Validation of the French Translation of the Movement Disorder Society Non‐Motor Symptoms Scale ( <scp>MDS</scp> ‐ <scp>NMS</scp> ) in Parkinson's Disease
Notice bibliographique
Résumé
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.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,002 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».