Evidence map›Paper›PMID 39397912›Full record

ArticleHeliyon2024

R-cVR, a two-step bedside algorithm for the differential diagnosis of acute dizziness and vertigo.

Mingxia Li, Bichun Tan, Qingnan Wu, Shuangxi Liu, Jun Zhou, Liqian Xiao, Meng Nie, Fengyu Ming, Jing Zhou, Xing Luo and 1 more

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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

11 authors.

Mingxia LiDepartment of Neurology, Hunan University of Medicine General Hospital, 418000, Hunan, PR China.
Bichun TanDepartment of Neurology, People's Hospital of Mayang Miao Autonomous County, Hunan, 419400, PR China.
Qingnan WuDepartment of Neurology, Hunan University of Medicine General Hospital, 418000, Hunan, PR China.
Shuangxi LiuDepartment of Neurology, Hunan University of Medicine General Hospital, 418000, Hunan, PR China.
Jun ZhouDepartment of Neurology, Hunan University of Medicine General Hospital, 418000, Hunan, PR China.
Liqian XiaoDepartment of Health Management Center, Hunan University of Medicine General Hospital, 418000, Hunan, PR China.
Meng NieDepartment of Neurology, Hunan University of Medicine General Hospital, 418000, Hunan, PR China.
Fengyu MingDepartment of Neurology, Hunan University of Medicine General Hospital, 418000, Hunan, PR China.
Jing ZhouDepartment of Scientific Research, Hunan University of Medicine General Hospital, 418000, Hunan, PR China.
Xing LuoEvidence-Based Medicine and Clinical Center, Hunan University of Medicine General Hospital, 418000, Hunan, PR China.
Junjie YinDepartment of Neurology, Hunan University of Medicine General Hospital, 418000, Hunan, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The ability to quickly and accurately differentiate between peripheral and central dizziness or vertigo is vital. We developed the R-cVR algorithm for the early identification of central-type dizziness or vertigo. Methods: In this single-center, retrospective cohort study, we assessed patients with isolated dizziness or vertigo between December 10, 2023, and February 28, 2024. Classification into central or peripheral types was based on magnetic resonance imaging (MRI)-diffusion-weighted imaging (DWI) results. We reevaluated the diagnostic value of the Romberg test for acute dizziness or vertigo by quantifying the duration of standing and created the R-cVR algorithm. The algorithm's accuracy was subsequently validated against the MRI-DWI results. Results: After screening, 109 patients were recruited and divided into central (n = 25) and peripheral (n = 84) groups. The central group had a high incidence of cerebral infarction (88.0 %), whereas the peripheral group included patients with vestibular neuronitis, benign paroxysmal positional vertigo, and Meniere's disease (96.4 %). Significant disparities in the incidence of balance disorders were noted between the groups (92.0 % vs. 15.5 %, p < 0.001). Multivariate logistic regression revealed an odds ratio of 61.82 for balance disorders (p < 0.001). The R-cVR algorithm, which integrates the Romberg test and the V-shaped stance with closed-eyes protocol, was tested against MRI-DWI and yielded high diagnostic agreement (kappa = 0.80), with a sensitivity and specificity of 88.0 % and 94.0 %, respectively. There was no significant difference in the diagnostic efficacy of this algorithm for acute dizziness or vertigo with or without nystagmus. Conclusion: The R-cVR algorithm effectively identifies central-type dizziness or vertigo and is simple for general practitioners to use without specialized equipment, which may be valuable in various clinical settings.

Indexed as

Acute dizziness or vertigoBedside examinationDifferential diagnosisPostural balanceR-cVR algorithm

Identifiers

PMID39397912
PMCPMC11470403

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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.