Evidence map›Paper›PMID 34870272›Full record

ReviewFrontiers in digital health2021

Smartphones and Video Cameras: Future Methods for Blood Pressure Measurement.

Joe Steinman, Andrew Barszczyk, Hong-Shuo Sun, Kang Lee, Zhong-Ping Feng

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in digital health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 3 pooled it
1.5field-weighted citation impact, top 19% 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

12 citing papers in PubMed, 3 syntheses or guidelines pooled it, 21 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Joe SteinmanDepartment of Physiology, University of Toronto, Toronto, ON, Canada.
Andrew BarszczykDepartment of Physiology, University of Toronto, Toronto, ON, Canada.
Hong-Shuo SunDepartment of Physiology, University of Toronto, Toronto, ON, Canada.
Kang LeeDr. Eric Jackman Institute of Child Study, University of Toronto, Toronto, ON, Canada.
Zhong-Ping FengDepartment of Physiology, University of Toronto, Toronto, ON, Canada.
University of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Regular blood pressure (BP) monitoring enables earlier detection of hypertension and reduces cardiovascular disease. Cuff-based BP measurements require equipment that is inconvenient for some individuals and deters regular home-based monitoring. Since smartphones contain sensors such as video cameras that detect arterial pulsations, they could also be used to assess cardiovascular health. Researchers have developed a variety of image processing and machine learning techniques for predicting BP

Indexed as

blood pressurecardiovascular digital healthhemodynamicsimagingphysiology

Identifiers

PMID34870272
PMCPMC8633391
OpenAlexW3211354811

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.