Evidence map›Paper›PMID 28818431›Full record

ReviewTrends in cardiovascular medicine2018

Wearable technology for cardiology: An update and framework for the future.

Joshua M Pevnick, Kade Birkeland, Raymond Zimmer, Yaron Elad, Ilan Kedan

Abstract readReview
In one paragraph

Review in Trends in cardiovascular medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed, 2 pooled it
7.2field-weighted citation impact, top 2% 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

68 citing papers in PubMed, 2 syntheses or guidelines pooled it, 159 citations in OpenAlex.

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  13. An Algorithmic Approach for Detecting Neuromotor Developmental Disabilities in Infants from Wearable Sensor Data.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2024
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8 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Joshua M PevnickDepartment of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA; Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA.
Kade BirkelandCedars-Sinai Medical Delivery Network, Cedars-Sinai Health System, Los Angeles, CA.
Raymond ZimmerCedars-Sinai Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA.
Yaron EladDepartment of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA; Cedars-Sinai Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA.
Ilan KedanCedars-Sinai Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA. Electronic address: Ilan.Kedan@cshs.org.
Cedars-Sinai Medical Center · USSinai Health System · US

Funding

Minimizing Errors in Medication Histories Obtained at Hospital AdmissionK23AG049181 · NIA · CEDARS-SINAI MEDICAL CENTER · PI PEVNICK, JOSHUA M · 2015 to 2018
$707k
NIA NIH HHS K23 AG049181
6 · The paper itself

Abstract

The field of cardiology has long used wearable medical devices to monitor heart rate and rhythm. The past decade has seen the emergence of many new wearable devices, including several that have been widely adopted by both physicians and consumers. In this review, we discuss existing and forthcoming devices designed to measure activity, heart rate, heart rhythm, and thoracic fluid. We also offer several frameworks to classify and better understand wearable devices, such that we may weigh their potential benefit in improving healthcare with the many challenges that must be addressed to reap these benefits.

Indexed as

Heart RateTransducersWearable Electronic DevicesBiosensing TechniquesCardiologyCardiovascular DiseasesClinical Decision-MakingDecision Support TechniquesDiffusion of InnovationElectrocardiography, AmbulatoryEquipment DesignFitness TrackersForecastingHumansPredictive Value of TestsTelemetryBiosensorsCardiologyClinical decision supportPatient-generated dataWearables

Identifiers

PMID28818431
PMCPMC5762264
OpenAlexW2743713595

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.