Evidence map›Paper›PMID 27450155›Full record

ArticleBMC psychiatry2016

Development and validation of clinical profiles of patients hospitalized due to behavioral and psychological symptoms of dementia.

Claudia Ortoleva Bucher, Nicole Dubuc, Armin von Gunten, Lise Trottier, Diane Morin

Abstract readValidation Study
In one paragraph

Article in BMC psychiatry, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Prolonged Hospitalisations in People With Dementia and Comorbid Mental and Behavioural Disorders-A Data Linkage Study.Psychogeriatrics : the official journal of the Japanese Psychogeriatric Society · 2026
    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

5 authors.

Claudia Ortoleva BucherInstitute of Higher Education and Research in Healthcare (IUFRS), Faculty of Biology and Medicine, University of Lausanne and Lausanne University Hospital, Route de la Corniche 10, 1010, Lausanne, Switzerland. claudia.ortolevabucher@unil.ch.
Nicole DubucResearch Centre on Aging, Sherbrooke University Geriatrics Institute, Quebec, Canada.
Armin von GuntenService of Old Age Psychiatry, Department of Psychiatry, Lausanne University Hospital, Lausanne, Switzerland.
Lise TrottierResearch Centre on Aging, Sherbrooke University Geriatrics Institute, Quebec, Canada.
Diane MorinInstitute of Higher Education and Research in Healthcare (IUFRS), Faculty of Biology and Medicine, University of Lausanne and Lausanne University Hospital, Route de la Corniche 10, 1010, Lausanne, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients hospitalized on acute psychogeriatric wards are a heterogeneous population. Cluster analysis is a useful statistical method for partitioning a sample of patients into well separated groups of patients who present common characteristics. Several patient profile studies exist, but they are not adapted to acutely hospitalized psychogeriatric patients with cognitive impairment. The present study aims to partition patients hospitalized due to behavioral and psychological symptoms of dementia into profiles based on a global evaluation of mental health using cluster analysis.

methodsUsing nine of the 13 items from the Health of the Nation Outcome Scales for elderly people (HoNOS65+), data were collected from a sample of 542 inpatients with dementia who were hospitalized between 2011 and 2014 in acute psychogeriatric wards of a Swiss university hospital. An optimal clustering solution was generated to represent various profiles, by using a mixed approach combining hierarchical and non-hierarchical (k-means) cluster analyses associated with a split-sample cross-validation. The quality of the clustering solution was evaluated based on a cross-validation, on a k-means method with 100 random initial seeds, on validation indexes, and on clinical interpretation.

resultsThe final solution consisted of four clinically distinct and homogeneous profiles labeled (1) BPSD-affective, (2) BPSD-functional, (3) BPSD-somatic and (4) BPSD-psychotic according to their predominant clinical features. The four profiles differed in cognitive status, length of hospital stay, and legal admission status.

conclusionIn the present study, clustering methods allowed us to identify four profiles with distinctive characteristics. This clustering solution may be developed into a classification system that may allow clinicians to differentiate patient needs in order to promptly identify tailored interventions and promote better allocation of available resources.

Indexed as

HospitalizationAgedAged, 80 and overApathyCognition DisordersDementiaFemaleHumansInpatientsLength of StayMaleSymptom AssessmentAgedClusteringDementiaInpatientsPsychogeriatrics

Identifiers

PMID27450155
PMCPMC4957848

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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.