Evidence map›Paper›PMID 34178205›Full record

ReviewCurrent cardiovascular risk reports2021

Feasibility of Incorporating Voice Technology and Virtual Assistants in Cardiovascular Care and Clinical Trials.

Pishoy Gouda, Elie Ganni, Peter Chung, Varinder Kaur Randhawa, Guillaume Marquis-Gravel, Robert Avram, Justin A Ezekowitz, Abhinav Sharma

Abstract readReview
In one paragraph

Review in Current cardiovascular risk reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Review
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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

8 authors.

Pishoy GoudaDivision of Cardiology, University of Alberta, Edmonton, Alberta Canada.
Elie GanniDREAM-CV Lab, McGill University Health Centre, McGill University, Montreal, Quebec, Canada.
Peter ChungDREAM-CV Lab, McGill University Health Centre, McGill University, Montreal, Quebec, Canada.
Varinder Kaur RandhawaDepartment of Cardiovascular Medicine, Kaufman Center for Heart Failure and Recovery, Heart, Thoracic, and Vascular Institute, Cleveland Clinic, Cleveland, OH USA.
Guillaume Marquis-GravelMontreal Heart Institute, Université de Montréal, Montreal, Quebec, Canada.
Robert AvramMontreal Heart Institute, Université de Montréal, Montreal, Quebec, Canada.
Justin A EzekowitzDivision of Cardiology, University of Alberta, Edmonton, Alberta Canada.
Abhinav SharmaDREAM-CV Lab, McGill University Health Centre, McGill University, Montreal, Quebec, Canada.ORCID 0000-0002-2346-8330

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewWith the rising cost of cardiovascular clinical trials, there is interest in determining whether new technologies can increase cost effectiveness. This review focuses on current and potential uses of voice-based technologies, including virtual assistants, in cardiovascular clinical trials. RECENT

findingsNumerous potential uses for voice-based technologies have begun to emerge within cardiovascular medicine. Voice biomarkers, subtle changes in speech parameters, have emerged as a potential tool to diagnose and monitor many cardiovascular conditions, including heart failure, coronary artery disease, and pulmonary hypertension. With the increasing use of virtual assistants, numerous pilot studies have examined whether these devices can supplement initiatives to promote transitional care, physical activity, smoking cessation, and medication adherence with promising initial results. Additionally, these devices have demonstrated the ability to streamline data collection by administering questionnaires accurately and reliably. With the use of these technologies, there are several challenges that must be addressed before wider implementation including respecting patient privacy, maintaining regulatory standards, acceptance by patients and healthcare providers, determining the validity of voice-based biomarkers and endpoints, and increased accessibility. SUMMARY: Voice technology represents a novel and promising tool for cardiovascular clinical trials; however, research is still required to understand how it can be best harnessed.

Indexed as

Clinical trialsVirtual assistantsVoice technology

Identifiers

PMID34178205
PMCPMC8214838

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.