Evidence map›Paper›PMID 37697927›Full record

ArticleCurrent cardiology reviews2023

Contemporary Considerations in the Evolution of Wearable Technology for Arrhythmia Detection.

Tobin Joseph, Mahmoud Barrie, Akbar Karimi, Sharmi Haque, Innocent Ogunmwonyi, Utkarsh Ojha

Open access · greenAbstract read
In one paragraph

Article in Current cardiology reviews, 2023. 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
–field-weighted citation impact, top 77% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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

6 authors at 5 institutions in 2 countries.

Tobin JosephDepartment of Acute Medicine, Hillingdon Hospital, Uxbridge, United Kingdom.
Mahmoud BarrieSchool of Medicine, Imperial College London, London, United Kingdom.
Akbar KarimiDepartment of Acute Medicine, Hillingdon Hospital, Uxbridge, United Kingdom.
Sharmi HaqueFaculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, Netherlands.
Innocent OgunmwonyiDepartment of Medicine, Darent Valley Hospital, Dartford, Kent, United Kingdom.
Utkarsh OjhaChelsea and Westminster Hospital, London, United Kingdom.
Hillingdon Hospital · GBDarent Valley Hospital · GBHarefield Hospital · GBImperial College London · GBMaastricht University · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Arrhythmias are an increasingly common cause of hospital admissions worldwide. Late detection of arrhythmias is associated with a significantly increased risk of cardiovascular complications. Early identification and management of life-threatening arrhythmias is paramount to reduce mortality. Wearable technologies are now widespread among the general population, providing a continuous output of healthcare data. However, this data are not routinely integrated into clinical practice. Here, we begin by outlining the current landscape in wearable technology for aiding arrhythmia detection; we then consider the clinical impact of wearable technology for both clinicians and patients; we further highlight the latest and emerging trials in wearable technology for arrhythmia detection and finally postulate the wider implications of the expansion of such cardiac devices.

Indexed as

Wearable Electronic DevicesArrhythmias, CardiacHumansArrhythmiacardiac devices.cardiovascular complicationsmonitoringtechnologywearables

Identifiers

PMID37697927
PMCPMC10636792
OpenAlexW4386169648

What Socratic 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 Socratic graph.