Evidence map›Paper›PMID 30862031›Full record

ArticleJournal of clinical medicine2019

How Effective Is Pulse Arrival Time for Evaluating Blood Pressure? Challenges and Recommendations from a Study Using the MIMIC Database.

Yongbo Liang, Derek Abbott, Newton Howard, Kenneth Lim, Rabab Ward, Mohamed Elgendi

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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.

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

36 citing papers in PubMed.

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  10. Human Disabled-2 regulates thromboxane ANature communications · 2024
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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

6 authors.

Yongbo LiangSchool of Electrical and Computer Engineering, University of British Columbia, Vancouver BC V6T 1Z4, Canada. liangyongbo001@gmail.com.
Derek AbbottSchool of Electrical and Electronic Engineering, The University of Adelaide, Adelaide SA 5005, Australia. derek.abbott@adelaide.edu.au.ORCID 0000-0002-0945-2674
Newton HowardNuffield Department of Surgical Sciences, University of Oxford, Oxford OX3 9DU, UK. newton.howard@nds.ox.ac.uk.ORCID 0000-0002-8503-3973
Kenneth LimFaculty of Medicine, University of British Columbia, Vancouver BC V1Y 1T3, Canada. klim@cw.bc.ca.
Rabab WardSchool of Electrical and Computer Engineering, University of British Columbia, Vancouver BC V6T 1Z4, Canada. rababw@ece.ubc.ca.ORCID 0000-0002-2471-1902
Mohamed ElgendiSchool of Electrical and Computer Engineering, University of British Columbia, Vancouver BC V6T 1Z4, Canada. moe.elgendi@gmail.com.ORCID 0000-0003-1831-0202

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiovascular disease (CVD) is the number one cause of non-infectious morbidity and mortality in the world. The detection, measurement, and management of high blood pressure play an essential role in the prevention and control of CVDs. However, owing to the limitations and discomfort of traditional blood pressure (BP) detection techniques, many new cuff-less blood pressure approaches have been proposed and explored. Most of these involve arterial wave propagation theory, which is based on pulse arrival time (PAT), the time interval needed for a pulse wave to travel from the heart to some distal place on the body, such as the finger or earlobe. For this study, the Medical Information Mart for Intensive Care (MIMIC) database was used as a benchmark for PAT analysis. Many researchers who use the MIMIC database make the erroneous assumption that all the signals are synchronized. Therefore, we decided to investigate the calculation of PAT intervals in the MIMIC database and check its usefulness for evaluating BP. Our findings have important implications for the future use of the MIMIC database, especially for BP evaluation.

Indexed as

blood pressure monitoringdigital medicineglobal healthhypertension assessmenthypertension evaluationpulse arrival timepulse morphologypulse oximeterwearable devices

Identifiers

PMID30862031
PMCPMC6462898

What OpenQuestion holds

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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.