Evidence map›Paper›PMID 38605594›Full record

ReviewEndocrine research

Digital Health in Diabetes and Cardiovascular Disease.

Dorothy Avoke, Abdallah Elshafeey, Robert Weinstein, Chang H Kim, Seth S Martin

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Endocrine research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Review
  10. Review
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

5 authors.

Dorothy AvokeDepartment of Medicine, Johns Hopkins Hospital, Baltimore, MD, USA.
Abdallah ElshafeeyDepartment of Medicine, Johns Hopkins Hospital, Baltimore, MD, USA.
Robert WeinsteinDepartment of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Chang H KimDivision of Cardiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Seth S MartinDepartment of Medicine, Johns Hopkins Hospital, Baltimore, MD, USA.ORCID 0000-0002-7021-7622

Funding

Sex Hormones in Pulmonary Arterial HypertensionP01HL108800 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI NEWMAN, JOHN HUGHES · 2012 to 2021
$22.0M
Leveraging the 24-hour movement paradigm to preserve cognitive function and prevent Alzheimer's disease: The Multi-Ethnic Study of Atherosclerosis (MESA) 24H-ACT StudyR01AG071032 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI DIAZ, KEITH M, GABRIEL, KELLEY PETTEE · 2021 to 2024
$7.3M
NHLBI NIH HHS P01 HL108800NIA NIH HHS R01 AG071032
6 · The paper itself

Abstract

backgroundDigital health technologies are rapidly evolving and transforming the care of diabetes and cardiovascular disease (CVD). PURPOSE OF THE REVIEW: In this review, we discuss emerging approaches incorporating digital health technologies to improve patient outcomes through a more continuous, accessible, proactive, and patient-centered approach. We discuss various mechanisms of potential benefit ranging from early detection to enhanced physiologic monitoring over time to helping shape important management decisions and engaging patients in their care. Furthermore, we discuss the potential for better individualization of management, which is particularly important in diseases with heterogeneous and complex manifestations, such as diabetes and cardiovascular disease. This narrative review explores ways to leverage digital health technology to better extend the reach of clinicians beyond the physical hospital and clinic spaces to address disparities in the diagnosis, treatment, and prevention of diabetes and cardiovascular disease.

conclusionWe are at the early stages of the shift to digital medicine, which holds substantial promise not only to improve patient outcomes but also to lower the costs of care. The review concludes by recognizing the challenges and limitations that need to be addressed for optimal implementation and impact. We present recommendations on how to navigate these challenges as well as goals and opportunities in utilizing digital health technology in the management of diabetes and prevention of adverse cardiovascular outcomes.

Indexed as

Cardiovascular DiseasesDiabetes MellitusTelemedicineDigital HealthDigital TechnologyHumansCardiovascular diseasediabetes mellitusdigital health technologylifestyle managementmobile healthwearable devices

Identifiers

PMID38605594
PMCPMC11484505

What OpenQuestion holds

Textmetadata
LicenceTDM
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.