Research Summary
Analyzed using Evidence Intelligence™

RT-CGM Enhances Glycemic Control in Prediabetes

Last updated September 9, 2026

Key finding

The RT-CGM group demonstrated significantly greater improvements in HbA1c compared to controls at both 1-year (p=0.007) and 2-year (p=0.033) follow-ups.

This study evaluated the impact of real-time continuous glucose monitoring (RT-CGM) on glycemic control in prediabetes. The RT-CGM group showed significant improvements in HbA1c compared to controls.

Quick read

Study at a glance

The essential study design details in one scan.

EvidenceScore™

Moderate

Study type

RCTs

Follow-up

Long-Term (1–5 y)

Risk of bias

Some Concerns

Save research, organize studies, and quickly find important evidence again.

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 (RT-CGM) on glycemic control in prediabetes. The RT-CGM group showed significant improvements in HbA1c compared to controls.

Clinical relevance

Improving glycemic control in prediabetes is crucial for preventing the progression to type 2 diabetes. This study highlights the potential of RT-CGM as a valuable tool in diabetes health education, suggesting that integrating technology into lifestyle interventions can lead to better health outcomes for at-risk populations.

Keep in mind

The study may have limited generalizability due to specific inclusion criteria. Potential confounding variables were not fully controlled. The sample size and demographic diversity were not specified.

Published in

Journal Reference

Publication details and source links for this paper.

Yuqi M, Sisi D, Wei X, Minfang W, Yeran J. Incorporating Real-Time Continuous Glucose Monitoring into Diabetes Health Education Improves Glycemic Control in Prediabetes. Diabetes, Metabolic Syndrome and Obesity. 2025;18:1939-1948. doi:10.2147/DMSO.S511187

Main Effects

The RT-CGM group demonstrated a significant reduction in HbA1c by -0.49% at 1-year follow-up (p=0.007).

The RT-CGM group also showed a significant reduction in HbA1c at 2-year follow-up (p=0.033).

No significant differences were observed in fasting plasma glucose, BMI, lipid profiles, or uric acid levels between groups.

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 and BMI, Fasting Plasma Glucose (FPG), HbA1c, and 2 more.

Primary intervention

Continuous glucose monitoring

Primary outcomes

  • BMI
  • Fasting Plasma Glucose (FPG)
  • HbA1c

Evidence relationships

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

5
Evidence pairs
5
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: 72

5

Related topics

5

Evidence pairs

1920

Related studies

High relevance in at least one topic

Why it is useful

  • Contributes to 5 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

Add related evidence to your Evidence Tracker

Save studies and evidence pages, organize your personal Evidence Tracker, and keep the research you care about in one place.

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 Body Mass Index

Save evidence

Core evidence

Study findings

The primary outcomes reported in this study.

BMI

Continuous glucose monitoring → BMI

Continuous glucose monitoring → BMI

Evidence Intelligence™
EvidenceScore™
Strong
Score 79 · Based on 3 studies
ImpactScore™
67
Slightly Positive
ConsistencyScore™
67
generally_consistent
Supporting studies: Based on 3 studies
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™
Strong
Score 79 · Based on 3 studies
ImpactScore™
67
Slightly Positive
ConsistencyScore™
67
generally_consistent
Supporting studies: Based on 3 studies
Add to Evidence Tracker

HbA1c

Continuous glucose monitoring → HbA1c

Continuous glucose monitoring → HbA1c

Evidence Intelligence™
EvidenceScore™
85
Strong
ImpactScore™
83
Positive
ConsistencyScore™
83
consistent
Supporting studies: Based on 12 studies
Add to Evidence Tracker

lipid profiles

Continuous glucose monitoring → lipid profiles

Continuous glucose monitoring → lipid profiles

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

Uric Acid

Continuous glucose monitoring → Uric Acid

Continuous glucose monitoring → Uric Acid

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

Evidence Library

Build your evidence library

Save research, organize studies, and quickly find important evidence again.

evidence suggest

Evidence Suggest

  • RT-CGM led to a significant HbA1c reduction of -0.49% at 1 year.
  • No significant changes were observed in fasting plasma glucose levels.
  • Control group showed no significant improvement in HbA1c.
who this applies

Who this applies to

  • Adults diagnosed with prediabetes.
  • Individuals engaged in diabetes health education programs.
keep in mind

Keep in Mind

  • Results may not apply to populations outside the study's demographic.
  • The long-term effects of RT-CGM on diabetes prevention need further investigation.
  • The study did not measure all potential confounding factors affecting outcomes.
between the lines

Between the Lines

  • The study may have limited generalizability due to specific inclusion criteria.
  • Potential confounding variables were not fully controlled.
  • The sample size and demographic diversity were not specified.

Evidence Library

Build your evidence library

Save research, organize studies, and quickly find important evidence again.

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, Insulin Delivery Systems and Body Mass Index.

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 lower HbA1c?

Strong Evidence

Insulin Delivery Systems appears to lower HbA1c.

ConsistencyScore™: Results are consistent across studies.

Ranked evidence signals

  1. 1

    HbA1c

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

Why this answer: This answer is based on 20 supporting studies with consistent results and a positive effect signal.

20 supporting studies

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™ Strong | EvidenceScore™ 79.0 | weak positive | ConsistencyScore™ Generally Consistent | 1 study

Why this answer: This answer is based on 9 supporting studies with consistent results and a positive effect signal.

9 supporting studies

Does Insulin Delivery Systems affect body mass index?

Strong Evidence

Insulin Delivery Systems may affect body mass index.

ConsistencyScore™: Results are generally consistent across studies.

Ranked evidence signals

  1. 1

    BMI

    EvidenceScore™ Strong | EvidenceScore™ 79.0 | weak positive | ConsistencyScore™ Generally Consistent | 1 study

Why this answer: This answer is based on 3 supporting studies with generally consistent results and a positive effect signal.

3 supporting studies

Does Insulin Delivery Systems improve uric acid levels?

Emerging Evidence

Current evidence does not show a clear benefit of Insulin Delivery Systems for uric acid levels.

ConsistencyScore™: Consistency cannot yet be determined from the available evidence.

Ranked evidence signals

  1. 1

    Uric Acid

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

Why this answer: This answer is based on a single supporting study.

Limitations

  • Only one supporting study is available.
1 supporting study
Learn how Evidence Intelligence™ works

Next steps

Continue your research

Choose a next path through related evidence topics, Evidence Explorer views, and research summaries.

No ads. No tracking.

Focused on evidence, not advertising.

Secure & private

Your data is always protected.

Always up to date

New studies added every day.