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Validazione Italiana Dello Strumento BBI (Beaumont Behavioural Inventory) Per la Valutazione Delle Alterazioni Comportamentali Nel Paziente Affetto da Malattia Del Motoneurone

Sponsor

Source record

Istituti Clinici Scientifici Maugeri SpA

Phase

Source record

Not classified

Modality

AI-normalized

behavioral intervention

Target

AI-normalized

BBI

Indication / condition

AI-normalized

Amyotrophic Lateral Sclerosis

Intervention

Source record

BBI

Source & freshness

Source record

NCT ID

NCT04440644

Original source

ClinicalTrials.gov

Source last updated

Oct 22, 2021

Ingested at

Jun 18, 2026

Internal sync

Jun 18, 2026

Model version

trialsignal-ai-v1

Normalized confidence

96%

Validation status

validated

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NCT ID

NCT04440644

Title

Validazione Italiana Dello Strumento BBI (Beaumont Behavioural Inventory) Per la Valutazione Delle Alterazioni Comportamentali Nel Paziente Affetto da Malattia Del Motoneurone

Sponsor

Istituti Clinici Scientifici Maugeri SpA

Status

COMPLETED

Phase

Detailed source ingestion pending

Condition raw

Amyotrophic Lateral Sclerosis

Condition normalized

Amyotrophic Lateral Sclerosis

Modality raw

behavioral intervention

Modality normalized

behavioral intervention

Target raw

BBI

Target normalized

BBI

Interventions

BBI

Public preview

Source record

Up to 50% of patients affected with amyotrophic lateral sclerosis (ALS) can show behavioral dysfunctions within the spectrum of frontotemporal degenerations (FTD) - namely, apathy, disinhibition, loss of sympathy/empathy, perseverative and stereotyped behaviours, dietary changes \[Strong et al., 2017\].

The Beaumont Behavioural Inventory (BBI) \[Elamin et al., 2017\] is a questionnaire designed for detecting FTD-spectrum behavioural changes in ALS patients. The present study aims at both validating the BBI in an Italian ALS population and determining normative cut-off values of the instrument.

AI-generated analysis supports research triage only. Verify source records, publications, sponsor disclosures and IP databases before making diligence decisions. Model: trialsignal-ai-v1.

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