Evidence map›Paper›PMID 39654952›Full record

ArticleClinical parkinsonism & related disorders2024

Exploring the layers of fatigue in Parkinson's Disease: A comprehensive analysis of its prevalence and contributing factors.

Filipe Sarmento, Griffin Lamp, Venkat Srikar Lavu, Achyutha S Madamangalam, Jagan Mohan Reddy Dwarampudi, Qingqi Yuan, Alfonso Enrique Martinez-Nunez, Julia Choi, Kara A Johnson, Coralie de Hemptinne and 1 more

Abstract read
In one paragraph

Article in Clinical parkinsonism & related disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

5 citing papers in PubMed.

  1. Review
  2. The role of exercise and lifestyle factors in fatigue among Parkinson's disease patients: a cross-sectional study.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
    Article
  3. Review
  4. Article
  5. Article
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

11 authors.

Filipe SarmentoNorman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL, USA.
Griffin LampNorman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL, USA.
Venkat Srikar LavuNorman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL, USA.
Achyutha S MadamangalamNorman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL, USA.
Jagan Mohan Reddy DwarampudiNorman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL, USA.
Qingqi YuanNorman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL, USA.
Alfonso Enrique Martinez-NunezNorman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL, USA.
Julia ChoiDepartment of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, USA.
Kara A JohnsonNorman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL, USA.
Coralie de HemptinneNorman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL, USA.
Joshua K WongNorman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Fatigue is a prevalent yet under-recognized non-motor symptom (NMS) of Parkinson's disease (PD), significantly impacting patients' quality of life. Despite its clinical importance, the relationship between fatigue and other motor and non-motor symptoms remains poorly understood. Its frequent co-occurrence with other NMS further complicates both diagnosis and management, often leading to underdiagnosis and suboptimal treatment. This gap in understanding is largely due to the limited exploration of fatigue in PD. Objective: This study aimed to evaluate the prevalence of fatigue at baseline and up to 10 years after symptom onset in a large, well-characterized PD cohort (PPMI) and to explore its associations with other non-motor symptoms (NMS). By providing insights into the prevalence and correlations of fatigue, our goal is to highlight the need for early identification and management, guiding future research efforts. Methods: We conducted a retrospective study using the PPMI database. Fatigue was assessed using item 1.13 of the Movement Disorders Society Unified Parkinson's Disease Rating Scale. Logistic regression was used to analyze the impact of different variables on fatigue, while point-biserial correlation analysis gauged the relationship between continuous variables and fatigue. Results: At baseline study visit, 52% (575) of patients reported experiencing fatigue, with 9% reporting moderate to severe fatigue early in the disease course. Higher scores on several scales were significantly associated with an increased risk of fatigue, though most associations were weak. Significant associations included the REM Sleep Behavioral Disorder Questionnaire (OR: 1.09, 95% CI: 1.06-1.11), Geriatric Depression Scale (OR: 1.07, 95% CI: 1.03-1.11), State-Trait Anxiety Inventory (OR: 1.01, 95% CI: 1.00-1.02), SCOPA-Autonomic Dysfunction (OR: 1.05, 95% CI: 1.03-1.06), Epworth Sleepiness Scale (OR: 1.06, 95% CI: 1.04-1.08), and Apathy (OR: 2.90, 95% CI: 2.4-3.5). Conclusion: Over half of patients reported fatigue at baseline, underscoring its significant prevalence early in PD. The predominantly weak associations with other NMS highlight the necessity for comprehensive patient screening and targeted interventions, as addressing one NMS may not effectively alleviate others.

Indexed as

FatigueNon-motor symptomsParkinson’s disease

Identifiers

PMID39654952
PMCPMC11626731

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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.