Evidence map›Paper›PMID 35063023›Full record

ArticleAlzheimer's research & therapy2022

Parsing heterogeneity within dementia with Lewy bodies using clustering of biological, clinical, and demographic data.

Carla Abdelnour, Daniel Ferreira, Marleen van de Beek, Nira Cedres, Ketil Oppedal, Lena Cavallin, Frédéric Blanc, Olivier Bousiges, Lars-Olof Wahlund, Andrea Pilotto and 7 more

Abstract read
In one paragraph

Article in Alzheimer's research & therapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Examining the lived experience of dementia with Lewy bodies through qualitative research: A systematic review.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Pooled it
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  10. Plasma biomarkers of Alzheimer's disease in the continuum of dementia with Lewy bodies.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
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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

17 authors.

Carla Abdelnour *Research Center and Memory Clinic, Ace Alzheimer Center Barcelona, Institut Català de Neurociències Aplicades, Universitat Internacional de Catalunya-Barcelona, Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), Barcelona, Spain. carla.abdelnour@gmail.com.ORCID 0000-0002-7636-9758
Daniel Ferreira *Division of Clinical Geriatrics, Centre for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden.
Marleen van de BeekAlzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.
Nira CedresDivision of Clinical Geriatrics, Centre for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden.
Ketil OppedalCentre for Age-Related Medicine, Stavanger University Hospital, Stavanger, Norway.
Lena CavallinDepartment of Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Frédéric BlancService, Memory Resources and Research Centre, University Hospital of Strasbourg, Strasbourg, France.
Olivier BousigesCentre Mémoire, de Ressources et de Recherche d'Alsace (Strasbourg-Colmar), Strasbourg, France.
Lars-Olof WahlundDivision of Clinical Geriatrics, Centre for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden.
Andrea PilottoNeurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy.
Alessandro PadovaniNeurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy.
Mercè BoadaResearch Center and Memory Clinic, Ace Alzheimer Center Barcelona, Institut Català de Neurociències Aplicades, Universitat Internacional de Catalunya-Barcelona, Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), Barcelona, Spain.
Javier PagonabarragaMovement Disorders Unit, Neurology Department, Hospital de la Santa Creu i Sant Pau. Biomedical Research Institute (IIB-Sant Pau), Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), Barcelona, Spain.
Jaime KulisevskyMovement Disorders Unit, Neurology Department, Hospital de la Santa Creu i Sant Pau. Biomedical Research Institute (IIB-Sant Pau), Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), Barcelona, Spain.
Dag AarslandCentre for Age-Related Medicine, Stavanger University Hospital, Stavanger, Norway.
Afina W Lemstra *Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.
Eric Westman *Division of Clinical Geriatrics, Centre for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDementia with Lewy bodies (DLB) includes various core clinical features that result in different phenotypes. In addition, Alzheimer's disease (AD) and cerebrovascular pathologies are common in DLB. All this increases the heterogeneity within DLB and hampers clinical diagnosis. We addressed this heterogeneity by investigating subgroups of patients with similar biological, clinical, and demographic features.

methodsWe studied 107 extensively phenotyped DLB patients from the European DLB consortium. Factorial analysis of mixed data (FAMD) was used to identify dimensions in the data, based on sex, age, years of education, disease duration, Mini-Mental State Examination (MMSE), cerebrospinal fluid (CSF) levels of AD biomarkers, core features of DLB, and regional brain atrophy. Subsequently, hierarchical clustering analysis was used to subgroup individuals based on the FAMD dimensions.

resultsWe identified 3 dimensions using FAMD that explained 38% of the variance. Subsequent hierarchical clustering identified 4 clusters. Cluster 1 was characterized by amyloid-β and cerebrovascular pathologies, medial temporal atrophy, and cognitive fluctuations. Cluster 2 had posterior atrophy and showed the lowest frequency of visual hallucinations and cognitive fluctuations and the worst cognitive performance. Cluster 3 had the highest frequency of tau pathology, showed posterior atrophy, and had a low frequency of parkinsonism. Cluster 4 had virtually normal AD biomarkers, the least regional brain atrophy and cerebrovascular pathology, and the highest MMSE scores.

conclusionsThis study demonstrates that there are subgroups of DLB patients with different biological, clinical, and demographic characteristics. These findings may have implications in the diagnosis and prognosis of DLB, as well as in the treatment response in clinical trials.

Indexed as

Alzheimer DiseaseLewy Body DiseaseAmyloid beta-PeptidesCluster AnalysisDemographyHumansAmyloid beta-PeptidesAlzheimer’s diseaseBiomarkersDementia with Lewy bodiesFactorial analysisHeterogeneityHierarchical clustering

Identifiers

PMID35063023
PMCPMC8783432

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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.