FILE: CGM · OPENED JUL 18 2026 · REV 1 LIVE FILE

CGM Research Desk

What the evidence shows about CGM in non-diabetics and whether it changes behavior — rated by strength of evidence, updated as new studies publish.

continuous glucose monitoring hub Evidence files: HRV·RHR·Sleep·VO2 Max·Wearable ECG·Recovery·Activity·Blood Oxygen·Respiratory Rate·Stress·Temperature

Does continuous glucose monitoring provide meaningful metabolic or dietary insight for people without diabetes?

KnowYourPrime evidence rating Established Strong, consistent evidence supports the claim.

Continuous glucose monitoring in people without diabetes reveals glycemic patterns that reflect diet, lifestyle, and metabolic physiology.

Anchor-grade evidence affirms the core relationship.
Multiple supporting studies are consistent with the core relationship.

What would change this rating

A new core-hitting conflicting study, a retraction of an anchor, or a failed replication would lower this rating.

8 studies scored · 2 anchor · 6 supporting · Last reviewed Sep 4, 2026

Does using a CGM change behavior in a way that improves glycemic outcomes for people without diabetes?

KnowYourPrime evidence rating Emerging Evidence currently favors the claim, but more confirmation is needed.

Using a continuous glucose monitor changes eating or exercise behavior in ways that measurably improve glycemic control for non-diabetic users.

Anchor-grade evidence affirms the core relationship.
An anchor study is present but its own reported finding does not cleanly affirm this claim, so it does not count toward the Established threshold.
The claim rests on a single anchor whose finding affirms it; a second independent affirming anchor is needed to reach Established.

2 studies scored · 2 anchor · Last reviewed Sep 4, 2026

Studies in Pool10

Claims Rated2

Last PubMed SyncSep 4, 2026

Next Scheduled ReviewSep 11, 2026

1 RCTs 8 observational 1 other

MAINTAINED BY The KnowYourPrime Research Desk · reviewed against new evidence on a rolling basis

Evidence for: Continuous glucose monitoring in people without diabetes reveals glycemic patterns that reflect diet, lifestyle, and metabolic physiology.

8 scored

Anchor Studies2

Continuous Glucose Measurements for Diet Monitoring in Healthy Adults.

Journal

Journal of diabetes science and technology · 2026

PMID

40792561

Citations

Study type

Observational study

Sample size

27 women

humansfemale

Associations of continuous glucose monitor derived time in range and glycaemic variability with diet lifestyle and demographics.

Journal

Nature communications · 2026

PMID

41896538

Citations

Study type

Primary study

Sample size

[ not stated in the abstract ]

femalehumans

Supporting Studies6

Beyond scalar metrics: functional data analysis of postprandial continuous glucose monitoring in the AEGIS study.

Journal

BMC medical research methodology · 2026

PMID

41580604

Citations

Study type

Primary study

Sample size

[ not stated in the abstract ]

humanscontinuous glucose monitoring

Continuous Glucose Monitoring-Derived Glycemic Profiles in Adolescents With Obesity Without Diabetes.

Journal

Journal of diabetes science and technology · 2026

PMID

41928639

Citations

Study type

Primary study

Sample size

[ not stated in the abstract ]

humansadolescent

Use of Continuous Glucose Monitoring With Machine Learning to Identify Metabolic Subphenotypes and Inform Precision Lifestyle Changes.

Journal

Journal of diabetes science and technology · 2026

PMID

41978474

Citations

Study type

Review

Sample size

[ not stated in the abstract ]

humanscontinuous glucose monitoring

A Wavelet AI Algorithm to Automatically Identify Postprandial Glucose Responses From Continuous Glucose Monitoring Profiles in People Without Diabetes.

Journal

Journal of diabetes science and technology · 2026

PMID

41905765

Citations

Study type

Primary study

Sample size

n = 65

humanscontinuous glucose monitoring

Performance of continuous glucose monitoring-based meal detection algorithms in young healthy adults.

Journal

Scientific reports · 2026

PMID

42156879

Citations

Study type

Primary study

Sample size

[ not stated in the abstract ]

humanscontinuous glucose monitoring

Beyond Euglycemia: Case Studies Using Continuous Glucose Monitoring in Elite Athletes Without Diabetes During Record Athletic Events.

Journal

Sensors (Basel, Switzerland) · 2026

PMID

41829603

Citations

Study type

Primary study

Sample size

[ not stated in the abstract ]

humanscontinuous glucose monitoring

Evidence for: Using a continuous glucose monitor changes eating or exercise behavior in ways that measurably improve glycemic control for non-diabetic users.

2 scored

Anchor Studies2

Comparative effects of continuous glucose monitoring-informed and traditional interval-based carbohydrate refueling protocols on endurance exercise responses: an exploratory study.

Journal

Journal of the International Society of Sports Nutrition · 2025

PMID

40957601

Citations

Study type

Randomized controlled trial

Sample size

[ not stated in the abstract ]

adulthumans

Continuous Glucose Monitoring-Derived Glucose Metrics Over Time in Physically Active Adults Without Diabetes Using a Commercial Continuous Glucose Monitoring Application.

Journal

Journal of diabetes science and technology · 2026

PMID

41773465

Citations

Study type

Primary study

Sample size

[ not stated in the abstract ]

humanscontinuous glucose monitoring

01On Our Desk

In Progress

What we're reading right now

A study only enters a claim's evidence once it's read in full and weighed against what's already in file.

Identified

Queued

Under Review

Extracted

Pending Consensus

Continuous Glucose Monitoring Reveals Glycemic Patterns Associated with End-Organ Alterations in Early Dysglycemia

Identified

medRxiv · 2026·Large non-diabetic AI-READI cohort testing whether CGM-derived glycemic heterogeneity relates to subclinical end-organ alterations; directly relevant to the metabolic-insight claim if it graduates to peer review.

PreprintNot peer reviewed. Does not influence any evidence rating until critically evaluated.

How to Demonstrate the Glucose Specificity of a Non-Invasive CGM: A Case Study of the SKAMo-2 Clinical Trial and Neogly™

Identified

medRxiv · 2026·Case study on demonstrating glucose specificity of a non-invasive CGM signal; relevant to measurement validity underlying CGM claims should a measurement-validity claim be added to this desk.

PreprintNot peer reviewed. Does not influence any evidence rating until critically evaluated.

Grounding Health AI: Architecture and Evaluation of a Domain-Expert Metabolic Health Agent

Identified

medRxiv · 2026·Evaluates an AI agent generating CGM/meal-based metabolic reports and documents fabricated derived metrics from foundation models; tangential to current claims but worth monitoring given growing AI-CGM interpretation tools.

PreprintNot peer reviewed. Does not influence any evidence rating until critically evaluated.

Forecasting glucose from CGM and sparse meal logs with a residual-gated multimodal transformer

Identified

medRxiv · 2026·A multimodal transformer forecasting CGM trajectories from sparse meal logs in free-living settings, directly on-topic for the metabolic-insight claim's CGM-diet relationship; worth evaluating once peer-reviewed for whether it reports a real correlation finding rather than just a forecasting-model architecture.

PreprintNot peer reviewed. Does not influence any evidence rating until critically evaluated.

02Research Log

JUL 18 2026

doi:10.1080/15502783.2025.2561670 entered as anchor on the behavior change claim.

doi:10.1177/19322968261426376 entered as anchor on the behavior change claim.

doi:10.1038/s41467-026-70308-3 entered as anchor on the metabolic insight claim.

doi:10.1038/s41598-026-50699-5 entered as supporting on the metabolic insight claim.

doi:10.1177/19322968251361555 entered as anchor on the metabolic insight claim.

doi:10.1177/19322968261427488 entered as supporting on the metabolic insight claim.

doi:10.1177/19322968261427499 entered as supporting on the metabolic insight claim.

doi:10.1177/19322968261431860 entered as supporting on the metabolic insight claim.

doi:10.1186/s12874-025-02748-2 entered as supporting on the metabolic insight claim.

doi:10.3390/s26051624 entered as supporting on the metabolic insight claim.

04Revision Log

JUL 18 2026

behavior change: opened at Emerging

Opened at Emerging by rule from the current evidence for: Wearing a continuous glucose monitor leads to improved glycemic control through behavior change in non-diabetic users..

JUL 18 2026

metabolic insight: opened at Established

Opened at Established by rule from the current evidence for: Continuous glucose monitor metrics correlate with dietary intake and metabolic health markers in non-diabetic users..

This page interprets published research. It is not medical advice. The KnowYourPrime Research Desk rates the evidence supporting a claim, not the claim itself. It does not diagnose or treat. Talk to your own doctor about your health.