Research Summary
Analyzed using Evidence Intelligence™

RT-CGM improves glucose control in adults with T2D

Last updated August 22, 2026

Key finding

HbA1c decreased by 0.67 ± 0.82%

This study evaluated the impact of real-time continuous glucose monitoring and offline-blinded glucose monitoring on blood glucose control in participants. Results indicated reductions in HbA1c and fasting plasma glucose levels.

Quick read

Study at a glance

The essential study design details in one scan.

EvidenceScore™

Moderate

Study type

RCTs

Follow-up

Medium-Term (3–12 mo)

Risk of bias

Some Concerns

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Plain-language summary

What this paper says

A plain-language read of the study’s main message and where it applies.

Study focus

This study evaluated the impact of real-time continuous glucose monitoring and offline-blinded glucose monitoring on blood glucose control in participants. Results indicated reductions in HbA1c and fasting plasma glucose levels.

Clinical relevance

Improving adherence to lifestyle interventions is crucial for diabetes management. The findings highlight the potential of glucose monitoring technologies to enhance patient outcomes, which can lead to better long-term health and reduced complications associated with diabetes.

Keep in mind

Insufficient power to achieve statistical significance for some outcomes Potential biases in self-reported adherence Limited generalizability due to specific population characteristics

Published in

Journal Reference

Publication details and source links for this paper.

Penelope JT, Campbell HT, Natalie DL, Thomas PW, Gary W, Grant DB. Optimising patient adherence to prescribed lifestyle interventions to achieve improved blood glucose control. Diabetes Therapy. 2019;10(2):509-522. doi:10.1007/s13300-019-0572-z

Main Effects

HbA1c decreased by 0.67 ± 0.82%

Fasting plasma glucose decreased by 1.2 ± 1.9 mmol/L

Body weight decreased by 7.4 ± 4.5 kg

Evidence network

How this study fits

Understand where this research contributes within the broader evidence network.

Evidence Context

This study contributes evidence to Continuous glucose monitoring, Self-monitoring of blood glucose and Body weight, Diabetes medication use change, Fasting Plasma Glucose (FPG), and 4 more.

Primary intervention

Continuous glucose monitoring

Primary outcomes

  • Body weight
  • Diabetes medication use change
  • Fasting Plasma Glucose (FPG)

Evidence relationships

Intervention and outcome relationships this study adds to the evidence network.

10
Evidence pairs
10
Relationships
5
Evidence topics
contributes_evidence

Editorial context

Why this study matters

See why this paper is useful beyond its individual results.

Evidence network role

This section describes how the study fits into the current evidence network. It does not determine whether an intervention works on its own.

Moderate contributionModerate confidenceNetwork score: 68

5

Related topics

10

Evidence pairs

1169

Related studies

High relevance in at least one topic

Why it is useful

  • Contributes to 10 evidence relationships
  • Includes primary outcome data
  • Linked to 4 direct semantic evidence topics

Topic contributions

Evidence topic

Contributes evidence

Evidence topic

Contributes evidence

Evidence topic

Contributes evidence

Evidence topic

Contributes evidence

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Primary evidence

Evidence relationship

Insulin Delivery Systems and HbA1c

Related evidence

Evidence relationship

Insulin Delivery Systems and Fasting Glucose

Save evidence

Evidence relationship

Insulin Delivery Systems and Adipokine and Angiogenic Markers

Save evidence

Core evidence

Study findings

The primary outcomes reported in this study.

Body weight

Continuous glucose monitoring → Body weight

Continuous glucose monitoring → Body weight

Evidence Intelligence™
EvidenceScore™
Moderate
Score 69 · Based on 2 studies
ImpactScore™
50
Neutral
ConsistencyScore™
35
mixed
Supporting studies: Based on 2 studies
Add to Evidence Tracker

Diabetes medication use change

Continuous glucose monitoring → Diabetes medication use change

Continuous glucose monitoring → Diabetes medication use change

Evidence Intelligence™
EvidenceScore™
Emerging
Score 59 · Based on 1 study
ImpactScore™
50
Neutral
ConsistencyScore™
unclear
Not enough independent studies
Supporting studies: Based on 1 study
Add to Evidence Tracker

Fasting Plasma Glucose (FPG)

Continuous glucose monitoring → Fasting Plasma Glucose (FPG)

Continuous glucose monitoring → Fasting Plasma Glucose (FPG)

Evidence Intelligence™
EvidenceScore™
Emerging
Score 59 · Based on 1 study
ImpactScore™
50
Neutral
ConsistencyScore™
unclear
Not enough independent studies
Supporting studies: Based on 1 study
Add to Evidence Tracker

Glycaemic variability (CONGA-1)

Continuous glucose monitoring → Glycaemic variability (CONGA-1)

Continuous glucose monitoring → Glycaemic variability (CONGA-1)

Evidence Intelligence™
EvidenceScore™
Emerging
Score 59 · Based on 1 study
ImpactScore™
50
Neutral
ConsistencyScore™
unclear
Not enough independent studies
Supporting studies: Based on 1 study
Add to Evidence Tracker

HbA1c

Continuous glucose monitoring → HbA1c

Continuous glucose monitoring → HbA1c

Evidence Intelligence™
EvidenceScore™
86
Strong
ImpactScore™
88
Very Positive
ConsistencyScore™
88
consistent
Supporting studies: Based on 8 studies
Add to Evidence Tracker

LDL cholesterol

Continuous glucose monitoring → LDL cholesterol

Continuous glucose monitoring → LDL cholesterol

Evidence Intelligence™
EvidenceScore™
Emerging
Score 59 · Based on 1 study
ImpactScore™
100
Very Positive
ConsistencyScore™
unclear
Not enough independent studies
Supporting studies: Based on 1 study
Add to Evidence Tracker

Triglycerides

Continuous glucose monitoring → Triglycerides

Continuous glucose monitoring → Triglycerides

Evidence Intelligence™
EvidenceScore™
Emerging
Score 59 · Based on 1 study
ImpactScore™
50
Neutral
ConsistencyScore™
unclear
Not enough independent studies
Supporting studies: Based on 1 study
Add to Evidence Tracker

Body weight

Self-monitoring of blood glucose → Body weight

Self-monitoring of blood glucose → Body weight

Evidence Intelligence™
EvidenceScore™
Emerging
Score 59 · Based on 1 study
ImpactScore™
50
Neutral
ConsistencyScore™
unclear
Not enough independent studies
Supporting studies: Based on 1 study
Add to Evidence Tracker

Fasting Plasma Glucose (FPG)

Self-monitoring of blood glucose → Fasting Plasma Glucose (FPG)

Self-monitoring of blood glucose → Fasting Plasma Glucose (FPG)

Evidence Intelligence™
EvidenceScore™
Emerging
Score 59 · Based on 1 study
ImpactScore™
50
Neutral
ConsistencyScore™
unclear
Not enough independent studies
Supporting studies: Based on 1 study
Add to Evidence Tracker

HbA1c

Self-monitoring of blood glucose → HbA1c

Self-monitoring of blood glucose → HbA1c

Evidence Intelligence™
EvidenceScore™
Strong
Score 79 · Based on 3 studies
ImpactScore™
58
Slightly Positive
ConsistencyScore™
35
mixed
Supporting studies: Based on 3 studies
Add to Evidence Tracker

Evidence Library

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evidence suggest

Evidence Suggest

  • HbA1c levels decreased by 0.67% with real-time monitoring.
  • Fasting plasma glucose decreased by 1.2 mmol/L.
  • Body weight reduced by 7.4 kg on average.
who this applies

Who this applies to

  • Adults with type 2 diabetes
  • Individuals seeking to improve blood glucose control
keep in mind

Keep in Mind

  • Results may not apply to all diabetes populations.
  • Further studies are needed to confirm findings.
  • Self-reported adherence may not reflect actual behavior.
between the lines

Between the Lines

  • Insufficient power to achieve statistical significance for some outcomes
  • Potential biases in self-reported adherence
  • Limited generalizability due to specific population characteristics

Evidence Library

Build your evidence library

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Connected Evidence

Explore related studies, evidence collections, and research questions.

Relationships organized using the Dediabetes Evidence Intelligence™ framework.

This study contributes to evidence on Insulin Delivery Systems and HbA1c, Self-monitoring of blood glucose and HbA1c.

Related evidence relationships

Explore in Evidence Explorer

This study contributes to the evidence on the following intervention-outcome relationships.

Questions answered by this study

Generated from the study's connected evidence using Evidence Intelligence™.

Does Insulin Delivery Systems improve HbA1c?

Strong Evidence

Insulin Delivery Systems appears to improve HbA1c.

ConsistencyScore™: Results are consistent across studies.

Ranked evidence signals

  1. 1

    HbA1c

    EvidenceScore™ Strong | EvidenceScore™ 85.5 | strong positive | ConsistencyScore™ Consistent | 1 study

Why this answer: This answer is based on 14 supporting studies with consistent results and a positive effect signal.

Limitations

  • Population details are unavailable.
14 supporting studiesUpdated: Aug 2026

Does Insulin Delivery Systems improve fasting glucose?

Strong Evidence

Insulin Delivery Systems may improve Fasting Glucose.

ConsistencyScore™: Results are consistent across studies.

Ranked evidence signals

  1. 1

    Fasting Plasma Glucose (FPG)

    EvidenceScore™ Emerging | EvidenceScore™ 59.0 | neutral | ConsistencyScore™ Unclear | 1 study

Why this answer: This answer is based on 5 supporting studies with consistent results and a positive effect signal.

Limitations

  • Population details are unavailable.
5 supporting studiesUpdated: Aug 2026

Does Insulin Delivery Systems affect body weight?

Moderate Evidence

Current evidence does not show a clear benefit of Insulin Delivery Systems for Body Weight.

ConsistencyScore™: Results are mixed and should be interpreted cautiously.

Evidence caveat: The available evidence reports mixed findings.

Ranked evidence signals

  1. 1

    Body weight

    EvidenceScore™ Moderate | EvidenceScore™ 69.0 | neutral | ConsistencyScore™ Mixed | 1 study

Why this answer: This answer is cautious because the available studies report mixed findings.

Limitations

  • Only a small number of supporting studies are available.
  • Population details are unavailable.
2 supporting studiesUpdated: Aug 2026

Does Insulin Delivery Systems improve adipokine and angiogenic markers?

Moderate Evidence

Insulin Delivery Systems appears to improve Adipokine and Angiogenic Markers.

ConsistencyScore™: Results are consistent across studies.

Ranked evidence signals

  1. 1

    LDL cholesterol

    EvidenceScore™ Emerging | EvidenceScore™ 59.0 | strong positive | ConsistencyScore™ Unclear | 1 study

  2. 2

    Triglycerides

    EvidenceScore™ Emerging | EvidenceScore™ 59.0 | neutral | ConsistencyScore™ Unclear | 1 study

Why this answer: This answer is based on a small number of supporting studies and should be interpreted cautiously.

Limitations

  • Only a small number of supporting studies are available.
  • Population details are unavailable.
2 supporting studiesUpdated: Aug 2026
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