percentage of baseline during steamed bun meal test (SBMT). All data are represented as mean ± SEM, * q < 0.05 by mixed‐effects model for repeated measures corrected by Benjamini and Hochberg method, n = 9–12. (D–H) Changes of glycemic variability (GV) indices at 1 week (T1W) calculated using continuous glucose monitor (CGM) data: (D) MAGE, (E) SDBG, (F) BG > 11.1 mmol/L, (G) LAGE, and (H) MBG. † p < .05 by paired t test (two‐tailed), n = 14. (I–J) Changes of GV indices at T1W, 1 month (T1M), and 3 months (T3M) calculated using self‐monitoring of blood glucose data: (I) TIR and (J) hypoglycemic episodes. $ q < 0.05 as stated in (B); # q < 0.05 by repeated‐measures Friedman test corrected by Benjamini and Hochberg method, n = 14. (K) Representative CGM 24‐h glucose profiles demonstrating improved glycemic stability in two patients by WMT. Values of some GV indices were the same for different participants. Thus, both points and connecting lines overlapped with each other, exhibiting fewer than 14 points. LAGE, largest amplitude of glycemic excursions; MAGE, mean amplitude of glycemic excursion; MBG, mean blood glucose; SDBG, SD of blood glucose; TIR, time in range; WMT, washed microbiota transplantation.

Article Snippet: Three days before WMT, patients were implanted with a continuous glucose monitor (CGM) device (MeiQi Medical Instruments Co., Ltd., Huzhou, China).

Techniques: Two Tailed Test, Transplantation Assay

Washed microbiota transplantation (WMT) alters profiles of serum metabolites. (A) Heatmap showing changes of serum metabolites determined by non‐targeted metabolomics, n = 11–14. (B) Heatmap of Spearman's correlation coefficients between serum metabolites and glycemic variability (GV) indices. (C) The 8 positively correlated metabolites between fecal and serum compartments. Color range varies from light red (weaker correlation) to dark red (stronger correlation). Statistical methods were the same as stated in Figure . AUC, area under the curve; BG, blood glucose; CGM, continuous glucose monitor; CV, coefficient of variation; HbA1c, glycated hemoglobin; LAGE, largest amplitude of glycemic excursions; MBG, mean blood glucose; PPGE, postprandial glucose excursion; SBMT, steamed bun meal test; SMBG, self‐monitoring of blood glucose; TIR, time in range.

Journal: Journal of Diabetes

Article Title: Washed microbiota transplantation reduces glycemic variability in unstable diabetes

doi: 10.1111/1753-0407.13485

Figure Lengend Snippet: Washed microbiota transplantation (WMT) alters profiles of serum metabolites. (A) Heatmap showing changes of serum metabolites determined by non‐targeted metabolomics, n = 11–14. (B) Heatmap of Spearman's correlation coefficients between serum metabolites and glycemic variability (GV) indices. (C) The 8 positively correlated metabolites between fecal and serum compartments. Color range varies from light red (weaker correlation) to dark red (stronger correlation). Statistical methods were the same as stated in Figure . AUC, area under the curve; BG, blood glucose; CGM, continuous glucose monitor; CV, coefficient of variation; HbA1c, glycated hemoglobin; LAGE, largest amplitude of glycemic excursions; MBG, mean blood glucose; PPGE, postprandial glucose excursion; SBMT, steamed bun meal test; SMBG, self‐monitoring of blood glucose; TIR, time in range.

Article Snippet: Three days before WMT, patients were implanted with a continuous glucose monitor (CGM) device (MeiQi Medical Instruments Co., Ltd., Huzhou, China).

Techniques: Transplantation Assay