Evidence map›Paper›PMID 40708592›Full record

ReviewFrontiers in psychiatry2025

Research progress of assessment tools for Parkinson's disease psychosis in China.

Shuchan Wang, Baoqin Yang, Ping Lu, Yaping Chen, Jianing Dai, Lijun Zhao, Miaomiao Wang, Jiahuan Yu, Lixiu Zhang

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Frontiers in psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Shuchan Wang *Nursing Department, The Affiliated Kangning Hospital of Ningbo University, Ningbo, China.
Baoqin Yang *Nursing Department, The Affiliated Kangning Hospital of Ningbo University, Ningbo, China.
Ping LuNursing Department, The Affiliated Kangning Hospital of Ningbo University, Ningbo, China.
Yaping ChenNursing Department, The Affiliated Kangning Hospital of Ningbo University, Ningbo, China.
Jianing DaiNursing Department, The Affiliated Kangning Hospital of Ningbo University, Ningbo, China.
Lijun ZhaoNursing Department, The Affiliated Kangning Hospital of Ningbo University, Ningbo, China.
Miaomiao WangNursing Department, The Affiliated Kangning Hospital of Ningbo University, Ningbo, China.
Jiahuan YuNursing Department, The Affiliated Kangning Hospital of Ningbo University, Ningbo, China.
Lixiu ZhangMedical College, Huzhou University, Huzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Parkinson's disease psychosis (PDP) has a significant impact on the quality of life and disease prognosis of patients with Parkinson's disease (PD). Accurate assessment of psychotic symptoms in PD patients is critical for early detection and intervention. This, in turn, improves clinical outcomes and quality of life. This review evaluates both internationally validated and China-specific assessment tools for PDP, including the Parkinson's Psychosis Questionnaire, Geriatric Apathy Scale, and culturally adapted instruments. We analyze the psychometric properties, cultural applicability, and clinical utility of these tools in Chinese populations. Our findings provide evidence-based recommendations for healthcare professionals to optimize tool selection, enhance diagnostic accuracy, and guide targeted interventions in China's diverse clinical settings. The review also identifies gaps in current assessment approaches and proposes directions for future tool development and validation studies.

Indexed as

assessment toolsParkinson’s diseaseParkinson’s disease psychosispsychosisreview

Identifiers

PMID40708592
PMCPMC12287042

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.