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Phenotypic differences of amyotrophic lateral sclerosis (ALS) in China and Germany

Overview of attention for article published in Journal of Neurology, February 2018
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Title
Phenotypic differences of amyotrophic lateral sclerosis (ALS) in China and Germany
Published in
Journal of Neurology, February 2018
DOI 10.1007/s00415-018-8735-9
Pubmed ID
Authors

Angela Rosenbohm, Mingsheng Liu, Gabriele Nagel, Raphael S. Peter, Bo Cui, Xiaoguang Li, Jan Kassubek, Dietrich Rothenbacher, Dorothée Lulé, Liying Cui, Albert C. Ludolph, For the ALS Registry Swabia Study Group

Abstract

The aim of this study is to explore phenotypical differences of amyotrophic lateral sclerosis (ALS) between two cohorts from Germany and China. Registry-based studies of ALS were conducted in South-West Germany from 2010 to 2014 and an ALS clinic in Beijing from 2013 to 2016, respectively. Demographic and clinical features of 663 German and 276 Chinese ALS patients were collected and compared. Mean age-at-onset was higher in German than in Chinese ALS patients [66.6 years (95% CI 65.7, 67.5) vs. 53.2 years (95% CI 52.0, 54.5)]. Age distribution of ALS patients peaked around 70-74 years in Germany and 50-54 years in China. Bulbar onset was more prevalent among German than among Chinese patients (35.9 vs. 22.8%). Diagnostic delay was higher in the Chinese than in the German study sample (12 vs. 5 months). Cognitive deficits were more pronounced in the Chinese cohort. Both cohorts differed in smoking habits, prevalence of diabetes and in body mass index (BMI). The apparent discrepancies between German and Chinese ALS patients (age at onset, gender distribution, bulbar forms, cognitive dysfunction, risk factors) reveal a quite different clinical phenotype in China, maybe due to socioeconomic status, environmental factors or genetic background. The observed differences in phenotype need to be pursued by further epidemiological studies on environmental and genetic risk factors.

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Mendeley readers

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Geographical breakdown

Country Count As %
Unknown 56 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 7 13%
Researcher 6 11%
Professor 6 11%
Professor > Associate Professor 4 7%
Student > Ph. D. Student 3 5%
Other 9 16%
Unknown 21 38%
Readers by discipline Count As %
Medicine and Dentistry 9 16%
Neuroscience 8 14%
Nursing and Health Professions 4 7%
Biochemistry, Genetics and Molecular Biology 4 7%
Psychology 3 5%
Other 5 9%
Unknown 23 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 September 2018.
All research outputs
#20,533,292
of 23,103,436 outputs
Outputs from Journal of Neurology
#4,036
of 4,535 outputs
Outputs of similar age
#377,995
of 440,475 outputs
Outputs of similar age from Journal of Neurology
#80
of 89 outputs
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