Evidence map›Paper›PMID 36862812›Full record

ReviewCirculation research2023

Wearable Devices in Cardiovascular Medicine.

Andrew Hughes, Md Mobashir Hasan Shandhi, Hiral Master, Jessilyn Dunn, Evan Brittain

Open access · bronzeAbstract readReview
In one paragraph

Review in Circulation research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 145 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
145citing papers in PubMed, 4 pooled it
95.7field-weighted citation impact, top 1% of its field
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

145 citing papers in PubMed, 4 syntheses or guidelines pooled it, 219 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Review
  6. Review
  7. Review
  8. Article
  9. Review
  10. Review
  11. Article
  12. Observational
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Review

85 more citing papers are in PubMed but not listed here.

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 at 2 institutions in 1 country.

Andrew HughesDepartment of Medicine (A.H.), Vanderbilt University Medical Center, Nashville, TN.
Md Mobashir Hasan ShandhiDepartment of Biomedical Engineering (M.M.H.S., J.D.), Duke University, Durham, NC.
Hiral MasterVanderbilt Institute of Clinical and Translational Research (H.M.), Vanderbilt University Medical Center, Nashville, TN.ORCID 0000-0003-0019-3087
Jessilyn DunnDepartment of Biomedical Engineering (M.M.H.S., J.D.), Duke University, Durham, NC.
Evan BrittainDivision of Cardiovascular Medicine (E.B.), Vanderbilt University Medical Center, Nashville, TN.ORCID 0000-0001-5843-3392
Vanderbilt University Medical Center · USDuke University · US

Funding

Medical Scientist Training ProgramT32GM152284 · NIGMS · VANDERBILT UNIVERSITY · PI Christopher S. Williams · 2024 to 2026
$4.8M
Effect of PDE5 Inhibition on Adipose Metabolism in HumansR01DK124845 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BRITTAIN, EVAN L, DAMON, BRUCE M. · 2021 to 2025
$3.4M
Vanderbilt Stimulating Access to Research in Residency (V-StARR)R38HL167237 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Michael R. DeBaun, Christopher S. Williams · 2023 to 2026
$1.8M
Risk and Resilience in Pulmonary Arterial Hypertension and Genetically Susceptible IndividualsR01FD007627 · FDA · VANDERBILT UNIVERSITY MEDICAL CENTER · PI AUSTIN, ERIC DOUGLAS, BRITTAIN, EVAN L · 2022 to 2025
$1.6M
The MObile Health InterVEntion in Pulmonary Arterial Hypertension (MOVE PAH) StudyR61HL158941 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BRITTAIN, EVAN L · 2022 to 2022
$773k
FDA HHS R01 FD007627NHLBI NIH HHS R38 HL167237NHLBI NIH HHS R61 HL158941NIDDK NIH HHS R01 DK124845NIGMS NIH HHS T32 GM152284
6 · The paper itself

Abstract

Wearable devices, such as smartwatches and activity trackers, are commonly used by patients in their everyday lives to manage their health and well-being. These devices collect and analyze long-term continuous data on measures of behavioral or physiologic function, which may provide clinicians with a more comprehensive view of a patients' health compared with the traditional sporadic measures captured by office visits and hospitalizations. Wearable devices have a wide range of potential clinical applications ranging from arrhythmia screening of high-risk individuals to remote management of chronic conditions such as heart failure or peripheral artery disease. As the use of wearable devices continues to grow, we must adopt a multifaceted approach with collaboration among all key stakeholders to effectively and safely integrate these technologies into routine clinical practice. In this Review, we summarize the features of wearable devices and associated machine learning techniques. We describe key research studies that illustrate the role of wearable devices in the screening and management of cardiovascular conditions and identify directions for future research. Last, we highlight the challenges that are currently hindering the widespread use of wearable devices in cardiovascular medicine and provide short- and long-term solutions to promote increased use of wearable devices in clinical care.

Indexed as

Cardiovascular AgentsHeart FailurePeripheral Arterial DiseaseWearable Electronic DevicesHospitalizationHumansCardiovascular Agentscardiac rehabilitationcardiologydigital technologyhealthy lifestylewearable electronic devices

Identifiers

PMID36862812
PMCPMC9991078
OpenAlexW4322764200

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.