Evidence map›Paper›PMID 42842052›Full record

SynthesisNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2026

Clinical features of cough syncope: a systematic review.

Yanqin Fan, Meng Hou, Haili Wang, Jingke Le, Liming Cao

Abstract readSystematic ReviewCase Reports
In one paragraph

Synthesis in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Yanqin Fan *Department of Neurology, The First Affiliated Hospital of Shenzhen University, Shenzhen, 518000, China.
Meng HouKuichong Community Health Service Center, Shenzhen Dapeng New District Medical and Health Group, Shenzhen, China.
Haili WangGuangxi University of Chinese Medicine, Nanning, China.
Jingke LeAffiliated Hospital of traditional Chinese medicine, Chongqing Three Gorges Medical College, Chongqing, China.
Liming Cao *Department of Neurology, The First Affiliated Hospital of Shenzhen University, Shenzhen, 518000, China. caolm-2007@163.com.ORCID http://orcid.org/0000-0003-2836-9347

Funding

Noncommunicable Chronic Diseases/National Science and Technology Major Project No: 2023ZD0504800, 2023ZD0504802Shenzhen Clinical Research Center for Neurological Diseases No. LCYSSQ20220823091204009 , SCRCND202503Shenzhen Medical-Preventive Integration Project (Neurological Diseases) Shenzhen Medical-Preventive Integration Project (Neurological Diseases)
6 · The paper itself

Abstract

backgroundCough syncope (CS) is a rare subtype of syncope that remains underrepresented in evidence-based medicine. We aimed to characterize the clinical features of CS, with the aim of improving recognition and optimizing management strategies.

methodsWe present five cases of CS alongside a systematic review of its clinical characteristics based on published literature to improve recognition and optimize management. Reports of eligible patients were screened, and demographic, clinical, diagnostic, treatment, and outcome data were analyzed.

resultsThis study included 60 patients with a mean age of 56 ± 15 years, 91% of whom were male. The most common underlying triggers were respiratory diseases, including pulmonary infections (35%) and bronchitis (22%). Common comorbidities included hypertension (26%), bronchial asthma (18%), and diabetes mellitus (15%). CS episodes were directly triggered by severe coughing in 93% (26/28) of patients. Episodes occurred at least twice daily in 20% of patients, and limb convulsions accompanied syncope in 22%. Symptoms improved after treatment in 98% of cases. After a median follow-up of 3.75 months (Interquartile Range: 2-12 months), the recurrence rate of syncope was 11%. CS, predominantly triggered by severe coughing, primarily affected middle-aged and older men.

conclusionsCS predominantly affects middle-aged and older men and is frequently associated with pulmonary infections. Acute pulmonary infections serve as a common underlying trigger for CS, and patients are at risk of recurrent syncope and falls. Disease management should be focused on treating chronic airway disease, particularly chronic obstructive pulmonary disease.

Indexed as

CoughSyncopeAdultAgedFemaleHumansMaleMiddle AgedAnti-infective therapyCough syncopePulmonary infectionReflex syncopeSevere cough

Identifiers

PMID42842052
PMCPMC13645981

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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.