# Real-World Data Investigating the Frequency of Flash Glucose Monitoring and Glycaemic Metrics in Omani Diabetes Patients: A preliminary retrospective cross-sectional study

**Authors:** Ammar Al-Mamari, Sumaia Al Gharabi, Merah Al Busaidy, Abdulla Al Futaisi

PMC · DOI: 10.18295/2075-0528.2952 · 2026-01-10

## TL;DR

This study shows that frequent glucose monitoring improves diabetes control in Omani patients.

## Contribution

The study provides real-world evidence linking frequent flash glucose monitoring to better glycaemic outcomes in Omani diabetes patients.

## Key findings

- Patients with ≥12 scans/day had higher time-in-range (52.4%) and lower eA1c (7.7%) compared to those with ≤3 scans/day.
- Frequent scanning was associated with lower glucose variability and better glycaemic metrics.
- No significant association was found between scanning frequency and time-below-range or glucose coefficient of variation.

## Abstract

This study aimed to evaluate real-world glycaemic outcomes associated with flash glucose monitoring (FGM) use in patients with diabetes at Sultan Qaboos University Hospital, Muscat, Oman.

This retrospective cross-sectional study was conducted among diabetic patients using flash glucose monitoring between January 2022 and August 2023. Patients were grouped by scanning frequency, time-in-range (TIR) and estimated A1c (eA1c). Associations between scanning frequency and glycaemic metrics were analysed.

A total of 436 patients were included in this study. Patients with higher scanning frequency (≥12 scans/day, median = 17) achieved greater TIR (52.4% versus 34.8%), lower time-above-range (41.8% versus 57.0%), lower eA1c (7.7% versus 9.0%) and lower glucose standard deviation (70.22 mg/dL versus 82.21 mg/dL) compared with those with the lowest scanning frequency (≤3 scans/day). No significant association was found between scanning frequency and time-below-range or glucose coefficient of variation.

Frequent FGM scanning was associated with improved glycaemic control in Omani diabetes patients, supporting its role in real-world diabetes management.

## Linked entities

- **Diseases:** diabetes (MONDO:0005015)
- **Species:** Mus musculus (taxon 10090)

## Full-text entities

- **Diseases:** Diabetes (MESH:D003920)
- **Chemicals:** Glucose (MESH:D005947)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Figures

1 figure with captions in the complete paper: https://tomesphere.com/paper/PMC12797266/full.md

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Source: https://tomesphere.com/paper/PMC12797266