Evidence map›Paper›PMID 35586452›Full record

ArticleERJ open research2022

Longitudinal passive cough monitoring and its implications for detecting changes in clinical status.

Juan C Gabaldón-Figueira, Eric Keen, Matthew Rudd, Virginia Orrilo, Isabel Blavia, Juliane Chaccour, Mindaugas Galvosas, Peter Small, Simon Grandjean Lapierre, Carlos Chaccour

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in ERJ open research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07212439 (Continuous Cough Monitoring for Early Detection of COPD Exacerbations Using Hyfe), which is not on this map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
4.6field-weighted citation impact, top 4% 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.

NCT07212439 recruitingnot on this mapstarted 2025, after this paper: background citation

Continuous Cough Monitoring for Early Detection of COPD Exacerbations Using Hyfe

Typeobservational_patient_registrySponsorClinica Universidad de Navarra, Universidad de NavarraRan2025 to 2026Enrolled50ConditionsChronic Obstructive Pulmonary Disease (COPD)
3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 30 citations in OpenAlex.

  1. Observational
  2. Review
  3. Review
  4. Article
  5. Observational
  6. Article
  7. Review
  8. Digital twins for chronic lung diseases.European respiratory review : an official journal of the European Respiratory Society · 2024
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. The Symptoms of Pulmonary Sarcoidosis.Journal of clinical medicine · 2023
    Review
  16. Review
  17. Measuring cough: what really matters?Journal of thoracic disease · 2023
    Review
  18. Review
  19. Article
  20. 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

10 authors at 6 institutions in 3 countries.

Juan C Gabaldón-FigueiraDept of Microbiology and Infectious Diseases, Clinica Universidad de Navarra, Pamplona, Spain.ORCID https://orcid.org/0000-0002-2525-0263
Eric KeenResearch and Development Dept, Hyfe Inc, Wilmington, DE, USA.
Matthew RuddResearch and Development Dept, Hyfe Inc, Wilmington, DE, USA.
Virginia OrriloSchool of Pharmacy and Nutrition, University of Navarra, Pamplona, Spain.
Isabel BlaviaSchool of Pharmacy and Nutrition, University of Navarra, Pamplona, Spain.
Juliane ChaccourDept of Microbiology and Infectious Diseases, Clinica Universidad de Navarra, Pamplona, Spain.ORCID https://orcid.org/0000-0001-9812-050X
Mindaugas GalvosasResearch and Development Dept, Hyfe Inc, Wilmington, DE, USA.
Peter SmallResearch and Development Dept, Hyfe Inc, Wilmington, DE, USA.
Simon Grandjean LapierreImmunopathology Axis, Research Center of the University of Montreal Hospital Center, Montréal, QC, Canada.ORCID https://orcid.org/0000-0003-3646-1573
Carlos ChaccourDept of Microbiology and Infectious Diseases, Clinica Universidad de Navarra, Pamplona, Spain.ORCID https://orcid.org/0000-0001-9812-050X
Clinica Universidad de Navarra · ESUniversidad de Navarra · ESCentro de Investigación Biomédica en Red · ESSewanee: The University of the South · USUniversité de Montréal · CAUniversity of Washington · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Research question: What is the impact of the duration of cough monitoring on its accuracy in detecting changes in the cough frequency? Materials and methods: This is a statistical analysis of a prospective cohort study. Participants were recruited in the city of Pamplona (Northern Spain), and their cough frequency was passively monitored using smartphone-based acoustic artificial intelligence software. Differences in cough frequency were compared using a one-tailed Mann-Whitney U test and a randomisation routine to simulate 24-h monitoring. Results: 616 participants were monitored for an aggregated duration of over 9 person-years and registered 62 325 coughs. This empiric analysis found that an individual's cough patterns are stochastic, following a binomial distribution. When compared to continuous monitoring, limiting observation to 24 h can lead to inaccurate estimates of change in cough frequency, particularly in persons with low or small changes in rate. Interpretation: Detecting changes in an individual's rate of coughing is complicated by significant stochastic variability within and between days. Assessing change based solely on intermittent sampling, including 24-h, can be misleading. This is particularly problematic in detecting small changes in individuals who have a low rate and/or high variance in cough pattern.

Identifiers

PMID35586452
PMCPMC9108969
OpenAlexW4220920677

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

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.