The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.
Prevalence of Amyotrophic Lateral Sclerosis — United States, 2014
Open accessAbstract
Amyotrophic lateral sclerosis (ALS), commonly known as Lou Gehrig's disease, is a progressive and fatal neuromuscular disease; the majority of ALS patients die within 2-5 years of receiving a diagnosis (1). Familial ALS, a hereditary form of the disease, accounts for 5%-10% of cases, whereas the remaining cases have no clearly defined etiology (1). ALS affects persons of all races and ethnicities; however, whites, males, non-Hispanics, persons aged ≥60 years, and those with a family history of ALS are more likely to develop the disease (2). No cure for ALS has yet been identified, and the lack of proven and effective therapeutic interventions is an ongoing challenge. Treatments currently available, Edaravone and Riluzole, do not cure ALS, but slow disease progression in certain patients (3,4). This report presents National ALS Registry findings regarding ALS prevalence in the United States for the period January 1-December 31, 2015. In 2015, the estimated prevalence of ALS cases was 5.2 per 100,000 population with a total of 16,583 cases identified. Overall, these findings are similar to the 2014 ALS prevalence and case count (5.0 per 100,000; 15,927 cases) (2). Prevalence rates by patient characteristics (most common in whites, males, and persons aged ≥60 years) and U.S. Census regions are consistent with ALS demographics and have not changed from 2014 to 2015 calendar years. The algorithm used to identify cases from national administrative databases was updated from the International Classification of Diseases, Ninth Revision (ICD-9) to the ICD-10 codes for claims starting on October 1, 2015, with no apparent effect on case ascertainment. Data collected by the National ALS Registry are being used to better describe the epidemiology of ALS in the United States and to facilitate research on the genetics, potential biomarkers, environmental pollutants, and etiology for ALS.
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Cites
HOW COMMON ARE THE “COMMON” NEUROLOGIC DISORDERS?
Kaplin, A. I., & Williams, M. (2007) · Neurology · doi:10.1212/01.wnl.0000278071.91524.4d · Cited by 1,131
Chiò, A., Logroscino, G., Traynor, B. J., Collins, J., Simeone, J. C., Goldstein, L. A., & White, L. A. (2013) · Neuroepidemiology · doi:10.1159/000351153 · Cited by 862
An application of capture-recapture methods to the estimation of completeness of cancer registration
Robles, S. C., Marrett, L. D., Aileen Clarke, E., & Risch, H. A. (1988) · Journal of Clinical Epidemiology · doi:10.1016/0895-4356(88)90052-2 · Cited by 582
Human endogenous retrovirus-K contributes to motor neuron disease
Li, W., Lee, M.-H., Henderson, L., Tyagi, R., Bachani, M., Steiner, J., Campanac, E., Hoffman, D. A., von Geldern, G., Johnson, K., et al. (2015) · Science Translational Medicine · doi:10.1126/scitranslmed.aac8201 · Cited by 482
Multidisciplinary ALS care improves quality of life in patients with ALS
Van den Berg, J. P., Kalmijn, S., Lindeman, E., Veldink, J. H., de Visser, M., Van der Graaff, M. M., Wokke, J. H. J., & Van den Berg, L. H. (2005) · Neurology · doi:10.1212/01.wnl.0000180717.29273.12 · Cited by 343
Glass, J. D., Boulis, N. M., Johe, K., Rutkove, S. B., Federici, T., Polak, M., Kelly, C., & Feldman, E. L. (2012) · STEM CELLS · doi:10.1002/stem.1079 · Cited by 295
Population based epidemiology of amyotrophic lateral sclerosis using capture-recapture methodology
Huisman, M. H. B., de Jong, S. W., van Doormaal, P. T. C., Weinreich, S. S., Schelhaas, H. J., van der Kooi, A. J., de Visser, M., Veldink, J. H., & van den Berg, L. H. (2011) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp.2011.244939 · Cited by 270
The accuracy of medicare claims data in identifying Alzheimer's disease
Taylor, D. H., Fillenbaum, G. G., & Ezell, M. E. (2002) · Journal of Clinical Epidemiology · doi:10.1016/s0895-4356(02)00452-3 · Cited by 258
Chio, A. (2006) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp.2005.083402 · Cited by 232
Feldman, E. L., Boulis, N. M., Hur, J., Johe, K., Rutkove, S. B., Federici, T., Polak, M., Bordeau, J., Sakowski, S. A., & Glass, J. D. (2014) · Annals of Neurology · doi:10.1002/ana.24113 · Cited by 227
Cited by
Feigin, V. L., Nichols, E., Alam, T., Bannick, M. S., Beghi, E., Blake, N., Culpepper, W. J., Dorsey, E. R., Elbaz, A., Ellenbogen, R. G., et al. (2019) · The Lancet Neurology · doi:10.1016/s1474-4422(18)30499-x · Cited by 5,644
Ageing as a risk factor for neurodegenerative disease
Hou, Y., Dan, X., Babbar, M., Wei, Y., Hasselbalch, S. G., Croteau, D. L., & Bohr, V. A. (2019) · Nature Reviews Neurology · doi:10.1038/s41582-019-0244-7 · Cited by 3,310
Feigin, V. L., Abajobir, A. A., Abate, K. H., Abd-Allah, F., Abdulle, A. M., Abera, S. F., Abyu, G. Y., Ahmed, M. B., Aichour, A. N., Aichour, I., et al. (2017) · The Lancet Neurology · doi:10.1016/s1474-4422(17)30299-5 · Cited by 2,275
Epidemiology of amyotrophic lateral sclerosis: an update of recent literature
Longinetti, E., & Fang, F. (2019) · Current Opinion in Neurology · doi:10.1097/wco.0000000000000730 · Cited by 620
The epidemiology of amyotrophic lateral sclerosis
(2016) · Handbook of Clinical Neurology · doi:10.1016/b978-0-12-802973-2.00013-6 · Cited by 353
Metadata
- Authors
- Mehta, P., Kaye, W., Raymond, J., Wu, R., Larson, T., Punjani, R., Heller, D., Cohen, J., Peters, T., Muravov, O., & Horton, K.
- Venue
- MMWR. Morbidity and Mortality Weekly Report
- Published
- 2018-02-23
- Volume
- 67
- Issue
- 7
- Pages
- 216-218
- ISSN
- 0149-2195 (ISSN-L)
- 1545-861X
- OpenAlex
- W31801189
- Cited by
- 458
- References
- 46
- FWCI
- 32.75
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Mehta, P., Kaye, W., Raymond, J., Wu, R., Larson, T., Punjani, R., Heller, D., Cohen, J., Peters, T., Muravov, O., & Horton, K. (2018). Prevalence of Amyotrophic Lateral Sclerosis — United States, 2014. MMWR. Morbidity and Mortality Weekly Report. https://doi.org/10.15585/mmwr.mm6707a3
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.