Evidence map›Paper›PMID 26888980›Full record

ArticleNeurology2016

Multiple sclerosis prevalence in the United States commercially insured population.

Piyameth Dilokthornsakul, Robert J Valuck, Kavita V Nair, John R Corboy, Richard R Allen, Jonathan D Campbell

3 registry-linked trialsAbstract read
In one paragraph

Article in Neurology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 117 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
117citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

NCT05581472 naunknown statusnot on this mapstarted 2023, after this paper: background citation

Examining Different Components of Online Acceptance and Commitment Therapy for Chronic Pain in a Sample of People With Chiari Malformation

TypeinterventionalSponsorKent State UniversityRan2023 to 2024Enrolled113ConditionsChronic Pain, Chiari MalformationArmsOnline Acceptance and Commitment Therapy Intervention + Phone Coaching, Online Acceptance and Commitment Therapy Intervention without phone coaching
NCT06226831 unknown statusnot on this mapstarted 2020, after this paper: background citation

Onset of Lower Urinary Tract Symptoms in Multiple Sclerosis Patients

TypeobservationalSponsorUniversity Hospital OstravaRan2020 to 2025Enrolled1,500ConditionsLower Urinary Tract Symptoms, Multiple SclerosisArmsStructured interview
NCT06871072 nacompletednot on this mapstarted 2025, after this paper: background citation

Telerehabilitation for Multiple Sclerosis: Artificial Intelligence vs. Conventional Approaches in Strength Training. A Sin-gle-Blinded Randomized Clinical Trial

TypeinterventionalSponsorUniversity of CadizRan2025 to 2025Enrolled58ConditionsMultiple SclerosisArmsTelerehabilitation, Exercise program
3 · Its place in the literature

Who cites it

117 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  9. Multiple sclerosis: molecular pathogenesis and therapeutic intervention.Signal transduction and targeted therapy · 2025
    Review
  10. The epidemiology, pathology and pathogenesis of MS: Therapeutic implications.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2025
    Review
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57 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Piyameth DilokthornsakulFrom the Center for Pharmaceutical Outcomes Research (P.D., R.J.V., K.V.N., J.D.C.), University of Colorado Skaggs School of Pharmacy and Pharmaceutical Sciences, Aurora; Center of Pharmaceutical Outcomes Research (P.D.), Faculty of Pharmaceutical Sciences, Naresuan University, Muang, Phitsanulok, Thailand; Department of Neurology (J.R.C.), University of Colorado School of Medicine, Aurora; and Peak Statistical Services (R.R.A.), Evergreen, CO.
Robert J ValuckFrom the Center for Pharmaceutical Outcomes Research (P.D., R.J.V., K.V.N., J.D.C.), University of Colorado Skaggs School of Pharmacy and Pharmaceutical Sciences, Aurora; Center of Pharmaceutical Outcomes Research (P.D.), Faculty of Pharmaceutical Sciences, Naresuan University, Muang, Phitsanulok, Thailand; Department of Neurology (J.R.C.), University of Colorado School of Medicine, Aurora; and Peak Statistical Services (R.R.A.), Evergreen, CO.
Kavita V NairFrom the Center for Pharmaceutical Outcomes Research (P.D., R.J.V., K.V.N., J.D.C.), University of Colorado Skaggs School of Pharmacy and Pharmaceutical Sciences, Aurora; Center of Pharmaceutical Outcomes Research (P.D.), Faculty of Pharmaceutical Sciences, Naresuan University, Muang, Phitsanulok, Thailand; Department of Neurology (J.R.C.), University of Colorado School of Medicine, Aurora; and Peak Statistical Services (R.R.A.), Evergreen, CO.
John R CorboyFrom the Center for Pharmaceutical Outcomes Research (P.D., R.J.V., K.V.N., J.D.C.), University of Colorado Skaggs School of Pharmacy and Pharmaceutical Sciences, Aurora; Center of Pharmaceutical Outcomes Research (P.D.), Faculty of Pharmaceutical Sciences, Naresuan University, Muang, Phitsanulok, Thailand; Department of Neurology (J.R.C.), University of Colorado School of Medicine, Aurora; and Peak Statistical Services (R.R.A.), Evergreen, CO.
Richard R AllenFrom the Center for Pharmaceutical Outcomes Research (P.D., R.J.V., K.V.N., J.D.C.), University of Colorado Skaggs School of Pharmacy and Pharmaceutical Sciences, Aurora; Center of Pharmaceutical Outcomes Research (P.D.), Faculty of Pharmaceutical Sciences, Naresuan University, Muang, Phitsanulok, Thailand; Department of Neurology (J.R.C.), University of Colorado School of Medicine, Aurora; and Peak Statistical Services (R.R.A.), Evergreen, CO.
Jonathan D CampbellFrom the Center for Pharmaceutical Outcomes Research (P.D., R.J.V., K.V.N., J.D.C.), University of Colorado Skaggs School of Pharmacy and Pharmaceutical Sciences, Aurora; Center of Pharmaceutical Outcomes Research (P.D.), Faculty of Pharmaceutical Sciences, Naresuan University, Muang, Phitsanulok, Thailand; Department of Neurology (J.R.C.), University of Colorado School of Medicine, Aurora; and Peak Statistical Services (R.R.A.), Evergreen, CO. Jon.campbell@ucdenver.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo estimate the US commercially insured multiple sclerosis (MS) annual prevalence from 2008 to 2012.

methodsThe study was a retrospective analysis using PharMetrics Plus, a nationwide claims database for over 42 million covered US representative lives. Annual point prevalence required insurance eligibility during an entire year. Our primary annual MS identification algorithm required 2 inpatient claims coded ICD-9 340 or 3 outpatient claims coded ICD-9 340 or 1 MS-indicated disease-modifying therapy claim. Age-adjusted annual prevalence estimates were extrapolated to the US population using US Census data.

resultsThe 2012 MS prevalence was 149.2 per 100,000 individuals (95% confidence interval 147.6-150.9). Prevalence was consistent over 2008-2012. Female participants were 3.13 times more likely to have MS. The highest prevalence was in participants aged 45-49 years (303.5 per 100,000 individuals [295.6-311.5]). The East Census region recorded the highest prevalence (192.1 [188.2-196.0]); the West Census region recorded the lowest prevalence (110.7 [105.5-116.0]). The US annual 2012 MS extrapolated population was 403,630 (387,445-419,833).

conclusionsMS prevalence rates from a representative commercially insured database were higher than or consistent with prior US estimates. For further accuracy improvement of US prevalence estimates, results should be confirmed after validation of MS identification algorithms, and should be expanded to other US populations, including the government-insured and the uninsured.

Indexed as

Insurance, HealthPopulation SurveillanceAdolescentAdultAgedAged, 80 and overChildChild, PreschoolDatabases, FactualFemaleHumansMaleMiddle AgedMultiple SclerosisPrevalenceRetrospective Studies

Identifiers

PMID26888980
PMCPMC4799713

What OpenQuestion holds

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Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.