Evidence map›Paper›PMID 33344473›Full record

SynthesisFrontiers in medicine2020

Assessment of Hypertension Using Clinical Electrocardiogram Features: A First-Ever Review.

Kathleen Bird, Gabriel Chan, Huiqi Lu, Heloise Greeff, John Allen, Derek Abbott, Carlo Menon, Nigel H Lovell, Newton Howard, Wee-Shian Chan and 4 more

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Frontiers in medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.1field-weighted citation impact, top 6% 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, 33 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 8 institutions in 4 countries.

Kathleen BirdFaculty of Medicine, University of British Columbia, Vancouver, BC, Canada.
Gabriel ChanFaculty of Medicine, University of British Columbia, Vancouver, BC, Canada.
Huiqi LuInstitute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, United Kingdom.
Heloise GreeffInstitute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, United Kingdom.
John AllenResearch Center for Intelligent Healthcare, Coventry University, Coventry, United Kingdom.
Derek AbbottSchool of Electrical and Electronic Engineering, The University of Adelaide, Adelaide, SA, Australia.
Carlo MenonSchool of Mechatronic Systems Engineering, Simon Fraser University, Burnaby, BC, Canada.
Nigel H LovellGraduate School of Biomedical Engineering, UNSW Sydney, Sydney, NSW, Australia.
Newton HowardNuffield Department of Surgical Sciences, University of Oxford, Oxford, United Kingdom.
Wee-Shian ChanFaculty of Medicine, University of British Columbia, Vancouver, BC, Canada.
Richard Ribon FletcherD-Lab, Massachusetts Institute of Technology, Cambridge, MA, United States.
Aymen AlianYale School of Medicine, Yale University, New Haven, CT, United States.
Rabab WardSchool of Electrical and Computer Engineering, University of British Columbia, Vancouver, BC, Canada.
Mohamed ElgendiFaculty of Medicine, University of British Columbia, Vancouver, BC, Canada.
University of British Columbia · CAUniversity of Oxford · GBSimon Fraser University · CAIntelligent Health (United Kingdom) · GBMassachusetts Institute of Technology · USThe University of Adelaide · AUUNSW Sydney · AUYale University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hypertension affects an estimated 1.4 billion people and is a major cause of morbidity and mortality worldwide. Early diagnosis and intervention can potentially decrease cardiovascular events later in life. However, blood pressure (BP) measurements take time and require training for health care professionals. The measurements are also inconvenient for patients to access, numerous daily variables affect BP values, and only a few BP readings can be collected per session. This leads to an unmet need for an accurate, 24-h continuous, and portable BP measurement system. Electrocardiograms (ECGs) have been considered as an alternative way to measure BP and may meet this need. This review summarizes the literature published from January 1, 2010, to January 1, 2020, on the use of only ECG wave morphology to monitor BP or identify hypertension. From 35 articles analyzed (9 of those with no listed comorbidities and confounders), the P wave, QTc intervals and TpTe intervals may be promising for this purpose. Unfortunately, with the limited number of articles and the variety of participant populations, we are unable to make conclusions about the effectiveness of ECG-only BP monitoring. We provide 13 recommendations for future ECG-only BP monitoring studies and highlight the limited findings in pregnant and pediatric populations. With the advent of convenient and portable ECG signal recording in smart devices and wearables such as watches, understanding how to apply ECG-only findings to identify hypertension early is crucial to improving health outcomes worldwide.

Indexed as

cardiologydigital healthECGhealth monitoringhypertension

Identifiers

PMID33344473
PMCPMC7746856
OpenAlexW3107996784

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.