Evidence map›Paper›PMID 37152621›Full record

ArticleJACC. Advances2023

Wearable Biosensors in Congenital Heart Disease: Needs to Advance the Field.

Animesh Tandon, Hoang H Nguyen, Sravani Avula, Dhruv R Seshadri, Akash Patel, Munes Fares, Orkun Baloglu, Shahnawaz Amdani, Roozbeh Jafari, Omer T Inan and 1 more

Abstract read
In one paragraph

Article in JACC. Advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Role of artificial intelligence in congenital heart disease.World journal of clinical pediatrics · 2025
    Review
  7. Review
  8. Article
  9. Management of Pediatric Congenital Heart Disease.Journal of clinical medicine · 2024
    Article
  10. Review
  11. Review
  12. Article
  13. Review
  14. Review
  15. Article
  16. Review
  17. Review
  18. Exercise, prescription and training in ACHD.International journal of cardiology. Congenital heart disease · 2023
    Review
  19. Article
  20. 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

11 authors.

Animesh TandonDepartment of Pediatric Cardiology, Pediatric Institute, Cleveland Clinic Children's, Cleveland, Ohio, USA.
Hoang H NguyenDivision of Cardiology, Department of Pediatrics, UT Southwestern Medical Center, Dallas, Texas, USA.
Sravani AvulaDivision of Cardiology, Department of Pediatrics, UT Southwestern Medical Center, Dallas, Texas, USA.
Dhruv R SeshadriDepartment of Orthopaedics, University Hospitals Cleveland Medical Center, Cleveland, Ohio, USA.
Akash PatelDepartment of Pediatric Cardiology, Pediatric Institute, Cleveland Clinic Children's, Cleveland, Ohio, USA.
Munes FaresDivision of Cardiology, Department of Pediatrics, UT Southwestern Medical Center, Dallas, Texas, USA.
Orkun BalogluCleveland Clinic Children's Center for Artificial Intelligence (C4AI), Cleveland Clinic Children's, Cleveland, Ohio, USA.
Shahnawaz AmdaniDepartment of Pediatric Cardiology, Pediatric Institute, Cleveland Clinic Children's, Cleveland, Ohio, USA.
Roozbeh JafariDepartments of Biomedical Engineering, Computer Science and Electrical Engineering, Texas A&M University, College Station, Texas, USA.
Omer T InanSchool of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA.
Colin K DrummondDepartment of Biomedical Engineering, Case School of Engineering at Case Western Reserve University, Cleveland, Ohio, USA.

Funding

UT Southwestern Center for Translational MedicineUL1TR003163 · NCATS · UT SOUTHWESTERN MEDICAL CENTER · PI TOTO, ROBERT DANIEL · 2021 to 2025
$39.3M
NCATS NIH HHS UL1 TR003163
6 · The paper itself

Abstract

Traditional measures of clinical status and physiology have generally been based in health care settings, episodic, short in duration, and performed at rest. Wearable biosensors provide an opportunity to obtain continuous non-invasive physiologic data from patients with congenital heart disease (CHD) in the real-world setting, over longer durations, and across varying levels of activity. However, there are significant technical limitations to the use of wearable biosensors in CHD. Here, we review current applications of wearable biosensors in CHD; how clinical and research uses of wearable biosensors must consider various CHD physiologies; the technical challenges in developing wearable biosensors for CHD; and special considerations for digital biomarkers in CHD.

Indexed as

artificial intelligencecongenital heart diseasewearable biosensorswearables

Identifiers

PMID37152621
PMCPMC10162770

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.