Evidence mapPaperPMID 41275295Full record

ArticleDiabetology & metabolic syndrome2025

Sequential use of continuous glucose monitoring, with or without exercise trackers, significantly improves glycemic control in patients with type 2 diabetes.

Anushka Lahiri, Suan Tee Lim, Htike Kyu, Yock Young Dan, Chin Meng Khoo

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Article in Diabetology & metabolic syndrome, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
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1citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Anushka LahiriUniversity of Birmingham, Birmingham, UK.
Suan Tee LimDepartment of Medicine, National University Hospital, Singapore, Singapore.
Htike KyuDepartment of Medicine, National University Hospital, Singapore, Singapore.
Yock Young DanDepartment of Medicine, Yong Loo Lin School of Medicine National University of Singapore, Singapore, Singapore.
Chin Meng KhooDepartment of Medicine, National University Hospital, Singapore, Singapore. mdckcm@nus.edu.sg.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsContinuous glucose monitoring systems (CGM) and exercise trackers offer real-time feedback on the effects of lifestyle intervention on blood glucose. This randomized controlled trial aimed to examine whether an additional exercise tracker (Fitbit) would improve glycemic control, in combination with sequential CGM (FreeStyle Libre), in middle-aged patients with Type 2 Diabetes.

methodsThis 6-month prospective study included 158 patients, of whom 138 participants completed the protocol, with a median age of 58 (54, 62) years and HbA1c of 9.7% (8.8, 10.4). There were 69.6% participants on insulin therapy. Participants were randomly assigned to one of two groups: a group wearing a CGM alone (CGM, n = 73) or a group wearing both a CGM and a Fitbit INSPIRE HR (CGM-Fit, n = 65). All participants wore three sequential CGM (2 weekly for 6 weeks), coupled with diabetes education and diet counselling.

resultsBoth groups demonstrated sufficient CGM data capture at each two weeks (89.8%, 90.8%, 92%), with an average wear time of 14 days and 6-7 scans per day. Overall, time-in-range increased (61%, 67%, 71%; p < 0.01) and time-above-range decreased (35%, 27%, 25%; p < 0.01). HbA1c reduced significantly (p < 0.0001) between baseline and 3 months by 1.5% in both groups, independent of weight changes. However, between 3 and 6 months, the CGM group experienced a rise in HbA1c of 0.7% (p < 0.0001) compared (p < 0.05) to the 0.4% rise (p < 0.0001) in the CGM-fit group. The CGM-Fit group maintained their physical activity levels, whereas the CGM group experienced a significant reduction (p < 0.01) in physical activity.

conclusionsThe use of sequential CGM, guided by Diabetes counselling and dietary advice, significantly improved HbA1c. Using an exercise tracker may help sustain physical activity and glycemic control.

Indexed as

CGMExercise trackerSequentialType 2 diabetes

Identifiers

PMID41275295
PMCPMC12764008

What Socratic holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.