Evidence map›Paper›PMID 40861761›Full record

ReviewCureus2025

Neuropsychiatric and Associated Symptoms and Their Management in Caregivers of Alzheimer's Disease Patients: A Systematic Review and Meta-Analysis.

Aiman A Sanosi, Omar A Ayoub, Mohammed I Habadi, Jihad A Muglan

Abstract readReview
In one paragraph

Review in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. 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

4 authors.

Aiman A SanosiMedicine, University of Jeddah, Jeddah, SAU.
Omar A AyoubNeurology, King Abdulaziz University Faculty of Medicine, Jeddah, SAU.
Mohammed I HabadiFamily and Community Medicine, University of Jeddah, Jeddah, SAU.
Jihad A MuglanNeurology Movement Disorders, Faculty of Medicine, Umm Al Qura University, Makkah, SAU.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alzheimer's disease (AD) patients' caregivers often experience neuropsychiatric and other associated symptoms due to the high physical and emotional demands of caregiving. Therefore, this meta-analysis aimed to evaluate the prevalence of these symptoms and the impact of various interventions on the reduction of these symptoms. Different electronic databases, like PubMed, Scopus, ScienceDirect, and Google Scholar, were used for the search of literature using the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines. The data obtained was analyzed qualitatively to summarize the general characteristics. Meanwhile, quantitative data were analyzed using Jamovi [The jamovi project (2025), jamovi (Version 2.6) Computer Software] and RevMan 5.4 (The Cochrane Collaboration, 2020), and forest plots were generated. In addition, funnel plots were used to describe the publication bias, and for the certainty of evidence, Grading of Recommendations Assessment, Development, and Evaluation (GRADE) was used. Methodological quality assessment was performed using the Cochrane Risk of Bias (RoB-2.0) tool for randomized trials and for non-randomized trials, RoB for non-randomized Studies-Intervention (ROBINS-I). After screening, 31 studies were included in the analysis. Two types of neuropsychiatric symptoms, such as anxiety and depression, were identified. The pooled prevalence effect size was 0.40 (95% CI, 0.28-0.52,

Indexed as

alzheimer’s diseaseanxietybehavioral interventionscaregiverscaregivingcounsellingdepressionmental healthpsychiatricsleep disturbance

Identifiers

PMID40861761
PMCPMC12376223

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.