ReviewJournal of thoracic disease2020
The present and future of cough counting tools.
Review in Journal of thoracic disease, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05042063 (Acoustic Cough Monitoring for the Management of Patients With Known Respiratory Disease), which is not on this map. Cited by 43 papers, 3 of them syntheses that pooled 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.
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.
Acoustic Cough Monitoring for the Management of Patients With Known Respiratory Disease
Who cites it
43 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Diagnostic Accuracy of Cough Frequency Monitors: A Systematic Review and Meta-Analysis.Respirology (Carlton, Vic.) · 2026Pooled it
- Quality of life assessment tools for chronic cough in children: a systematic review.Frontiers in public health · 2025Pooled it
- Cough monitoring systems in adults with chronic respiratory diseases: a systematic review.European respiratory review : an official journal of the European Respiratory Society · 2025Pooled it
- Efficacy and Safety of Zihua Wenfei Zhisou Granule in Treatment of Postinfectious Cough: A Multicenter, Randomized, Double-Blind, Placebo-Controlled, Phase II Clinical Trial.Chinese journal of integrative medicine · 2025Trial
- Article
- Cough in Interstitial Lung Disease: Current Knowledge and Research Gaps.Pulmonary therapy · 2026Review
- Steamed hay for the prevention of severe equine asthma exacerbations.Equine veterinary journal · 2026Article
- Converting a Cough Counter into a Cough Monitor: A Way Forward?Medical sciences (Basel, Switzerland) · 2026Review
- The value of continuous cough monitoring: a narrative review.Journal of thoracic disease · 2025Review
- Spatiotemporal Feature Learning for Daily-Life Cough Detection Using FMCW Radar.Bioengineering (Basel, Switzerland) · 2025Article
- Article
- Continuous digital cough monitoring during 6-month pulmonary tuberculosis treatment.ERJ open research · 2025Article
- Nighttime Cough Characteristics in Chronic Obstructive Pulmonary Disease Patients.Sensors (Basel, Switzerland) · 2025Article
- Validation and accuracy of the Hyfe cough monitoring system: a multicenter clinical study.Scientific reports · 2025Observational
- Examining Cough's Role and Relief Strategies in Interstitial Lung Disease.Journal of clinical medicine · 2025Review
- Patient-reported assessments of chronic cough in clinical trials: accessory or primary endpoints?Journal of thoracic disease · 2024Review
- Development of a Miniaturized Mechanoacoustic Sensor for Continuous, Objective Cough Detection, Characterization and Physiologic Monitoring in Children With Cystic Fibrosis.IEEE journal of biomedical and health informatics · 2024Article
- Article
- Leveraging AI and Machine Learning to Develop and Evaluate a Contextualized User-Friendly Cough Audio Classifier for Detecting Respiratory Diseases: Protocol for a Diagnostic Study in Rural Tanzania.JMIR research protocols · 2024Article
- An AI-Enabled Bias-Free Respiratory Disease Diagnosis Model Using Cough Audio.Bioengineering (Basel, Switzerland) · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The widespread use of cough counting tools has, to date, been limited by a reliance on human input to determine cough frequency. However, over the last two decades advances in digital technology and audio capture have reduced this dependence. As a result, cough frequency is increasingly recognised as a measurable parameter of respiratory disease. Cough frequency is now the gold standard primary endpoint for trials of new treatments for chronic cough, has been investigated as a marker of infectiousness in tuberculosis (TB), and used to demonstrate recovery in exacerbations of chronic obstructive pulmonary disease (COPD). This review discusses the principles of automatic cough detection and summarises key currently and recently used cough counting technology in clinical research. It additionally makes some predictions on future directions in the field based on recent developments. It seems likely that newer approaches to signal processing, the adoption of techniques from automatic speech recognition, and the widespread ownership of mobile devices will help drive forward the development of real-time fully automated ambulatory cough frequency monitoring over the coming years. These changes should allow cough counting systems to transition from their current status as a niche research tool in chronic cough to a much more widely applicable method for assessing, investigating and understanding respiratory disease.
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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.