Evidence map›Paper›PMID 39351525›Full record

ArticleFrontiers in endocrinology2024

The critical elements of digital health in diabetes and cardiometabolic care.

Mansur Shomali, Pablo Mora, Grazia Aleppo, Malinda Peeples, Abhimanyu Kumbara, Janice MacLeod, Anand Iyer

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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  5. Expert Opinion on Optimizing Suboptimal Basal Insulin Titration in India: Addressing Challenges and Leveraging Digital Solutions.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2025
    Article
  6. Article
  7. 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

7 authors.

Mansur ShomaliWelldoc, Columbia, MD, United States.
Pablo MoraUniversity of Texas Southwestern Medical Center, Dallas, TX, United States.
Grazia AleppoFeinberg School of Medicine, Northwestern University, Chicago, IL, United States.
Malinda PeeplesWelldoc, Columbia, MD, United States.
Abhimanyu KumbaraWelldoc, Columbia, MD, United States.
Janice MacLeodJanice MacLeod Consulting, Glen Burnie, MD, United States.
Anand IyerWelldoc, Columbia, MD, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital innovations provide novel opportunities to individualize a person's care to best match their lifestyle needs and circumstances and to support them as they live their daily lives with diabetes. These innovations also serve to provide actionable data and insights for the care team giving them a "Webb telescope-like" view into their individual self-management journey, allowing them to see what cannot be seen during infrequent and limited office visits, thereby facilitating collaboration and communication to optimize the care plan on a timely basis. Technology advances are enabling diabetes care to transition from episodic, synchronous, primarily in-person care to include synchronous virtual care options and to continuous, on-demand, data-informed, asynchronous digital care better matching the demands of living with a relentless 24/7 chronic condition. In this paper we will discuss the critical elements and considerations in designing and implementing successful diabetes digital health tools in clinical practice.

Indexed as

Diabetes MellitusTelemedicineCardiovascular DiseasesDigital HealthHumansSelf-Managementartificial intelligenceconnected healthdiabetesdigital healthdigital therapeuticsquintuple aimself-management

Identifiers

PMID39351525
PMCPMC11439689

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.