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CGM for insulinoma screening: a prospective and observational case-control study
Jingyuan Ma1, Xinyu Huang2, Jungong Zhao3
1Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University, Shanghai Clinical Medical Center of Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Institute of Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai, China.
Continuous glucose monitoring (CGM) offers a cost-effective outpatient screening for insulinoma. A coefficient of variation (CV) above 19% effectively identifies potential cases, improving diagnostic accessibility.
Area of Science:
- Endocrinology
- Oncology
- Medical Diagnostics
Background:
- Insulinoma diagnosis traditionally relies on the 72-hour fasting test (IRI), which requires hospitalization and incurs significant costs.
- There is a critical need for accessible, cost-effective outpatient screening methods for insulinoma.
- Continuous glucose monitoring (CGM) is established for managing hyperglycemia in diabetes.
Purpose of the Study:
- To evaluate the utility of CGM as a screening tool for insulinoma in an outpatient setting.
- To assess the diagnostic performance of CGM-derived metrics for identifying insulinoma.
Main Methods:
- A prospective, single-center study involving 28 insulinoma patients and 25 functional hypoglycemia controls.
- Analysis of continuous glucose monitoring (CGM) data, focusing on the coefficient of variation (CV).
- Receiver operating characteristic (ROC) curve analysis to determine optimal CV cutoff points.
Main Results:
- The coefficient of variation (CV) derived from CGM demonstrated strong diagnostic capability (Area Under Curve = 0.914).
- A CV cutoff of 19% achieved 82.1% sensitivity and 80% specificity for insulinoma screening.
- Higher CV values correlated with insulinomas located in the pancreatic head, elevated Ki-67, and larger tumor size.
Conclusions:
- CGM presents a valuable, non-invasive tool for outpatient insulinoma screening, complementing its use in diabetes management.
- A CV threshold of 19% derived from CGM data is highly effective for identifying patients who require further investigation for insulinoma.
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