Evidence map›Paper›PMID 39422821›Full record

ReviewCurrent cardiology reports2024

Rhythm-Ready: Harnessing Smart Devices to Detect and Manage Arrhythmias.

Paishiun Nelson Hsieh, Jagmeet P Singh

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current cardiology reports, 2024. 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
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.

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

2 authors.

Paishiun Nelson HsiehMassachusetts General Hospital, Demoulas Center for Cardiac Arrhythmias, Harvard Medical School, 55 Fruit Street, GRB 8-842, Boston, MA, 02114, USA.
Jagmeet P SinghMassachusetts General Hospital, Demoulas Center for Cardiac Arrhythmias, Harvard Medical School, 55 Fruit Street, GRB 8-842, Boston, MA, 02114, USA. jsingh@mgh.harvard.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewTo survey recent progress in the application of implantable and wearable sensors to detection and management of cardiac arrhythmias. RECENT

findingsSensor-enabled strategies are critical for the detection, prediction and management of arrhythmias. In the last several years, great innovation has occurred in the types of devices (implanted and wearable) that are available and the data they collect. The integration of artificial intelligence solutions into sensor-enabled strategies has set the stage for a new generation of smart devices that augment the human clinician. Smart devices enhanced by new sensor technologies and Artificial Intelligence (AI) algorithms promise to reshape the care of cardiac arrhythmias.

Indexed as

Arrhythmias, CardiacArtificial IntelligenceWearable Electronic DevicesAlgorithmsDefibrillators, ImplantableHumansArtificial IntelligenceCardiac DevicesRemote MonitoringSensorsSmart DevicesWearables

Identifiers

PMID39422821

What OpenQuestion holds

Textmetadata
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.