Clinical Efficacy Evaluation of a Continuous Glucose Monitoring-Guided Forecasting Algorithm to Mitigate Postbariatric Hypoglycemia: A Randomized Controlled Trial.

Diabetes Technol TherMar 14, 2026 (epub)

Arlette Journeaux, Selina Zbinden, Francesco Prendin et al.

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In 30 seconds

This randomized controlled trial evaluated whether a continuous glucose monitoring (CGM)-guided forecasting algorithm could reduce postbariatric hypoglycemia during a standardized meal test in 59 people after Roux-en-Y gastric bypass. Participants received 5 g of glucose either at a predictive alert or after plasma glucose fell below 3.0 mmol/L. Hypoglycemia incidence (<3.0 mmol/L) was 31% with predictive alerts and 44% with the control approach (P = 0.30); nadir glucose and time below glucose thresholds also did not differ significantly. The authors concluded that the 5 g preventive dose was insufficient.

Key findings

  • Hypoglycemia incidence (<3.0 mmol/L) was 31% in the intervention group and 44% in the control group (P = 0.30).
  • Nadir glucose and time spent below 3.9 and 3.0 mmol/L did not differ significantly between groups.
  • Extrapolation from previously published glucose dose-response data suggested that a 10 g preventive dose could reduce hypoglycemia incidence to 9%.

Why it matters

Postbariatric hypoglycemia can pose health risks and impair quality of life, while therapeutic options are limited. This trial found no significant benefit from giving 5 g of glucose at a CGM forecasting alert rather than waiting for glucose to fall below the specified threshold. The findings help distinguish the promise of forecasting from evidence of efficacy for this tested dose and approach.

What to keep in mind

The trial assessed a standardized meal test and a 5 g glucose dose; the proposed 10 g effect was based on extrapolation, not a tested intervention.

Source

Published in Diabetes Technol Ther. This summary was written by xxcode from the publication's abstract and metadata. It is not peer reviewed and is not a substitute for the original article. For clinical decisions, review the original publication.

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AI-generated summaries may contain errors or omissions. Verify clinically important information with the original publication.

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