Evidence map›Paper›PMID 40125952›Full record

ArticleNeurodegenerative disease management

Advanced Parkinson's disease and eligibility for device-aided therapies in Morocco: a multicenter cross-sectional study.

Mohamed Daghi, Zineb Serhier, Abdelhakim Lakhdar, Hicham El Otmani

Abstract readMulticenter Study
In one paragraph

Article in Neurodegenerative disease management. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Article
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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.

Mohamed DaghiResearch Laboratory of Nervous System Diseases, Neurosensory Disorders, and Disability, Faculty of Medicine and Pharmacy, Hassan II University, Casablanca, Morocco.ORCID 0000-0002-9312-2239
Zineb SerhierClinical Neuroscience and Mental Health Laboratory, Faculty of Medicine and Pharmacy, Hassan II University, Casablanca, Morocco.ORCID 0000-0002-0856-6960
Abdelhakim LakhdarResearch Laboratory of Nervous System Diseases, Neurosensory Disorders, and Disability, Faculty of Medicine and Pharmacy, Hassan II University, Casablanca, Morocco.ORCID 0000-0002-2311-4209
Hicham El OtmaniLaboratory of Medical Genetics and Molecular Pathology, Faculty of Medicine and Pharmacy, Hassan II University, Casablanca, Morocco.ORCID 0000-0003-0870-1808

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThis study investigates the prevalence and clinical features of advanced Parkinson's disease (APD) in Moroccan patients and evaluates their eligibility for Device-Aided Therapies (DATs), including Deep Brain Stimulation (DBS), Continuous Subcutaneous Apomorphine Infusion (CSAI), and Levodopa-Carbidopa Intestinal Gel infusion (LCIG).

methodsWe conducted a cross-sectional study across 15 facilities in five cities within the Casablanca-Settat region, Morocco. We collected demographics, clinical, and health-related quality of life data. Logistic regression identified factors predicting disease progression and DATs eligibility.

resultsThis study included 370 patients with Parkinson's disease, of whom 44.6% (95%CI: 39.5%-49.8%) had APD. Each additional year of disease duration increased APD odds by 8% (ORa = 1.08,

conclusionAlthough many Moroccan patients qualify for DATs, their use is minimal. Addressing access barriers is crucial to improve outcomes.

Indexed as

Antiparkinson AgentsDeep Brain StimulationLevodopaParkinson DiseaseAdultAgedApomorphineCarbidopaCross-Sectional StudiesDisease ProgressionDrug CombinationsFemaleHumansMaleMiddle AgedMoroccoAntiparkinson AgentsApomorphineCarbidopacarbidopa, levodopa drug combinationDrug CombinationsLevodopaAdvanced Parkinson’s diseasecontinuous subcutaneous apomorphine infusiondeep brain stimulationdevice-aided therapieslevodopa-carbidopa intestinal gelMorocco

Identifiers

PMID40125952
PMCPMC12118420

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Registered trials

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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 OpenQuestion graph.