- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04454892
Natural History and Clinical Features of Amyotrophic Lateral Sclerosis (ALS)
June 29, 2020 updated by: Peking University Third Hospital
A Study on the Natural History and Clinical Features of Amyotrophic Lateral Sclerosis (ALS) in Mainland China
- Describe the distribution of ALS in mainland China, to explore the differences in the number of ALS in different times, regions and populations in order to further explore the causes affecting the distribution of ALS;
- To investigate the cause of ALS in mainland China in the crowd disease development process and the corresponding characteristics change ;
- To explore the effect of prognosis of ALS;
Study Overview
Status
Recruiting
Conditions
Intervention / Treatment
Detailed Description
With the development of supportive measures, the natural history of ALS has changed.
Researchers compared the natural history of ALS patients from 1999-2004 and 1984-1998 and found that the median survival time was significantly longer in the former than in the latter (4.32 years vs. 3.22 years) and that the disease progression was slower in the former, even after adjusting for other confounding factors.
Although previous studies have provided reference for the diagnosis and treatment of ALS, the etiology of ALS is still unknown, and the relevant clinical features and natural history of ALS still lack the verification of large samples.
Therefore, the research on the natural history of ALS is of great significance to further increase the understanding of ALS and provide new evidence for the diagnosis and treatment of ALS.
Study Type
Observational
Enrollment (Anticipated)
3000
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Contact
- Name: Lu Tang, Msc
- Phone Number: 13811854649
- Email: tanglu@bjmu.edu.cn
Study Locations
-
-
-
Beijing, China
- Recruiting
- Peking University Third Hospital
-
Contact:
- Dongsheng Fan, PHD. MD
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-
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
- ADULT
- OLDER_ADULT
- CHILD
Accepts Healthy Volunteers
No
Genders Eligible for Study
All
Sampling Method
Non-Probability Sample
Study Population
ALS patients in mainland China.
Description
Inclusion Criteria:
- Patients were diagnosed with ALS recruited from all participant clinical centers.The diagnosis of ALS was made using the revised El Escorial criteria for definite, probable, lab-supported, and possible.
Exclusion Criteria:
- Decline to follow-up.
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
|
Amyotrophic lateral sclerosis patients
Although previous studies have provided reference for the diagnosis and treatment of ALS, the etiology of ALS is still unknown, and the relevant clinical features and natural history of ALS still lack the verification of large samples.
Therefore, the research on the natural history of ALS is of great significance to further increase the understanding of ALS and provide new evidence for the diagnosis and treatment of ALS
|
AMYOTROPHIC lateral sclerosis (ALS) is a degenerative disorder of motor neurons in the cortex, brainstem and spinal cord1,2.
Its cause is unknown and it is uniformly fatal, typically within five years3
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Overall Survival
Time Frame: 5 years to 10 years after recruitment
|
Time interval from disease diagnosis to death
|
5 years to 10 years after recruitment
|
|
Indicators of disease progression
Time Frame: 1 year to 10 years after recruitment
|
1) in the diagnosis of disease progression (⊿ FS) = (diagnosis of FRS - R score - when follow-up FRS - R)/diagnosis and follow-up time 2)Weight loss =(weight at diagnosis - weight at follow-up)/time to follow-up 3) BMI decreased = (BMI) at the time of diagnosis of BMI - follow-up/diagnosis and follow-up time 4) FVC decreased = (FVC - during the diagnosis to follow-up FVC)/diagnosis and follow-up time 5) between the above indexes can also be in all follow-up multiple numerical calculation, observing the trend of the change over time
|
1 year to 10 years after recruitment
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (ACTUAL)
November 1, 2019
Primary Completion (ANTICIPATED)
December 1, 2030
Study Completion (ANTICIPATED)
December 1, 2030
Study Registration Dates
First Submitted
June 29, 2020
First Submitted That Met QC Criteria
June 29, 2020
First Posted (ACTUAL)
July 2, 2020
Study Record Updates
Last Update Posted (ACTUAL)
July 2, 2020
Last Update Submitted That Met QC Criteria
June 29, 2020
Last Verified
June 1, 2020
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- PUTH2019388
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
NO
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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