continuous glucose monitoring (cgm) app 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/continuous+glucose+monitoring+(cgm)+app/continuous+glucose+monitor++cgm++device/pmc10859319-55-9-14
Average 90 stars, based on 1 article reviews
continuous glucose monitor (cgm) device - by Bioz Stars, 2026-08
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inpatient continuous glucose monitoring (cgm)  (Diatec Inc)
90
Diatec Inc inpatient continuous glucose monitoring (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.
Inpatient Continuous Glucose Monitoring (Cgm), supplied by Diatec 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/continuous+glucose+monitoring+(cgm)+app/inpatient+continuous+glucose+monitoring++cgm+/pm39887698-1-16-6
Average 90 stars, based on 1 article reviews
inpatient continuous glucose monitoring (cgm) - by Bioz Stars, 2026-08
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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/continuous+glucose+monitoring+(cgm)+app/implantable+continuous+glucose+monitoring+device+eversense+continuous+glucose+monitoring++cgm++system/pmc07304103-218-6-18
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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-glucose binding protein-continuous glucose monitor sensorsbd-gbp-cgm  (Becton Dickinson)
90
Becton Dickinson -glucose binding protein-continuous glucose monitor sensorsbd-gbp-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.
Glucose Binding Protein Continuous Glucose Monitor Sensorsbd Gbp Cgm, supplied by Becton Dickinson, 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/continuous+glucose+monitoring+(cgm)+app/+glucose+binding+protein+continuous+glucose+monitor+sensorsbd+gbp+cgm/nct01645696-6-1-6
Average 90 stars, based on 1 article reviews
-glucose binding protein-continuous glucose monitor sensorsbd-gbp-cgm - by Bioz Stars, 2026-08
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amperometric continuous glucose monitor (cgm) sensors  (ARKRAY Inc)
90
ARKRAY Inc amperometric continuous glucose monitor (cgm) sensors
(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.
Amperometric Continuous Glucose Monitor (Cgm) Sensors, supplied by ARKRAY 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/continuous+glucose+monitoring+(cgm)+app/amperometric+continuous+glucose+monitor++cgm++sensors/pmc04773984-1905-21-15
Average 90 stars, based on 1 article reviews
amperometric continuous glucose monitor (cgm) sensors - by Bioz Stars, 2026-08
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cgm continuous glucose monitoring  (YSI Inc)
90
YSI Inc cgm continuous glucose monitoring
Glucose levels during 60 min of moderate-intensity “spin class” cycling using CGM and <t>SMBG.</t> Glucose values are shown for five subjects with type 1 diabetes using CGM (continuous line) and capillary glucose (triangles). Continuous glucose monitoring values are also shown for one nondiabetes control during exercise. Values for CGM values in the subjects with diabetes are shown in means and standard errors of the mean. T1DM, type 1 diabetes. Reprinted by permission of Diabetes Technology & Therapeutics.39
Cgm Continuous Glucose Monitoring, supplied by YSI 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/continuous+glucose+monitoring+(cgm)+app/cgm+continuous+glucose+monitoring/pmc02769951-276-0-17
Average 90 stars, based on 1 article reviews
cgm continuous glucose monitoring - by Bioz Stars, 2026-08
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cgm continuous glucose monitor  (Clinical and Laboratory Standards Institute)
90
Clinical and Laboratory Standards Institute cgm continuous glucose monitor
Glucose levels during 60 min of moderate-intensity “spin class” cycling using CGM and <t>SMBG.</t> Glucose values are shown for five subjects with type 1 diabetes using CGM (continuous line) and capillary glucose (triangles). Continuous glucose monitoring values are also shown for one nondiabetes control during exercise. Values for CGM values in the subjects with diabetes are shown in means and standard errors of the mean. T1DM, type 1 diabetes. Reprinted by permission of Diabetes Technology & Therapeutics.39
Cgm Continuous Glucose Monitor, 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/continuous+glucose+monitoring+(cgm)+app/cgm+continuous+glucose+monitor/pmc02769611-92-0-5
Average 90 stars, based on 1 article reviews
cgm continuous glucose monitor - by Bioz Stars, 2026-08
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continuous glucose monitoring (cgm)  (CoMac Analytics)
90
CoMac Analytics continuous glucose monitoring (cgm)
Glucose levels during 60 min of moderate-intensity “spin class” cycling using CGM and <t>SMBG.</t> Glucose values are shown for five subjects with type 1 diabetes using CGM (continuous line) and capillary glucose (triangles). Continuous glucose monitoring values are also shown for one nondiabetes control during exercise. Values for CGM values in the subjects with diabetes are shown in means and standard errors of the mean. T1DM, type 1 diabetes. Reprinted by permission of Diabetes Technology & Therapeutics.39
Continuous Glucose Monitoring (Cgm), supplied by CoMac Analytics, 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/continuous+glucose+monitoring+(cgm)+app/continuous+glucose+monitoring++cgm+/pmc10803680-4-49-64
Average 90 stars, based on 1 article reviews
continuous glucose monitoring (cgm) - by Bioz Stars, 2026-08
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medtronic guardian 4 continuous glucose monitoring (cgm) system  (MiniMed Inc)
90
MiniMed Inc medtronic guardian 4 continuous glucose monitoring (cgm) system
Glucose levels during 60 min of moderate-intensity “spin class” cycling using CGM and <t>SMBG.</t> Glucose values are shown for five subjects with type 1 diabetes using CGM (continuous line) and capillary glucose (triangles). Continuous glucose monitoring values are also shown for one nondiabetes control during exercise. Values for CGM values in the subjects with diabetes are shown in means and standard errors of the mean. T1DM, type 1 diabetes. Reprinted by permission of Diabetes Technology & Therapeutics.39
Medtronic Guardian 4 Continuous Glucose Monitoring (Cgm) System, supplied by MiniMed 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/continuous+glucose+monitoring+(cgm)+app/medtronic+guardian+4+continuous+glucose+monitoring++cgm++system/pm37470167-8-22-31
Average 90 stars, based on 1 article reviews
medtronic guardian 4 continuous glucose monitoring (cgm) system - by Bioz Stars, 2026-08
90/100 stars
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minimally invasive continuous glucose monitoring (cgm) systems  (MiniMed Inc)
90
MiniMed Inc minimally invasive continuous glucose monitoring (cgm) systems
Glucose levels during 60 min of moderate-intensity “spin class” cycling using CGM and <t>SMBG.</t> Glucose values are shown for five subjects with type 1 diabetes using CGM (continuous line) and capillary glucose (triangles). Continuous glucose monitoring values are also shown for one nondiabetes control during exercise. Values for CGM values in the subjects with diabetes are shown in means and standard errors of the mean. T1DM, type 1 diabetes. Reprinted by permission of Diabetes Technology & Therapeutics.39
Minimally Invasive Continuous Glucose Monitoring (Cgm) Systems, supplied by MiniMed 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/continuous+glucose+monitoring+(cgm)+app/minimally+invasive+continuous+glucose+monitoring++cgm++systems/pm40590749-43-6-13
Average 90 stars, based on 1 article reviews
minimally invasive continuous glucose monitoring (cgm) systems - by Bioz Stars, 2026-08
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continuous glucose monitoring (cgm)  (RStudio)
90
RStudio continuous glucose monitoring (cgm)
The framework diagram illustrates the comprehensive screening methodology employed in the evaluation of research literature pertinent to the clinical practice of Continuous Glucose Monitoring <t>(CGM)</t> <t>in</t> <t>Diabetes</t> Mellitus from 2012-2022.
Continuous Glucose Monitoring (Cgm), supplied by RStudio, 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/continuous+glucose+monitoring+(cgm)+app/continuous+glucose+monitoring++cgm+/pmc10556737-102-31-40
Average 90 stars, based on 1 article reviews
continuous glucose monitoring (cgm) - by Bioz Stars, 2026-08
90/100 stars
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continuous glucose monitors (cgm)  (TaiDoc Technology)
90
TaiDoc Technology continuous glucose monitors (cgm)
The framework diagram illustrates the comprehensive screening methodology employed in the evaluation of research literature pertinent to the clinical practice of Continuous Glucose Monitoring <t>(CGM)</t> <t>in</t> <t>Diabetes</t> Mellitus from 2012-2022.
Continuous Glucose Monitors (Cgm), supplied by TaiDoc Technology, 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/continuous+glucose+monitoring+(cgm)+app/continuous+glucose+monitors++cgm+/pmc10397506-121-4-21
Average 90 stars, based on 1 article reviews
continuous glucose monitors (cgm) - by Bioz Stars, 2026-08
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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

Glucose levels during 60 min of moderate-intensity “spin class” cycling using CGM and SMBG. Glucose values are shown for five subjects with type 1 diabetes using CGM (continuous line) and capillary glucose (triangles). Continuous glucose monitoring values are also shown for one nondiabetes control during exercise. Values for CGM values in the subjects with diabetes are shown in means and standard errors of the mean. T1DM, type 1 diabetes. Reprinted by permission of Diabetes Technology & Therapeutics.39

Journal: Journal of diabetes science and technology (Online)

Article Title: Exercise and Glucose Metabolism in Persons with Diabetes Mellitus: Perspectives on the Role for Continuous Glucose Monitoring

doi:

Figure Lengend Snippet: Glucose levels during 60 min of moderate-intensity “spin class” cycling using CGM and SMBG. Glucose values are shown for five subjects with type 1 diabetes using CGM (continuous line) and capillary glucose (triangles). Continuous glucose monitoring values are also shown for one nondiabetes control during exercise. Values for CGM values in the subjects with diabetes are shown in means and standard errors of the mean. T1DM, type 1 diabetes. Reprinted by permission of Diabetes Technology & Therapeutics.39

Article Snippet: CGM continuous glucose monitoring HbA1c hemoglobin A1c RCT randomized control trial SMBG self-monitoring of blood glucose YSI Yellow Springs Instrument

Techniques: Control

The framework diagram illustrates the comprehensive screening methodology employed in the evaluation of research literature pertinent to the clinical practice of Continuous Glucose Monitoring (CGM) in Diabetes Mellitus from 2012-2022.

Journal: Frontiers in Endocrinology

Article Title: A systematic bibliometric analysis on the clinical practice of CGM in diabetes mellitus from 2012 to 2022

doi: 10.3389/fendo.2023.1229494

Figure Lengend Snippet: The framework diagram illustrates the comprehensive screening methodology employed in the evaluation of research literature pertinent to the clinical practice of Continuous Glucose Monitoring (CGM) in Diabetes Mellitus from 2012-2022.

Article Snippet: In this review, a comprehensive analysis of 3024 literature sources was conducted, and the resulting search data was used to plot the trends in studies related to the application of continuous glucose monitoring (CGM) to clinical practice in diabetes using R studio.

Techniques:

Trends in the Number of Publications on the Clinical Practice of CGM in Diabetes Mellitus from 2012 to 2022.

Journal: Frontiers in Endocrinology

Article Title: A systematic bibliometric analysis on the clinical practice of CGM in diabetes mellitus from 2012 to 2022

doi: 10.3389/fendo.2023.1229494

Figure Lengend Snippet: Trends in the Number of Publications on the Clinical Practice of CGM in Diabetes Mellitus from 2012 to 2022.

Article Snippet: In this review, a comprehensive analysis of 3024 literature sources was conducted, and the resulting search data was used to plot the trends in studies related to the application of continuous glucose monitoring (CGM) to clinical practice in diabetes using R studio.

Techniques:

(A) An Analysis of International Cooperation Between Diverse Countries. The correlation among distinct color blocks signifies the bilateral collaborative association between the two countries. (B) Cooperation of Countries or Regions that Contributed to Publications on the Clinical Practice of CGM in Diabetes Mellitus from 2012 to 2022. The size of the purple ring area serves as an indicator of the scope of influence of the regional articles and is equivalent to their centrality.

Journal: Frontiers in Endocrinology

Article Title: A systematic bibliometric analysis on the clinical practice of CGM in diabetes mellitus from 2012 to 2022

doi: 10.3389/fendo.2023.1229494

Figure Lengend Snippet: (A) An Analysis of International Cooperation Between Diverse Countries. The correlation among distinct color blocks signifies the bilateral collaborative association between the two countries. (B) Cooperation of Countries or Regions that Contributed to Publications on the Clinical Practice of CGM in Diabetes Mellitus from 2012 to 2022. The size of the purple ring area serves as an indicator of the scope of influence of the regional articles and is equivalent to their centrality.

Article Snippet: In this review, a comprehensive analysis of 3024 literature sources was conducted, and the resulting search data was used to plot the trends in studies related to the application of continuous glucose monitoring (CGM) to clinical practice in diabetes using R studio.

Techniques:

Top 10 countries or regions with publications on clinical practice of CGM in diabetes mellitus from 2012 to 2022.

Journal: Frontiers in Endocrinology

Article Title: A systematic bibliometric analysis on the clinical practice of CGM in diabetes mellitus from 2012 to 2022

doi: 10.3389/fendo.2023.1229494

Figure Lengend Snippet: Top 10 countries or regions with publications on clinical practice of CGM in diabetes mellitus from 2012 to 2022.

Article Snippet: In this review, a comprehensive analysis of 3024 literature sources was conducted, and the resulting search data was used to plot the trends in studies related to the application of continuous glucose monitoring (CGM) to clinical practice in diabetes using R studio.

Techniques:

The top 10 institutions with publications on clinical practice of CGM in diabetes mellitus from 2012-2022.

Journal: Frontiers in Endocrinology

Article Title: A systematic bibliometric analysis on the clinical practice of CGM in diabetes mellitus from 2012 to 2022

doi: 10.3389/fendo.2023.1229494

Figure Lengend Snippet: The top 10 institutions with publications on clinical practice of CGM in diabetes mellitus from 2012-2022.

Article Snippet: In this review, a comprehensive analysis of 3024 literature sources was conducted, and the resulting search data was used to plot the trends in studies related to the application of continuous glucose monitoring (CGM) to clinical practice in diabetes using R studio.

Techniques:

(A) Collaborative Network Analysis by CiteSpace Amongst Institutions Pertaining to the Clinical Practice of CGM in Diabetes Mellitus from 2012 to 2022. Each node with colorful annual rings represents an institution, and the size of each node represents its relative quantity of research output. (B) The overlay visualization map of Institution co-authorship analysis conducted by VOSviewer.

Journal: Frontiers in Endocrinology

Article Title: A systematic bibliometric analysis on the clinical practice of CGM in diabetes mellitus from 2012 to 2022

doi: 10.3389/fendo.2023.1229494

Figure Lengend Snippet: (A) Collaborative Network Analysis by CiteSpace Amongst Institutions Pertaining to the Clinical Practice of CGM in Diabetes Mellitus from 2012 to 2022. Each node with colorful annual rings represents an institution, and the size of each node represents its relative quantity of research output. (B) The overlay visualization map of Institution co-authorship analysis conducted by VOSviewer.

Article Snippet: In this review, a comprehensive analysis of 3024 literature sources was conducted, and the resulting search data was used to plot the trends in studies related to the application of continuous glucose monitoring (CGM) to clinical practice in diabetes using R studio.

Techniques:

The Top 10 citing and cited journals of publications on the clinical practice of CGM in diabetes mellitus from 2012 to 2022.

Journal: Frontiers in Endocrinology

Article Title: A systematic bibliometric analysis on the clinical practice of CGM in diabetes mellitus from 2012 to 2022

doi: 10.3389/fendo.2023.1229494

Figure Lengend Snippet: The Top 10 citing and cited journals of publications on the clinical practice of CGM in diabetes mellitus from 2012 to 2022.

Article Snippet: In this review, a comprehensive analysis of 3024 literature sources was conducted, and the resulting search data was used to plot the trends in studies related to the application of continuous glucose monitoring (CGM) to clinical practice in diabetes using R studio.

Techniques:

The Dual-map Overlay of Journals on the Clinical Practice of CGM in Diabetes Mellitus. The green path at the top suggests that research literature from MEDICINE, MEDICAL, CLINICAL area may be utilized to support the results and findings in the field of MOLECULES, BIOLOGY, GENETICS research. The findings from research literature in the MEDCINE, MEDICAL, CLINICAL area may be utilized to support the results from research conducted in the HEALTH, NURSING, MEDICINE area.

Journal: Frontiers in Endocrinology

Article Title: A systematic bibliometric analysis on the clinical practice of CGM in diabetes mellitus from 2012 to 2022

doi: 10.3389/fendo.2023.1229494

Figure Lengend Snippet: The Dual-map Overlay of Journals on the Clinical Practice of CGM in Diabetes Mellitus. The green path at the top suggests that research literature from MEDICINE, MEDICAL, CLINICAL area may be utilized to support the results and findings in the field of MOLECULES, BIOLOGY, GENETICS research. The findings from research literature in the MEDCINE, MEDICAL, CLINICAL area may be utilized to support the results from research conducted in the HEALTH, NURSING, MEDICINE area.

Article Snippet: In this review, a comprehensive analysis of 3024 literature sources was conducted, and the resulting search data was used to plot the trends in studies related to the application of continuous glucose monitoring (CGM) to clinical practice in diabetes using R studio.

Techniques:

(A) Co-occurrence Keywords Network and Density Visualization on the Clinical Practice of CGM in Diabetes Mellitus from 2012-2022. (B) CiteSpace visualization timeline view of keywords clustering analysis related to the clinical practice of CGM in diabetes.

Journal: Frontiers in Endocrinology

Article Title: A systematic bibliometric analysis on the clinical practice of CGM in diabetes mellitus from 2012 to 2022

doi: 10.3389/fendo.2023.1229494

Figure Lengend Snippet: (A) Co-occurrence Keywords Network and Density Visualization on the Clinical Practice of CGM in Diabetes Mellitus from 2012-2022. (B) CiteSpace visualization timeline view of keywords clustering analysis related to the clinical practice of CGM in diabetes.

Article Snippet: In this review, a comprehensive analysis of 3024 literature sources was conducted, and the resulting search data was used to plot the trends in studies related to the application of continuous glucose monitoring (CGM) to clinical practice in diabetes using R studio.

Techniques:

Top 10 keywords related to the clinical practice of CGM in diabetes mellitus from 2012-2022.

Journal: Frontiers in Endocrinology

Article Title: A systematic bibliometric analysis on the clinical practice of CGM in diabetes mellitus from 2012 to 2022

doi: 10.3389/fendo.2023.1229494

Figure Lengend Snippet: Top 10 keywords related to the clinical practice of CGM in diabetes mellitus from 2012-2022.

Article Snippet: In this review, a comprehensive analysis of 3024 literature sources was conducted, and the resulting search data was used to plot the trends in studies related to the application of continuous glucose monitoring (CGM) to clinical practice in diabetes using R studio.

Techniques: Control

Keywords with the Strongest Citation Bursts for Publications on the Clinical Practice of CGM in Diabetes Mellitus Diabetic from 2012- 2022.

Journal: Frontiers in Endocrinology

Article Title: A systematic bibliometric analysis on the clinical practice of CGM in diabetes mellitus from 2012 to 2022

doi: 10.3389/fendo.2023.1229494

Figure Lengend Snippet: Keywords with the Strongest Citation Bursts for Publications on the Clinical Practice of CGM in Diabetes Mellitus Diabetic from 2012- 2022.

Article Snippet: In this review, a comprehensive analysis of 3024 literature sources was conducted, and the resulting search data was used to plot the trends in studies related to the application of continuous glucose monitoring (CGM) to clinical practice in diabetes using R studio.

Techniques:

The Timeline View of Keyword Clustering Analysis Related to the Clinical Practice of CGM in Diabetes Mellitus was Visualized Using CiteSpace. The clusters formed by the keywords were represented by different colored horizontal lines, with labels on the right. The nodes positioned on these horizontal lines depicted the keywords themselves, while the position of the nodes on the horizontal lines indicated the year of the literature in which the keywords first appeared, thus forming a timeline representing the evolution of the keyword clusters.

Journal: Frontiers in Endocrinology

Article Title: A systematic bibliometric analysis on the clinical practice of CGM in diabetes mellitus from 2012 to 2022

doi: 10.3389/fendo.2023.1229494

Figure Lengend Snippet: The Timeline View of Keyword Clustering Analysis Related to the Clinical Practice of CGM in Diabetes Mellitus was Visualized Using CiteSpace. The clusters formed by the keywords were represented by different colored horizontal lines, with labels on the right. The nodes positioned on these horizontal lines depicted the keywords themselves, while the position of the nodes on the horizontal lines indicated the year of the literature in which the keywords first appeared, thus forming a timeline representing the evolution of the keyword clusters.

Article Snippet: In this review, a comprehensive analysis of 3024 literature sources was conducted, and the resulting search data was used to plot the trends in studies related to the application of continuous glucose monitoring (CGM) to clinical practice in diabetes using R studio.

Techniques:

The Top 10 references of publications on the clinical practice of CGM in diabetes mellitus from 2012 to 2022.

Journal: Frontiers in Endocrinology

Article Title: A systematic bibliometric analysis on the clinical practice of CGM in diabetes mellitus from 2012 to 2022

doi: 10.3389/fendo.2023.1229494

Figure Lengend Snippet: The Top 10 references of publications on the clinical practice of CGM in diabetes mellitus from 2012 to 2022.

Article Snippet: In this review, a comprehensive analysis of 3024 literature sources was conducted, and the resulting search data was used to plot the trends in studies related to the application of continuous glucose monitoring (CGM) to clinical practice in diabetes using R studio.

Techniques: Control, Biomarker Discovery, Clinical Proteomics