Evidence map›Paper›PMID 37018236›Full record

ArticlePloS one2023

Trends in voice characteristics in patients with heart failure (VENTURE) in Switzerland: Protocol for a longitudinal observational pilot study.

Fan Wu, Matthias Nägele, David Cleres, Thomas Haider, Elgar Fleisch, Frank Ruschitzka, Andreas Flammer, Filipe Barata

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 41% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
  2. Article
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 at 3 institutions in 1 country.

Fan WuCenter for Digital Health Interventions, Department of Management, Technology and Economics, ETH Zurich, Zurich, Switzerland.ORCID 0000-0002-8414-0515
Matthias NägeleCardiovascular Center, Cardiology, University Hospital Zurich, Zurich, Switzerland.
David CleresCenter for Digital Health Interventions, Department of Management, Technology and Economics, ETH Zurich, Zurich, Switzerland.ORCID 0000-0002-7534-7960
Thomas HaiderCardiovascular Center, Cardiology, University Hospital Zurich, Zurich, Switzerland.ORCID 0000-0002-3048-4662
Elgar FleischCenter for Digital Health Interventions, Department of Management, Technology and Economics, ETH Zurich, Zurich, Switzerland.
Frank RuschitzkaCardiovascular Center, Cardiology, University Hospital Zurich, Zurich, Switzerland.
Andreas FlammerCardiovascular Center, Cardiology, University Hospital Zurich, Zurich, Switzerland.
Filipe BarataCenter for Digital Health Interventions, Department of Management, Technology and Economics, ETH Zurich, Zurich, Switzerland.ORCID 0000-0002-3905-2380
University Hospital of Zurich · CHETH Zurich · CHUniversity of St.Gallen · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionHeart Failure (HF) is a major health and economic issue worldwide. HF-related expenses are largely driven by hospital admissions and re-admissions, many of which are potentially preventable. Current self-management programs, however, have failed to reduce hospital admissions. This may be explained by their low predictive power for decompensation and high adherence requirements. Slight alterations in the voice profile may allow to detect decompensation in HF patients at an earlier stage and reduce hospitalizations. This pilot study investigates the potential of voice as a digital biomarker to predict health status deterioration in HF patients. METHODS AND ANALYSIS: In a two-month longitudinal observational study, we collect voice samples and HF-related quality-of-life questionnaires from 35 stable HF patients. Patients use our developed study application installed on a tablet at home during the study period. From the collected data, we use signal processing to extract voice characteristics from the audio samples and associate them with the answers to the questionnaire data. The primary outcome will be the correlation between voice characteristics and HF-related quality-of-life health status. ETHICS AND DISSEMINATION: The study was reviewed and approved by the Cantonal Ethics Committee Zurich (BASEC ID:2022-00912). Results will be published in medical and technical peer-reviewed journals.

Indexed as

Heart FailureHospitalizationHumansObservational Studies as TopicPilot ProjectsSurveys and QuestionnairesSwitzerland

Identifiers

PMID37018236
PMCPMC10075432
OpenAlexW4362601248

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.