Evidence map›Paper›PMID 41799876›Full record

ReviewSpartan medical research journal2025

Improving the Diagnostic Workup of Vertigo: A Multidisciplinary Review.

Vivek Patil, Suhas B Nagappala, Ananya Murali, Kristof Pusztai, Jithin John, Lauren Ghannam, Abigail Entz, Andrew Ross

Abstract readReview
In one paragraph

Review in Spartan medical research journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  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

8 authors.

Vivek PatilCollege of Medicine - Tucson University of Arizona, , Tucson, AZ, USA.ORCID https://orcid.org/0009-0008-7010-7934
Suhas B NagappalaSchool of Medicine Wayne State University, Detroit, MI, USA.ORCID https://orcid.org/0000-0003-4754-3670
Ananya MuraliSchool of Medicine Wayne State University, Detroit, MI, USA.
Kristof PusztaiStatistics Columbia University, New York, NY, USA.
Jithin JohnOtolaryngology-Head and Neck Surgery Detroit Medical Center, Detroit, MI, USA.
Lauren GhannamHenry Ford Hospital, Detroit, MI, USA.
Abigail EntzSchool of Medicine Wayne State University, Detroit, MI, USA.
Andrew RossOtolaryngology-Head and Neck Surgery Detroit Medical Center, Detroit, MI, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This Clinical (Narrative) Review addresses potential improvements to the diagnostic workup of vertigo. Despite substantial healthcare expenditures, diagnostic accuracy for vertigo remains suboptimal, and many patients undergo extensive testing without timely identification of the underlying cause. The available literature, with a focus on articles published after 2015, was narratively reviewed for novel risk stratification metrics, clinical pathways, questionnaires, and technological tools that have been developed and studied for improving the diagnostic efficiency and accuracy of vertigo. Recent developments in the workup of vertigo are diverse and show potential for accurately stratifying patients by peripheral versus central etiology. As with any new clinical tools, there are barriers when it comes to implementing them into an emergency or primary care setting. AI/ML-based models are promising; however, further study is needed. These tools may support improved efficiency of the evaluation and management of patients who present with vertigo.

Indexed as

algorithmsartificial intelligenceDix-Hallpikemachine learningnystagmusvertigo

Identifiers

PMID41799876
PMCPMC12965743

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.