Evidence map›Paper›PMID 34805393›Full record

ArticlemHealth2021

Two cases of COVID-19 monitored by a wearable biosensor-a case report.

Willem Gielen, Kevin Andrew Longoria, Reinier Alexander van Mourik

Open access · diamondAbstract readCase Reports
In one paragraph

Article in mHealth, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 33% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Observational
  2. Article
  3. Observational
  4. Observational
  5. Review
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

3 authors at 1 institution in 1 country.

Willem GielenDepartment of Internal Medicine, Randers Regional Hospital, Randers, Denmark.
Kevin Andrew LongoriaBiostrap, Duarte, CA, USA.
Reinier Alexander van MourikBiostrap, Duarte, CA, USA.
Regional Hospital Randers · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wearable devices have gained popularity in recent years for tracking metrics related to personal health and well-being such as vital signs, motion, and sleep. Wearable devices are considered to have a very high potential value for detecting, monitoring, and controlling the spread of infectious diseases such as COVID-19, based on their ability to collect data in a non-invasive and contactless manner. With the Biostrap wrist-worn device (Biostrap USA LLC, Duarte, CA, USA), a commercially available, clinically validated wearable device that uses photoplethysmography to automatically record physiological data such as resting heart rate, respiratory rate, oxygen saturation (SpO

Indexed as

BiostrapCase reportCOVID-19wearable

Identifiers

PMID34805393
PMCPMC8572749
OpenAlexW3153678938

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.