Evidence map›Paper›PMID 42298495›Full record

ArticleBMC neurology2026

Sex-specific differences and diagnostic tool performance in the neuropsychiatric profile of Parkinson's disease.

Yun-Sheng Chen, Chiung-Mei Chen, Chi-Hung Juan, Mei-Ling Cheng, Hsiu-Chuan Wu, Chih-Hong Lee, Yen-Shi Lo, Yi-Ru Wang, Kuo-Hsuan Chang

Abstract read
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Article in BMC neurology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Yun-Sheng Chen *School of Medicine, Chang Gung University, Taoyuan, Taiwan.
Chiung-Mei Chen *School of Medicine, Chang Gung University, Taoyuan, Taiwan.
Chi-Hung JuanInstitute of Cognitive Neuroscience, National Central University, Taoyuan, Taiwan.
Mei-Ling ChengDepartment of Biomedical Sciences, Chang Gung University, Taoyuan, Taiwan.
Hsiu-Chuan WuDepartment of Neurology, Chang Gung Memorial Hospital Linkou Medical Center, Taoyuan, Taiwan.
Chih-Hong LeeSchool of Medicine, Chang Gung University, Taoyuan, Taiwan.
Yen-Shi LoDepartment of Neurology, Chang Gung Memorial Hospital Linkou Medical Center, Taoyuan, Taiwan.
Yi-Ru WangDepartment of Neurology, Chang Gung Memorial Hospital Linkou Medical Center, Taoyuan, Taiwan.
Kuo-Hsuan ChangSchool of Medicine, Chang Gung University, Taoyuan, Taiwan. gophy5128@cgmh.org.tw.

Funding

Chang Gung Medical Foundation CMRPG3N0331
6 · The paper itself

Abstract

backgroundNeuropsychiatric symptoms are prevalent in Parkinson's disease (PD) but remain incompletely characterized, particularly concerning sex-specific differences and the comparative performance of diagnostic tools. This study aimed to provide a comprehensive neuropsychiatric profile of a Taiwanese PD cohort, evaluate the diagnostic sensitivity of various assessment tools, and explore correlations with clinical features. MATERIALS AND

methodsWe enrolled 92 PD patients and 57 healthy controls. Participants underwent a comprehensive assessment battery, including motor scales, cognitive measures, and mood inventories. Diagnoses of dementia and depression were established using standard criteria. Diagnostic tool performance was evaluated by calculating the sensitivity and specificity, and relationships between variables were assessed using Spearman correlation.

resultsDementia was identified in 34.8% and depression in 28.3% of PD patients. Female patients had lower scores on the Mini-Mental State Examination (MMSE) (25.18 vs. 28.08, p = 0.003) and Montreal Cognitive Assessment (MoCA) (21.18 vs. 25.79, p = 0.001), and higher scores on the Hamilton Depression Rating Scale (HAM-D) (6.68 vs. 5.02, p = 0.046) and Neuropsychiatric Inventory (NPI) (3.95 vs. 1.79, p = 0.018) compared with male patients. For dementia diagnosis, the clinician-rated MMSE and MoCA demonstrated sensitivities exceeding 90%, whereas the caregiver-rated Clinical Dementia Rating (CDR) had a sensitivity of only 25%. For depression, the clinician-rated HAM-D (88.5% sensitivity) outperformed the self-reported Beck's Depression Inventory II (BDI-II) (65.4% sensitivity). Most neuropsychiatric assessments were significantly correlated with age, disease duration, and motor severity.

conclusionsThese findings highlight a considerable neuropsychiatric burden in PD, with a distinct female-predominant vulnerability in cognitive and affective domains. The superior performance of clinician-administered assessments emphasizes their value in improving diagnostic certainty. These results support the routine, comprehensive, and sex-specific neuropsychiatric evaluations in the clinical management of PD.

Indexed as

DementiaDepressionNeuropsychological TestsParkinson DiseaseSex CharacteristicsAgedFemaleHumansMaleMiddle AgedPsychiatric Status Rating ScalesSensitivity and SpecificityTaiwanActivities of daily livingDementiaDepressionNeuropsychiatryParkinson’s disease

Identifiers

PMID42298495
PMCPMC13495158

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LicenceCC BY-NC-ND
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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 Socratic graph.