Evidence map›Paper›PMID 40151180›Full record

ArticleMetabolism open2025

Remote glucose monitoring and HbA1c improvement among persons with newly diagnosed diabetes mellitus type 2: A multi-center community-based study.

Mehreen Khan, Lusine Gigoyan, Mary Reed

Abstract read
In one paragraph

Article in Metabolism open, 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
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Mehreen KhanDepartment of Endocrinology, Kaiser Permanente Santa Clara, 710 Lawrence Expressway, Santa Clara, CA, 95051, USA.
Lusine GigoyanDivision of Research, Kaiser Permanente Northern California, 4480 Hacienda Drive, Pleasanton, CA, 94588, USA.
Mary ReedDivision of Research, Kaiser Permanente Northern California, 4480 Hacienda Drive, Pleasanton, CA, 94588, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: Remote monitoring can support patients with Type II diabetes. Still, evidence for improved glucose outcomes in broad community practice patients is extremely limited. We examined remote glucose monitoring in newly diagnosed patients with diabetes to identify its impact on diabetes outcomes. Methods: In a retrospective cohort study of all adults (age 18-75) with newly diagnosed Type II diabetes February 2020-December 2021 in a large integrated health system, we compared HbA1c (units: percentage, %) outcomes in remote monitoring users to non-users in their first year with diabetes, using propensity-weighted analyses. Results: Among 35,958 patients, patients age 45+ (vs. age 18-34), who were Asian/Pacific Islander or Hispanic (compared to White), living in more deprived neighborhoods, not using the patient portal, or with baseline HbA1c ≤ 8 were significantly (p < 0.001) less likely to use remote glucose monitoring. After adjustment, remote monitoring use was associated with a 23 % (95 % CI: 17-29 %) higher rate of reaching the HbA1c ≤ 8 % (vs. non-users). In patients starting with HbA1c > 8, remote glucose monitoring use was associated with 0.93 % greater absolute improvement in HbA1c value (vs. non-users, p < 0.05). Conclusions: Remote glucose monitoring was associated with improved HbA1c among newly diagnosed patients with Type II diabetes.

Indexed as

Blood sugar controlNewly diagnosedQualityRemote monitoringType 2 diabetesVirtual care

Identifiers

PMID40151180
PMCPMC11938046

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

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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.