Evidence map›Paper›PMID 31940419›Full record

ArticlePloS one2020

Staging dementia based on caregiver reported patient symptoms: Implications from a latent class analysis.

Qi Yuan, Tee Hng Tan, Peizhi Wang, Fiona Devi, Hui Lin Ong, Edimansyah Abdin, Magadi Harish, Richard Goveas, Li Ling Ng, Siow Ann Chong and 1 more

Abstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

11 authors.

Qi YuanResearch Division, Institute of Mental Health, Singapore.ORCID 0000-0002-5271-6954
Tee Hng TanResearch Division, Institute of Mental Health, Singapore.
Peizhi WangResearch Division, Institute of Mental Health, Singapore.
Fiona DeviResearch Division, Institute of Mental Health, Singapore.
Hui Lin OngResearch Division, Institute of Mental Health, Singapore.
Edimansyah AbdinResearch Division, Institute of Mental Health, Singapore.
Magadi HarishDepartment of Geriatric Psychiatry, Institute of Mental Health, Singapore.
Richard GoveasDepartment of Geriatric Psychiatry, Institute of Mental Health, Singapore.
Li Ling NgDepartment of Psychological Medicine, Changi General Hospital, Singapore.
Siow Ann ChongResearch Division, Institute of Mental Health, Singapore.
Mythily SubramaniamResearch Division, Institute of Mental Health, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTailoring interventions to the needs of caregivers is an important feature of successful caregiver support programs. To improve cost-effectiveness, group tailoring based on the stage of dementia could be a good alternative. However, existing staging strategies mostly depend on trained professionals.

objectiveThis study aims to stage dementia based on caregiver reported symptoms of persons with dementia.

methodsLatent class analysis was used. The classes derived were then mapped with disease duration to define the stages. Logistic regression with receiver operating characteristic curve was used to generate the optimal cut-offs.

resultsLatent class analysis suggested a 4-class solution, these four classes were named as early (25.9%), mild (25.2%), moderate (16.7%) and severe stage (32.3%). The stages based on the cut-offs generated achieved an overall accuracy of 90.8% compared to stages derived from latent class analysis.

conclusionThe current study confirmed that caregiver reported patient symptoms could be used to classify persons with dementia into different stages. The new staging strategy is a good complement of existing dementia clinical assessment tools in terms of better supporting informal caregivers.

Indexed as

AgedCaregiversDementiaFamilyFemaleHumansLatent Class AnalysisMaleMiddle AgedPatients

Identifiers

PMID31940419
PMCPMC6961931

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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.