Evidence map›Paper›PMID 42507211›Full record

ArticleEuropean archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery2026

A digital neurotology history: Characteristics and inter-rater reliability.

Miranda Morrison, Sally M Rosengren, Diego Herrero, Mihirini Abeywickrama, Peter Sw Park, Tram Bao Truong Nguyen, Neşe Ӧzalp, Chao Wang, Margot Woods, Kendall Bein and 9 more

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Article in European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery, 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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

19 authors.

Miranda MorrisonCentral Clinical School, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.
Sally M RosengrenCentral Clinical School, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.
Diego HerreroCentral Clinical School, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.
Mihirini AbeywickramaDepartment of Neurophysiology, Liverpool Hospital, Liverpool, NSW, Australia.
Peter Sw ParkDepartment of Neurophysiology, Liverpool Hospital, Liverpool, NSW, Australia.
Tram Bao Truong NguyenDepartment of Neurophysiology, Liverpool Hospital, Liverpool, NSW, Australia.
Neşe ӦzalpDepartment of Neurophysiology, Liverpool Hospital, Liverpool, NSW, Australia.
Chao WangCentral Clinical School, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.
Margot WoodsGeneral Practice and Primary Health Care Research Unit, The University of Notre Dame, Sydney, NSW, Australia.
Kendall BeinEmergency Department, Royal Prince Alfred Hospital, Camperdown, NSW, Australia.
Andrew P BradshawInstitute of Clinical Neurosciences, Royal Prince Alfred Hospital, Camperdown, NSW, Australia.
Benjamin NhamSchool of Medicine, St George and Sutherland Clinical Campus, University of New South Wales, Sydney, NSW, Australia.
Kunal ChaturvediSchool of Computer Science, Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, NSW, Australia.
Anousha RafiCentral Clinical School, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.
Cecilia Cappelen-SmithDepartment of Neurophysiology, Liverpool Hospital, Liverpool, NSW, Australia.
Zeljka CalicDepartment of Neurophysiology, Liverpool Hospital, Liverpool, NSW, Australia.
Deborah BlackFaculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.
Graham BrookerAustralian Centre for Robotics, The University of Sydney, Sydney, NSW, Australia.
Miriam S WelgampolaCentral Clinical School, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia. miriam.welgampola@sydney.edu.au.

Funding

National Health and Medical Research Council National Health and Medical Research CouncilPasse and Williams Foundation Australia Passe and Williams Foundation AustraliaSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
6 · The paper itself

Abstract

purposeDizziness is a common presenting symptom that is often misdiagnosed. The first step towards diagnosis of the underlying vestibular disorder is recognition of the vestibular syndrome, after which targeted examination and testing provide the diagnosis. We therefore developed and evaluated a digital history tool to aid clinicians in selecting the correct vestibular syndrome.

methodWe administered a 21-item symptom questionnaire to 201 patients at a tertiary-referral outpatient clinic and 54 patients in an emergency department. Two clinicians classified each patient with one or more of four syndromes: acute vestibular syndrome (AVS), episodic positional vertigo (EPV), episodic spontaneous vertigo (ESV) or chronic vestibular syndrome (CVS). We assessed inter-rater agreement in both locations and compared the syndromic diagnosis with a gold standard diagnosis in the outpatient clinic.

resultsInter-rater agreement was 0.66 in the outpatient clinic and 0.78 in emergency (Cohen's κ, p < 0.001). In outpatients, gold standard syndromic diagnoses were 11 AVS, 57 EPV, 88 ESV and 45 CVS. Sensitivity was greatest for ESV (86.4%), and moderate for AVS (54.5%), EPV (71.9%) and CSV (62.2%). Automated classification using if/then rules and logistic regression analyses produced similar outcomes.

conclusionOur history tool provided good reproducibility and accuracy in syndromic classification, showing promise for translation to frontline settings.

Indexed as

DizzinessMedical History TakingVertigoVestibular DiseasesAdultAgedDigital HealthFemaleHumansMaleMiddle AgedObserver VariationReproducibility of ResultsSurveys and QuestionnairesClinic decision support systemDigital historyDizzinessVertigo

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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 OpenQuestion graph.