Evidence map›Paper›PMID 42263264›Full record

ArticleJournal of medical Internet research2026

Clinical Effects of a Digital Health Intervention for Adults With Type 2 Diabetes in the United States: Retrospective Cohort Study.

David Kerr, Nita Thingalaya, Praveen Potukuchi, Keni Cs Lee, Edward Jonathan Han-Burgess, Darren Frey, Alison Edwards, Xinyan Yu, Laura Wilson, Felix Lee

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

David Kerr *Center for Health Systems Research, Sutter Health, Santa Barbara, CA, United States.ORCID https://orcid.org/0000-0003-1335-1857
Nita Thingalaya *Sanofi, Morristown, NJ, United States.ORCID https://orcid.org/0000-0002-9515-9457
Praveen PotukuchiSanofi, Morristown, NJ, United States.ORCID https://orcid.org/0000-0003-0649-6089
Keni Cs LeeSanofi, Reading, Berkshire, United Kingdom.ORCID https://orcid.org/0009-0006-3991-2113
Edward Jonathan Han-BurgessSanofi, Cambridge, MA, United States.ORCID https://orcid.org/0000-0003-1369-9167
Darren FreyEnsemble Insight, Paris, France.ORCID https://orcid.org/0000-0002-3094-5959
Alison EdwardsSymphony Health, ICON plc, Blue Bell, PA, United States.ORCID https://orcid.org/0009-0004-9285-4069
Xinyan YuSymphony Health, ICON plc, Blue Bell, PA, United States.ORCID https://orcid.org/0009-0002-3170-1996
Laura WilsonSanofi, Morristown, NJ, United States.ORCID https://orcid.org/0009-0009-1050-8485
Felix LeeSanofi, Morristown, NJ, United States.ORCID https://orcid.org/0009-0006-5588-9283

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDigital health interventions show promise in supporting adults with type 2 diabetes mellitus (T2DM). Dario is a digital diabetes solution (DDS) that allows individuals with T2DM to automatically log blood glucose (BG) measurements and other variables to facilitate positive behavior changes.

objectiveThis retrospective cohort study compared real-world clinical outcomes of adults with T2DM using the DDS with those of adults with T2DM receiving usual care alone.

methodsHealth care and claims data collected from the DDS, the Symphony Health Integrated Dataverse, and the Quest Laboratory were integrated into a single dataset using tokenization. DDS users were compared with a matched cohort of nonusers over the period from January 2017 to October 2021. Inclusion criteria were adults ≥18 years of age with T2DM, treated with antidiabetic medications, with ≥7% glycated hemoglobin (HbA

resultsThe two cohorts included 568 DDS users and 1699 nonusers with matched baseline characteristics. At 6 months, the generalized linear model least squares mean estimate of the difference in change in HbA

conclusionsAdults with T2DM and elevated HbA

Indexed as

Diabetes Mellitus, Type 2AdultAgedBlood GlucoseCohort StudiesDigital HealthFemaleGlycated HemoglobinHumansHypoglycemic AgentsMaleMiddle AgedRetrospective StudiesUnited StatesBlood GlucoseGlycated HemoglobinHypoglycemic Agentsadultadultsantidiabetic medicationantidiabetic medicationsBGblood glucosecohortdiabetesdiabetes mellitusdiabetic comprehensive caredigital healthglucoseglycated hemoglobinglycemiaglycemic controlHbA1cmedication adherenceself-managementsevere hypoglycemiaT2DMtype 2 diabetes mellitus

Identifiers

PMID42263264
PMCPMC13291732

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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.