Evidence map›Paper›PMID 29277103›Full record

ArticleJournal of diabetes science and technology2018

Digital Diabetes Management Application Improves Glycemic Outcomes in People With Type 1 and Type 2 Diabetes.

Reid Offringa, Tong Sheng, Linda Parks, Mark Clements, David Kerr, Michael S Greenfield

Abstract read
In one paragraph

Article in Journal of diabetes science and technology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
–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

35 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

6 authors.

Reid Offringa1 Glooko Inc., Mountain View, CA, USA.
Tong Sheng1 Glooko Inc., Mountain View, CA, USA.
Linda Parks1 Glooko Inc., Mountain View, CA, USA.
Mark Clements1 Glooko Inc., Mountain View, CA, USA.
David Kerr1 Glooko Inc., Mountain View, CA, USA.
Michael S Greenfield1 Glooko Inc., Mountain View, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiabetes is a chronic condition that requires constant self-management. As a consequence, several software platforms have been developed to facilitate the tracking of diabetes data to improve diabetes management. Our aim was to determine the real-world glycemic benefits of a mobile diabetes management platform used by individuals with type 1 and type 2 diabetes.

methodsMobile platform-using (n = 899) and control (n = 900) participants meeting specific minimum data criteria were randomly selected from a database of diabetes users. All results were modeled using different mixed effect generalized linear models, assigning random intercepts for each user, and adjusting the distribution assumption for each outcome.

resultsUsers of the mobile platform increased their frequency of blood glucose monitoring (+8.8 tests per month, 95% CI [3.4, 14.1], P < .001) and had fewer hyperglycemic events and lower average glucose levels compared to the control group. In addition, a mobile user could expect a 3.5% drop in average BG (-6.4 mg/dL, 95% CI [-2.0, -10.7], P < .001) and a 10.7% decrease in hyperglycemia ( P < .001) after 2 months.

conclusionUsers of the mobile platform tested their BG more often and demonstrated greater improvement in blood glucose compared to users who did not use the mobile platform. This supports previous studies indicating that digital technologies can enhance diabetes care in a real-world setting.

Indexed as

Mobile ApplicationsAdultAgedBlood GlucoseBlood Glucose Self-MonitoringDatabases as TopicDiabetes Mellitus, Type 1Diabetes Mellitus, Type 2FemaleGlycemic IndexHumansMaleMiddle AgedRetrospective StudiesBlood Glucoseaverage blood glucoseblood glucoseblood glucose meterhyperglycemiamobile app for diabetesmobile healthself-monitoring of blood glucose

Identifiers

PMID29277103
PMCPMC6154224

What OpenQuestion holds

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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 OpenQuestion graph.