Evidence map›Paper›PMID 39197023›Full record

ArticleBrain and behavior2024

Assessment of swallowing performance in patients with neurodegenerative disease: A hierarchical cluster analysis.

Samet Tosun, Fenise Selin Karali, Dilber Kacar Kutukcu, Nilgün Cinar, Sude Kendirli, Meltem Sen Aksut, Ilayda Albayrak, Yusuf Celik

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

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0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Samet TosunFaculty of Health Sciences, Department of Speech and Language Therapy, Biruni University, Istanbul, Turkey.ORCID 0000-0002-9604-7430
Fenise Selin KaraliFaculty of Health Sciences, Department of Speech and Language Therapy, Biruni University, Istanbul, Turkey.
Dilber Kacar KutukcuFaculty of Health Sciences, Department of Speech and Language Therapy, Biruni University, Istanbul, Turkey.
Nilgün CinarSchool of Medicine, Department of Neurology, Maltepe University, Istanbul, Turkey.
Sude KendirliSchool of Medicine, Department of Neurology, Maltepe University, Istanbul, Turkey.
Meltem Sen AksutFaculty of Health Sciences, Department of Speech and Language Therapy, Biruni University, Istanbul, Turkey.
Ilayda AlbayrakFaculty of Health Sciences, Department of Speech and Language Therapy, Biruni University, Istanbul, Turkey.
Yusuf CelikSchool of Medicine, Department of Biostatistics and Medical Informatics, Biruni University, Istanbul, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSwallowing is a complex process that alters with age and neurological diseases; swallowing disorders can be a consequence of both of them. As an advanced multivariate statistical method, hierarchical cluster analysis (HCA) was utilized to make the dendrograms, which was used to find the relationship between the variables. The purpose of this study is to ascertain the type of clustering exhibited by the variables using HCA and to evaluate the approach to major neurodegenerative diseases (MND) with swallowing disorders based on the results obtained.

methodsData were collected from a total of 173 patients from various neurological diagnoses, such as dementia, Parkinson's disease, stroke and polyneuropathy, aging between 42 and 104 (mean of age 72.85) by using the Montreal Cognitive Assessment, the Edinburgh Feeding Evaluation Scale (EdFED), the Eating Assessment Tool (EAT-10), and the Modified Mann Swallowing Ability test. From the collected data, dendrograms were formed by using HCA with Ward linkage method.

resultsBased on cluster analysis results, clusters demonstrate statistical significance. They center around EdFED, EAT-10, and age in each MND. In healthy individuals, variables are not clustered as in the patient group. This study holds importance as it can give clinicians a different perspective on determining and managing the elderly population's swallowing problems.

conclusionsThe HCA method explicitly proposes which variables should be examined concurrently in the clinic for MND. This research is one of the pioneering studies conducted by using the HCA method.

Indexed as

Deglutition DisordersNeurodegenerative DiseasesAdultAgedAged, 80 and overCluster AnalysisDeglutitionFemaleHumansMaleMiddle Ageddementiadysphagianeurodegenerative diseasesswallowing

Identifiers

PMID39197023
PMCPMC11354087

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