Movement Disorders (revue)

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Potential outcome measures and trial design issues for multiple system atrophy

Identifieur interne : 002C67 ( Main/Curation ); précédent : 002C66; suivant : 002C68

Potential outcome measures and trial design issues for multiple system atrophy

Auteurs : Susanne May [États-Unis] ; Sid Gilman [États-Unis] ; B. Brooke Sowell [États-Unis] ; Ronald G. Thomas [États-Unis] ; Matthew B. Stern [États-Unis] ; Amy Colcher [États-Unis] ; Caroline M. Tanner [États-Unis] ; Neng Huang [États-Unis] ; Peter Novak [États-Unis] ; Stephen G. Reich [États-Unis] ; Joseph Jankovic [États-Unis] ; William G. Ondo [États-Unis] ; Phillip A. Low [États-Unis] ; Paola Sandroni [États-Unis] ; Axel Lipp [États-Unis] ; Frederick J. Marshall [États-Unis] ; Frederick Wooten [États-Unis] ; Clifford W. Shults [États-Unis]

Source :

RBID : ISTEX:770418AEC2F49F8EF9BC9B62A1A39C98D79F68B2

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English descriptors

Abstract

Multiple system atrophy (MSA) is a neurodegenerative disorder exhibiting a combination of parkinsonism, cerebellar ataxia, and autonomic failure. A disease‐specific scale, the Unified Multiple System Atrophy Rating Scale (UMSARS), has been developed and validated to measure progression of MSA, but its use as an outcome measure for therapeutic trials has not been evaluated. On the basis of twelve months of follow‐up from an observational study of 67 patients with probable MSA, we evaluated three disease‐specific scores: Activities of Daily Living, Motor Examination, and a combined score from the UMSARS and two general health scores, the Physical Health and Mental Health scores of the SF‐36 health survey, for their use as outcome measures in a therapeutic trial. We discuss related design issues and provide sample size estimates. Scores based on the disease‐specific UMSARS seemed to be equal or superior to scores based on the SF‐36 health survey. They appeared to capture disease progression, were well correlated and required the smallest sample size. The UMSARS Motor Examination score exhibited the most favorable characteristics as an outcome measure for a therapeutic trial in MSA with 1 year of follow‐up. © 2007 Movement Disorder Society

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DOI: 10.1002/mds.21734

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ISTEX:770418AEC2F49F8EF9BC9B62A1A39C98D79F68B2

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<div type="abstract" xml:lang="en">Multiple system atrophy (MSA) is a neurodegenerative disorder exhibiting a combination of parkinsonism, cerebellar ataxia, and autonomic failure. A disease‐specific scale, the Unified Multiple System Atrophy Rating Scale (UMSARS), has been developed and validated to measure progression of MSA, but its use as an outcome measure for therapeutic trials has not been evaluated. On the basis of twelve months of follow‐up from an observational study of 67 patients with probable MSA, we evaluated three disease‐specific scores: Activities of Daily Living, Motor Examination, and a combined score from the UMSARS and two general health scores, the Physical Health and Mental Health scores of the SF‐36 health survey, for their use as outcome measures in a therapeutic trial. We discuss related design issues and provide sample size estimates. Scores based on the disease‐specific UMSARS seemed to be equal or superior to scores based on the SF‐36 health survey. They appeared to capture disease progression, were well correlated and required the smallest sample size. The UMSARS Motor Examination score exhibited the most favorable characteristics as an outcome measure for a therapeutic trial in MSA with 1 year of follow‐up. © 2007 Movement Disorder Society</div>
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<region type="state">Texas</region>
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<region type="state">Minnesota</region>
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<placeName>
<region type="state">Virginie</region>
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<region type="state">Californie</region>
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<title xml:lang="en" level="a">Potential Outcome Measures and Trial Design Issues for Multiple System Atrophy</title>
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<s1>Department of Family and Preventive Medicine, University of California, San Diego</s1>
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<sZ>1 aut.</sZ>
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<s1>Department of Neurosciences, University of California, San Diego</s1>
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<sZ>1 aut.</sZ>
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<s1>Department of Neurology, University of Michigan</s1>
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<s1>Department of Neurosciences, University of California, San Diego</s1>
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<sZ>5 aut.</sZ>
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<placeName>
<region type="state">Pennsylvanie</region>
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<sZ>7 aut.</sZ>
<sZ>8 aut.</sZ>
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<placeName>
<region type="state">Californie</region>
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<author>
<name sortKey="Neng Huang" sort="Neng Huang" uniqKey="Neng Huang" last="Neng Huang">NENG HUANG</name>
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<s1>Parkinson's Institute</s1>
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<sZ>7 aut.</sZ>
<sZ>8 aut.</sZ>
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<placeName>
<region type="state">Californie</region>
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<s1>Department of Neurology, Boston University</s1>
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<sZ>9 aut.</sZ>
</inist:fA14>
<country>États-Unis</country>
<placeName>
<region type="state">Massachusetts</region>
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<s1>Department of Neurology, University of Maryland, School of Medicine</s1>
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<sZ>10 aut.</sZ>
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<placeName>
<region type="state">Maryland</region>
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<name sortKey="Jankovic, Joseph" sort="Jankovic, Joseph" uniqKey="Jankovic J" first="Joseph" last="Jankovic">Joseph Jankovic</name>
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<s1>Department of Neurology, Baylor College of Medicine</s1>
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<sZ>11 aut.</sZ>
<sZ>12 aut.</sZ>
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<placeName>
<region type="state">Texas</region>
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<placeName>
<settlement type="city">Houston</settlement>
<region type="state">Texas</region>
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<sZ>11 aut.</sZ>
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<placeName>
<region type="state">Texas</region>
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<s1>Department of Neurology, Mayo Clinic</s1>
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<sZ>13 aut.</sZ>
<sZ>14 aut.</sZ>
<sZ>15 aut.</sZ>
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<country>États-Unis</country>
<placeName>
<region type="state">Minnesota</region>
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<name sortKey="Sandroni, Paola" sort="Sandroni, Paola" uniqKey="Sandroni P" first="Paola" last="Sandroni">Paola Sandroni</name>
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<s1>Department of Neurology, Mayo Clinic</s1>
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<sZ>13 aut.</sZ>
<sZ>14 aut.</sZ>
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<placeName>
<region type="state">Minnesota</region>
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<s1>Department of Neurology, Mayo Clinic</s1>
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<sZ>13 aut.</sZ>
<sZ>14 aut.</sZ>
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<placeName>
<region type="state">Minnesota</region>
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<s1>Department of Neurology, University of Rochester</s1>
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<sZ>16 aut.</sZ>
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<placeName>
<region type="state">État de New York</region>
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<s1>Department of Neurology, University of Virginia Health System</s1>
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<sZ>17 aut.</sZ>
</inist:fA14>
<country>États-Unis</country>
<placeName>
<region type="state">Virginie</region>
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<sZ>1 aut.</sZ>
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<region type="state">Californie</region>
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<placeName>
<region type="state">Californie</region>
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<div type="abstract" xml:lang="en">Multiple system atrophy (MSA) is a neurodegenerative disorder exhibiting a combination of parkinsonism, cerebellar ataxia, and autonomic failure. A disease‐specific scale, the Unified Multiple System Atrophy Rating Scale (UMSARS), has been developed and validated to measure progression of MSA, but its use as an outcome measure for therapeutic trials has not been evaluated. On the basis of twelve months of follow‐up from an observational study of 67 patients with probable MSA, we evaluated three disease‐specific scores: Activities of Daily Living, Motor Examination, and a combined score from the UMSARS and two general health scores, the Physical Health and Mental Health scores of the SF‐36 health survey, for their use as outcome measures in a therapeutic trial. We discuss related design issues and provide sample size estimates. Scores based on the disease‐specific UMSARS seemed to be equal or superior to scores based on the SF‐36 health survey. They appeared to capture disease progression, were well correlated and required the smallest sample size. The UMSARS Motor Examination score exhibited the most favorable characteristics as an outcome measure for a therapeutic trial in MSA with 1 year of follow‐up. © 2007 Movement Disorder Society</div>
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