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Jost ST, Kaldenbach MA, Antonini A, Martinez-Martin P, Timmermann L, Odin P, Katzenschlager R, Borgohain R, Fasano A, Stocchi F, Hattori N, Kukkle PL, Rodríguez-Violante M, Falup-Pecurariu C, Schade S, Petry-Schmelzer JN, Metta V, Weintraub D, Deuschl G, Espay AJ, Tan EK, Bhidayasiri R, Fung VSC, Cardoso F, Trenkwalder C, Jenner P, Ray Chaudhuri K, Dafsari HS. Levodopa Dose Equivalency in Parkinson's Disease: Updated Systematic Review and Proposals. Mov Disord 2023. [PMID: 37147135 DOI: 10.1002/mds.29410] [Citation(s) in RCA: 63] [Impact Index Per Article: 63.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Revised: 03/07/2023] [Accepted: 03/29/2023] [Indexed: 05/07/2023] Open
Abstract
BACKGROUND To compare drug regimens across clinical trials in Parkinson's disease (PD) conversion formulae between antiparkinsonian drugs have been developed. These are reported in relation to levodopa as the benchmark drug in PD pharmacotherapy as 'levodopa equivalent dose' (LED). Currently, the LED conversion formulae proposed in 2010 by Tomlinson et al. based on a systematic review are predominantly used. However, new drugs with established and novel mechanisms of action and novel formulations of longstanding drugs have been developed since 2010. Therefore, consensus proposals for updated LED conversion formulae are needed. OBJECTIVES To update LED conversion formulae based on a systematic review. METHODS The MEDLINE, CENTRAL, and Embase databases were searched from January 2010 to July 2021. Additionally, in a standardized process according to the GRADE grid method, consensus proposals were issued for drugs with scarce data on levodopa dose equivalency. RESULTS The systematic database search yielded 3076 articles of which 682 were eligible for inclusion in the systematic review. Based on these data and the standardized consensus process, we present proposals for LED conversion formulae for a wide range of drugs that are currently available for the pharmacotherapy of PD or are expected to be introduced soon. CONCLUSIONS The LED conversion formulae issued in this Position Paper will serve as a research tool to compare the equivalence of antiparkinsonian medication across PD study cohorts and facilitate research on the clinical efficacy of pharmacological and surgical treatments as well as other non-pharmacological interventions in PD. © 2023 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Stefanie T Jost
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Marie-Ann Kaldenbach
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Angelo Antonini
- Parkinson and Movement Disorders Unit, Department of Neurosciences (DNS), University of Padua, Padova, Italy
| | - Pablo Martinez-Martin
- Center for Networked Biomedical Research in Neurodegenerative Diseases (CIBERNED), Carlos III Institute of Health, Madrid, Spain
| | - Lars Timmermann
- Department of Neurology, University Hospital Giessen and Marburg, Marburg, Germany
| | - Per Odin
- Division of Neurology, Lund University, Lund, Sweden
- Department of Neurology, Skåne University Hospital, Lund, Sweden
| | - Regina Katzenschlager
- Department of Neurology, Karl Landsteiner Institute for Neuroimmunological and Neurodegenerative Disorders at Klinik Donaustadt, Vienna, Austria
| | - Rupam Borgohain
- Department of Neurology, Nizam's Institute of Medical Sciences, Hyderabad, India
| | - Alfonso Fasano
- Edmond J. Safra Program in Parkinson's Disease, Morton and Gloria Shulman Movement Disorders Clinic, Toronto Western Hospital-University Health Network (UHN), Toronto, Ontario, Canada
- Division of Neurology, University of Toronto, Toronto, Ontario, Canada
- Krembil Research Institute, Toronto, Ontario, Canada
- Department of Parkinson's Disease & Movement Disorders Rehabilitation, Moriggia-Pelascini Hospital-Gravedona ed Uniti, Como, Italy
| | - Fabrizio Stocchi
- University and Institute for Research and Medical Care IRCCS San Raffaele, Rome, Italy
| | - Nobutaka Hattori
- Department of Neurology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Prashanth Lingappa Kukkle
- Center for Parkinson's Disease and Movement Disorders, Manipal Hospital, Bangalore, India
- Parkinson's Disease and Movement Disorders Clinic, Bangalore, India
| | - Mayela Rodríguez-Violante
- Insituto Nacional de Neurologia y Neurocirugia, Movement Disorders Clinic, Mexico City, Mexico
- Movement Disorder Clinic, National Institute of Neurology and Neurosurgery, Mexico City, Mexico
| | - Cristian Falup-Pecurariu
- Department of Neurology, Faculty of Medicine, Transilvania University of Brașov, Brașov, Romania
- Department of Neurology, County Emergency Clinic Hospital, Brașov, Romania
| | - Sebastian Schade
- Department of Clinical Neurophysiology, University Medical Center Göttingen, Göttingen, Germany
| | - Jan Niklas Petry-Schmelzer
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Vinod Metta
- Parkinson Foundation International Centre of Excellence, King's College Hospital, London, United Kingdom
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Daniel Weintraub
- Departments of Psychiatry and Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Parkinson's Disease Research, Education and Clinical Center (PADRECC), Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, Pennsylvania, USA
| | - Guenther Deuschl
- Department of Neurology, University Hospital Schleswig-Holstein (UKSH), Christian-Albrechts-University Kiel, Kiel, Germany
| | - Alberto J Espay
- University of Cincinnati Gardner Neuroscience Institute, Gardner Family Center for Parkinson's Disease and Movement Disorders, Department of Neurology, University of Cincinnati, Cincinnati, Ohio, USA
| | - Eng-King Tan
- Department of Neurology, National Neuroscience Institute, Singapore General Hospital, Singapore, Singapore
- Neuroscience and Behavioral Disorders (NBD) Department, Duke-NUS Medical School, Singapore, Singapore
| | - Roongroj Bhidayasiri
- Chulalongkorn Centre of Excellence for Parkinson's Disease & Related Disorders, Department of Medicine, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, Bangkok, Thailand
- The Academy of Science, The Royal Society of Thailand, Bangkok, Thailand
| | - Victor S C Fung
- Movement Disorder Unit, Department of Neurology, Westmead Hospital, Westmead, Australia
| | - Francisco Cardoso
- Movement Disorders Unit, Internal Medicine Department, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Claudia Trenkwalder
- Paracelsus-Elena-Klinik, Kassel, Germany
- Department of Neurosurgery, University Medical Center Göttingen, Göttingen, Germany
| | - Peter Jenner
- Institute of Pharmaceutical Sciences, Faculty of Life Sciences and Medicine, King's College London, London, United Kingdom
| | - K Ray Chaudhuri
- Department of Neurology, County Emergency Clinic Hospital, Brașov, Romania
- Department of Clinical Neurophysiology, University Medical Center Göttingen, Göttingen, Germany
- NIHR Mental Health Biomedical Research Centre and Dementia Biomedical Research Unit, South London and Maudsley NHS Foundation Trust and King's College London, London, United Kingdom
| | - Haidar S Dafsari
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
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Orayj K, Lane E. Patterns and Determinants of Prescribing for Parkinson's Disease: A Systematic Literature Review. PARKINSON'S DISEASE 2019; 2019:9237181. [PMID: 31781365 PMCID: PMC6875178 DOI: 10.1155/2019/9237181] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/18/2019] [Revised: 10/02/2019] [Accepted: 10/10/2019] [Indexed: 11/17/2022]
Abstract
Since the discovery of levodopa (L-dopa) in 1967, the range of medications available to treat Parkinson's disease has increased significantly and guidance on the use, efficacy, and safety of these medications has evolved. To assess levels of adherence to national prescribing guidelines and awareness of changes in the efficacy and safety data published in the profiles of medications for the treatment of PD, we have reviewed studies on patterns and determinants of prescribing PD medications conducted in the last 50 years (since the discovery of L-dopa). A systematic literature review was conducted using EMBASE (1967 to March, 2018), Ovid MEDLINE(R) ALL (1967 to March 16, 2018), PsycINFO (1967 to the 2nd week of March, 2018), and PubMed to identify all studies measuring prescribing patterns of PD medication between 1967 and 2017. Study design, source of data, country, year of study, number of patients and/or prescriptions, unit of analysis, prescribing determinants, and percentage utilisation of PD medications were extracted where possible. 44 studies examining prescribing patterns and/or prescribing determinants across 17 countries were identified. Unsurprisingly, L-dopa was the most commonly prescribed medication in all studies, accounting for 46.50% to 100% of all prescriptions for PD. In several studies, the prescribing rate of ergot-derived dopamine agonists (DAs) decreased over time in concordance with guidance. In contrast, the prescribing rates of non-ergot DAs increased over the last ten years in most of the included studies. In examining prescribing factors, two major categories were exemplified, patients' factors and prescribers' factors, with patients' age being the most common factor that affected the prescription in most studies. In conclusion, L-dopa is now the most commonly prescribed medication for cases of PD but there is large variation in the prescribing rates of catechol-O-methyltransferase (COMT) inhibitors, monoamine oxidase B (MAO-B) inhibitors, amantadine, and anticholinergics between countries. New studies examining the effects of recent clinical trials and measuring the prescribing rates of newly approved medications are warranted.
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Affiliation(s)
- Khalid Orayj
- School of Pharmacy and Pharmaceutical Sciences, Cardiff University, Redwood Building, King Edward VII Ave, Cardiff CF10 3NB, UK
- College of Pharmacy, King Khalid University, Abha, Saudi Arabia
| | - Emma Lane
- School of Pharmacy and Pharmaceutical Sciences, Cardiff University, Redwood Building, King Edward VII Ave, Cardiff CF10 3NB, UK
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