- EvidenceScore™
- 68
- Moderate
- ImpactScore™
- 100
- Very Positive
- ConsistencyScore™
- 100
- consistent
Hybrid closed-loop artificial pancreas system improves blood sugar control better than insulin injections in hospitalized type 1 diabetes
Last updated May 15, 2026
Key finding
A 28-year-old woman with long-standing type 1 diabetes had better blood sugar control and fewer low blood sugar episodes when using a hybrid closed-loop artificial pancreas system compared to multiple insulin injections during a hospital stay.
This case report examined a woman with type 1 diabetes who switched between using an artificial pancreas system (which automatically adjusts insulin delivery) and traditional insulin injections while hospitalized. The artificial pancreas kept blood sugar in the target range 87% of the time compared to only 65% with injections, and caused fewer dangerous low blood sugar events.
Quick read
Study at a glance
The essential study design details in one scan.
EvidenceScore™
Low
Study type
non-randomized clinical trial (non-RCT or NRCT)
Follow-up
Short-Term (≤3 mo)
Risk of bias
High Risk
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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
A 28-year-old woman with long-standing type 1 diabetes had better blood sugar control and fewer low blood sugar episodes when using a hybrid closed-loop artificial pancreas system compared to multiple insulin injections during a hospital stay.
Published in
Journal Reference
Publication details and source links for this paper.
Li S, Lv P, Lu H, et al. Initiation of Hybrid Closed-Loop Artificial Pancreas System Improves Glycemic Control in a Hospitalized Type 1 Diabetes: A Case Report and Review. Case Rep Endocrinol. 2026;2026:8925266. doi:10.1155/crie/8925266
Main Effects
↑ Time in target range (3.9-10 mmol/L): increased from 65% to 87%
↓ Severe hypoglycemia: reduced from 1.8% to 0.4% of time
↓ Mean blood glucose: decreased from 8.03 to 6.93 mmol/L
Evidence network
How this study fits
Understand where this research contributes within the broader evidence network.
Evidence Context
This study contributes evidence to Hybrid closed-loop system and Blood glucose, Glucose variability, Hypoglycemia events, and 3 more.
This study contributes evidence to
Primary intervention
Hybrid closed-loop system
Primary outcomes
- Blood glucose
- Glucose variability
- Hypoglycemia events
Evidence topics
Primary intervention
Primary outcomes
Evidence relationships
Intervention and outcome relationships this study adds to the evidence network.
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.
3
Related topics
6
Evidence pairs
373
Related studies
Why it is useful
- Contributes to 6 evidence relationships
- Uses a randomized study design signal
- 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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Primary evidence
Evidence relationship
Insulin Delivery Systems and CGM Time in Range
Related evidence
Evidence relationship
Insulin Delivery Systems and Hypoglycemia
Save evidence
Evidence relationship
Insulin Delivery Systems and Glucose Variability
Save evidence
Core evidence
Study findings
The primary outcomes reported in this study.
Glucose variability
Hybrid closed-loop system → Glucose variability
Hybrid closed-loop system → Glucose variability
- EvidenceScore™
- 69
- Moderate
- ImpactScore™
- 73
- Positive
- ConsistencyScore™
- 75
- consistent
Hypoglycemia events
Hybrid closed-loop system → Hypoglycemia events
Hybrid closed-loop system → Hypoglycemia events
- EvidenceScore™
- 75
- Moderate
- ImpactScore™
- 65
- Slightly Positive
- ConsistencyScore™
- 67
- generally_consistent
Time above range
Hybrid closed-loop system → Time above range
Hybrid closed-loop system → Time above range
- EvidenceScore™
- 68
- Moderate
- ImpactScore™
- 86
- Very Positive
- ConsistencyScore™
- 100
- consistent
Time below range
Hybrid closed-loop system → Time below range
Hybrid closed-loop system → Time below range
- EvidenceScore™
- 65
- Moderate
- ImpactScore™
- 81
- Positive
- ConsistencyScore™
- 67
- generally_consistent
- EvidenceScore™
- 81
- Strong
- ImpactScore™
- 87
- Very Positive
- ConsistencyScore™
- 83
- consistent
Evidence Library
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Evidence Suggest
- HCL system significantly increased time in range compared to multiple daily injections (87% vs 65%, p<0.05)
- Automated insulin delivery reduced severe low blood sugar events (glucose <3.0 mmol/L) by 78%
- Blood sugar fluctuations were smoother throughout the day and night, especially after meals and during sleep
Who this applies to
This case involved a 28-year-old woman with long-standing type 1 diabetes (17 years), elevated HbA1c (11.9%), history of poor glucose control, and frequent hypoglycemia. The findings may be most relevant for adults with type 1 diabetes who have difficulty achieving stable glucose control with insulin injections, particularly those experiencing frequent low blood sugar episodes.
Keep in Mind
This is a single case report, not a controlled study with multiple participants, so the results should be interpreted cautiously. The patient was hospitalized and closely monitored, which may not reflect typical outpatient care. The Android-based hybrid closed-loop system used is a do-it-yourself (DIY) system that is not commercially approved or regulated in China, and requires significant technical knowledge to set up and maintain. The cost of insulin pumps and CGM devices is not covered by medical insurance in China, limiting accessibility for most patients.
Between the Lines
- Case report of only one patient - results may not apply to all people with type 1 diabetes
- Short observation period of just 7 days for each treatment method
- Patient was hospitalized, so results may differ in outpatient or real-world settings
- AndroidAPS system is not commercially approved in China and requires technical expertise to set up
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 Hypoglycemia.
Related evidence relationships
Explore in Evidence ExplorerThis study contributes to the evidence on the following intervention-outcome relationships.
Insulin Delivery Systems → CGM Time in Range
Devices & Technology
- EvidenceScore™
- 81
- Strong
- ImpactScore™
- 87
- Very Positive
- ConsistencyScore™
- 83
- consistent
Insulin Delivery Systems → Hypoglycemia
Devices & Technology
- EvidenceScore™
- 75
- Moderate
- ImpactScore™
- 65
- Slightly Positive
- ConsistencyScore™
- 67
- generally_consistent
Included in these evidence collections
Curated evidence collections and hubs this study is part of.
CGM Time in Range Evidence Hub
All studies measuring CGM Time in Range
Measures CGM Time in Range as a key outcome.
Insulin Delivery Systems Evidence Hub
All studies on Insulin Delivery Systems
Contributes to Insulin Delivery Systems evidence base.
Hypoglycemia Evidence Hub
All studies measuring Hypoglycemia
Measures Hypoglycemia as a key outcome.
Explore more in Evidence Explorer
Jump to pre-filtered views in Evidence Explorer.
All studies on Hybrid closed-loop system and Time in range
8 results
All studies on Hybrid closed-loop system and Hypoglycemia events
3 results
All studies on Hybrid closed-loop system
8 results
All studies measuring Time in range
8 results
All studies measuring Hypoglycemia events
3 results
Questions answered by this study
Generated from the study's connected evidence using Evidence Intelligence™.
Does Insulin Delivery Systems improve cgm time in range?
Insulin Delivery Systems may improve CGM Time in Range.
ConsistencyScore™: Results are generally consistent across studies.
Ranked evidence signals
- 1
Time in range
EvidenceScore™ Strong | EvidenceScore™ 81.0 | strong positive | ConsistencyScore™ Consistent | 1 study
- 2
Time above range
EvidenceScore™ Moderate | EvidenceScore™ 68.4 | strong positive | ConsistencyScore™ Consistent | 1 study
- 3
Time below range
EvidenceScore™ Moderate | EvidenceScore™ 64.6 | moderate positive | ConsistencyScore™ Generally Consistent | 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.
Does Insulin Delivery Systems affect hypoglycemia?
Insulin Delivery Systems may improve Hypoglycemia.
ConsistencyScore™: Results are mixed and should be interpreted cautiously.
Ranked evidence signals
- 1
Hypoglycemia events
EvidenceScore™ Moderate | EvidenceScore™ 74.6 | weak positive | ConsistencyScore™ Generally Consistent | 1 study
Why this answer: This answer is cautious because the available studies report mixed findings.
Limitations
- Population details are unavailable.
Does Insulin Delivery Systems improve glucose variability?
Insulin Delivery Systems may improve Glucose Variability.
ConsistencyScore™: Results are generally consistent across studies.
Ranked evidence signals
- 1
Glucose variability
EvidenceScore™ Moderate | EvidenceScore™ 69.4 | moderate positive | ConsistencyScore™ Consistent | 1 study
Why this answer: This answer is based on 7 supporting studies with generally consistent results and a positive effect signal.
Limitations
- Population details are unavailable.
Does Insulin Delivery Systems improve fasting glucose?
Insulin Delivery Systems appears to improve Fasting Glucose.
ConsistencyScore™: Results are consistent across studies.
Ranked evidence signals
- 1
Blood glucose
EvidenceScore™ Moderate | EvidenceScore™ 67.6 | strong positive | ConsistencyScore™ Consistent | 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.
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