Evidence map›Paper›PMID 38702563›Full record

ArticleJournal of neurology2024

Evaluation of a multimodal diagnostic algorithm for prediction of cognitive impairment in elderly patients with dizziness.

K Felfela, N Jooshani, K Möhwald, D Huppert, S Becker-Bense, F Schöberl, R Schniepp, F Filippopulos, M Dieterich, M Wuehr and 1 more

Abstract read
In one paragraph

Article in Journal of neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

K Felfela *German Center for Vertigo and Balance Disorders (DSGZ), LMU University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
N Jooshani *German Center for Vertigo and Balance Disorders (DSGZ), LMU University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
K MöhwaldGerman Center for Vertigo and Balance Disorders (DSGZ), LMU University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
D HuppertGerman Center for Vertigo and Balance Disorders (DSGZ), LMU University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
S Becker-BenseGerman Center for Vertigo and Balance Disorders (DSGZ), LMU University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
F SchöberlDepartment of Neurology, LMU University Hospital, LMU Munich, Munich, Germany.
R SchnieppGerman Center for Vertigo and Balance Disorders (DSGZ), LMU University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
F FilippopulosGerman Center for Vertigo and Balance Disorders (DSGZ), LMU University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
M DieterichGerman Center for Vertigo and Balance Disorders (DSGZ), LMU University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
M WuehrGerman Center for Vertigo and Balance Disorders (DSGZ), LMU University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
A ZwergalGerman Center for Vertigo and Balance Disorders (DSGZ), LMU University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany. andreas.zwergal@med.uni-muenchen.de.ORCID http://orcid.org/0000-0002-3839-8398

Funding

Bundesministerium für Bildung und Forschung 01 EO 1401
6 · The paper itself

Abstract

backgroundThe current diagnostic workup for chronic dizziness in elderly patients often neglects neuropsychological assessment, thus missing a relevant proportion of patients, who perceive dizziness as a subjective chief complaint of a concomitant cognitive impairment. This study aimed to establish risk prediction models for cognitive impairment in chronic dizzy patients based on data sources routinely collected in a dizziness center.

methodsOne hundred patients (age: 74.7

resultsThe linear regression model explained almost half of the variance of patients' total MoCA score (R

conclusionsThe need for cognitive testing in patients with chronic dizziness can be efficiently approximated by available data sources from routine diagnostic workup in a dizziness center.

Indexed as

Cognitive DysfunctionDizzinessAgedAged, 80 and overAlgorithmsAtrophyFemaleHumansMaleNeuropsychological TestsClinical vestibular testingCognitive impairmentDementiaDizzinessGait assessmentNeuroimaging

Identifiers

PMID38702563
PMCPMC11233323

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Registered trials

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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.