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Record W4410894416 · doi:10.70749/ijbr.v3i5.1497

Comparative Efficacy of Modafinil and Methylphenidate in Managing Excessive Daytime Sleepiness in Parkinson’s Disease: Results from a Randomized Controlled Trial

2025· article· en· W4410894416 on OpenAlexaboutno aff
Ashish Kakar, Wazir Akbar, Riaz Ahmed, Muhammad Essa

Bibliographic record

VenueIndus journal of bioscience research. · 2025
Typearticle
Languageen
FieldMedicine
TopicParkinson's Disease Mechanisms and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsModafinilMethylphenidateExcessive daytime sleepinessRandomized controlled trialMedicineEpworth Sleepiness ScaleParkinson's diseaseLevodopaDaytimePsychologyPsychiatryDiseaseInternal medicinePolysomnographyAttention deficit hyperactivity disorderElectroencephalographyInsomniaSleep disorder

Abstract

fetched live from OpenAlex

Background: Excessive daytime sleepiness (EDS) is a prevalent and debilitating non-motor symptom of Parkinson's disease (PD), yet treatment alternatives are still constrained. This study aimed to evaluate the efficacy and safety of modafinil against methylphenidate in mitigating excessive daytime sleepiness in people with Parkinson's disease. Methods: In this double-blind, randomized, placebo-controlled trial, 110 patients with idiopathic Parkinson's disease and an Epworth Sleepiness Scale (ESS) score of 10 or above were recruited from two neurology clinics in Quetta, Pakistan, between December 2023 and February 2025. Participants were randomly assigned to receive modafinil (200 mg/day, n = 44), methylphenidate (10–20 mg/day, n = 52), or a placebo (n = 14) for six weeks, with optional follow-up assessments at 12 and 24 weeks. The primary outcome was the alteration in the Epworth Sleepiness Scale (ESS) score at six weeks. Secondary objectives encompassed sleep quality (Pittsburgh Sleep Quality Index, PSQI), cognitive function (Montreal Cognitive Assessment, MoCA), quality of life (PDQ-39), and motor symptoms (UPDRS-III). Safety and tolerability were evaluated using adverse event surveillance. Subgroup and multivariate analyses investigated predictors of treatment response. Results: Both modafinil and methylphenidate markedly decreased ESS scores relative to placebo at six weeks (mean change: -6.6 for modafinil, -4.4 for methylphenidate against -0.3 for placebo; p < 0.001). Modafinil exhibited a significant enhancement in sleep quality (PSQI), with a substantial effect size (Cohen’s d = 0.91). PDQ-39 scores showed substantial enhancement in both active groups, especially with modafinil (mean: 35.6 compared to 48.2 in placebo; p = 0.003). Cognitive function and motor symptoms exhibited stability between groups. Adverse events occurred more frequently in the methylphenidate group (32.7%) compared to the modafinil (18.2%) and placebo (7.1%) groups, although the majority were mild to moderate in severity. Longitudinal follow-up revealed a progressive reduction in treatment efficacy. Subgroup analysis indicated enhanced advantages in people with milder disease (Hoehn & Yahr stage ≤2). The baseline ESS score and disease severity independently forecast treatment response. Conclusions: Modafinil and methylphenidate both significantly reduced excessive daytime sleepiness in Parkinson's disease, with modafinil demonstrating enhanced efficacy and tolerance. These data suggest the prospective efficacy of modafinil as a secure and successful treatment alternative for addressing excessive daytime sleepiness in Parkinson's disease, especially in the first phases of the disorder.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0060.004
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0060.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.065
GPT teacher head0.398
Teacher spread0.333 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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