Evidence map›Paper›PMID 29535671›Full record

ArticleFrontiers in neurology2018

Predictive Capability of an iPad-Based Medical Device (me

Katharina Feil, Regina Feuerecker, Nicolina Goldschagg, Ralf Strobl, Thomas Brandt, Albrecht von Müller, Eva Grill, Michael Strupp

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neurology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.4field-weighted citation impact, top 18% of its field
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

11 citing papers in PubMed, 25 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Article
  6. Curriculum for Vestibular Medicine (VestMed) proposed by the Bárány Society.Journal of vestibular research : equilibrium & orientation · 2022
    Article
  7. Review
  8. Vestibular Disorders.Deutsches Arzteblatt international · 2020
    Review
  9. A Novel Diagnostic Prediction Model for Vestibular Migraine.Neuropsychiatric disease and treatment · 2020
    Article
  10. Benign Positional Paroxysmal Vertigo Treatment: a Practical Update.Current treatment options in neurology · 2019
    Review
  11. 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 at 2 institutions in 1 country.

Katharina FeilDepartment of Neurology, University Hospital, Ludwig-Maximilians-Universität München, Munich, Germany.
Regina FeuereckerDepartment of Neurology, University Hospital, Ludwig-Maximilians-Universität München, Munich, Germany.
Nicolina GoldschaggDepartment of Neurology, University Hospital, Ludwig-Maximilians-Universität München, Munich, Germany.
Ralf StroblGerman Center for Vertigo and Balance Disorders, University Hospital, Ludwig-Maximilians-Universität München, Munich, Germany.
Thomas BrandtGerman Center for Vertigo and Balance Disorders, University Hospital, Ludwig-Maximilians-Universität München, Munich, Germany.
Albrecht von MüllerParmenides Foundation, Pullach im Isartal, Germany.
Eva GrillGerman Center for Vertigo and Balance Disorders, University Hospital, Ludwig-Maximilians-Universität München, Munich, Germany.
Michael StruppDepartment of Neurology, University Hospital, Ludwig-Maximilians-Universität München, Munich, Germany.
Ludwig-Maximilians-Universität München · DEParmenides Foundation · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMaking the correct diagnosis of patients presenting with vertigo and dizziness in clinical practice is often challenging.

objectiveIn this study we examined the performance of the iPad based program me PATIENTS AND

methodsThe data collection was done in the outpatient clinic of the German Center of Vertigo and Balance Disorders. The "gold standard diagnosis" was defined as the clinical diagnosis of the specialist during the visit of the patient based on standardized history and clinical examination. Another independent and blinded physician finalized each patient's case in the constellatory diagnostic system of me

resultsA total of 610 patients (mean age 58.1 ± 16.3 years, 51.2% female) were included. The accuracy for the most common diagnoses was between 82.1 and 96.6% with a sensitivity of 40 to 80.5% and a specificity of more than 80%. When analyzing the quality of me

conclusionThis study demonstrates that me

Indexed as

diagnosisdizzinessiPadmedical devicesvertigovestibular

Identifiers

PMID29535671
PMCPMC5835100
OpenAlexW2792677676

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.