Evidence map›Paper›PMID 38915261›Full record

ArticleJournal of movement disorders2024

Pain Characteristics of Parkinson's Disease Using Validated Arabic Versions of the King's Parkinson's Disease Pain Scale and Questionnaire: A Multicenter Egyptian Study.

Ali Shalash, Salma R Mohamed, Marwa Y Badr, Shimaa Elgamal, Shaimaa A Elaidy, Eman A Elhamrawy, Hayam Abdel-Tawab, Haidy Elshebawy, Heba Samir Abdelraheem, Tamer Roushdy and 8 more

Abstract read
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Article in Journal of movement disorders, 2024. 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

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

2 citing papers in PubMed.

  1. Article
  2. Redefining Non-Motor Symptoms in Parkinson's Disease.Journal of personalized medicine · 2025
    Review
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

18 authors.

Ali ShalashDepartment of Neurology, Faculty of Medicine, Ain Shams University, Cairo, Egypt.
Salma R MohamedDepartment of Neurology, Faculty of Medicine, Ain Shams University, Cairo, Egypt.
Marwa Y BadrDepartment of Neuropsychiatry, Faculty of Medicine, Tanta University, Tanta, Egypt.
Shimaa ElgamalDepartment of Neuropsychiatry, Faculty of Medicine, Kafrelsheikh University, Kafr Elsheikh, Egypt.
Shaimaa A ElaidyDepartment of Neurology, Faculty of Medicine, Zagazig University, Zagazig, Egypt.
Eman A ElhamrawyDepartment of Neurology, Faculty of Medicine (for girls), Al-Azhar University, Cairo, Egypt.
Hayam Abdel-TawabDepartment of Neurology, Faculty of Medicine (for girls), Al-Azhar University, Cairo, Egypt.
Haidy ElshebawyDepartment of Neurology, Faculty of Medicine, Cairo University, Cairo, Egypt.
Heba Samir AbdelraheemDepartment of Neurology, Faculty of Medicine, Alexandria University, Alexandria, Egypt.
Tamer RoushdyDepartment of Neurology, Faculty of Medicine, Ain Shams University, Cairo, Egypt.
Wafik S BahnasyDepartment of Neuropsychiatry, Faculty of Medicine, Tanta University, Tanta, Egypt.
Haitham H SalemDepartment of Neurology, Faculty of Medicine, Ain Shams University, Cairo, Egypt.
Ehab A El-SeidyDepartment of Neuropsychiatry, Faculty of Medicine, Tanta University, Tanta, Egypt.
Hatem S ShehataDepartment of Neurology, Faculty of Medicine, Cairo University, Cairo, Egypt.
Hazem MaroufDepartment of Neurology, Faculty of Medicine, Alexandria University, Alexandria, Egypt.
K Ray ChaudhuriDepartment of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology, and Neuroscience, King's College London and Parkinson Foundation Centre of Excellence, Kings College Hospital, London, UK.
Eman HamidDepartment of Neurology, Faculty of Medicine, Ain Shams University, Cairo, Egypt.
Egyptian Parkinson Research Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivePain is one of the most common nonmotor symptoms in Parkinson's disease (PD), with variable characteristics among populations. This multicenter Egyptian study aimed to translate and validate the King's Parkinson's Disease Pain Scale (KPPS) and Questionnaire (KPPQ) into Arabic versions and to investigate the pain characteristics in Egyptian people with PD (PWP).

methodsA total of 192 PWP and 100 sex- and age-matched controls were evaluated by the KPPS-Arabic and KPPQ-Arabic. Both tools were assessed for test-retest reliability, floor or ceiling effects, construct validity and convert validity. PWP were also assessed by the Movement Disorders Society-Unified Parkinson's Disease Rating Scale (MDS-UPDRS), Hoehn and Yahr scale (H&Y), Non-Motor Symptom Scale (NMSS), PD Questionnaire-39, and Non-Motor Fluctuation Assessment (NoMoFA).

resultsThe KPPS-Arabic and KPPQ-Arabic showed inter- and intrarater consistency and high validity, with an acceptable ceiling effect. A total of 188 PWP (97.9%) reported at least 1 type of pain (p < 0.001). The severity and prevalence of all pain domains in the KPPS-Arabic were significantly higher among PWP than among controls (p < 0.001). Fluctuation-related and musculoskeletal pains were the most common (81.3% and 80.7%, respectively). In the PD group, the total and domains of KPPS-Arabic were significantly correlated to the MDS-UPDRS total score and the scores of Parts I, II, III, postural instability gait disorder, axial, and H&Y but not with age or age of onset. The predictors of KPPS-Arabic scores included the total MDS-UPDRS, the part III-OFF, disease duration, the total NMSS, and the NoMoFA scores.

conclusionThe current multicenter study provided validated Arabic versions of the KPPS and KPPQ, which exhibited high reliability and validity, and demonstrated a high prevalence and severity of pain within Egyptian PWP and characterized its determinants.

Indexed as

KPPQKPPSNon-motorPainParkinson’s disease

Identifiers

PMID38915261
PMCPMC11540543

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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.