Evidence map›Paper›PMID 41700751›Full record

Observational studyAnnals of clinical and translational neurology2026

A Prospective Study of Individuals at Risk of Multiple Sclerosis Informs the Design of Primary Prevention Studies.

Amy W Laitinen, Ceren Tozlu, Tina Roostaei, Fatoumata Diallo, Kaho Onomichi, Jiyeon Son, Zongqi Xia, Philip L De Jager

Registry-linked trialAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Annals of clinical and translational neurology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01353547 (Integrating Genetic and Environmental Risk Scores Into an Algorithm to Predict Multiple Sclerosis Susceptibility), which is not on this map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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.

NCT01353547 recruitingnot on this map

Integrating Genetic and Environmental Risk Scores Into an Algorithm to Predict Multiple Sclerosis Susceptibility

TypeobservationalSponsorColumbia UniversityRan2017 to 2040Enrolled5,000ConditionsMultiple Sclerosis
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Amy W LaitinenMarcus Neuroscience Institute, Baptist Health South Florida, Boca Raton, Florida, USA.
Ceren TozluDepartment of Radiology, Weill Cornell Medicine, New York, New York, USA.
Tina RoostaeiCenter for Translational & Computation Neuroimmunology, Columbia Multiple Sclerosis Center, Department of Neurology, Columbia University Irving Medical Center, New York, New York, USA.
Fatoumata DialloCenter for Translational & Computation Neuroimmunology, Columbia Multiple Sclerosis Center, Department of Neurology, Columbia University Irving Medical Center, New York, New York, USA.
Kaho OnomichiCenter for Translational & Computation Neuroimmunology, Columbia Multiple Sclerosis Center, Department of Neurology, Columbia University Irving Medical Center, New York, New York, USA.
Jiyeon SonCenter for Translational & Computation Neuroimmunology, Columbia Multiple Sclerosis Center, Department of Neurology, Columbia University Irving Medical Center, New York, New York, USA.
Zongqi XiaDepartment of Neurology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID https://orcid.org/0000-0003-1500-2589
Philip L De JagerDepartment of Radiology, Weill Cornell Medicine, New York, New York, USA.ORCID https://orcid.org/0000-0002-8057-2505

Funding

Leveraging electronic health records to optimize treatment selection and response in multiple sclerosisR01NS098023 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Zongqi Xia · 2016 to 2026
$4.6M
Leveraging genetics and environment to predict presymptomatic multiple sclerosisK08NS079493 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI XIA, ZONGQI · 2012 to 2016
$957k
National Multiple Sclerosis Society FG-2008-36976National Multiple Sclerosis Society R1708-28972National Multiple Sclerosis Society TA-2204-39428NINDS NIH HHS K08 NS079493NINDS NIH HHS R01 NS098023
6 · The paper itself

Abstract

objectiveIn multiple sclerosis, the optimal time for deploying a therapeutic intervention is before the central nervous system is damaged; given the success of trials treating the earliest stage of MS, the radiologically isolated syndrome, developing primary prevention strategies is an important next challenge. To inform this question, we examined the conversion of asymptomatic family members to a diagnosis of MS among Genes and Environment in Multiple Sclerosis (GEMS) project participants. We also evaluated an updated Genetic and Environmental risk score (GERS) and interest in participation in primary prevention trials.

methodsGEMS is a nationwide prospective study of first-degree relatives of persons with MS; we analyzed data from seven surveys completed over 11 years. 1903 participants completed all questionnaires at study entry. Biological samples were collected in a subset of participants.

resultsAmong these 1903 first degree relatives, 141 participants had MS at the time of enrollment; 18 participants converted to MS; and 1744 participants did not acquire an MS diagnosis during 8526 person-years of observation. The GERS was significantly higher among participants who had MS at the initial survey than those who did not have an MS diagnosis. The incidence rate of MS was estimated as 211 cases with a 95% confidence interval of 113 to 308 cases per 100,000 first-degree family members per year, which is 100 times greater than the reported incidence of sporadic MS. 48% of the asymptomatic participants were willing to participate in a prevention trial, while 75% expressed willingness when presented with a scenario assuming an elevated risk (20%) of developing MS based on genetic tests performed with blood samples.

interpretationPrimary prevention trials in MS are urgently needed. Our findings support the feasibility for such studies and inform the design of future primary prevention trials in individuals at risk for MS.

trial registrationClinicalTrials.gov identifier: NCT01353547.

Indexed as

Multiple SclerosisPrimary PreventionAdultFamilyFemaleHumansMaleMiddle AgedProspective Studiesgenetic risk scoremultiple sclerosisprimary prevention trial

Identifiers

PMID41700751
PMCPMC13394346

What OpenQuestion holds

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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.