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Record W4407577790 · doi:10.1186/s12877-025-05719-w

Association between pain and behavioral and psychological symptoms of dementia (BPSD) in older adults with dementia: a systematic review and meta-analysis

2025· review· en· W4407577790 on OpenAlexaboutno aff
Ye Xu, Q. Susan Li, Ling Zhu, Hongfei Jia, Kai Qian, Xianwen Li, Yueheng Yin, Yaping Ding

Bibliographic record

VenueBMC Geriatrics · 2025
Typereview
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsnot available
FundersJiangsu Provincial Department of EducationNatural Science Foundation of Jiangsu ProvinceGovernment of Jiangsu Province
KeywordsDementiaMedicineMeta-analysisRehabilitationAssociation (psychology)PsychiatryGerontologyClinical psychologyPhysical therapyPsychotherapistDiseasePsychologyInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Behavioral and Psychological Symptoms of Dementia (BPSD) are core and highly detrimental symptoms of dementia. Previous research has suggested a potential association between pain and BPSD, but pieces of evidence are lacking. OBJECTIVE: This study aimed to investigate the association between pain and BPSD in patients with dementia. METHODS: Seven databases were searched from inception to February 2024, including PubMed, Web of Science, Embase, CINAHL, Cochrane Library, China National Knowledge Infrastructure (CNKI), and WanFang Data. Cross-sectional and longitudinal studies were included. We included studies that involved older adults with dementia and assessed the pain and BPSD by using validated tools. The quality of cohort studies was assessed using the Newcastle-Ottawa Scale, and the quality of cross-sectional studies was evaluated using AHRQ criteria. Two researchers independently screened the articles, extracted the data, and assessed the quality of the studies. A meta-analysis was conducted using Stata 15.0. Data not suitable for meta-analysis was analyzed through a qualitative synthesis to provide a comprehensive overview of the findings. RESULTS: A total of 12 studies were included, comprising nine cross-sectional studies and three longitudinal studies. All studies were of medium to high quality. Studies reported that pain was associated with 13 different types of BPSD, including agitation, aggression, abnormal thought process, anxiety, care refusal, delirium, depression, delusions, hallucinations, sexual disinhibition, sleep disturbances, socially inappropriate behavior, and wandering. A pooled odds ratio (OR) of 1.25 (95%CI [1.17,1.33], p < 0.001) indicated a significant positive association between pain and BPSD. Specifically, pain was positively associated with aggression (OR = 1.07, 95%CI [1.00,1.13], p = 0.035), agitation (OR = 1.17, 95%CI [1.14, 1.21], p < 0.001), and depression (OR = 2.11, 95%CI [1.76,2.52], p < 0.001). However, pain was significantly negatively associated with wandering (OR = 0.77, 95%CI [0.73, 0.81], p < 0.001). CONCLUSIONS: Pain was significantly positively associated with BPSD in patients with dementia, specifically with aggression, depression, and agitation. However, pain was negatively associated with wandering. This emphasizes the importance of further research in this area and improved interventions for pain and BPSD management. TRIAL REGISTRATION: www.crd.york.ac.uk CRD42023432320, registered 08/08/2024.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.871
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0060.001
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.068
GPT teacher head0.391
Teacher spread0.322 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designMeta-analysis
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations12
Published2025
Admission routes1
Has abstractyes

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