Evidence map›Paper›PMID 34300670›Full record

ArticleSensors (Basel, Switzerland)2021

Lung Auscultation Using the Smartphone-Feasibility Study in Real-World Clinical Practice.

Henrique Ferreira-Cardoso, Cristina Jácome, Sónia Silva, Adelina Amorim, Margarida T Redondo, José Fontoura-Matias, Margarida Vicente-Ferreira, Pedro Vieira-Marques, José Valente, Rute Almeida and 2 more

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

7 citing papers in PubMed, 23 citations in OpenAlex.

  1. Observational
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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

12 authors at 2 institutions in 1 country.

Henrique Ferreira-CardosoFaculty of Medicine, University of Porto, 4200-319 Porto, Portugal.
Cristina JácomeMEDCIDS-Department of Community Medicine, Health Information and Decision, Faculty of Medicine, University of Porto, 4200-450 Porto, Portugal.ORCID 0000-0002-1151-8791
Sónia SilvaDepartment of Pediatrics, Centro Hospitalar Universitário de São João, 4200-319 Porto, Portugal.
Adelina AmorimFaculty of Medicine, University of Porto, 4200-319 Porto, Portugal.
Margarida T RedondoDepartment of Pulmonology, Centro Hospitalar Universitário de São João, 4200-319 Porto, Portugal.
José Fontoura-MatiasDepartment of Pediatrics, Centro Hospitalar Universitário de São João, 4200-319 Porto, Portugal.
Margarida Vicente-FerreiraDepartment of Pediatrics, Centro Hospitalar Universitário de São João, 4200-319 Porto, Portugal.
Pedro Vieira-MarquesCINTESIS-Center for Health Technology and Services Research, Faculty of Medicine, University of Porto, 4200-450 Porto, Portugal.ORCID 0000-0003-4174-2820
José ValenteMEDIDA-Serviços em Medicina, Educação, Investigação, Desenvolvimento e Avaliação, LDA, 4200-386 Porto, Portugal.
Rute AlmeidaMEDCIDS-Department of Community Medicine, Health Information and Decision, Faculty of Medicine, University of Porto, 4200-450 Porto, Portugal.ORCID 0000-0001-7755-5002
João Almeida FonsecaMEDCIDS-Department of Community Medicine, Health Information and Decision, Faculty of Medicine, University of Porto, 4200-450 Porto, Portugal.ORCID 0000-0002-0887-8796
Inês AzevedoDepartment of Pediatrics, Centro Hospitalar Universitário de São João, 4200-319 Porto, Portugal.
Universidade do Porto · PTHospital de São João · PT

Funding

Centro de Investigação em Tecnologias e Serviços de Saúde reference UIDB/4255/2020North Portugal Regional Operational Programme (NORTE 2020), under the PORTUGAL 2020 Partnership Agreement, and through the European Regional Development Fund (ERDF). Project NORTE-01-0247-FEDER-033275
6 · The paper itself

Abstract

Conventional lung auscultation is essential in the management of respiratory diseases. However, detecting adventitious sounds outside medical facilities remains challenging. We assessed the feasibility of lung auscultation using the smartphone built-in microphone in real-world clinical practice. We recruited 134 patients (median[interquartile range] 16[11-22.25]y; 54% male; 31% cystic fibrosis, 29% other respiratory diseases, 28% asthma; 12% no respiratory diseases) at the Pediatrics and Pulmonology departments of a tertiary hospital. First, clinicians performed conventional auscultation with analog stethoscopes at 4 locations (trachea, right anterior chest, right and left lung bases), and documented any adventitious sounds. Then, smartphone auscultation was recorded twice in the same four locations. The recordings (n = 1060) were classified by two annotators. Seventy-three percent of recordings had quality (obtained in 92% of the participants), with the quality proportion being higher at the trachea (82%) and in the children's group (75%). Adventitious sounds were present in only 35% of the participants and 14% of the recordings, which may have contributed to the fair agreement between conventional and smartphone auscultation (85%; k = 0.35(95% CI 0.26-0.44)). Our results show that smartphone auscultation was feasible, but further investigation is required to improve its agreement with conventional auscultation.

Indexed as

Respiratory SoundsSmartphoneAuscultationChildFeasibility StudiesFemaleHumansLungMaleasthmaauscultationcracklescystic fibrosismobile applicationsrespiratory soundssmartphonewheezes

Identifiers

PMID34300670
PMCPMC8309818
OpenAlexW3186172638

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.