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Record W4413894959 · doi:10.1002/mdc3.70323

Validation of the French Translation of the Movement Disorder Society Non‐Motor Symptoms Scale ( <scp>MDS</scp> ‐ <scp>NMS</scp> ) in Parkinson's Disease

2025· letter· en· W4413894959 on OpenAlexafffundabout
Clément Desjardins, Stéphan Grimaldi, Sheng Luo, Christopher G. Goetz, Glenn T. Stebbins, Pablo Martínez‐Martín, Mónica Kurtis, Tiago Mestre, Álvaro Sánchez‐Ferro, Michelle Hyczy de Siqueira Tosin, Roberta Balestrino, Chi‐Ying Lin, Carmen Gasca‐Salas, Tatiana Witjas, Olivier Colin, David Maltête, Luc Defebvre, Caroline Giordana, Mahmoud Charif, Claire Thiriez, Chloé Laurencin, Mélissa Tir, Gwendoline Dupont, Philippe Rémy, Christine Tranchant, Sophie Drapier, A. Foubert Samier, Isabelle Bénatru, Sara Sambin, Jean‐Christophe Corvol, Fatma Kelifi, Margherita Fabbri, Olivier Rascol

Bibliographic record

VenueMovement Disorders Clinical Practice · 2025
Typeletter
Languageen
FieldMedicine
TopicParkinson's Disease Mechanisms and Treatments
Canadian institutionsParkinson's Clinic of Eastern Toronto & Movement Disorders CentreUniversity of Ottawa
FundersServierUniversité de ToulouseNeurocrine BiosciencesFondation Brain CanadaAssociation France ParkinsonComunidad de MadridCanadian Institutes of Health ResearchParkinson CanadaH. Lundbeck A/SSunovionOttawa Hospital Research InstituteInstituto de Salud Carlos IIIRush UniversityAlzheimer's AssociationMultiple System Atrophy CoalitionBoston Scientific CorporationTeva Pharmaceutical IndustriesPfizerBiogenInternational Parkinson and Movement Disorder SocietyCHDI FoundationEli Lilly and CompanyAcorda TherapeuticsUniversity of Ottawa
KeywordsParkinson's diseaseMovement disordersNeuroscienceMovement (music)Motor symptomsDiseasePhysical medicine and rehabilitationPsychologyMedicineInternal medicinePhilosophy

Abstract

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The MDS-Non-Motor Symptoms Scale (MDS-NMS) is a comprehensive tool to assess NMS in Parkinson's disease (PD), which represent a major source of disability and impact on quality of life throughout the disease course.1, 2 While validated in several languages,3, 4 a French version was lacking, limiting its use in French-speaking populations worldwide. We followed the official Movement Disorder Society-Clinical Outcome Assessment protocol to translate, adapt, and validate the French version, including forward–backward translation, expert review, and cognitive pretesting. Methodological details of the analyses are provided in Supplementary Material S1, including translation protocol, primary/secondary analysis and cognitive pretesting details. A total of 303 PD patients were recruited from 10 expert centers within the NS-Park French clinical research network. Inclusion criteria required a confirmed diagnosis of PD and high proficiency in French. Participants had a mean age of 62.3 years and mean disease duration of 8.2 years; most were in Hoehn & Yahr stage 2. Full demographic data are available in Supplementary Table S1. Cognitive pretesting in 10 patients demonstrated the clarity and acceptability of the translated scale, with no item requiring rewording or removal. The scale was acceptable, culturally appropriate, and needed no major adaptation, allowing its approval as an “official working document” per MDS standards. This step ensured that the translation preserved both linguistic fidelity and clinical relevance, and could be implemented uniformly across clinical centers. Confirmatory factor analysis (CFA) confirmed the structure of the original English version, with CFI values ≥0.90 for most subscales (Table 1). Domains with too few items—such as Apathy, Orthostatic Hypotension, Sexual, and Urinary—did not yield model fit indices due to statistical limitations. Exploratory factor analysis (EFA) revealed high item-factor loadings (≥0.40), with dominant factors explaining substantial variance in key domains (eg, Depression: 57.2%, Cognition: 53%). Full EFA results and variance data are presented in Supplementary Table S2, and scree plots are shown in Supplementary Figure S1. The MDS-NMS covers 13 symptom domains and non-motor fluctuations, enabling a detailed and multidimensional assessment of neuropsychiatric, autonomic, sleep-related, sensory, gastrointestinal, and cognitive symptoms. This breadth is essential for understanding the full complexity of PD beyond motor features. Our findings align closely with prior validations in Portuguese and Spanish,3, 4 confirming the cross-cultural robustness of its structure. The French MDS-NMS is particularly relevant for longitudinal studies, clinical trials, and real-world evaluations of PD. It enables better characterization and follow-up of NMS, which are often underrecognized and undertreated despite their burden. Its use may support more personalized care strategies and facilitate cross-national research collaborations. Some domains—such as gastrointestinal and sleep-wakefulness—showed more complex factor structures, as observed in other language validations, suggesting potential avenues for refinement. Future efforts may focus on validating a French patient-reported version, as has been done for the English MDS-NMS-Q.5 In conclusion, the French MDS-NMS is a valid, culturally adapted scale aligned with international standards. It represents a key step toward harmonizing the assessment of NMS in PD across language barriers and optimizing care for French-speaking patients worldwide. At the end of the manuscript, list the itemized contributions in number/letter format, as below. These should include but are not restricted to: (1) Research project: A. Conception, B. Organization, C. Execution; (2) Statistical Analysis: A. Design, B. Execution, C. Review and Critique; (3) Manuscript Preparation: A. Writing of the first draft, B. Review and Critique. C.D.: 1C, 2C, 3A, 3B. S.G.: 1C, 2C, 3A, 3B. S.L.: 2A, 2B, 2C, 3B. L.Y.: 2A, 2B, 2C. C.G.G.: 1A, 1B, 2C, 3B. G.T.S.: 1A, 1B, 2C, 3B. P.M.M.: 1A, 1B, 2C, 3B. M.M.K.: 1A, 1B, 2C, 3B. T.A.M.: 1A, 1B, 2C, 3B. A.S.F.: 1A, 1B, 2C, 3B. M.H.S.T.: 1A, 1B, 2C, 3B. R.B.: 1A, 1B, 2C, 3B. C.L.: 1A, 1B, 2C, 3B. C.G.S.: 1A, 1B, 2C, 3B. T.W.: 1A, 1B, 1C, 2C, 3B. O.C.: 1A, 1B, 1C, 2C, 3B. D.M.: 1A, 1B, 1C, 2C, 3B. L.D.: 1A, 1B, 1C, 2C, 3B. C.G.: 1A, 1B, 1C, 2C, 3B. M.C.: 1A, 1B, 1C, 2C, 3B. C.T.: 1A, 1B, 1C, 2C, 3B. C.L.: 1A, 1B, 1C, 2C, 3B. M.T.: 1A, 1B, 1C, 2C, 3B. G.D.: 1A, 1B, 1C, 2C, 3B. P.R.: 1A, 1B, 1C, 2C, 3B. C.T.: 1A, 1B, 1C, 2C, 3B. S.D.: 1A, 1B, 1C, 2C, 3B. A.S.: 1A, 1B, 1C, 2C, 3B. I.B.: 1A, 1B, 1C, 2C, 3B. S.S.: 1C, 2C, 3B. J.C.C.: 1C, 2C, 3B. F.K.: 1A, 1B, 2C, 3B. M.F.: 1A, 1B, 1C, 2C, 3B. O.R.: 1A, 1B, 1C, 2C, 3B. The authors thank the MDS for the support on this project, particularly MDS COA Translation Steering Committee the NS-PARK Cohort Study Group. Executive Board: Jean-Christophe Corvol (Coordinator, Paris – Pitié Salpêtrière), Olivier Rascol (Chu Toulouse), Margherita Fabbri (Chu Toulouse), Wassilios Meissner (Chu Bordeaux), Stéphane Thobois (Chu Lyon), Luc Defebvre (Chu Lille), Helene Esperou (Inserm), Florence Tubach (Cephépi, AP-HP), Yann De Rycke (Cephépi, AP-HP). Management Group: Coordination (ICM, Paris): Stephanie Carvalho, Yajiththa Rajasegaram; Sponsor (Inserm): Layidé Roufai, Dalila Ouazib, Sandra Zarrad; Ns-Park Network (Chu Toulouse): Fatma Khelifi, Nacim Miri. Datacore: Coordination (Cephépi, AP-HP): Florence Tubach, Yann de Rycke; Statistics (Cephépi, AP-HP): Nathalie Bertille; (CHU Toulouse): Vanessa Rousseau, Samuel Tessier, Margherita Fabbri; Data Management (Cephépi, AP-HP): David Tavel, Dounya Metdaoui; (Icm, Paris): Avigaelle Abitbol, Mathias Antunes. Genetics Team (ICM, Paris): Alexis Brice, Suzanne Lesage, Christelle Tesson, Fanny Casse, Mélanie Ferrien, Guillaume Cogan, Lisa Welment. Principal Investigators (CHU alphabetical order): Aix-En-Provence: Silvia Di Legge; Amiens: Melissa Tir; Avicenne Hospital: Bertrand Degos; Besançon: Thierry Moulin; Bordeaux: Wassilios Meissner; Caen: Claire Thiriez; Clermont-Ferrand: Ana Marques; Créteil—Henri Mondor: Philippe Remy; Dijon: Gwendoline Dupont; Grenoble: Elena Moro; Lille: Luc Defebvre; Limoges: Jean-Luc Houeto; Lyon: Stéphane Thobois; Marseille: Jean-Philippe Azulay; Montpellier: Christian Geny; Nancy: Solène Frismand; Nantes: Anne-Gaëlle Corbille; Nice: Caroline Giordana; Nîmes: Giovanni Castelnovo; Paris—Pitié- Salpêtrière: Jean-Christophe Corvol; Poitiers: Isabelle Benatru; Reims: Anne Doe de Maindreville; Rennes: Sophie Drapier; Rouen: David Maltete; Strasbourg: Christine Tranchant; Toulouse: Olivier Rascol. Co-investigators: Amiens: Mickael Aubignat; Avicenne Hospital: Marie Mongin, Arnaud Lapostolle; Besançon: Matthieu Bereau, Gautier Clement; Bordeaux: Alexandra Foubert-Samier, Brice Laurens, Sylvain Vergnet, Thomas Boraud, David Bendetowicz, Jade Sarrabere, Dominique Guehl, Pierre Burbaud, Edouard Courtin; Caen: Paul-Alexandre Pfeiffer, Gilles Defer; Clermont-Ferrand: Bérengère Debilly, Philippe Derost, Charlotte Beal; Créteil—Henri Mondor: Hayet Salhi, Alice Dormeuil, Aimée Petit, Alban Gravier; Dijon: Vincent Schneider, Lucie Garnier; Lille: Nicolas Carriere; Limoges: Olivier Colin, Philippe Couratier; Lyon: Chloé Laurencin, Stephane Prange, Paul Jaulent, Bruno Plus, Helene Gervais-Bernard; Marseille: Alexandre Eusebio, Frédérique Fluchere, Stephan Grimaldi, Valentin Mira, Tatiana Witjas; Montpellier: Mahmoud Charif, Ophelie Forster, Alix Durand, Pauline Prin; Nancy: Lucie Hopes, Amory Jardel, Salome Puisieux, Guillemette Clement; Nantes: Philippe Damier, Tiphaine Rouaud, Pascal Derkinderen, Arthur Lionnet, Adrien de Guilhem de Lataillade; Nice: Cosmin Alecu, Charlotte Heraud; Nîmes: Marie de Verdal; Paris—Pitié-Salpêtrière: Graziella Mangone, Sara Sambin, Aymeric Lanore, Thomas Courtin, Louise-Laure Mariani, Fouad Khoury, Poornima Menon, Florence Cormier-Dequaire, Emmanuel Flamand-Roze, David Grabli, Elodie Hainque, Marie Vidhaillet, Aurélie Meneret, Cécile Delorme, Cendrine Foucard, Florian Von Raison, Alexis Elbaz, Andreas Hartmann, Vincent Leclercq, Theodore Soulier, Daniel Torres, Giulia Coarelli, Giorgia Querin, Fabien Hauw, Margaux Dunoyer; Poitiers: Solène Ansquer; Rennes: Frederique Leh, Marion Leclercq, Simon Lamy; Reims: Guillaume Carey; Rouen: Guillaume Costentin, Clemence Hardy; Strasbourg: Mathieu Anheim, Ouhaid Lagha Boukbiza, Thomas Wirth, Jimmy Voirin, Marie Des Neiges Santin, Thomas Bogdan; Toulouse: Margherita Fabbri, Fabienne Ory-Magne, Christine Brefel Courbon, Clemence Leung, Hélène Catala, Gabrielle Sill, Raquel Pinheiro Barbosa. Data collection Contributors (Project Managers, Clinical Research Associate, Study Nurses, Secretary, Neuropsychologist): Aix-En-Provence: Lucy Famer; Avicenne Hospital: Lucie Braccagni, Hiba Sifaoui, Juliette Palisson, Kenza Benrahmoune Idrissi; Amiens: Astrid Causel, Lydie Romeo, Constance Bissessur; Besançon: Audace Cure-Martin, Charline Compagne; Bordeaux: Sandrine Dupouy, Sandrine Villars, Wei-Ho Lai; Caen: Rachida Bari, Damien Chevanne; Clermont-Ferrand: Elodie Durand, Isabelle Rieu, Stephane Bernard, Corinne Garsault, Nathalie Meunier; Créteil—Henri Mondor: Alexia Cresson, Marine Sgard, Marie Dreano, Justine Montillot, Renaud Massart; Dijon: Pascale Grebent; Grenoble: Pierre Pelissier; Lille: Valérie Santraine; Limoges: Thomas Gaudin, Pierre Boutet, Cécile Thuilier, Coralie Chalot, Céline Prevost, Hélène Videaud, Justine Picut, Christian Tarrade; Lyon: Catherine Caire, Hélène Merle, Elise Metereau, Mathilde Millot, Chloe Bernardi, Emilie Favre, Adelaide Jaulent; Marseille: Laura Mundler, Blandine Dufresne, Eve Benchetrit; Montpellier: Valérie Driss, Alexia Arifi, Maura Rodrigues; Nancy: Lili Le Monnier, Nathalie Dumont, Virginie Bablon; Nantes: Régis Frenais, Caroline Herve, Christelle Guimber; Nice: Vanessa Ferrier, Elodie David, Christina Faroul; Nîmes: Leslie Fra, Elsa Foucaran, Fatima-Ezzahra Ennaji; Paris—Pitié- Salpêtrière: Jeremy Bonetto, Ryad Ladghem-Chikouche, Mickael Le, Sophie Liot, Sonia Messar, Hamza Salah, Amelie Bernardo, Naoual Serari; Poitiers: Emilie Rabois, Carole David, Zoe Fournier; Reims: Margaux Bonnaire-Verdier, Elise Chevaillier; Rennes: Françoise Kestens, Rozenn Gourhan, Sandra Lopez-Alfaro, Jean-François Houvenaghel, Mélanie Alexandre, Christine Bourdonnais; Rouen: Linda Vernon, Ahmed Boumediene; Strasbourg: Hugo Rummel, Céline Julie, Nadine Longato, Célie Phillipps, Anne Claire Andries-Ros; Toulouse: Stéphanie Bras, Estelle Harroch, Claudia Gillet, Yoan Herades, Eva Camgrand. Ethical Compliance Statement: According to the French ethic and regulatory law (public health code) retrospective studies based on the exploitation of usual care data do not require to be submitted at an ethics committee but they have to be declared or covered by reference methodology of the French National Commission for Informatics and Liberties (CNIL). The authors confirm that the approval of an institutional review board was not required for this work. All patients received written information about the study, and could express their opposition rights through the cohort website in accordance to EU General Protection Data Regulation rules (https://parkinsonnetwork/la-cohorte-ns-park) (https://parkinson.network/). A collection and computer processing of personal and medical date was implemented to analyze the results of the research. Toulouse University Hospital signed a commitment of compliance to the reference methodology MR-004 of the French National Commission for Informatics and Liberties (CNIL). After evaluation and validation by the data protection officer and according to the General Data Protection Regulation*, this study completing all the criteria, it is register in the register of data study of the Toulouse University Hospital (number's register: RnIPH 2023-39) and cover by the MR-004 (CNIL number: 2206723 v 0). We confirm that we have read the Journal's position on issues involved in ethical publication and affirm that this work is consistent with those guidelines. Funding Sources and Conflicts of Interest: No specific funding was received for this work. The authors declare that there are no conflicts of interest relevant to this work. Financial Disclosures for the previous 12 months: CD received Honoraria to speak from Téva Santé and Expression Santé, consultancies for Téva Santé. GTS received consulting and advisory board honoraria from Alzheimer's Association, Critical Path Institute, International Parkinson and Movement Disorder Society, Huntington Study Group, Lilly USA, Michael J. Fox Foundation for Parkinson's Research, Neurocrine Biosciences, Inc., Octave Bioscience, Pfizer, Inc., Vima Therapeutics, Inc., WCG Clinical, Inc. He has received grants from Critical Path Institute, CHDI Management, Inc., International Parkinson and Movement Disorder Society, Michael J. Fox Foundation for Parkinson's Research, Ottawa Hospital Research Institute, University of California at San Diego, University of California at San Francisco. TAM received consulting and advisory board membership honoraria with Abbvie, International Parkinson and Movement Disorder Society, AbbVie, CHDI Foundation/Management, Merz, WAVE pharmaceutical, PTC therapeutics and Roche. He has research grants with EU Joint Program—Neurodegenerative Disease Research, uOBMRI, Roche, Ontario Research Fund, CIHR, Michael J. Fox Foundation for Parkinson's Research, Parkinson Canada, Parkinson Research Consortium and Brain Canada. He receives salary with University of Ottawa Medical Associates. RB received a travel grant from Lusofarmaco. Alvaro Sanchez-Ferro received grants or contracts from MDS (eDiary project), and Instituto de Salud Carlos III (reference number P122/01177); consulting fees from AbbVie, Boston Scientific, Esteve, Orion Pharma, Prim; and Roche and payment or honoraria for lectures, presentations, speakers bureaus, manuscript writing, or educational events from AbbVie, Bayer, Esteve, MDS Society, EAN, Novartis, Monitor, Organon, Roche, SEN, Stada, Teva, and Zambon. Salary: Leuko Labs and Hospital 12 de Octubre. Royalties from Patents. Stock: Leuko Labs. MHST received salary—Rush University; Professional Societies: working group supported by the International Parkinson and Movement Disorder Society. CG-S received consulting with honoraria: Instituto de Salud Carlos III. Grants: Community of Madrid Grant for Research Assistant. Funding to attend a scientific meeting: Esteve. CT has received honoraria or travel grants from AbbVie and Adelia. JCC has served in advisory boards for Alzprotect, Bayer, Ferrer, iRegene, Servier, UCB, Roche; and received grants from AXA and the ICM Foundation outside of this work. OR has acted as a scientific advisor for drug companies developing antiparkinsonian medications (Abbott, Abbvie, Acorda, Adamas, BIAL, Biogen, Boehringer-Ingelheim, Cynapsus, GSK, Impax, Merck, Osmotica, Oxford-Biomedica, Lundbeck, Novartis, Prexton, Servier, Sunovion, TEVA, UCB, Zambon). Margherita Fabbri received Honoraria to speak from AbbVie, ORKYN, and BIAL, consultancies from BIAL and LVL Medical; Grant from France Parkinson, HORIZON 2022 French Ministry of Health and MSA Coalition. The data that support the findings of this study are available on request from the corresponding author. The data are not publicly available due to privacy or ethical restrictions. Figure S1. Scree plots for each domain of the MDS-NMS, demonstrating the eigenvalue distribution across factors. The plots illustrate the distinct factor separations, with clear declines at the elbow points, confirming the number of meaningful factors retained for each domain. These visualizations support the robustness of the factor structure and align with theoretical expectations for domain-specific dimensionality. Data S1. Detailed Methodology of Analyses. Comprehensive description of the statistical procedures and analyses used for confirmatory and exploratory factor analyses of the French MDS-NMS, including estimation methods, rotation strategy, fit indices, and rationale for sample size. Table S1. Demographic data of the French Population. SD, standard deviation; PD, Parkinson's Disease; HY, Hoehn and Yahr. Table S2. Factor loadings and percent variance explained by each factor in the French version of the NMS-MDS Scale. Factor 1: The primary factor identified for each symptom domain; Symptoms: Specific symptoms assessed within each domain; Loading: The factor loading, indicating the correlation between each symptom and the underlying factor; Percent variance: The percentage of total variance in the symptoms explained by Factor 1 within each domain. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.241
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.019
GPT teacher head0.306
Teacher spread0.287 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreCommentary

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".

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Citations0
Published2025
Admission routes3
Has abstractyes

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Same venueMovement Disorders Clinical PracticeSame topicParkinson's Disease Mechanisms and TreatmentsFrench-language works237,207