ReviewNeurology2019
A new way to estimate neurologic disease prevalence in the United States: Illustrated with MS.
Open access · bronzeAbstract readReview
In one paragraph
Review in Neurology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.
0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
5.1field-weighted citation impact, top 4% of its field
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
41 citing papers in PubMed, 56 citations in OpenAlex.
- Counting what counts: Time for an annual statistical update on neurologic health equity.Equity neuroscience · 2026Article
- Detection of Lipid-Mediated Diffused Pathological Changes in Multiple Sclerosis.Research square · 2026Article
- Bridging the Pregnancy Knowledge Gap: A Real-World Analysis of Medication Use and Drug-Drug Interaction Risk in Crohn's Disease and Multiple Sclerosis.Clinical and translational science · 2026Article
- Designing studies for post-treatment Lyme disease and other infection-associated chronic illnesses.Brain : a journal of neurology · 2026Review
- Evaluation of the construct validity of the Michigan Fatigability Index (MIFI) short forms: a cross-sectional survey study.Journal of patient-reported outcomes · 2026Article
- Site- and Size-Controlled PEGylation Modulates Biointerfaces and Immunoregulatory Functions of Bifunctional Peptides in an Autoimmune Disease Model.ACS applied materials & interfaces · 2026Article
- Instrumented Timed Up and Go Test as a Tool to Early Detection of Gait and Functional Mobility Impairments in Multiple Sclerosis.Journal of clinical medicine · 2026Article
- Mutation-selection-drift balance models of complex diseases.Genetics · 2025Article
- Patient-Centered, Theory-Based, Online Intervention to Promote a Physically Active Lifestyle for People With Multiple Sclerosis: Protocol for a Randomized Controlled Trial.JMIR research protocols · 2025Article
- Exploring Different Levels of Contact Frequency in Multiple Sclerosis Care.Brain and behavior · 2025Article
- Mutation-selection-drift balance models of complex diseases.bioRxiv : the preprint server for biology · 2025Article
- Durable T cell immunity to COVID-19 vaccines in MS patients on B cell depletion therapy.NPJ vaccines · 2025Article
- Decreased lymph node estrogen levels cause nonremitting progressive experimental autoimmune encephalomyelitis disease.PNAS nexus · 2025Article
- Biological and therapeutic significance of targeting NLRP3 inflammasome in the brain and the current efforts to develop brain-penetrant inhibitors.Advances in pharmacology (San Diego, Calif.) · 2025Review
- The prevalence of multiple sclerosis in Israel based on validation of a health care organization database.Scientific reports · 2024Article
- Proteolipid Protein-Induced Mouse Model of Multiple Sclerosis Requires B Cell-Mediated Antigen Presentation.Journal of immunology (Baltimore, Md. : 1950) · 2023Article
- Lived experience of persons with multiple sclerosis: A qualitative interview study.Brain and behavior · 2023Article
- Immune monitoring of SARS-CoV-2-specific T cell and B cell responses in patients with multiple sclerosis treated with ocrelizumab.Frontiers in immunology · 2023Article
- Interventions to Improve Quality of Life in Multiple Sclerosis: New Opportunities and Key Talking Points.Degenerative neurological and neuromuscular disease · 2023Review
- Perceived facilitators, needs, and barriers to health related quality of life in people with multiple sclerosis: a qualitative investigation.Journal of patient-reported outcomes · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 5 institutions in 2 countries.
Lorene M NelsonFrom the Division of Epidemiology, Department of Health Research and Policy (L.M.N.), Stanford University School of Medicine, Stanford, CA; Department of Veterans Affairs Multiple Sclerosis Center of Excellence (VA MSCoE) and Georgetown University School of Medicine (M.T.W.), Washington, DC; Department of Internal Medicine (R.A.M.), Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada; VA MS Center of Excellence and University of Maryland (W.J.C.), Baltimore; Neurology Department (A.L.-G.), Kaiser Permanente Southern California, Los Angeles; University of Colorado (J.C.), Denver; Brown University (S.B.), Providence, RI; University of British Columbia (H.T.), Vancouver, Canada; University of Alabama at Birmingham (G.C.); McKing Consulting Corporation (W.K., L.W.), Atlanta, GA; and National Multiple Sclerosis Society (N.G.L.), New York, NY. lnelson@stanford.edu.
Mitchell T WallinFrom the Division of Epidemiology, Department of Health Research and Policy (L.M.N.), Stanford University School of Medicine, Stanford, CA; Department of Veterans Affairs Multiple Sclerosis Center of Excellence (VA MSCoE) and Georgetown University School of Medicine (M.T.W.), Washington, DC; Department of Internal Medicine (R.A.M.), Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada; VA MS Center of Excellence and University of Maryland (W.J.C.), Baltimore; Neurology Department (A.L.-G.), Kaiser Permanente Southern California, Los Angeles; University of Colorado (J.C.), Denver; Brown University (S.B.), Providence, RI; University of British Columbia (H.T.), Vancouver, Canada; University of Alabama at Birmingham (G.C.); McKing Consulting Corporation (W.K., L.W.), Atlanta, GA; and National Multiple Sclerosis Society (N.G.L.), New York, NY.
Ruth Ann MarrieFrom the Division of Epidemiology, Department of Health Research and Policy (L.M.N.), Stanford University School of Medicine, Stanford, CA; Department of Veterans Affairs Multiple Sclerosis Center of Excellence (VA MSCoE) and Georgetown University School of Medicine (M.T.W.), Washington, DC; Department of Internal Medicine (R.A.M.), Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada; VA MS Center of Excellence and University of Maryland (W.J.C.), Baltimore; Neurology Department (A.L.-G.), Kaiser Permanente Southern California, Los Angeles; University of Colorado (J.C.), Denver; Brown University (S.B.), Providence, RI; University of British Columbia (H.T.), Vancouver, Canada; University of Alabama at Birmingham (G.C.); McKing Consulting Corporation (W.K., L.W.), Atlanta, GA; and National Multiple Sclerosis Society (N.G.L.), New York, NY.
W J CulpepperFrom the Division of Epidemiology, Department of Health Research and Policy (L.M.N.), Stanford University School of Medicine, Stanford, CA; Department of Veterans Affairs Multiple Sclerosis Center of Excellence (VA MSCoE) and Georgetown University School of Medicine (M.T.W.), Washington, DC; Department of Internal Medicine (R.A.M.), Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada; VA MS Center of Excellence and University of Maryland (W.J.C.), Baltimore; Neurology Department (A.L.-G.), Kaiser Permanente Southern California, Los Angeles; University of Colorado (J.C.), Denver; Brown University (S.B.), Providence, RI; University of British Columbia (H.T.), Vancouver, Canada; University of Alabama at Birmingham (G.C.); McKing Consulting Corporation (W.K., L.W.), Atlanta, GA; and National Multiple Sclerosis Society (N.G.L.), New York, NY.
Annette Langer-GouldFrom the Division of Epidemiology, Department of Health Research and Policy (L.M.N.), Stanford University School of Medicine, Stanford, CA; Department of Veterans Affairs Multiple Sclerosis Center of Excellence (VA MSCoE) and Georgetown University School of Medicine (M.T.W.), Washington, DC; Department of Internal Medicine (R.A.M.), Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada; VA MS Center of Excellence and University of Maryland (W.J.C.), Baltimore; Neurology Department (A.L.-G.), Kaiser Permanente Southern California, Los Angeles; University of Colorado (J.C.), Denver; Brown University (S.B.), Providence, RI; University of British Columbia (H.T.), Vancouver, Canada; University of Alabama at Birmingham (G.C.); McKing Consulting Corporation (W.K., L.W.), Atlanta, GA; and National Multiple Sclerosis Society (N.G.L.), New York, NY.
Jon CampbellFrom the Division of Epidemiology, Department of Health Research and Policy (L.M.N.), Stanford University School of Medicine, Stanford, CA; Department of Veterans Affairs Multiple Sclerosis Center of Excellence (VA MSCoE) and Georgetown University School of Medicine (M.T.W.), Washington, DC; Department of Internal Medicine (R.A.M.), Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada; VA MS Center of Excellence and University of Maryland (W.J.C.), Baltimore; Neurology Department (A.L.-G.), Kaiser Permanente Southern California, Los Angeles; University of Colorado (J.C.), Denver; Brown University (S.B.), Providence, RI; University of British Columbia (H.T.), Vancouver, Canada; University of Alabama at Birmingham (G.C.); McKing Consulting Corporation (W.K., L.W.), Atlanta, GA; and National Multiple Sclerosis Society (N.G.L.), New York, NY.
Stephen BukaFrom the Division of Epidemiology, Department of Health Research and Policy (L.M.N.), Stanford University School of Medicine, Stanford, CA; Department of Veterans Affairs Multiple Sclerosis Center of Excellence (VA MSCoE) and Georgetown University School of Medicine (M.T.W.), Washington, DC; Department of Internal Medicine (R.A.M.), Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada; VA MS Center of Excellence and University of Maryland (W.J.C.), Baltimore; Neurology Department (A.L.-G.), Kaiser Permanente Southern California, Los Angeles; University of Colorado (J.C.), Denver; Brown University (S.B.), Providence, RI; University of British Columbia (H.T.), Vancouver, Canada; University of Alabama at Birmingham (G.C.); McKing Consulting Corporation (W.K., L.W.), Atlanta, GA; and National Multiple Sclerosis Society (N.G.L.), New York, NY.
Helen TremlettFrom the Division of Epidemiology, Department of Health Research and Policy (L.M.N.), Stanford University School of Medicine, Stanford, CA; Department of Veterans Affairs Multiple Sclerosis Center of Excellence (VA MSCoE) and Georgetown University School of Medicine (M.T.W.), Washington, DC; Department of Internal Medicine (R.A.M.), Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada; VA MS Center of Excellence and University of Maryland (W.J.C.), Baltimore; Neurology Department (A.L.-G.), Kaiser Permanente Southern California, Los Angeles; University of Colorado (J.C.), Denver; Brown University (S.B.), Providence, RI; University of British Columbia (H.T.), Vancouver, Canada; University of Alabama at Birmingham (G.C.); McKing Consulting Corporation (W.K., L.W.), Atlanta, GA; and National Multiple Sclerosis Society (N.G.L.), New York, NY.
Gary CutterFrom the Division of Epidemiology, Department of Health Research and Policy (L.M.N.), Stanford University School of Medicine, Stanford, CA; Department of Veterans Affairs Multiple Sclerosis Center of Excellence (VA MSCoE) and Georgetown University School of Medicine (M.T.W.), Washington, DC; Department of Internal Medicine (R.A.M.), Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada; VA MS Center of Excellence and University of Maryland (W.J.C.), Baltimore; Neurology Department (A.L.-G.), Kaiser Permanente Southern California, Los Angeles; University of Colorado (J.C.), Denver; Brown University (S.B.), Providence, RI; University of British Columbia (H.T.), Vancouver, Canada; University of Alabama at Birmingham (G.C.); McKing Consulting Corporation (W.K., L.W.), Atlanta, GA; and National Multiple Sclerosis Society (N.G.L.), New York, NY.
Wendy KayeFrom the Division of Epidemiology, Department of Health Research and Policy (L.M.N.), Stanford University School of Medicine, Stanford, CA; Department of Veterans Affairs Multiple Sclerosis Center of Excellence (VA MSCoE) and Georgetown University School of Medicine (M.T.W.), Washington, DC; Department of Internal Medicine (R.A.M.), Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada; VA MS Center of Excellence and University of Maryland (W.J.C.), Baltimore; Neurology Department (A.L.-G.), Kaiser Permanente Southern California, Los Angeles; University of Colorado (J.C.), Denver; Brown University (S.B.), Providence, RI; University of British Columbia (H.T.), Vancouver, Canada; University of Alabama at Birmingham (G.C.); McKing Consulting Corporation (W.K., L.W.), Atlanta, GA; and National Multiple Sclerosis Society (N.G.L.), New York, NY.
Laurie WagnerFrom the Division of Epidemiology, Department of Health Research and Policy (L.M.N.), Stanford University School of Medicine, Stanford, CA; Department of Veterans Affairs Multiple Sclerosis Center of Excellence (VA MSCoE) and Georgetown University School of Medicine (M.T.W.), Washington, DC; Department of Internal Medicine (R.A.M.), Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada; VA MS Center of Excellence and University of Maryland (W.J.C.), Baltimore; Neurology Department (A.L.-G.), Kaiser Permanente Southern California, Los Angeles; University of Colorado (J.C.), Denver; Brown University (S.B.), Providence, RI; University of British Columbia (H.T.), Vancouver, Canada; University of Alabama at Birmingham (G.C.); McKing Consulting Corporation (W.K., L.W.), Atlanta, GA; and National Multiple Sclerosis Society (N.G.L.), New York, NY.
Nicholas G LaroccaFrom the Division of Epidemiology, Department of Health Research and Policy (L.M.N.), Stanford University School of Medicine, Stanford, CA; Department of Veterans Affairs Multiple Sclerosis Center of Excellence (VA MSCoE) and Georgetown University School of Medicine (M.T.W.), Washington, DC; Department of Internal Medicine (R.A.M.), Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada; VA MS Center of Excellence and University of Maryland (W.J.C.), Baltimore; Neurology Department (A.L.-G.), Kaiser Permanente Southern California, Los Angeles; University of Colorado (J.C.), Denver; Brown University (S.B.), Providence, RI; University of British Columbia (H.T.), Vancouver, Canada; University of Alabama at Birmingham (G.C.); McKing Consulting Corporation (W.K., L.W.), Atlanta, GA; and National Multiple Sclerosis Society (N.G.L.), New York, NY.
United States Multiple Sclerosis Prevalence Workgroup
University of British Columbia · CAUniversity of Colorado Denver · USKaiser Permanente · USMcKing Consulting (United States) · USBrown University · US
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveConsiderable gaps exist in knowledge regarding the prevalence of neurologic diseases, such as multiple sclerosis (MS), in the United States. Therefore, the MS Prevalence Working Group sought to review and evaluate alternative methods for obtaining a scientifically valid estimate of national MS prevalence in the current health care era.
methodsWe carried out a strengths, weaknesses, opportunities, and threats (SWOT) analysis for 3 approaches to estimate MS prevalence: population-based MS registries, national probability health surveys, and analysis of administrative health claims databases. We reviewed MS prevalence studies conducted in the United States and critically examined possible methods for estimating national MS prevalence.
resultsWe developed a new 4-step approach for estimating MS prevalence in the United States. First, identify administrative health claim databases covering publicly and privately insured populations in the United States. Second, develop and validate a highly accurate MS case-finding algorithm that can be standardly applied in all databases. Third, apply a case definition algorithm to estimate MS prevalence in each population. Fourth, combine MS prevalence estimates into a single estimate of US prevalence, weighted according to the number of insured persons in each health insurance segment.
conclusionsBy addressing methodologic challenges and proposing a new approach for measuring the prevalence of MS in the United States, we hope that our work will benefit scientists who study neurologic and other chronic conditions for which national prevalence estimates do not exist.
Indexed as
Models, TheoreticalHumansNervous System DiseasesPrevalenceUnited States
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