Evidence map›Paper›PMID 40608498›Full record

ArticleArchives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists2025

Bridging Gaps in Sundown Syndrome Research: a Scoping Review and Roadmap for Future Multimodal Approaches.

Qianru Xu, Feng Vankee Lin, Yang Liu, Guoying Zhao

Abstract readScoping Review
In one paragraph

Article in Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists, 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. Review
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.

Qianru XuCogT Lab, Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA.
Feng Vankee LinCogT Lab, Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA.
Yang LiuCogT Lab, Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA.
Guoying ZhaoCenter for Machine Vision and Signal Analysis, University of Oulu, Oulu, Finland.

Funding

U24 NEW Brain Aging Diversity SupplementU24AG072701 · NIA · UNIVERSITY OF ROCHESTER · PI CONWELL, YEATES, LIN, FENG VANKEE · 2021 to 2024
$2.6M
Finnish Cultural Foundation for North Ostrobothnia Regional Fund 60231712Finnish Cultural Foundation for Säätiöiden post doc -pooli 00240135Instrumentarium Foundation 240016NIA NIH HHS U24 AG072701NIH HHS U24 AG072701The Finnish-American Research & Innovation AcceleratorUniversity of Oulu & Research Council of Finland Profi 7 101130271University of Oulu & Research Council of Finland Profi 7 352788
6 · The paper itself

Abstract

objectiveSundown syndrome (SS), or sundowning, is a neuropsychiatric phenomenon marked by the worsening of symptoms in the late afternoon or evening, primarily in individuals with dementia. By systematically examining previous studies, this scoping review aims to (1) bridge traditional questionnaire-based assessment methods with advanced sensor-based tools and (2) propose a multimodal framework to guide future research in enhancing risk identification, diagnosis, monitoring, and treatment across key symptom categories.

methodWe conducted a comprehensive review of Web of Science, PubMed, Medline, APA PsycInfo, and IEEE Xplore to identify studies on SS. Following established scoping review guidelines, 13 review papers and 41 empirical studies were selected and analyzed based on traditional questionnaire-based observation and/or sensor-based measurement methods.

resultsWe identified key limitations in traditional assessment methods and classified SS symptoms into five domains: psychomotor symptoms, cognitive and perceptual disturbances, mood and affective symptoms, psychosis, and disruptions in activities of daily living and instrumental activities of daily living. Building on these insights, we proposed a multimodal platform integrating sensor technologies to enhance risk identification, diagnosis, continuous monitoring, and treatment.

conclusionsThis study advances the understanding of SS by synthesizing prior research, refining symptom domains, and proposing a roadmap for future investigation and intervention. The integration of multimodal sensor technologies holds the potential to reduce caregiver burden, enhance patient care, and enable more effective management of SS and other behavioral disturbances in older adults.

Indexed as

DementiaWandering BehaviorHumansBehavioral disturbancesCaregiver supportDementiaMultimodal approachSundown syndrome

Identifiers

PMID40608498
PMCPMC12644068

What Socratic 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 Socratic graph.