Evidence map›Paper›PMID 39860774›Full record

ArticleSensors (Basel, Switzerland)2025

Nighttime Cough Characteristics in Chronic Obstructive Pulmonary Disease Patients.

Albertus C den Brinker, Okke Ouweltjes, Ronald Rietman, Susannah Thackray-Nocera, Michael G Crooks, Alyn H Morice

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. 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
–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

2 citing papers in PubMed.

  1. Converting a Cough Counter into a Cough Monitor: A Way Forward?Medical sciences (Basel, Switzerland) · 2026
    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

6 authors.

Albertus C den BrinkerIndependent Researcher, 5708 DJ Helmond, The Netherlands.ORCID 0000-0002-1679-7574
Okke OuweltjesPhilips Digital Standardization & Licensing Research, 5656 AE Eindhoven, The Netherlands.
Ronald RietmanPhilips I&S, Innovation Engineering, Data Science and AI, 5656 AE Eindhoven, The Netherlands.ORCID 0009-0004-1098-4784
Susannah Thackray-NoceraDepartment of Academic Respiratory Medicine, Centre for Cardiovascular and Metabolic Research, Hull York Medical School, Cottingham HU16 5JQ, UK.ORCID 0000-0002-9057-3608
Michael G CrooksDepartment of Academic Respiratory Medicine, Centre for Cardiovascular and Metabolic Research, Hull York Medical School, Cottingham HU16 5JQ, UK.ORCID 0000-0001-6876-0258
Alyn H MoriceDepartment of Academic Respiratory Medicine, Centre for Cardiovascular and Metabolic Research, Hull York Medical School, Cottingham HU16 5JQ, UK.ORCID 0000-0002-6135-9610

Funding

Philips (Netherlands) NA
6 · The paper itself

Abstract

Coughing is a symptom of many respiratory diseases. An increased amount of coughs may signal an (upcoming) health issue, while a decreasing amount of coughs may indicate an improved health status. The presence of a cough can be identified by a cough classifier. The cough density fluctuates considerably over the course of a day with a pattern that is highly subject-dependent. This paper provides a case study of cough patterns from Chronic Obstructive Pulmonary Disease (COPD) patients as determined by a stationary semi-automated cough monitor. It clearly demonstrates the variability of cough density over the observation time, its patient specificity and dependence on health status. Furthermore, an earlier established empirical finding of a linear relation between mean and standard deviation of a session's cough count is validated. An alert mechanism incorporating these findings is described.

Indexed as

CoughPulmonary Disease, Chronic ObstructiveAgedFemaleHumansMaleMiddle AgedMonitoring, Physiologicacute exacerbationalertCOPDcough

Identifiers

PMID39860774
PMCPMC11768643

What OpenQuestion holds

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Registered trials

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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.