Resumen de Investigación
Analyzed using Evidence Intelligence™

CGM enhances glycaemic control in chronic pancreatitis diabetes.

Última actualización 12 de julio de 2026

Key finding

mean difference 7.46%, 95% CI 1.67% to 13.25%; p = 0.01

This study evaluated the impact of continuous glucose monitoring (CGM) on glycaemic control in patients with chronic pancreatitis and insulin-treated diabetes, finding significant improvements in time in range.

Quick read

Study at a glance

The essential study design details in one scan.

EvidenceScore™

Moderate

Study type

RCTs

Follow-up

Short-Term (≤3 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 continuous glucose monitoring (CGM) on glycaemic control in patients with chronic pancreatitis and insulin-treated diabetes, finding significant improvements in time in range.

Clinical relevance

Improved glycaemic control is crucial for patients with chronic pancreatitis and diabetes, as it can reduce the risk of complications associated with poor glucose management. This study suggests that continuous glucose monitoring could be a valuable tool in managing diabetes for these patients, potentially leading to better health outcomes and quality of life.

Keep in mind

Effectiveness of interventions was unclear for some outcomes. The study may not be generalizable to all diabetes populations. Sample size and demographic details were not specified.

Published in

Referencia de la Revista

Publication details and source links for this paper.

Line D, Simon LC, Peter BS, et al. Continuous glucose monitoring improves glycaemic control in patients with chronic pancreatitis and insulin-treated diabetes. Diabetes, Obesity & Metabolism. 2025;27(6):3379-3388. doi:10.1111/dom.16356

Efectos Principales

CGM improved time in range (3.9–10.0 mmol/L) by 7.46% (p = 0.01).

CGM reduced time above range (>10.0 mmol/L) by 6.55% (p = 0.04).

CGM reduced time below range (<3.9 mmol/L) by 0.91% (p = 0.04).

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 Hypoglycemia events, Percentage of time spent with sensor glucose levels <3.9 mmol/L, Time above range, and 1 more.

Primary intervention

Continuous glucose monitoring

Primary outcomes

  • Hypoglycemia events
  • Percentage of time spent with sensor glucose levels <3.9 mmol/L
  • Time above range

Evidence relationships

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

5
Evidence pairs
5
Relationships
3
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

3

Related topics

5

Evidence pairs

373

Related studies

High relevance in at least one topic

Why it is useful

  • Contributes to 5 evidence relationships
  • Includes primary outcome data
  • Linked to 3 direct semantic evidence topics

Topic contributions

Evidence topic

Contributes evidence

Evidence topic

Contributes evidence

Evidence topic

Contributes evidence

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Evidencia principal

Relación de evidencia

Insulin Delivery Systems and CGM Time in Range

Evidencia relacionada

Relación de evidencia

Insulin Delivery Systems and Hypoglycemia

Guardar evidencia

Tema de evidencia

Hypoglycemia

Guardar evidencia

Core evidence

Study findings

The primary outcomes reported in this study.

Hypoglycemia events

Continuous glucose monitoring → Hypoglycemia events

Continuous glucose monitoring → Hypoglycemia events

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

Percentage of time spent with sensor glucose levels <3.9 mmol/L

Continuous glucose monitoring → Percentage of time spent with sensor glucose levels <3.9 mmol/L

Continuous glucose monitoring → Percentage of time spent with sensor glucose levels <3.9 mmol/L

Evidence Intelligence™
EvidenceScore™
Emerging
Score 59 · Based on 1 study
ImpactScore™
25
Negative
ConsistencyScore™
unclear
Not enough independent studies
Supporting studies: Based on 1 study
Add to Evidence Tracker

Time above range

Continuous glucose monitoring → Time above range

Continuous glucose monitoring → Time above range

Evidence Intelligence™
EvidenceScore™
79
Strong
ImpactScore™
42
Slightly Negative
ConsistencyScore™
35
mixed
Supporting studies: Based on 3 studies
Add to Evidence Tracker

Time in range

Continuous glucose monitoring → Time in range

Continuous glucose monitoring → Time in range

Evidence Intelligence™
EvidenceScore™
83
Strong
ImpactScore™
83
Positive
ConsistencyScore™
83
consistent
Supporting studies: Based on 6 studies
Add to Evidence Tracker

Hypoglycemia events

Self-monitoring of blood glucose → Hypoglycemia events

Self-monitoring of blood glucose → Hypoglycemia events

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

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evidence suggest

La Evidencia Sugiere

  • CGM showed a significant increase in time in range by 7.46%.
  • CGM reduced time above range by 6.55%.
  • CGM reduced time below range by 0.91%.
who this applies

A quién se aplica

  • Patients with chronic pancreatitis.
  • Individuals with insulin-treated diabetes.
keep in mind

Tener en Cuenta

  • Results may not apply to patients not on insulin.
  • Further research is needed to confirm findings in larger populations.
  • The study design may limit the applicability of results to broader diabetes management.
between the lines

Entre Líneas

  • Effectiveness of interventions was unclear for some outcomes.
  • The study may not be generalizable to all diabetes populations.
  • Sample size and demographic details were not specified.

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 CGM Time in Range, Insulin Delivery Systems and CGM Time in Range.

Relaciones de evidencia relacionadas

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 cgm time in range?

Strong Evidence

Insulin Delivery Systems may improve CGM Time in Range.

ConsistencyScore™: Results are generally consistent across studies.

Ranked evidence signals

  1. 1

    Time in range

    EvidenceScore™ Strong | EvidenceScore™ 83.4 | moderate positive | ConsistencyScore™ Consistent | 1 study

  2. 2

    Time above range

    EvidenceScore™ Strong | EvidenceScore™ 78.6 | weak negative | ConsistencyScore™ Mixed | 1 study

Why this answer: This answer is based on 17 supporting studies with generally consistent results and a positive effect signal.

Limitations

  • Population details are unavailable.
17 supporting studiesUpdated: Jul 2026

Does Insulin Delivery Systems affect hypoglycemia?

Strong Evidence

Insulin Delivery Systems may improve Hypoglycemia.

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

Evidence caveat: The available evidence reports mixed findings.

Ranked evidence signals

  1. 1

    Hypoglycemia events

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

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

Limitations

  • Population details are unavailable.
6 supporting studiesUpdated: Jul 2026

Does Self-monitoring of blood glucose affect hypoglycemia events?

Emerging Evidence

Current evidence does not show a clear benefit of Self-monitoring of blood glucose for Hypoglycemia events.

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

Ranked evidence signals

  1. 1

    Hypoglycemia events

    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.
  • Consistency cannot yet be determined.
  • Population details are unavailable.
1 supporting studyUpdated: Jul 2026

Does Continuous glucose monitoring improve percentage of time spent with sensor glucose levels <3.9 mmol/l?

Emerging Evidence

Continuous glucose monitoring may worsen Percentage of time spent with sensor glucose levels <3.9 mmol/L or be associated with harm.

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

Ranked evidence signals

  1. 1

    Percentage of time spent with sensor glucose levels <3.9 mmol/L

    EvidenceScore™ Emerging | EvidenceScore™ 59.0 | moderate negative | ConsistencyScore™ Unclear | 1 study

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

Limitations

  • Only one supporting study is available.
  • Consistency cannot yet be determined.
  • Population details are unavailable.
1 supporting studyUpdated: Jul 2026
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