Evidence map›Paper›PMID 33318528›Full record

ArticleScientific reports2020

Feasibility of continuous fever monitoring using wearable devices.

Benjamin L Smarr, Kirstin Aschbacher, Sarah M Fisher, Anoushka Chowdhary, Stephan Dilchert, Karena Puldon, Adam Rao, Frederick M Hecht, Ashley E Mason

Erratum issuedOpen access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 69 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed, 2 pooled it
11.9field-weighted citation impact, top 1% 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

69 citing papers in PubMed, 2 syntheses or guidelines pooled it, 140 citations in OpenAlex.

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9 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 1 country.

Benjamin L SmarrDepartment of Bioengineering and Halicioglu Data Science Institute, University of California, San Diego, 9500 Gilman Drive MC 0412, La Jolla, CA, 92093-0412, USA. bsmarr@eng.ucsd.edu.
Kirstin AschbacherDivision of Cardiology, School of Medicine, University of California, San Francisco, San Francisco, USA.
Sarah M FisherOsher Center for Integrative Medicine, University of California San Francisco, San Francisco, USA.
Anoushka ChowdharyOsher Center for Integrative Medicine, University of California San Francisco, San Francisco, USA.
Stephan DilchertDepartment of Management, Baruch College, CUNY, New York and preValio LLC, Minneapolis, USA.
Karena PuldonSchool of Medicine, University of California, San Francisco, San Francisco, USA.
Adam RaoSchool of Medicine, University of California, San Francisco, San Francisco, USA.
Frederick M Hecht *Osher Center for Integrative Medicine, University of California San Francisco, San Francisco, USA.
Ashley E Mason *Osher Center for Integrative Medicine, University of California San Francisco, San Francisco, USA.
University of California, San Francisco · USBaruch College · USUniversity of California, San Diego · US

Funding

Training Researchers in Clinical Integrative Medicine (TRIM) - NOSI supplementT32AT003997 · NCCIH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SHELLEY R ADLER, MARIA T CHAO · 2007 to 2026
$6.6M
Mentoring and Research in Integrative MedicineK24AT007827 · NCCIH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HECHT, FREDERICK M · 2013 to 2022
$1.8M
NCCIH NIH HHS K24 AT007827NCCIH NIH HHS T32 AT003997
6 · The paper itself

Abstract

Elevated core temperature constitutes an important biomarker for COVID-19 infection; however, no standards currently exist to monitor fever using wearable peripheral temperature sensors. Evidence that sensors could be used to develop fever monitoring capabilities would enable large-scale health-monitoring research and provide high-temporal resolution data on fever responses across heterogeneous populations. We launched the TemPredict study in March of 2020 to capture continuous physiological data, including peripheral temperature, from a commercially available wearable device during the novel coronavirus pandemic. We coupled these data with symptom reports and COVID-19 diagnosis data. Here we report findings from the first 50 subjects who reported COVID-19 infections. These cases provide the first evidence that illness-associated elevations in peripheral temperature are observable using wearable devices and correlate with self-reported fever. Our analyses support the hypothesis that wearable sensors can detect illnesses in the absence of symptom recognition. Finally, these data support the hypothesis that prediction of illness onset is possible using continuously generated physiological data collected by wearable sensors. Our findings should encourage further research into the role of wearable sensors in public health efforts aimed at illness detection, and underscore the importance of integrating temperature sensors into commercially available wearables.

Indexed as

Wearable Electronic DevicesAdultAgedCOVID-19Feasibility StudiesFemaleFeverHumansMaleMiddle AgedMonitoring, PhysiologicSelf ReportTelemedicineThermometryYoung Adult

Identifiers

PMID33318528
PMCPMC7736301
OpenAlexW3112300562

What OpenQuestion 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 OpenQuestion graph.