Welcome to PsychiatryAI.com: [PubMed] - Psychiatry AI Latest

Family History in Parkinson’s Disease: A National Cross-Sectional Study

Evidence

Mov Disord Clin Pract. 2024 Sep 13. doi: 10.1002/mdc3.14206. Online ahead of print.

ABSTRACT

BACKGROUND: Family history of Parkinson’s disease (PD) is a common finding in PD patients. However, a few studies have systematically examined this aspect.

OBJECTIVES: We investigated the family history of PD patients, comparing demographic and clinical features between familial PD (fPD) and sporadic PD (sPD).

METHODS: A cross-sectional study enrolling 2035 PD patients was conducted in 28 Italian centers. Clinical data and family history up to the third degree of kinship were collected.

RESULTS: Family history of PD was determined in 21.9% of patients. fPD patients had earlier age at onset than sporadic patients. No relevant differences in the prevalence of motor and nonmotor symptoms were detected. Family history of mood disorders resulted more prevalently in the fPD group.

CONCLUSIONS: fPD was found to recur more frequently than previously reported. Family history collection beyond the core family is essential to discover disease clusters and identify novel risk factors for PD.

PMID:39269187 | DOI:10.1002/mdc3.14206

Document this CPD Copy URL Button

Google

Google Keep

LinkedIn Share Share on Linkedin

Estimated reading time: 3 minute(s)

Latest: Psychiatryai.com #RAISR4D Evidence

Cool Evidence: Engaging Young People and Students in Real-World Evidence

Real-Time Evidence Search [Psychiatry]

AI Research

Family History in Parkinson’s Disease: A National Cross-Sectional Study

Copy WordPress Title

🌐 90 Days

Evidence Blueprint

Family History in Parkinson’s Disease: A National Cross-Sectional Study

QR Code

☊ AI-Driven Related Evidence Nodes

(recent articles with at least 5 words in title)

More Evidence

Family History in Parkinson’s Disease: A National Cross-Sectional Study

🌐 365 Days

Floating Tab
close chatgpt icon
ChatGPT

Enter your request.

Psychiatry AI RAISR 4D System Psychiatry + Mental Health