Evidence map›Paper›PMID 41362086›Full record

ArticleTuberculosis and respiratory diseases2026

Objective Assessment of the Cough: Listening to the Patient's Voice. A Narrative Review.

Tai Joon An

Abstract read
In one paragraph

Article in Tuberculosis and respiratory diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

1 author.

Tai Joon AnDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Yeouido St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite its prevalence-affecting up to 10% of adults worldwide-objective measurement of the cough-one of the most common yet least quantifiable respiratory symptoms-remains challenging. Conventional descriptors, such as 'frequent' or 'severe,' are inherently subjective and poorly reproducible, limiting clinical interpretation and standardization. Over the past five decades, technological advances have transformed cough assessment from manual counting and provocation testing to automated acoustic monitoring and neurophysiologic imaging. Modern validated systems, such as the Leicester cough monitor and VitaloJAK Cough monitoring system, provide reproducible measures of cough frequency, now accepted as regulatory trial endpoints. In contrast, cough intensity remains difficult to capture objectively. While physiologic tools that include peak cough flow, esophageal manometry, and electromyography provide mechanistic insights, they are invasive, and impractical for real-world use. Acoustic amplitude serves as a promising noninvasive surrogate, but suffers from ambient noise interference and lack of cross-device calibration. Functional magnetic resonance imaging and experimental brain positron emission tomography have further revealed cortical and subcortical dysregulation underlying cough hypersensitivity, reframing the chronic cough as a disorder of aberrant sensory processing. However, these approaches remain research tools, constrained by cost, accessibility, and limited validation. The future of cough assessment lies in integrated, multimodal systems that combine physioclassilogic, acoustic, and neuroimaging signals through AI-based analytics. Such approaches could transform the cough into a measurable digital biomarker-an objective 'fifth vital sign.' Realizing this vision will require collaborative efforts among clinicians, engineers, and policymakers to ensure validation, standardization, and clinical applicability.

Indexed as

BiomarkersChronic CoughCoughCough Hypersensitivity SyndromeMonitoring, Physiologic

Identifiers

PMID41362086
PMCPMC13065402

What Socratic holds

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LicenceCC BY-NC
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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 Socratic graph.