Evidence map›Paper›PMID 41426988›Full record

ArticleFrontiers in neurology2025

Diagnostic utility of smartphone-integrated gait analysis in the assessment of BPPV.

Kasım Durmus, Adem Bora, Baris Sapci, Marwan Khaled Al-Hazzar, Kerem Akti, Melek Kekul Sapci, Emine Elif Altuntas

Erratum issuedAbstract read
In one paragraph

Article in Frontiers in neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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

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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. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Kasım DurmusMedicana International Izmir Hospital, Izmir, Türkiye.
Adem BoraDepartment of Otorhinolaryngology, Sivas Cumhuriyet University, Sivas, Türkiye.
Baris SapciDepartment of Otorhinolaryngology, Sivas Cumhuriyet University, Sivas, Türkiye.
Marwan Khaled Al-HazzarDepartment of Otorhinolaryngology, Sivas Cumhuriyet University, Sivas, Türkiye.
Kerem AktiTed Sivas Koleji, Sivas, Türkiye.
Melek Kekul SapciDepartment of Healthcare Programme, Vocational School of Health Services, Sivas Cumhuriyet University, Sivas, Türkiye.
Emine Elif AltuntasDepartment of Otorhinolaryngology, Lokman Hekim Universit, Ankara, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Benign Paroxysmal Positional Vertigo (BPPV) is the most common vestibular disorder causing gait disturbances. Smartphone-based gait analysis has emerged as a portable, cost-effective alternative to laboratory-based assessments. Objective: To evaluate the diagnostic utility of smartphone-based gait analysis in BPPV patients and its effectiveness in assessing treatment outcomes following canalith repositioning maneuvers. Methods: This prospective case-control study included 26 patients with posterior canal BPPV and 37 demographically matched healthy controls. Gait analysis was performed using a smartphone application with participants walking 25 meters at a self-selected pace. In the BPPV group, measurements were repeated after Epley maneuver. Patient-reported outcomes were assessed using the Vertigo Symptom Scale (VSS), Vertigo Dizziness Imbalance Symptom Scale (VDI-SS), and Health Related Quality of Life (VDI -HRQoL). Results: Compared to controls, BPPV patients demonstrated significantly fewer steps (31.31 ± 6.07 vs. 27.73 ± 6.52, Conclusion: Smartphone-based gait analysis can identify characteristic gait abnormalities in BPPV patients, suggesting its potential as a complementary diagnostic tool. However, it appears less sensitive for detecting early post-treatment biomechanical changes despite symptomatic improvement. Further validation studies with larger samples and extended follow-up periods are warranted.

Indexed as

accelerometerbenign paroxysmal positional vertigogait analysismobile applicationssmartphonevertigovestibular disorders

Identifiers

PMID41426988
PMCPMC12716158

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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.