Evidence map›Paper›PMID 36583938›Full record

Trial reportJournal of medical Internet research2022

Accuracy and Systematic Biases of Heart Rate Measurements by Consumer-Grade Fitness Trackers in Postoperative Patients: Prospective Clinical Trial.

Philipp Helmer, Sebastian Hottenrott, Philipp Rodemers, Robert Leppich, Maja Helwich, Rüdiger Pryss, Peter Kranke, Patrick Meybohm, Bernd E Winkler, Michael Sammeth

Registry-linked trialAbstract readClinical Trial
In one paragraph

Trial report in Journal of medical Internet research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05418881 (Evaluation and Implementation of Mobile Tracking Devices to Increase Safety in Hospitalized Patients - MONITOR 2022), which is not on this map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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.

NCT05418881 naunknown statusnot on this map

Evaluation and Implementation of Mobile Tracking Devices to Increase Safety in Hospitalized Patients - MONITOR 2022

TypeinterventionalSponsorWuerzburg University HospitalRan2021 to 2023Enrolled500ConditionsFitness Trackers, Hemodynamic Monitoring, Internet of Things, Postoperative ComplicationsArmsMobile Tracking Device (one spot), Mobile Tracking Device + Activity Sensor (longitudinal)
3 · Its place in the literature

Who cites it

18 citing papers in PubMed.

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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

10 authors.

Philipp HelmerDepartment of Anaesthesiology, Intensive Care, Emergency and Pain Medicine, University Hospital Würzburg, Würzburg, Germany.ORCID 0000-0001-7004-7400
Sebastian HottenrottDepartment of Anaesthesiology, Intensive Care, Emergency and Pain Medicine, University Hospital Würzburg, Würzburg, Germany.ORCID 0000-0002-9426-7560
Philipp RodemersDepartment of Anaesthesiology, Intensive Care, Emergency and Pain Medicine, University Hospital Würzburg, Würzburg, Germany.ORCID 0000-0001-7128-1944
Robert LeppichDepartment of Software Engineering, Faculty of Computer Science, University of Würzburg, Würzburg, Germany.ORCID 0000-0003-4711-7743
Maja HelwichDepartment of Anaesthesiology, Intensive Care, Emergency and Pain Medicine, University Hospital Würzburg, Würzburg, Germany.ORCID 0000-0002-1983-6188
Rüdiger PryssInstitute for Clinical Epidemiology and Biometry, University of Würzburg, Würzburg, Germany.ORCID 0000-0003-1522-785X
Peter KrankeDepartment of Anaesthesiology, Intensive Care, Emergency and Pain Medicine, University Hospital Würzburg, Würzburg, Germany.ORCID 0000-0001-5324-981X
Patrick MeybohmDepartment of Anaesthesiology, Intensive Care, Emergency and Pain Medicine, University Hospital Würzburg, Würzburg, Germany.ORCID 0000-0002-2666-8696
Bernd E Winkler *Department of Anaesthesiology, Intensive Care, Emergency and Pain Medicine, University Hospital Würzburg, Würzburg, Germany.ORCID 0000-0003-2042-6888
Michael Sammeth *Department of Anaesthesiology, Intensive Care, Emergency and Pain Medicine, University Hospital Würzburg, Würzburg, Germany.ORCID 0000-0002-6528-9883

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOver the recent years, technological advances of wrist-worn fitness trackers heralded a new era in the continuous monitoring of vital signs. So far, these devices have primarily been used for sports.

objectiveHowever, for using these technologies in health care, further validations of the measurement accuracy in hospitalized patients are essential but lacking to date.

methodsWe conducted a prospective validation study with 201 patients after moderate to major surgery in a controlled setting to benchmark the accuracy of heart rate measurements in 4 consumer-grade fitness trackers (Apple Watch 7, Garmin Fenix 6 Pro, Withings ScanWatch, and Fitbit Sense) against the clinical gold standard (electrocardiography).

resultsAll devices exhibited high correlation (r≥0.95; P<.001) and concordance (r

conclusionsConsumer-grade fitness trackers appear promising in hospitalized patients for monitoring heart rate.

trial registrationClinicalTrials.gov NCT05418881; https://www.clinicaltrials.gov/ct2/show/NCT05418881.

Indexed as

ElectrocardiographyFitness TrackersHeart RateHumansMonitoring, PhysiologicPatientsProspective StudiesApple Watch 7Fitbit SenseGarmin Fenix 6 Prohealth trackerinternet of thingspersonalized medicinephotoplethysmographysmartwatchwearableWithings ScanWatch

Identifiers

PMID36583938
PMCPMC9840097

What OpenQuestion holds

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Registered trials

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.