Evidence map›Paper›PMID 41838209›Full record

ReviewCurrent cardiology reports2026

Mobile App-based mHealth Interventions and Cardiovascular Risk Factors in Patients with Type 2 Diabetes: A Narrative Review.

Lakshmi Kattamuri, Shubhangi Deoker, Kunal Sharma, Abhizith Deoker

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In one paragraph

Review in Current cardiology reports, 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
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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

4 authors.

Lakshmi KattamuriTexas Tech University Health Sciences Center, El Paso, TX, USA.
Shubhangi DeokerBJ Medical College, Pune, Maharashtra, India.
Kunal SharmaTexas Tech University Health Sciences Center, El Paso, TX, USA.
Abhizith DeokerTexas Tech University Health Sciences Center, El Paso, TX, USA. abhizith.deoker@ttuhsc.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundType 2 diabetes mellitus (T2DM) is associated with a high burden of cardiovascular disease (CVD), driven by clustering of poorly controlled risk factors. Despite clear evidence that multifactorial risk-factor control reduces CVD events, simultaneous achievement of guideline-recommended targets remains uncommon and challenging in clinical practice. Mobile app based mHealth have emerged as scalable tools to extend chronic disease management beyond traditional care settings.

objectiveThis is an updated narrative review on mobile app-based interventions in adults with type 2 diabetes mellitus, with a focus on their impact on major cardiovascular risk factors.

methodsWe conducted a literature search on PubMed, Embase, Cochrane Library, Web of Science, and Scopus from inception to November 2025 for studies involving adults with T2DM, mHealth or smartphone app interventions, and cardiovascular risk factors.

resultsmHealth interventions consistently produced modest but clinically relevant reductions in HbA1c (up to 0.8% in intensive, tailored programs) compared to usual care. Effects on systolic blood pressure were generally small and heterogeneous. Effects on lipid profile were limited and often non-significant; most benefits appeared mediated through improved statin initiation and adherence rather than direct lifestyle change. Weight, body mass index, and waist circumference revealed small improvement, primarily in lifestyle-focused apps with active diet and physical activity tracking. mHealth programs enhanced self-management behaviors and medication adherence. These studies are limited by substantial heterogeneity in populations, intervention components, comparators, outcome ascertainment, and by digital literacy and access barriers.

conclusionsMobile app-based interventions for T2DM reliably improve glycemic control and confer smaller, more variable benefits across other cardiovascular risk factors. Current evidence supports mHealth as an enabling component of comprehensive diabetes and cardiovascular risk management rather than a stand-alone therapy. Robust, longer-term trials in diverse, high-risk populations are needed to determine whether these digital strategies translate into durable reductions in major cardiovascular events.

Indexed as

Cardiovascular DiseasesDiabetes Mellitus, Type 2Mobile ApplicationsDigital HealthHeart Disease Risk FactorsHumansRisk FactorsTelemedicineCardiovascular risk factorsDigital health interventionsMobile health (mHealth)Smartphone applicationsType 2 diabetes mellitus

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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.