CADTH Health Technology Review

Intermittently Scanned and Real-Time Continuous Glucose Monitoring for People With Diabetes

Rapid Review

Authors: Keeley Farrell, Hannah Loshak

Abbreviations

A1C

hemoglobin A1C

CGM

continuous glucose monitoring

isCGM

intermittently scanned continuous glucose monitoring

RCT

randomized controlled trial

rtCGM

real-time continuous glucose monitoring

Key Messages

Context and Policy Issues

Diabetes is a chronic condition in which the body is not able to produce enough insulin and/or properly use insulin.1 The body needs insulin to use sugar as an energy source.1 There are 3 main types of diabetes including type 1 diabetes, type 2 diabetes, and gestational diabetes. Type 1 diabetes is an autoimmune condition in which the insulin-producing beta cells of the pancreas are destroyed by the immune system.2 Type 1 diabetes is often diagnosed in childhood and common presenting symptoms include frequent urination, excessive thirst, weight loss, and diabetic ketoacidosis (a potentially life-threatening complication of diabetes in which acids called ketones build up to dangerous levels in the body).3,4 Type 2 diabetes is a condition that occurs when the body does not make enough insulin and/or does not respond to the insulin it makes.1 In the early stages of type 2 diabetes there may be no symptoms or only mild symptoms that can go unnoticed.5 When symptoms are present, they can include frequent urination, excessive thirst and hunger, fatigue, blurry vision, slow-healing wounds and tingling, pain, or numbness in the hands and/or feet.5 Gestational diabetes is a form of diabetes that develops during pregnancy and resolves after delivery.1 Gestational diabetes affects approximately 4% of people who are pregnant.1 There are approximately 3 million people in Canada living with diagnosed diabetes.6 This corresponds to 1 in 300 children and youth and 1 in 10 adults.6 In Canada, it is estimated that approximately 90% of adults living with diabetes have type 2 diabetes.6

All people living with type 1 diabetes and some people with type 2 diabetes or gestational diabetes need to take insulin to keep blood glucose levels within the target range.1,7 There are many ways insulin therapy can be delivered including multiple daily injections (MDI) and insulin pumps.7 Blood glucose monitoring is used in combination with insulin therapy to adjust insulin doses and maintain glucose control.8 The traditional method for blood glucose monitoring is self-monitoring of blood glucose using a glucometer.9 Self-monitoring of blood glucose requires a fingerstick to take a blood sample which can be painful and time-consuming.10 Some people living with diabetes find it difficult to practice self-monitoring of blood glucose at the recommended rates.8 Additionally, nocturnal or asymptomatic hypoglycemia (low blood glucose) may not be recognized through self-monitoring of blood glucose.10 Severe hypoglycemia can lead to coma or death.10 Continuous glucose monitoring (CGM) systems continuously measure the glucose concentration in the interstitial fluid and transfer the data to a receiver that displays the results.10 These devices represent another blood glucose monitoring option for people living with diabetes.

CGM systems typically consist of a sensor inserted into the deepest layer of the skin, a transmitter that is attached to the sensor, and a receiver or smartphone that displays the results.10 There are several types of CGM systems, including isCGM (also known as flash glucose monitoring) and rtCGM. rtCGM systems (e.g., Dexcom G6, Guardian Connect) measure the glucose values and automatically display a recent value.10 isCGM systems (e.g., FreeStyle Libre) measure glucose levels every minute and store 1 value every 15 minutes.10 isCGM systems need to be actively scanned to display glucose information.10 Only the most recent 8 hours of data are retained in isCGM systems and therefore the person using the system must scan the sensor at least every 8 hours to avoid data gaps.11 rtCGM systems have the capability for alerts and alarms for current and/or impending glycemic events such as hyperglycemia (high blood glucose) or hypoglycemia.11 Some of the older rtCGM systems (e.g., Dexcom G5) require daily calibration with self-monitoring of blood glucose whereas the newer devices (e.g., Dexcom G6) do not.11 isCGM systems do not require calibration with self-monitoring of blood glucose.11 Typical sensor application sites are the abdomen for rtCGM and the upper arm for isCGM.10 Due to the differences between the rtCGM and isCGM systems, evidence of the comparative effectiveness of isCGM versus rtCGM in people living with diabetes could help aid decision-making around the use of these systems.

The aim of this report is to summarize the evidence regarding the comparative clinical effectiveness of monitoring glycemia with isCGM versus rtCGM in people living with diabetes.

Research Question

What is the comparative clinical effectiveness of monitoring glycemia with intermittently scanned continuous glucose monitoring versus real-time continuous glucose monitoring in people with diabetes?

Methods

Literature Search Methods

A limited literature search was conducted by an information specialist on key resources including MEDLINE and Embase via OVID, the Cochrane Database of Systematic Reviews, the International HTA Database, the websites of Canadian and major international health technology agencies, as well as a focused internet search. The search strategy comprised both controlled vocabulary, such as the National Library of Medicine’s MeSH (Medical Subject Headings), and keywords. The main search concepts were intermittently scanned continuous glucose monitoring and real-time continuous glucose monitoring. No filters were applied to limit the retrieval by study type. Comments, newspaper articles, editorials, and letters were excluded. Where possible, retrieval was limited to the human population. The search was completed on May 13, 2022 and limited to English-language documents published since January 1, 2017.

Selection Criteria and Methods

One reviewer screened citations and selected studies. In the first level of screening, titles and abstracts were reviewed and potentially relevant articles were retrieved and assessed for inclusion. The final selection of full-text articles was based on the inclusion criteria presented in Table 1.

Table 1: Selection Criteria

Criteria

Description

Population

People with diabetes (e.g., type 1, type 2)

Intervention

Intermittently scanned continuous glucose monitoring

Comparator

Real-time continuous glucose monitoring

Outcomes

Clinical effectiveness (e.g., A1C, glucose management indicator [e.g., proportion of participants with a value ≤ 7.0%], quality of life, time spent in target glucose ranges [e.g., between 3.9 mmol/L and 10.0 mmol/L], time spent below target glucose ranges [e.g., < 3.9 mmol/L], time spent above target glucose ranges [e.g., > 10.0 mmol/L], glycemic variability [e.g., proportion of participants with a value ≤ 36%], safety [e.g., hypoglycemia events, device-related adverse events])

Study designs

Health technology assessments, systematic reviews, randomized controlled trials, non-randomized studies

Exclusion Criteria

Articles were excluded if they did not meet the selection criteria outlined in Table 1, they were duplicate publications, or were published before 2017. Systematic reviews in which all relevant studies were captured in other more recent or more comprehensive systematic reviews were excluded. Primary studies retrieved by the search were excluded if they were captured in 1 or more included systematic reviews. Single-arm before-after studies were excluded.

Critical Appraisal of Individual Studies

The included publications were critically appraised by 1 reviewer using the following tools as a guide: A MeaSurement Tool to Assess systematic Reviews 2 (AMSTAR 2)12 for systematic reviews, and the Downs and Black checklist13 for randomized and non-randomized studies. Summary scores were not calculated for the included studies; rather, the strengths and limitations of each included publication were described narratively.

Summary of Evidence

Quantity of Research Available

A total of 459 citations were identified in the literature search. Following screening of titles and abstracts, 415 citations were excluded and 42 potentially relevant reports from the electronic search were retrieved for full-text review. Two potentially relevant publications were retrieved from the grey literature search for full-text review. Of these potentially relevant articles, 36 publications were excluded for various reasons, and 8 publications met the inclusion criteria and were included in this report. These comprised 1 systematic review, 2 randomized controlled trials (RCTs), and 5 non-randomized studies. Appendix 1 presents the PRISMA14 flow chart of the study selection.

Additional references of potential interest are provided in Appendix 5.

Summary of Study Characteristics

In total, 1 systematic review,15 2 RCTs16,17 and 5 non-randomized studies18-22 were included in this report.

The systematic review15 had broader inclusion criteria than the present report. Specifically, it included studies that evaluated isCGM versus a range of comparators. The systematic review included 1 RCT and its extension study that evaluated a comparison of interest (i.e., isCGM versus rtCGM). Only the characteristics and results of the relevant study will be described in this report.

Additional details regarding the characteristics of included publications are provided in Appendix 2.

Study Design

The systematic review by Cowart et al. (2020)15 included 1 RCT and its extension study that are relevant to the present report. The search time frame was RCTs published up to and including November 8, 2019.

Both of the included RCTs were open-label. The Visser et al. (2021)16 RCT was a multi-centre study and the Haskova et al. (2020)17 RCT was a single-centre study.

Three of the included non-randomized studies were retrospective cohort studies.18,19,22 The other 2 non-randomized studies were cross-sectional studies.20,21

Country of Origin

The systematic review by Cowart et al. (2020)15 was authored by researchers in the US.

One of the RCTs was conducted in Belgium16 and the other RCT was conducted in the Czech Republic.17 The retrospective cohort studies were conducted in Japan,18 the UK,19 and Sweden.22 One of the cross-sectional studies was conducted in Italy20 and the other cross-sectional study was conducted in Germany and Austria.21

Patient Population

Participants in the relevant RCT and extension study included in the systematic review were adults with type 1 diabetes with impaired awareness of hypoglycemia or severe hypoglycemia.15 There were 20 participants in the isCGM group and 20 participants in the rtCGM group.15

The RCT by Visser et al. (2021)16 included 254 people (127 in the rtCGM group, 127 participants in the isCGM group) with type 1 diabetes. The mean age of participants was 42.8 years in the rtCGM group and 43 years in the isCGM group.16 The mean baseline A1C was 7.4% in both groups.16 The RCT by Haskova et al. (2020)17 included 60 people (30 in the rtCGM group, 30 in the isCGM group) with type 1 diabetes. The mean age of participants was 39.6 years in the rtCGM group and 37.8 years in the isCGM group.17 The mean baseline A1C was 7.7% in the rtCGM group and 8.0% in the isCGM group.17

The retrospective cohort study by Urakami et al. (2022)18 included 112 children and adolescents (36 in the rtCGM group, 76 in the isCGM group) with type 1 diabetes. The mean age of participants was 10.8 years in the rtCGM group and 11.7 years in the isCGM group.18 The retrospective cohort study by Prabhu Navis et al. (2021)19 included 269 adults (190 in the isCGM group and 79 in the rtCGM group) with type 1 diabetes. The mean age of participants was 41.4 years and the mean baseline A1C was 7.3%.19 The cross-sectional study by Cherubini et al. (2020)20 included 665 children and adolescents (325 who used isCGM and 340 who used rtCGM) with type 1 diabetes and a median age of 12 years. The cross-sectional study by Sandig et al. (2020)21 included 233 adults (185 who used isCGM, 48 who used rtCGM) with type 1 diabetes. The median age of participants was 19 years and the median baseline A1C was 7.3%.21 The retrospective cohort study by Kristensen et al. (2019)22 included 186 pregnant women (92 in the rtCGM group, 94 in the isCGM group) with type 1 diabetes. The median age of participants was 31 years in both groups.22

Interventions and Comparators

The devices used for rtCGM and isCGM were not specified in the cross-sectional study by Sandig et al. (2020).21 In all the other included studies FreeStyle Libre was the device used for isCGM.15-20,22 The device used for rtCGM was the Dexcom G6 in the RCT by Visser et al. (2021)16 and the retrospective cohort study by Prabhu Navis et al. (2021).19 The device used for rtCGM was the Dexcom G5 in the relevant RCT included in the systematic review by Cowart et al. (2020).15 The Dexcom G4 was the device used for rtCGM in the retrospective cohort studies by Urakami et al. (2022)18 and Kristensen et al. (2019).22 The Guardian Connect was the device used for rtCGM in the RCT by Haskova et al. (2020).17 In the cross-sectional study by Cherubini et al. (2020)20 multiple devices were used for rtCGM including the Dexcom G4, Dexcom G5, Dexcom G6, and Guardian Connect.

Participants in the Sandig et al. (2020)21 and Cherubini et al. (2020)20 studies were separated into 4 treatment groups based on the type of CGM used (rtCGM or isCGM) and type of insulin therapy. In the Sandig et al. (2020)21 study the insulin therapies were multiple daily injections or continuous subcutaneous insulin infusion. Results for the group of participants (n = 10) who used multiple daily injections and rtCGM were not presented because the authors stated that the sample size was too small to draw valid inferences.21 In the Cherubini et al. (2020)20 study the insulin therapies were multiple daily injections or insulin pump.

Outcomes

The systematic review and all the included primary studies assessed CGM metrics such as time in range, time below range, time above range.15-22 In the relevant RCT included in the systematic review15 and 6 of the included primary studies16-21 time in range was defined as a sensor glucose of 3.9 mmol/L to 10.0 mmol/L (70 to 80 mg/dL). In the Kristensen et al. (2019)22 study time in range was defined as sensor glucose of 3.5 mmol/L to 7.8 mmol/L. Time below range/time in hypoglycemia and time above range and time in hyperglycemia were defined using a range of glucose sensor values in the included studies. Additional CGM metrics including glycemic variability (expressed as the coefficient of variation), mean sensor glucose, and low and high blood glucose index were assessed in the studies by Haskova et al. (2020),17 Sandig et al. (2020),21 and Kristensen et al. (2019).22 High blood glucose index and low blood glucose index convert glucose values to risk scores that predict the risk of high and low blood glucose values, respectively.22 Mean amplitude of glycemic or glucose excursion was assessed in the studies by Haskova et al. (2020)17 and Kristensen et al. (2019).22 Mean amplitude of glycemic/glucose excursion summarizes glycemic variability by identifying and summarizing significant glucose highs and lows.22 The A1C was assessed in the Urakami et al. (2022)18 and Visser et al. (2021)16 studies. Estimated A1C was also assessed in the Urakami et al. (2022)18 study and was calculated using the mean glucose level on CGM.

The Kristensen et al. (2019)22 study assessed maternal and neonatal outcomes including pre-eclampsia/ pregnancy-induced hypertension, Caesarean section, preterm birth, mean birth weight, large for gestational age infant, macrosomia, 5-minute Apgar score lower than 7, shoulder dystocia, neonatal hypoglycemia, neonatal intensive care unit admission longer than 24 hours, and neonatal composite outcome.

Quality of life was assessed in both the included RCTs.16,17 In the Visser et al. (2021)16 study quality of life was evaluated using the Diabetes Treatment Satisfaction Questionnaire. The study also assessed hypoglycemia fear using the Hypoglycemia Fear Survey version II worry subscale.16 In the Haskova et al. (2020)17 study quality of life was evaluated using the WHO Quality of Life-BREF assessment.

Adverse events were assessed in the Urakami et al. (2022),18 Visser et al. (2021),16 and Haskova et al. (2020)17 studies.

Summary of Critical Appraisal

Additional details regarding the strengths and limitations of included publications are provided in Appendix 3.

Systematic Review

The systematic review by Cowart et al. (2020)15 had a clear research objective. The inclusion criteria included the elements of population, intervention, and outcomes; however, eligible comparators were not specified. The review authors did not state whether the review methods were established before conducting the review. This has the potential to introduce bias if the methods were adjusted after the review had begun. The literature search was conducted in multiple databases and a trial registry, and the full search strategy was provided. Providing details on the search strategy increases its reproducibility. The authors did not provide a list of the excluded studies however, they did provide the reasons for exclusion. Study selection was performed independently by 2 authors, reducing the risk of bias in this domain. The authors do not state whether data extraction was performed in duplicate. Performing data extraction in duplicate reduces the likelihood of inconsistencies. The populations, interventions, and comparators of the included primary studies were described in adequate detail; however, the countries the included studies were conducted in were not specified. The risk of bias of the included primary studies was assessed using appropriate methods. The sources of funding for the individual studies included in the review were not specified. The authors did not receive funding for the review and stated that they had no potential conflicts of interest.15

Primary Clinical Studies

The study objective, patient characteristics, interventions, and main findings were clearly described in both RCTs16,17 and 4 of the non-randomized studies.18-20,22 In the Sandig et al. (2020)21 study the objective was clearly described; however, other details of the study were lacking. The inclusion and exclusion criteria for participants were not specified and the specific devices used for rtCGM and isCGM were not reported.21 Additionally, the adjusted comparisons between treatment groups were only reported graphically and therefore, exact values could not be ascertained.21 The main outcome measures used were valid and reliable for all the studies.16-22 Commonly known adverse events were reported in both RCTs16,17 and 1 of the non-randomized studies.18 The other 4 non-randomized studies19-22 did not report commonly known adverse events (e.g., severe hypoglycemia, diabetic ketoacidosis, skin reactions). In all the studies participants in different intervention groups were recruited from the same population.16-22 Both the RCTs16,17 were open-label, and patients and investigators were not blind to group allocation. Participants were not randomized to intervention groups and participants and investigators were not blind to group allocation in all the non-randomized studies.18-22 Objective outcomes such as CGM metrics are unlikely to be influenced by blinding; however, subjective outcomes such as quality of life could be at risk of performance bias or measurement bias. Randomization aims to balance the distribution of known and unknown confounders between treatment groups. In both the Cherubini et al. (2020)20 and Sandig et al. (2020)21 studies the main outcomes were adjusted for specific baseline characteristics. In the 5 other studies potential confounders were not discussed or adjusted for.16-19 In the Visser et al. (2021)16 RCT the key secondary outcomes were adjusted for multiplicity; however, no adjustment was made for the other outcomes. No adjustments were made for multiplicity in the other 6 studies.17-22 Adjusting for multiplicity is important for studies that assess multiple outcomes due to the potential inflation of the type I error rate. The authors of the Urakami et al. (2022)18 study reported their potential conflicts of interest however, they did not report whether they received any funding for the study. The other 6 studies reported their funding sources and potential conflicts of interest.16,17,19-22

Summary of Findings

Appendix 4 presents the main study findings.

Clinical Effectiveness of rtCGM Versus isCGM

Evidence regarding the clinical effectiveness of rtCGM versus isCGM for people with type 1 diabetes was available from 1 systematic review,15 2 RCTs16,17 and 5 non-randomized studies.18-22

Time in Range

In both RCTs16,17 and 1 cross-sectional study21 there was a statistically significant difference in time in range (3.9 mmol/L to 10.0 mmol/L) in favour of rtCGM versus isCGM in adults with type 1 diabetes. In the retrospective cohort study by Urakami et al. (2022) there was a statistically significant difference in time in range (3.9 mmol/L to 10.0 mmol/L) in favour of rtCGM versus isCGM in children and adolescents with type 1 diabetes. In the cross-sectional study by Cherubini et al. (2020)20 children and adolescents receiving treatment with an insulin pump and rtCGM had a statistically significantly higher median time in range (3.9 mmol/L to 10.0 mmol/L) than those receiving treatment with multiple daily injections and rtCGM or either insulin therapy and isCGM. There were no significant differences for time in range (3.9 mmol/L to 10.0 mmol/L) between treatment groups in the systematic review15 (1 RCT) or the retrospective cohort study by Prabhu Navis et al. (2021).19 There was no significant difference in time in range (3.5 mmol/L to 7.8 mmol/L) between treatment groups in the retrospective cohort study by Kristensen et al. (2019).22

Time Below Range or Time in Hypoglycemia

In both RCTs16,17 there was a statistically significant difference in time below range (< 3.0 mmol/L) in favour of rtCGM versus isCGM in adults with type 1 diabetes. In 1 RCT17 and 1 retrospective cohort study19 there was a statistically significant difference in time below range (< 3.9 mmol/L) in favour of rtCGM versus isCGM in adults with type 1 diabetes. In the systematic review15 (1 RCT) there was a statistically significant difference in time in hypoglycemia (< 3.3 mmol/L) in favour of the rtCGM group versus isCGM group in adults with type 1 diabetes. Results from the retrospective cohort study by Kristensen et al. (2019)22 suggested there was a statistically significant difference in time in hypoglycemia (< 3.5 mmol/L) in favour of rtCGM versus isCGM in pregnant women with type 1 diabetes. Results from 2 non-randomized studies18,20 suggested there was a statistically significant difference in time below range (< 3.9 mmol/L) in favour of children and adolescents with type 1 diabetes using rtCGM versus isCGM. Results from the cross-sectional study by Sandig et al. (2020)21 suggested there was no significant difference in time below range (< 3.9 mmol/L) between groups.

Time Above Range or Time in Hyperglycemia

In the cross-sectional study by Sandig et al. (2020)21 there was a statistically significant difference in time above 13.9 mmol/L in favour of the rtCGM versus isCGM in adults with type 1 diabetes. Results from the RCT by Haskova et al. (2020)17 suggested that there were statistically significant differences in time above 10.0 mmol/L and 13.9 mmol/L in favour of rtCGM versus isCGM in adults with type 1 diabetes. Results from the cross-sectional study by Cherubini et al. (2020)20 suggested that there was a statistically significant difference in time above range (> 10.0 mmol/L) in favour of insulin pump and rtCGM versus multiple daily injections and isCGM in children and adolescents treated with type 1 diabetes. There were no significant differences in time above range between treatment groups in the systematic review15 (1 RCT), and 3 non-randomized studies.18,19,22

Additional Continuous Glucose Monitoring Metrics

In the RCT by Haskova et al. (2020)17 there were no significant differences between groups for mean glycemic variability, mean amplitude of glycemic excursion, or mean sensor glucose. In the retrospective cohort study by Kristensen et al. (2019)22 low blood glucose index was significantly lower in all trimesters in pregnant women with type 1 diabetes using rtCGM versus isCGM. There were no significant differences between groups for mean glucose levels, glycemic variability, mean amplitude of glucose excursions, or high blood glucose index.22

Quality of Life

Results from the RCT by Visser et al. (2021)16 suggested that there were statistically significant differences in the Diabetes Treatment Satisfaction Questionnaire score and satisfaction subscale in favour of rtCGM versus isCGM in adults with type 1 diabetes. There was also a statistically significant difference in the Hypoglycaemia Fear Survey version II worry subscale in favour of the rtCGM group versus isCGM group.16 In the RCT by Haskova et al. (2020)17 there were no significant within-group or between-group differences in patient-reported quality of life.

Hemoglobin A1C

Results from the RCT by Visser et al. (2021)16 suggested that mean A1C was statistically significantly lower in the rtCGM group versus the isCGM group. There were no significant differences between groups in laboratory measured A1C or estimated A1C in the retrospective cohort study by Urakami et al. (2022).18

Maternal and Neonatal Outcomes

There were no significant differences between treatment groups in any of the maternal and neonatal outcomes assessed in the retrospective cohort study by Kristensen et al. (2019).22

Safety

In the Urakami et al. (2022)18 study 5 people in the isCGM group and 1 person in the rtCGM group experienced skin reactions, redness and/or irritation at the sensor attachment site. No participants in either group experienced severe hypoglycemia.18 In the RCT by Visser et al. (2021)16 38 serious adverse events were reported including 30 severe hypoglycemic events in the isCGM group and 3 severe hypoglycemic events and 1 acute hyperglycemia leading to hospitalization in the rtCGM group. None of the serious adverse events were caused by device malfunction.16 Bleeding after sensor insertion was reported by 12 people in the rtCGM group and skin reactions were more frequent in the isCGM group.16 In the RCT by Haskova et al. (2020)17 no clinically relevant skin reactions or episodes of severe hypoglycemia or diabetic ketoacidosis were reported.

Limitations

None of the included primary studies were conducted in Canada.16-22 The systematic review did not specify where the relevant RCT was conducted.15 Therefore, it is unclear whether the results summarized in the report are generalizable Canada. Additionally, all the included studies evaluated rtCGM versus isCGM in people with type 1 diabetes. The comparative effectiveness of rtCGM versus isCGM in people with type 2 diabetes or gestational diabetes is unknown. Limited evidence was identified that evaluated rtCGM versus isCGM in children and adolescents. Two non-randomized studies were identified that included children and adolescents with type 1 diabetes.18,20

The findings summarized in this review are based on the way the outcomes were reported in the included publications. All the included studies evaluated time in range metrics; however, the clinical significance of this outcome is uncertain. There is some evidence suggesting that time in range has a strong relationship with A1C.23 However, a 2019 review concluded that time in range should not be considered a validated surrogate marker of diabetes-related complications due to lack of evidence.24

No studies were identified in which participants and investigators were blind to group allocation. Unblinded studies are at an increased risk for multiple forms of bias. Due to the nature of rtCGM and isCGM a blinded trial comparing the devices is likely not possible (i.e., participants can see and interact with the device).

Conclusions and Implications for Decision- or Policy-Making

This report comprised 1 systematic review,15 2 RCTs,16,17 and 5 non-randomized studies18-22 that evaluated rtCGM versus isCGM in people with type 1 diabetes. No relevant evidence for people with type 2 diabetes or gestational diabetes was identified.

Overall, the evidence regarding the clinical effectiveness of rtCGM versus isCGM for people with type 1 diabetes was mixed. Evidence from 2 RCTs16,17 and 3 non-randomized studies18,20,21 suggested there was a significant difference in time in range in favour of rtCGM in people with type 1 diabetes. Evidence from 1 systematic review15 (1 RCT) and 2 non-randomized studies19,22 suggested there was no significant difference in time in range between people with type 1 diabetes using rtCGM versus isCGM. Evidence from 1 systematic review15 (1 RCT), 2 RCTs,16,17 and 4 non-randomized studies18-20,22 suggested that people with type 1 diabetes using rtCGM spent significantly less time below range or time in hypoglycemia than those using isCGM. Results from 1 RCT17 and 2 non-randomized studies20,21 suggested that people with type 1 diabetes using rtCGM spent significantly less time above range than those using isCGM. Results from 1 systematic review15 (1 RCT) and 3 non-randomized studies18,19,22 suggested there were no significant differences between groups for time above range. The uncertainty around the clinical significance of glucose time in range metrics should be considered when interpreting these results.

Results from 1 RCT suggested that mean A1C was significantly lower in adults with type 1 diabetes using rtCGM versus isCGM.16 Results from 1 non-randomized study suggested there were no significant differences in A1C in children and adolescents with type 1 diabetes using rtCGM versus isCGM.18 Results from 1 RCT suggested there were significant differences in quality of life in favour of rtCGM.16 Results from a different RCT suggested there were no significant differences between treatment groups in quality of life.17 In 1 RCT severe hypoglycemic events and skin reactions were more frequent in the isCGM group; however, bleeding after sensor insertion only occurred in the rtCGM group.16 In a different RCT no clinically relevant skin reactions or episodes of severe hypoglycemia or diabetic ketoacidosis were reported in either group.17 In a non-randomized study of children and adolescents 5 people in the isCGM group and 1 person in the rtCGM group experienced skin reactions, redness and/or irritation at the sensor attachment site and 0 participants in either group experienced severe hypoglycemia.18

The limitations of the included literature (e.g., uncertain clinical significance of time in range metrics, lack of blinding, non-randomized studies) should be considered when interpreting the findings of this report. The evidence around time in range, time above range, and quality of life was mixed. Evidence from 1 systematic review15 (1 RCT), 2 RCTs,16,17 and 4 non-randomized studies18-20,22 suggested that people with type 1 diabetes using rtCGM spent significantly less time below range or time in hypoglycemia than those using isCGM. Additional high-quality studies that evaluate safety as well as outcomes such as diabetes-related complications and quality of life in people with diabetes using rtCGM versus isCGM would help stakeholders in decision-making around the use of these devices.

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18.Urakami T, Terada H, Yoshida K, et al. Comparison of the clinical effects of intermittently scanned and real-time continuous glucose monitoring in children and adolescents with type 1 diabetes: A retrospective cohort study. J Diabetes Investig. 2022;09:09.

19.Prabhu Navis J, Leelarathna L, Mubita W, et al. Impact of COVID-19 lockdown on flash and real-time glucose sensor users with type 1 diabetes in England. Acta Diabetol. 2021;58(2):231-237. PubMed

20.Cherubini V, Bonfanti R, Casertano A, et al. Time In Range in Children with Type 1 Diabetes Using Treatment Strategies Based on Nonautomated Insulin Delivery Systems in the Real World. Diabetes Technol Ther. 2020;22(7):509-515. PubMed

21.Sandig D, Grimsmann J, Reinauer C, et al. Continuous Glucose Monitoring in Adults with Type 1 Diabetes: Real-World Data from the German/Austrian Prospective Diabetes Follow-Up Registry. Diabetes Technol Ther. 2020;22(8):602-612. PubMed

22.Kristensen K, Ogge LE, Sengpiel V, et al. Continuous glucose monitoring in pregnant women with type 1 diabetes: an observational cohort study of 186 pregnancies. Diabetologia. 2019;62(7):1143-1153. PubMed

23.Hybrid closed-loop insulin delivery systems for people with type 1 diabetes. (CADTH Health technology assessment). Ottawa (ON): CADTH; 2021: https://www.cadth.ca/hybrid-closed-loop-insulin-delivery-systems-people-type-1-diabetes. Accessed 2022 Jun 9.

24.Glucose monitoring technologies for the management of insulin-dependent diabetes. Calgary (AB): Health Technology Assessment Unit, University of Calgary; 2019: https://www2.gov.bc.ca/assets/gov/health/about-bc-s-health-care-system/heath-care-partners/health-authorities/bc-health-technology-assessments/glucose-monitoring-hta.pdf. Accessed 2022 Jun 9.

Appendix 1: Selection of Included Studies

Figure 1: Selection of Included Studies

Of the 459 citations identified, 415 were excluded; and 42 electronic literature and 2 grey literature potentially relevant full-text reports were retrieved for scrutiny. In total 8 reports are included in the review.

Appendix 2: Characteristics of Included Publications

Note that this appendix has not been copy-edited.

Table 2: Characteristics of Included Systematic Review

Study citation, country, funding source

Study designs and numbers of primary studies included

Population characteristics

Intervention and comparator(s)

Clinical outcomes, length of follow-up

Cowart et al. (2020)15

US

No funding received

Included studies: 9 RCTs including 1 RCT and its extension study that are relevant to the present report

Inclusion criteria: studies of children, adolescents, or adults with type 1 diabetes or type 2 diabetes. Pregnant women or those with gestational diabetes were also included.

Characteristics of relevant population: 40 adults with type 1 diabetes with impaired awareness of hypoglycemia or severe hypoglycemia

Eligible interventions: isCGM

Eligible comparators: not specified

Relevant intervention: isCGM (FreeStyle Libre)

Relevant comparator: rtCGM (Dexcom G5)

Outcomes: change in A1C, time in glycemic range, hypoglycemia, patient satisfaction

Follow-up: 8 weeks

A1C = hemoglobin A1C; isCGM = intermittently scanned continuous glucose monitoring; RCT = randomized controlled trial; rtCGM = real-time continuous glucose monitoring.

Table 3: Characteristics of Included Primary Clinical Studies

Study citation, country, funding source

Study design

Population characteristics

Intervention and comparator(s)

Clinical outcomes, length of follow-up

Randomized controlled trials

Visser et al. (2021)16

Belgium

Dexcom

Open-label multicentre RCT

Inclusion criteria: people aged 18 years or older with a diagnosis of type 1 diabetes for at least 6 months receiving treatment with multiple daily injections or insulin pump who have exclusively used isCGM for 6 months.

Baseline characteristics:

rtCGM: 127 participants with a mean age of 42.8 years, mean A1C of 7.4%, median duration of diabetes 18 years, 81% were using MDI, 19% were using insulin pump, 19% with hypoglycemia unawareness

isCGM: 127 participants with a mean age of 43 years, mean A1C of 7.4%, median duration of diabetes 17 years, 80% were using MDI, 20% were using insulin pump, 16% with hypoglycemia unawareness

Intervention: rtCGM (Dexcom G6)

Comparator: isCGM (FreeStyle Libre)

Outcomes: time in range, A1C, time in clinically significant hypoglycemia, hypoglycemia fear, time in hypoglycemia, time in target, time in hyperglycemia, time in clinically significant hyperglycemia, mean glucose concentration, glycemic variability, number of low glucose events, adverse events

Follow-up: 6 months

Haskova et al. (2020)17

Czech Republic

Agency for Healthcare Research of the Czech Republic; the Research Project of Charles University

Open-label single-centre RCT

Inclusion criteria: people aged 18 years or older with diabetes for more than 2 years, with no history of severe hypoglycemia in the last 6 months, no previous experience with rtCGM or isCGM, and normal hypoglycemia awareness.

Baseline characteristics: 60 people with type 1 diabetes.

rtCGM: 30 participants, 52% male, mean age of 39.6 years, mean A1C of 7.7%, mean duration of diabetes of 15.9 years, 69% were using MDI

isCGM: 30 participants, 29% male, mean age of 37.8 years, mean A1C of 8.0%, mean duration of diabetes of 14.4 years, 55% were using MDI

Intervention: rtCGM (Guardian Connect Mobile system)

Comparator: isCGM (FreeStyle Libre Flash system)

Outcomes: percentage of time spent in hypoglycemia, changes in time in range, mean sensor glucose, glycemic variability, quality of life, incidence of severe hypoglycemia and ketoacidosis

Follow-up: 4-day exercise phase + 4-week home phase

Non-randomized studies

Urakami et al. (2022)18

Japan

NR

Retrospective cohort

Inclusion criteria: children or adolescents with type 1 diabetes using either rtCGM or isCGM

Baseline characteristics:

rtCGM: 36 participants (16 male, 20 female) with a mean age of 10.8 years, ratio of MDI/CSII for insulin treatment was 32/4

isCGM: 76 participants (36 male, 40 female) with a mean age of 11.7 years, ratio of MDI/CSII for insulin treatment was 42/6

Intervention: rtCGM (Dexcom G4 Platinum)

Comparator: isCGM (FreeStyle Libre)

Outcomes: time in range, time above range, time below range, eA1C, frequencies of CGM metrics, adverse events

Follow-up: 5 months

Prabhu Navis et al. (2021)19

UK

No funding received

Retrospective cohort

Inclusion criteria: people with a history of diabetes using MDI or insulin pump therapy and isCGM or rtCGM on their smartphone device.

Baseline characteristics: 269 people with type 1 diabetes, 54% male, mean age of 41.4 years, mean A1C of 7.3%, 30% using MDI, 70% using insulin pump therapy, 190 (71%) participants using isCGM, 79 (29%) participants using rtCGM

Intervention: rtCGM (Dexcom G6)

Comparator: isCGM (FreeStyle Libre)

Outcomes: time in range, time above range, time below range

Follow-up: three 2-week periods over 4 months

Cherubini et al. (2020)20

Italy

No funding received

Cross-sectional

Inclusion criteria: people with type 1 diabetes aged less than 18 years who have used continuous glucose monitoring for more than 1 year

Baseline characteristics: 665 children and adolescents with a median age of 12 years, 51% male, 46% were using insulin pump, median duration of diabetes 5 years, 325 (49%) participants were using isCGM, 340 (51%) participants were using rtCGM

Intervention: isCGM (FreeStyle Libre 1)

Comparator: rtCGM (Dexcom G4, Dexcom G5, Dexcom G6, or Guardian Connect)

Outcomes: time in range, time above range, time below range, glucose variability

Follow-up: 2 weeks

Sandig et al. (2020)21

Germany, Austria

the German Center for Diabetes Research; the German Diabetes Association; the Robert Koch Institute; Sanofi Germany; Abbott Germany

Cross-sectional

Inclusion criteria: NR

Baseline characteristics: 233 adults with type 1 diabetes, median age of 19 years, median A1C of 7.3%, 47% male, 55% were using CSII, 45% were using MDI, 185 (79%) participants were using isCGM, 48 (21%) participants were using rtCGM

Intervention: rtCGM

Comparator: isCGM

Outcomes: time in range, time in hyperglycemic range, time in hypoglycemic range, glucose variability, high blood glucose index, low blood glucose index, average daily risk range

Follow-up: at least 14 and up to 30 days

Kristensen et al. (2019)22

Sweden

Region Skåne,

Sweden; the Oak Foundation

Retrospective cohort

Inclusion criteria: pregnant women aged 18 years or older with type 1 diabetes using a CGM device

Baseline characteristics:

rtCGM: 92 women with a median age of 31 years, 42% were using insulin pump, median diabetes duration 17 years, mean A1C of 7.0% in trimester 1 and 6.3% in trimesters 2 and 3

isCGM: 94 women with a median age of 31 years, 16% were using insulin pump, median diabetes duration 14 years, mean A1C of 6.9% in trimester 1 and 6.3% in trimesters 2 and 3

Intervention: rtCGM (Dexcom G4)

Comparator: isCGM (FreeStyle Libre)

Outcomes: maternal and neonatal outcomes, time in euglycemia, time in hyperglycemia, time in hypoglycemia, low blood glucose index, high blood glucose index, glucose variability, mean glucose levels, mean amplitude of glucose excursions

Follow-up: duration of pregnancy (up to 40 weeks)

A1C = hemoglobin A1C; CGM = continuous glucose monitoring; CSII = continuous subcutaneous insulin infusion; eA1C = estimated A1C; isCGM = intermittently scanned continuous glucose monitoring; MDI = multiple daily injections; NR = not reported; RCT = randomized controlled trial; rtCGM = real-time continuous glucose monitoring.

Appendix 3: Critical Appraisal of Included Publications

Note that this appendix has not been copy-edited.

Table 4: Strengths and Limitations of Systematic Review Using AMSTAR 212

Strengths

Limitations

Cowart et al. (2020)15

  • Clear objective and inclusion criteria that included elements of population, intervention, and outcomes

  • The choice of study designs included in the review (i.e., RCTs) was explained

  • The literature search was conducted in multiple databases and a trial registry, and the full search strategy was provided

  • Study selection was performed independently by 2 authors

  • The included studies were described in adequate detail

  • The included studies were critically appraised using appropriate methods

  • The authors did not receive funding for the review and stated that they had no potential conflicts of interest

  • Eligible comparators were not specified

  • The authors do not state whether the review methods were established prior to conducting the review

  • The authors do not state whether the reference lists of included studies were handsearched for additional literature

  • The authors do not state whether data extraction was performed in duplicate

  • List of excluded studies not provided, however reasons for exclusion provided

  • The countries the included studies were conducted in were not specified

  • Sources of funding for individual studies included in the review were not reported

AMSTAR 2 = A MeaSurement Tool to Assess systematic Reviews 2; RCT = randomized controlled trial.

Table 5: Strengths and Limitations of Clinical Studies Using the Downs and Black checklist13

Strengths

Limitations

Randomized controlled trials

Visser et al. (2021)16

  • Objective, patient characteristics, interventions, and main findings clearly described

  • Estimates of random variability (95% confidence intervals) and actual probability values reported

  • Commonly known adverse events reported

  • No patients were lost to follow-up

  • The main outcome measures were valid and reliable

  • Statistical tests used were appropriate

  • Compliance with the intervention was reliable

  • Participants in different intervention groups were recruited from the same population

  • Participants were randomized to intervention groups and an approach was used that minimized imbalance in specific baseline characteristics between treatment groups

  • Key secondary outcomes were adjusted for multiplicity, however no adjustment was made for other outcomes

  • A power calculation was conducted a priori to determine sample, and a sufficient number of participants were randomized

  • The funding source for the study and potential conflicts of interest were reported

  • The authors state that the funder had no role in study design, data collection, data analysis, data interpretation, writing of the report, or the decision to submit for publication

  • Participants, investigators, and study teams were not blind to group allocation

  • Potential confounders were not discussed or adjusted for

  • Study was conducted in Belgium, and it is unclear whether results are generalizable to Canadian population

Haskova et al. (2020)17

  • Objective, patient characteristics, interventions, and main findings clearly described

  • Estimates of random variability (95% confidence intervals) and actual probability values reported

  • No patients were lost to follow-up

  • Commonly known adverse events reported

  • The main outcome measures were valid and reliable

  • Statistical tests used were appropriate

  • Participants in different intervention groups were recruited from the same population

  • Participants were randomized to intervention groups in a 1:1 ratio

  • A power calculation was conducted a priori to determine sample, and a sufficient number of participants were randomized

  • The funding sources for the study and potential conflicts of interest were reported

  • Participants and investigators were not blind to group allocation

  • Potential confounders were not discussed or adjusted for in the analysis

  • Authors do not state if they measured compliance with the intervention

  • Authors do not state the time frame for participant recruitment

  • Statistical analysis did not adjust for multiplicity

  • Study was conducted in the Czech Republic, and it is unclear whether results are generalizable to Canadian population

Non-randomized studies

Urakami et al. (2022)18

  • Objective, patient characteristics, interventions, and main findings clearly described

  • Estimates of random variability (standard deviation) and actual probability values reported

  • Commonly known adverse events reported

  • No patients were lost to follow-up

  • The main outcome measures were valid and reliable

  • Statistical tests used were appropriate

  • Compliance with the intervention was reliable

  • Participants in different intervention groups were recruited from the same population

  • Potential conflicts of interest were reported

  • Participants were not randomized to intervention groups

  • Participants and investigators were not blind to group allocation

  • Potential confounders were not discussed or adjusted for

  • Funding source for study not reported

  • Statistical analysis did not adjust for multiplicity

  • Study was conducted in Japan, and it is unclear whether results are generalizable to Canadian population

Prabhu Navis et al. (2021)19

  • Objective, patient characteristics, interventions, and main findings clearly described

  • Estimates of random variability (standard deviation, interquartile range) and actual probability values reported

  • No patients were lost to follow-up

  • The main outcome measures were valid and reliable

  • Statistical tests used were appropriate

  • Compliance with the intervention was reliable

  • Participants in different intervention groups were recruited from the same population

  • Potential conflicts of interest were reported

  • The authors report that no funding was received

  • Participants were not randomized to intervention groups

  • Participants and investigators were not blind to group allocation

  • Potential confounders were not discussed or adjusted for

  • Adverse events were not reported

  • Statistical analysis did not adjust for multiplicity

  • Study was conducted in the UK, and it is unclear whether results are generalizable to the Canadian population

Cherubini et al. (2020)20

  • Objective, patient characteristics, interventions, and main findings clearly described

  • Estimates of random variability (interquartile range) reported

  • No patients were lost to follow-up

  • The main outcome measures were valid and reliable

  • Statistical tests used were appropriate

  • Compliance with the intervention was reliable

  • Participants in different intervention groups were recruited from the same population

  • An analysis was performed for one of the main outcomes with adjustments for various baseline characteristics

  • The authors reported that they had no potential conflicts of interest, and no funding was received

  • Participants were not randomized to intervention groups

  • Participants and investigators were not blind to group allocation

  • Adverse events were not reported

  • Statistical analysis did not adjust for multiplicity

  • Study was conducted in Italy, and it is unclear whether results are generalizable to Canadian population

Sandig et al. (2020)21

  • Study objective clearly described

  • Estimates of random variability (interquartile range) and actual probability values reported

  • No patients were lost to follow-up

  • The main outcome measures were valid and reliable

  • Statistical tests used were appropriate

  • Compliance with the intervention was reliable

  • Participants in different intervention groups were recruited from the same population

  • Main outcomes were adjusted for age group, duration of diabetes and gender

  • The funding sources for the study and potential conflicts of interest were reported

  • The authors state that the funders had no role in study design, data collection, and analysis, decision to publish, or preparation of the article

  • Inclusion and exclusion criteria for participants not specified

  • Specific devices used for rtCGM and isCGM not reported

  • Adjusted comparisons were only reported graphically

  • Adverse events were not reported

  • Participants were not randomized to intervention groups

  • Participants and investigators were not blind to group allocation

  • Statistical analysis did not adjust for multiplicity

  • Study was conducted in Germany and Austria, and it is unclear whether results are generalizable to the Canadian population

Kristensen et al. (2019)22

  • Objective, patient characteristics, interventions, and main findings clearly described

  • Estimates of random variability (standard deviation, interquartile range) and actual probability values reported

  • No patients were lost to follow-up

  • The main outcome measures were valid and reliable

  • Statistical tests used were appropriate

  • Compliance with the intervention was reliable

  • Participants in different intervention groups were recruited from the same population

  • The authors reported that they had no potential conflicts of interest

  • The funding sources for the study were reported

  • Participants were not randomized to intervention groups

  • Participants and investigators were not blind to group allocation

  • There appear to be imbalances in some baseline characteristics between intervention groups (i.e., diabetes duration, use of insulin pump)

  • Potential confounders were not adjusted for in the analysis

  • Statistical analysis did not adjust for multiplicity

  • Some commonly known adverse events (i.e., severe hypoglycemia, ketoacidosis, skin reactions) were not reported

  • Study was conducted in Sweden, and it is unclear whether results are generalizable to Canadian population

isCGM = intermittently scanned continuous glucose monitoring; rtCGM = real-time continuous glucose monitoring.

Appendix 4: Main Study Findings

Note that this appendix has not been copy-edited.

Table 6: Summary of Findings by Outcome — Glucose Time in Range Metrics

Study citation and study design

Outcome

Time point

Treatment group

Difference (95% CI)

P value

rtCGM

isCGM

Time in range

Urakami et al. (2022)18

Retrospective cohort

Mean time in range (3.9 to 10.0 mmol/L), %

5 months

57.7 (SD=12.3)

52.3 (SD=12.3)

NR

0.0368

Proportion of participants with time in range >70%

5 months

13.9

3.9

NR

0.108

Visser et al. (2021)16

RCT

Mean time in range (3.9 to 10.0 mmol/L), %

Baseline

52.5 (95% CI, 49.8 to 55.1)

51.3 (95% CI, 48.7 to 54.0)

NR

NR

6 months

59.6 (95% CI, 56.8 to 62.4)

51.9 (95% CI, 49.1 to 54.7)

6.85 (4.36 to 9.34)

<0·0001

Haskova et al. (2020)17

RCT

Mean time in range (3.9 to 10.0 mmol/L), %

Baseline

65.4 (SD=14.8)

61.4 (SD=20.6)

3.94 (-5.4 to 13.3)

0.2765

Exercise phase

78.5 (SD=10.2)

69.7 (SD=16.0)

8.81 (1.8 to 15.8)

0.0149

Home phase

75.6 (SD=9.7)

67.4 (SD=17.8)

8.14 (0.7 to 15.6)

0.0339

Post-randomization phase (exercise + home)

76.4 (SD=8.7)

67.9 (SD=15.4)

8.52 (2.0 to 15.1)

0.0117

Prabhu Navis et al. (2021)19

Retrospective cohort

Mean time in range (3.9 to 10.0 mmol/L), %

Pre-lockdown

56.6 (SD=19.9)

55.8 (SD=17.2)

NR

0.74

Period 1

56 (SD=20)

61 (SD=16)

NR

0.06

Period 2

57 (SD=21)

60 (SD=17)

NR

0.14

Time below range

Urakami et al. (2022)18

Retrospective cohort

Mean time below range (<3.9 mmol/L), %

5 months

4.3 (SD=2.7)

10.2 (SD=5.4)

NR

<0.0001

Proportion of participants with time below range <5%

5 months

72.2

18.4

NR

<0.001

Visser et al. (2021)16

RCT

Mean time in hypoglycemia (<3.0 mmol/L), %

Baseline

0·91 (95% CI, 0.60 to 1.22)

1.05 (95% CI, 0.74 to 1.36)

NR

NR

6 months

0·47 (95% CI, 0.28 to 0.66)

0·84 (95% CI, 0.65 to 1.03)

-0.35 (-0·61 to -0·10)

0·0070

Haskova et al. (2020)17

RCT

Mean time below range (<3.9 mmol/L), %

Baseline

6.4 (SD=5.8)

4.1 (SD=4.1)

2.31 (-0.3 to 4.9)

0.0844

Exercise phase

6.8 (SD=5.5)

11.4 (SD=8.6)

-4.64 (-8.4 to -0.9)

0.0180

Home phase

5.3 (SD=2.5)

7.3 (SD=4.4)

-2.03 (-3.9 to -0.2)

0.0353

Post-randomization phase (exercise + home)

5.4 (SD=2.5)

8.3 (SD=4.8)

-2.85 (-4.9 to -0.8)

0.0062

Mean time below range (<3.0 mmol/L), %

Baseline

1.8 (SD=2.4)

1.0 (SD=1.8)

0.76 (-0.3 to 1.9)

0.1531

Exercise phase

1.5 (SD=1.7)

3.5 (SD=3.9)

-2.02 (-3.6 to -0.4)

0.0131

Home phase

1.3 (SD=1.1)

2.1 (SD=2.0)

-0.82 (-1.7 to 0.0)

0.0557

Post-randomization phase (exercise + home)

1.3 (SD=1.0)

2.5 (SD=2.2)

-1.18 (-2.1 to -0.3)

0.0107

Prabhu Navis et al. (2021)19

Retrospective cohort

Median time below range (<3.9 mmol/L), %

Pre-lockdown

1.6 (IQR=0.5 to 3.6)

4.0 (IQR=2 to 7)

NR

<0.005

Period 1

1.8 (IQR=0.4 to 4.8)

4 (IQR=2 to 9)

NR

<0.005

Period 2

1.4 (IQR=0.3 to 4.4)

4 (IQR=2 to 8)

NR

<0.005

Time above range

Urakami et al. (2022)18

Retrospective cohort

Mean time above range (>10.0 mmol/L), %

5 months

37.4 (SD=12.9)

38.0 (SD=12.5)

NR

0.881

Haskova et al. (2020)17

RCT

Mean time above range (>10.0 mmol/L), %

Baseline

27.4 (SD=15.5)

34.1 (SD=21.3)

-6.64 (-16.3 to 3.0)

0.1523

Exercise phase

14.7 (SD=9.1)

18.9 (SD=17.7)

-4.12 (-11.5 to 3.2)

0.2073

Home phase

18.3 (SD=8.6)

25.3 (SD=17.6)

-6.96 (-14.2 to 0.3)

0.0581

Post-randomization phase (exercise + home)

18.0 (SD=8.1)

25.2 (SD=16.7)

-7.23 (-14.1 to -0.4)

0.0391

Mean time above range (>13.9 mmol/L), %

Baseline

9.9 (SD=9.9)

12.0 (SD=13.6)

-2.12 (-8.3 to 4.1)

0.3134

Exercise phase

3.4 (SD=5.2)

3.8 (SD=6.4)

-0.46 (-3.5 to 2.6)

0.3804

Home phase

3.5 (SD=3.8)

8.3 (SD=7.7)

-4.19 (-8.0 to -0.4)

0.0296

Post-randomization phase (exercise + home)

3.4 (SD=3.6)

6.6 (SD=7.7)

-3.19 (-6.3 to 0.0)

0.0465

Prabhu Navis et al. (2021)19

Retrospective cohort

Mean time above range (>10.0 mmol/L), %

Pre-lockdown

40.4 (SD=21.6)

38.6 (SD=19.2)

NR

0.49

CI = confidence interval; IQR = interquartile range; isCGM = intermittently scanned continuous glucose monitoring; NR = not reported; RCT = randomized controlled trial; rtCGM = real-time continuous glucose monitoring; SD = standard deviation.

Table 7: Summary of Findings by Outcome — Additional CGM Metrics

Study citation and study design

Outcome

Time point

Treatment group

Difference (95% CI)

P value

rtCGM

isCGM

Glycemic variability

Haskova et al. (2020)17

RCT

Mean glycemic variability (coefficient of variation, %)

Baseline

39.2 (SD = 7.7)

34.8 (SD = 8.9)

0.04 (0.0 to 0.1)

0.0473

Exercise phase

35.1 (SD = 8.0)

36.0 (SD = 7.7)

-0.01 (-0.1 to 0.0)

0.3564

Home phase

36.2 (SD = 5.7)

37.2 (SD = 7.8)

-0.01 (-0.1 to 0.0)

0.3365

Post-randomization phase (exercise + home)

36.1 (SD = 5.1)

38.4 (SD = 8.3)

-0.02 (-0.1 to 0.0)

0.1764

Mean amplitude of glycemic excursion

Haskova et al. (2020)17

RCT

Mean amplitude of glycemic excursion

Baseline

6.7 (SD = 2.0)

6.0 (SD = 2.3)

0.77 (-0.4 to 1.9)

0.1577

Exercise phase

5.2 (SD = 1.5)

4.8 (SD = 1.6)

0.36 (-0.4 to 1.2)

0.2656

Home phase

5.1 (SD = 1.3)

5.7 (SD = 1.9)

-0.61 (-1.5 to 0.2)

0.1374

Post-randomization phase (exercise + home)

5.1 (SD = 1.2)

5.8 (SD = 1.8)

-0.67 (-1.5 to 0.1)

0.0973

Mean sensor glucose

Haskova et al. (2020)17

RCT

Mean sensor glucose, mmol/L

Baseline

8.5 (SD = 1.6)

9.0 (SD = 2.0)

-0.51 (-1.4 to 0.4)

0.2116

Exercise phase

7.3 (SD = 0.8)

7.3 (SD = 1.6)

-0.04 (-0.7 to 0.6)

0.3962

Home phase

7.7 (SD = 0.7)

8.2 (SD = 1.6)

-0.52 (-1.2 to 0.1)

0.1080

Post-randomization phase (exercise + home)

7.6 (SD = 0.7)

8.0 (SD = 1.4)

-0.34 (-0.9 to 0.2)

0.1926

CGM = continuous glucose monitoring; CI = confidence interval; isCGM = intermittently scanned continuous glucose monitoring; RCT = randomized controlled trial; rtCGM = real-time continuous glucose monitoring; SD = standard deviation.

Table 8: Summary of Findings by Outcome — Glucose Time in Range Metrics and Additional CGM Metrics

Study citation

Detailed findings

Cowart et al. (2020)15

SR (1 RCT and its extension)

Reddy et al. 2018 (I HART CGM)

  • Median between groups difference in percentage of time in hypoglycemia (<3.3 mmol/L) from baseline to endpoint

    • -4.3% (P = 0.006) (favours rtCGM)

  • No significant differences between groups in change in time in glycemic range or time spent above hyperglycemic thresholds.

Reddy et al. 2018 (I HART CGM Extension)

  • Time in target range (3.9 to 10.0 mmol/L)

    • Increased in isCGM group after switching to rtCGM (P = 0.02)

    • Remained the same in rtCGM group that continued with rtCGM (P = 0.64)

  • Percentage of time in hypoglycemia (<55 mg/dL)

    • Significant reduction in the group that switched from isCGM to rtCGM (P = 0.0001)

    • No change in the rtCGM group that continued with rtCGM (P = 0.82)

Kristensen et al. (2019)22

Retrospective cohort

  • Proportion of time spent in euglycemia (3.5 to 7.8 mmol/L)

    • No differences between rtCGM and isCGM in any of the trimesters (P = 0.54 to 0.65)

  • Proportion of time spent in hyperglycemia (>7.8 mmol/L)

    • No differences between rtCGM and isCGM in any of the trimesters (P = 0.12 to 0.18)

  • Proportion of time spent in hypoglycemia (<3.5 mmol/L)

    • Participants in the rtCGM group spent less time in hypoglycemia than those in the isCGM group (P = 0.006 in the first trimester and P = 0.004 in the second and third trimesters)

  • Low blood glucose index

    • Significantly lower in all trimesters in the rtCGM group (P<0.001)

  • No significant differences between groups for mean glucose levels, glycemic variability, mean amplitude of glucose excursions, high blood glucose index

CGM = continuous glucose monitoring; isCGM = intermittently scanned continuous glucose monitoring; RCT = randomized controlled trial; rtCGM = real-time continuous glucose monitoring.

Table 9: Summary of Findings by Outcome — Quality of Life and Adverse Events

Study citation

Detailed findings

Quality of life

Visser et al. (2021)16

RCT

  • Diabetes Treatment Satisfaction Questionnaire at 6 months

    • Mean difference: 6.76 points (95%CI, 5.08 to 8.43; P<0.0001) (favours rtCGM group)

  • Satisfaction subscale mean difference: 2.34 points (95% CI, 1.15 to 3.54; P=0.0001) (favours rtCGM group)

Haskova et al. (2020)17

RCT

There were no significant within-group changes or between-group differences in patient-reported quality of life

Adverse events

Urakami et al. (2022)18

Retrospective cohort

  • 5 people in the isCGM group and 1 person in the rtCGM group experienced skin reactions, redness and/or irritation at the sensor attachment site

  • No participants in either group experienced severe hypoglycemia

Visser et al. (2021)16

RCT

  • 63 participants reported 93 adverse events

    • 46 were CGM related

  • 38 serious adverse events were reported

    • isCGM group: 30 severe hypoglycemic events

    • rtCGM group: 3 severe hypoglycemic events and 1 acute hyperglycemia leading to hospitalization

    • None of the serious adverse events were caused by device malfunction

  • Bleeding after sensor insertion was reported by 12 people in the rtCGM group leading to sensor replacement in 5 out 14 bleeding events

  • Skins reactions were more frequent in the isCGM group

Haskova et al. (2020)17

RCT

  • No contact dermatitis/allergy or other clinically relevant skin reactions reported

  • No episodes of severe hypoglycemia or diabetic ketoacidosis were reported

CGM = continuous glucose monitoring; isCGM = intermittently scanned continuous glucose monitoring; RCT = randomized controlled trial; rtCGM = real-time continuous glucose monitoring.

Table 10: Summary of Findings by Outcome — Additional Outcomes

Study citation and study design

Outcome

Time point

Treatment group

Difference (95% CI)

P value

rtCGM

isCGM

A1C

Urakami et al. (2022)18

Retrospective cohort

Mean eA1C, %

5 months

7.4 (SD=0.9)

7.5 (SD=0.8)

NR

0.734

Proportion of participants with eA1C <7.0%

5 months

38.9

31.6

NR

0.523

Mean laboratory measured A1C, %

5 months

7.6 (SD=0.7)

7.7 (SD=0.7)

NR

0.758

Visser et al. (2021)16

RCT

Mean A1C, %

Baseline

7.4 (95% CI, 7.3 to 7.6)

7.4 (95% CI, 7.3 to 7.6)

NR

NR

6 months

7.1 (95% CI, 6.9 to 7.2)

7.4 (95% CI, 7.3 to 7.6)

-0.36 (-0.48 to -0.24)

<0.0001

HFS-worry

Visser et al. (2021)16

RCT

HFS-worry, points

Baseline

18.8 (95% CI, 16.7 to 21.0)

18.7 (95% CI, 16.5 to 20.8)

NR

NR

6 months

15.4 (95% CI, 13.3 to 17.5)

18.0 (95% CI, 15.8 to 20.1)

-2.62 (-4.52 to --0.71)

0.0071

Maternal and neonatal outcomes

Kristensen et al. (2019)22

Retrospective cohort

Pre-eclampsia/ pregnancy-induced hypertension, n (%)

During pregnancy

15 (16)

19 (20)

NR

0.47

Caesarean section, n (%)

Birth

46 (50)

41 (44)

NR

0.38

Preterm birth (<37 weeks), n (%)

Birth

24 (26)

28 (30)

NR

0.57

Mean birthweight, g

Birth

3812 (SD = 678)

3834 (SD = 747)

NR

0.84

Large for gestational age infant, n (%)

Birth

48 (52)

50 (53)

NR

0.89

Macrosomia (>4500 g), n (%)

Birth

14 (15)

16 (17)

NR

0.74

5 min Apgar score <7, n (%)

Birth

1 (1)

5 (5)

NR

NR

Shoulder dystocia, n (%)

Birth

3 (3)

2 (2)

NR

NR

Neonatal hypoglycemia (plasma glucose < 2.6 mmol/L), n (%)

>3 hours after birth

19 (21)

26 (28)

NR

0.27

NICU admission > 24 hours, n (%)

Birth

27 (29)

33 (35)

NR

0.40

Neonatal composite outcome, n (%)

Note: Neonatal composite outcome includes ≥ 1 of the following: macrosomia, shoulder dystocia, neonatal hypoglycemia or NICU admission > 24 hours

Birth

37 (40)

46 (49)

NR

0.23

A1C = hemoglobin A1C; CGM = continuous glucose monitoring; CI = confidence interval; eA1C = estimated A1C; HFS-worry = Hypoglycaemia Fear Survey version II worry subscale; isCGM = intermittently scanned continuous glucose monitoring; RCT = randomized controlled trial; NICU = neonatal intensive care unit; NR = not reported; rtCGM = real-time continuous glucose monitoring; SD = standard deviation.

Table 11: Summary of Findings From Sandig et al. (2020)21

Outcome

Treatment group

P value (CSII + rtCGM vs CSII + isCGM)

CSII + rtCGM

(n=38)

CSII + isCGM

(n=90)

MDI + isCGM

(n=95)

Mean sensor glucose

Mean sensor glucose, median (IQR)

166 (147 to 194)

182 (153 to 214)

173 (149 to 207)

NR

Adjusted mean sensor glucosea

NS

Glucose time in range metrics

Time in range (3.9 to 10.0 mmol/L) (%), median (IQR)

54 (47 to 66)

46 (34 to 58)

51 (37 to 63)

NR

Adjusted mean time in rangea

0.027 (favours rtCGM group)

Time <3.0 mmol/L (%), median (IQR)

1 (<1 to 3)

2 (1 to 4)

2 (1 to 4)

NR

Time <3.9 mmol/L (%), median (IQR)

4 (1 to 9)

6 (3 to 10)

5 (3 to 9)

NR

Adjusted mean time <3.9 mmol/La

NS

Time >10.0 mmol/L (%), median (IQR)

39 (26 to 50)

47 (34 to 60)

43 (28 to 57)

NR

Adjusted mean time >10.0 mmol/La

NS

Time >13.9 mmol/L (%), median (IQR)

13 (6 to 22)

19 (11 to 31)

15 (7 to 28)

NR

Adjusted mean time >13.9 mmol/L a

0.026 (favours rtCGM group)

Glucose variability

Glucose variability (coefficient of variation, %), median (IQR)

33 (31 to 39)

39 (35 to 43)

36 (31 to 40)

NR

Adjusted mean glucose variability (coefficient of variation)a

0.002 (favours rtCGM group)

Blood glucose index

Low blood glucose index, median (IQR)

1.0 (0.4 to 2.0)

1.5 (0.7 to 2.4)

1.3 (0.7 to 2.2)

NR

High blood glucose index, median (IQR)

8.7 (5.7 to 12.8)

11.3 (7.4 to 17.2)

10.0 (6.3 to 15.8)

NR

Average daily risk range

Average daily risk range, median (IQR)

47 (40 to 54)

56 (46 to 69)

51 (40 to 61)

NR

aResults for this outcome were presented in a figure and exact values could not ascertained.

CSII = continuous subcutaneous insulin infusion; IQR = interquartile range; isCGM = intermittently scanned continuous glucose monitoring; MDI = multiple daily injections; NR = not reported; rtCGM = real-time continuous glucose monitoring.

Table 12: Summary of Findings from Cherubini et al. (2020)20

Outcome

Treatment group

Significance

MDI + rtCGM

(n=120)

IP + rtCGM

(n=221)

MDI + isCGM

(n=240)

IP + isCGM

(n=85)

Time in range (3.9 to 10.0 mmol/L)

Time in range (%), median (IQR)

56 (39 to 66)

61 (50 to 71)

49 (40 to 60)

56 (42 to 65)

IP + rtCGM group had significantly higher median time in range than the other groups (all P<0.01)

Proportion of participants with time in range >60%, n (%)

51 (42.5)

116 (52.5)

58 (24.2)

29 (34.1)

P<0.001

Proportion of participants with time in range >70%, n (%)

17 (14.2)

62 (28.1)

20 (8.3)

11 (12.9)

P<0.001

Time below range (<3.9 mmol/L)

Time below range (%), median (IQR)

2 (1 to 4)

3 (1 to 6)

5 (2 to 8)

5 (3 to 7)

  • MDI + rtCGM vs MDI + isCGM P<0.001

  • MDI + rtCGM vs IP + isCGM P<0.001

  • IP + rtCGM vs IP + isCGM P<0.001

  • IP + rtCGM vs MDI + isCGM P<0.001

All comparisons favour rtCGM

Proportion of participants with time below range <4%, n (%)

87 (72.5)

136 (61.5)

102 (42.5)

24 (28.2)

P<0.001

Time above range (>10.0 mmol/L)

Time above range (%), median (IQR)

42 (30 to 61)

35 (24 to 46)

44 (33 to 56)

38 (30 to 54)

IP +rtCGM group had significantly lower time above range than the MDI + isCGM group (P<0.001)

Proportion of participants with time above range <25%, n (%)

20 (16.7)

58 (26.2)

25 (10.4)

17 (20)

P<0.001

IP = insulin pump; IQR = interquartile range; isCGM = intermittently scanned continuous glucose monitoring; MDI = multiple daily injections; NR = not reported; rtCGM = real-time continuous glucose monitoring.

Appendix 5: References of Potential Interest

Note that this appendix has not been copy-edited.

Previous CADTH Reports

Flash glucose monitoring and continuous glucose monitoring for people with diabetes in acute care settings (CADTH Rapid response report: summary of abstracts). Ottawa (ON): CADTH; 2021: https://www.cadth.ca/flash-glucose-monitoring-and-continuous-glucose-monitoring-people-diabetes-acute-care-settings. Accessed 2022 Jun 9.

Flash glucose monitoring systems in pediatric populations with diabetes (CADTH Rapid response report: summary with critical appraisal). Ottawa (ON): CADTH; 2021: https://www.cadth.ca/flash-glucose-monitoring-systems-pediatric-populations-diabetes. Accessed 2022 Jun 9.

Continuous glucose monitoring for patients with all diabetes types: clinical effectiveness and guidelines (CADTH Rapid response report: summary of abstracts). Ottawa (ON): CADTH; 2018: https://www.cadth.ca/continuous-glucose-monitoring-patients-all-diabetes-types-clinical-effectiveness-and-guidelines. Accessed 2022 Jun 9.

Review Articles

Lucidi P, Porcellati F, Bolli GB, Fanelli CG. Prevention and management of severe hypoglycemia and hypoglycemia unawareness: incorporating sensor technology. Curr Diab Rep. 2018;18(10):83. PubMed

Klonoff DC, Ahn D, Drincic A. Continuous glucose monitoring: A review of the technology and clinical use. Diabetes Res Clin Pract. 2017;133:178-192. PubMed

Rodbard D. Continuous glucose monitoring: a review of recent studies demonstrating improved glycemic outcomes. Diabetes Technol Ther. 2017;19(Supplement 3):S25-S37. PubMed

Single-arm Before-after Studies

Preau Y, Galie S, Schaepelynck P, Armand M, Raccah D. Benefits of a Switch from Intermittently Scanned Continuous Glucose Monitoring (isCGM) to Real-Time (rt) CGM in Diabetes Type 1 Suboptimal Controlled Patients in Real-Life: A One-Year Prospective Study. Sensors (Basel). 2021;21(18):13. PubMed

Preau Y, Armand M, Galie S, Schaepelynck P, Raccah D. Impact of Switching from Intermittently Scanned to Real-Time Continuous Glucose Monitoring Systems in a Type 1 Diabetes Patient French Cohort: An Observational Study of Clinical Practices. Diabetes Technol Ther. 2021;23(4):259-267. PubMed

Massa GG, Gys I, Bevilacqua E, Wijnands A, Zeevaert R. Comparison of flash glucose monitoring with real time continuous glucose monitoring in children and adolescents with type 1 diabetes treated with continuous subcutaneous insulin infusion. Diabetes Res Clin Pract. 2019;152:111-118. PubMed