Literature DB >> 28279128

Landscape of MS patient cohorts and registries: Recommendations for maximizing impact.

Bruce F Bebo1, Robert J Fox2, Karen Lee3, Ursula Utz4, Alan J Thompson5.   

Abstract

BACKGROUND: There is a growing number of cohorts and registries collecting phenotypic and genotypic data from groups of multiple sclerosis patients. Improved awareness and better coordination of these efforts is needed.
OBJECTIVE: The purpose of this report is to provide a global landscape of the major longitudinal MS patient data collection efforts and share recommendations for increasing their impact.
METHODS: A workshop that included over 50 MS research and clinical experts from both academia and industry was convened to evaluate how current and future MS cohorts could be better used to provide answers to urgent questions about progressive MS.
RESULTS: The landscape analysis revealed a significant number of largely uncoordinated parallel studies. Strategic oversight and direction is needed to streamline and leverage existing and future efforts. A number of recommendations for enhancing these efforts were developed.
CONCLUSIONS: Better coordination, increased leverage of evolving technology, cohort designs that focus on the most important unanswered questions, improved access, and more sustained funding will be needed to close the gaps in our understanding of progressive MS and accelerate the development of effective therapies.

Entities:  

Keywords:  Progressive MS; biospecimens; cohort study; data collection; patient-reported outcomes; registries

Mesh:

Year:  2017        PMID: 28279128      PMCID: PMC5987851          DOI: 10.1177/1352458517698250

Source DB:  PubMed          Journal:  Mult Scler        ISSN: 1352-4585            Impact factor:   6.312


Introduction

Although clinical trials are the gold standard for obtaining rigorous clinical data, their focus on individual agents and their relatively short duration limit their value for answering critical questions related to the evolution of multiple sclerosis (MS), particularly as it transitions into the progressive phase. For most individuals with MS, the progressive course can take more than 10 years to develop and then evolves over many decades, thus much longer follow-up is needed. Registries and cohorts that follow patients over a long time in a real-world environment have the potential to identify factors contributing to disability progression, individuals who are likely to benefit from early treatment, and the most effective treatment approach. Furthermore, if detailed physician- and patient-reported data are accompanied by both magnetic resonance imaging (MRI) of the central nervous system (CNS) and biological samples, significant insight into the pathophysiology of progressive MS could be achieved, which would likely accelerate development of disease-modifying treatments. Substantial investments are being made in a growing number of efforts collecting detailed phenotypic and genotypic data from groups of MS patients. Improved awareness of existing and planned cohorts and registries is needed to better coordinate these efforts and maximize the impact of the limited resources available to support them. Greater coordination will reduce duplication, enhance scientific credibility, and sharpen the focus on the most critical unanswered questions in MS. The purpose of this report is to provide a landscape of the current and planned longitudinal MS patient data collection efforts and propose recommendations for increasing their impact.

Landscape

MS cohort and registry studies have provided fundamental information about MS prevalence and incidence, rates of disability progression, and life expectancy. More contemporary studies of correlations between outcome and demographic/clinical data,[1] the presence or absence of associations between exposure and MS risk,[2-4] disease-modifying therapy use and disability progression,[5] and a proposed algorithm defining secondary progressive MS[6] have added to our understanding of the natural history of MS. A growing number of data collection efforts are underway (Table 1). These efforts differ in their genesis, recruitment criteria, types and frequencies of data collected (clinical, patient-reported outcomes, biospecimens, imaging), catchment area, and duration of follow-up, among others.
Table 1.

Sample of major MS cohorts and registries underway.

CohortURLPrimary contact-emailKey attributesOpen AccessNo. of active participants/registrantsEnrollment datesGeographic catchmentCIS/relapsing/progressivePlasma/serum/cellsDNA/RNAMRI imaging data/frequencyPhysician-reported outcomesPatient-reported outcomes
Accelerated Cure Project www.acceleratedcure.org sloud@acceleratedcure.org High-quality biospecimens with extensive associated dataYes3220 total (1787 MS + controls)2006–201210 MS clinics in the United StatesYes/yes/yesYes/yes/yesYes/yesNo images, only descriptorsYesYes
British Columbia MS Database http://epims.med.ubc.ca/ helen.tremlett@ubc.ca Longitudinal, clinical, linkable to population-based health administrative dataUpon requestTotal (1980–present): 10,000+August/1980–presentBritish Columbia, CanadaLimited/yes/yesStudy-specific collection onlyStudy-specific collection onlyStudy-specific collection onlyYesStudy-specific collection only
Centre d’Esclerosi Múltiple de Catalunya (Cemcat) https://www.cem-cat.org/ xavier.montalban@cem-cat.org Longitudinal deep phenotypingNo25001995–presentCatalonia, SpainYes/yes/noYes/yes/yesYes/yesBaseline, year 1, every 5 yearsYesNo
Cleveland Clinic Knowledge Program COHENJ@ccf.org Longitudinal follow-up of clinic populationNo49002007–presentOhio/Midwest, also national and internationalYes/yes/yesNo/no/noNo/noYes, ad hocYesYes
Comprehensive Longitudinal Investigation of MS (CLIMB) http://www.climbstudy.org tchitnis@rics.bwh.harvard.edu Longitudinal deep phenotypingUpon request2100February 2000–presentBoston/greater New EnglandYes/yes/yesYes/yes/yesYes/derivedYes, annualYesSubset
Danish MS Registry (DMSR) http://www.ms-research.dk/ melinda_magyari@dadlnet.dk Longitudinal, nationwide, population basedYes by application25,000Since 1956DenmarkYes/yes/yesNo/no/no only CSFNoNoYesYes
iConquerMS https://www.iconquerms.org/for-researchers iConquerMS@acceleratedcure.org Patient-powered research; longitudinal; patient-reported outcomesYes3200 and growingFebruary 2015–presentPrimarily US-based with no geographic limitations (worldwide)Yes/yes/yesNot yetDNA collection piloted; expansion with fundingNoNo, in developmentYes
Italian MS Register registroitalianosm@aism.it Longitudinal prospective cohortUpon request36,2002014–presentItalyYes/yes/yesNo/no/noNoYes/annualYesNo
Kaiser Permanente, SoCal Annette.M.Langer-Gould@kp.org Multi-racial/ethnic population representative of geographic region. Incident cases with complete health record; matched controls for >600 participants in the MS Sunshine StudyNo~1500 total; MS Sunshine Study >600 incident cases with detailed environmental exposures, genetic information, and stored sera/plasmaJanuary 2008–present entire incident cohort; subgroup 2011–2015Southern CaliforniaYes/yes/yes (total cohort and MS Sunshine study; also includes NMO)Yes/yes/no from MS Sunshine StudyYes/yes for MS Sunshine StudyYes, standard of care, all casesYesSubgroup
MS Clinic Database and Registry, Health Sciences Centre, Winnipeg rmarrie@exchange.hsc.mb.ca Clinical registry for recruitment for research studies; core data can be used for record review/linkage studiesNo2061April 2011–presentManitoba, Canada/northwestern OntarioYes/yes/yesNo/no/noNo/noMRI reports could be reviewed/clinical judgmentYesYes
MS genetics-expression, proteomics, imaging clinical (EPIC) http://msepicstudy.com/ hausers@neurology.ucsf.edu Longitudinal deep phenotyping with 85% at 10+ yearsUpon request530June 2004–presentSan Francisco, CAYes/yes/yesYes/yes/yesYes/yesYes, annualYesYes
MSBASE https://www.msbase.org info@msbase.org Longitudinal, multinational. Min. dataset = demographics, EDSS, relapses, DMT exposure, diagnostic test infoAccess within collaborative group42,248 (as of 11 October 2016)January 2004–presentGlobal—38 participating countriesYes/yes/yes NMOYes/yes/no in subsetsYes/no in subsetsNo images, only descriptorsYesSubset
NARCRMS http://narcrms.org/ krammohan@med.miami.edu, dj9d@virginia.eduLongitudinal registry, clinician collected, soon to include MRI. Eventual interface with NARCOMSYesCurrently 15, but goal of 1000 in 5 yearsJune 2016 to presentNorth AmericaYes/yes/yesEventually, RFP in developmentNo/noYes, annualYesYes
North American Research Committee on MS (NARCOMS) http://narcoms.org/ MSregistry@narcoms.org Longitudinal self-reportingNo11,0001996–presentGlobal, mainly the United StatesYes/yes/yesNo/no/noNo/noNoNoYes
Norwegian MS Registry & Biobank https://helse-bergen.no/avdelinger/nevroklinikken/nevrologisk-avdeling/nasjonal-kompetansetjeneste-for-multippel-sklerose/norsk-ms-register-og-biobank kjell-morten.myhr@helse-bergen.no Longitudinal follow-up phenotypingBy applicationca 80002001NorwayNo/yes/yesNo/yes/noYes/noYes, prospectively for 2016YesYes from 2017
NY State MS Consortium http://www.nysmsc.org/nyregistry.asp BWeinstock-Guttman@KaleidaHealth.org Longitudinal data collection, historical cohort with no DMT use, patient-reported and clinical outcomesYes for affiliated centers9650 enrolled/18,000 follow-ups1996–presentNew York, some Northwestern PennsylvaniaYes/yes/yesSubsetSubsetSubsetYesYes
OFSEP (Observatoire Français de la Sclérose en Plaques) www.ofsep.org sandra.vukusic@chu-lyon.fr Longitudinal clinical and MRI follow-up of French MS patientsYes58,0002011 (but many local databases using the EDMUS software started before)FranceYes/yes/yes (+RIS and NMOSD)Yes/yes/yes only in subgroupsYes/yes only in subgroupsYes, standardized acquisition, frequency according to local prescriptionYesNo, in progress
OPTIMISE http://www.optimise-ms.org/ p.matthews@imperial.ac.uk Clinical data entry portal/database allows DICOM image upload with data management option in transMART platformYes1000 and growingRetrospective–presentUKNot formally audited, all typesNo/no/no but intended with future accrualLimited transcriptomicsPartialYesWikihealth tool being added 2017
PROMOPRO-MS giampaolo.brichetto@aism.it Longitudinal, population-based, collected every 4 months, demographic, disease course, onset, treatments, physician-reported and patient-reported outcomesFor research, by application2000 and growingLongitudinal every 4 months from 2014ItalyNo/yes/yesNo/no/noNo/noNo, but intended with future integration with Italian NeuroImaging Network InitiativeYesYes
SMSC (Swiss MS Cohort) https://smsc.rodano.ch/ jens.kuhle@usb.ch claudio.gobbi@eoc.ch Prospective, observational, standardized demographic, clinical, MRI data and biospecimens, focus on newer disease-modifying drugsNo, open for nested projects with a member of Scientific Board1040/1102June 2012–present7 Swiss MS CentersYes/yes/yesYes/yes/yes selectionYes/noYes, annualYesNo
Sonya Slifka Longitudinal Multiple Sclerosis Study sminden@partners.org Longitudinal, population-based, collected every 6–12 months, demographic, disease, health care use, costs, QOL; some on care providers, biospecimens for 150 newly dxYes with permission46342000–2010United StatesNo/yes/yesYes/yes/no for subsetYes/yes for subsetNoNoYes
SUMMIT www.summit.org summit@partners.org Longitudinal deep phenotyping; enriching with newly dx, rx naive cohortYes10282000–presentBoston/greater New England and greater San Francisco areaYes/yes/yesYes/yes/yesYes/yesYes, annualYesYes
Swedish MS Registry http://www.neuroreg.se/en.html/multiple-sclerosis-research Jan.hillert@ki.se Longitudinal data on >80% of the prevalent patient population, mean 6 years follow-upFor research, by application15,974 at 61 centers1995–present +1000 patients annuallySwedenSome/yes/yesIn separate overlapping projects, 10,000 patientsIn separate overlapping projects, 10,000 patientsHigh level info on #lesions and #Gd+ and #new lesions or MS-indicative yes/no on 32,000 scores, that is, 2–3 per contributing patientYesYes
US Network of Pediatric MS Centers: Pediatric MS and other Demyelinating Diseases Database http://usnpmsc.org/ charlie.casper@hsc.utah.edu Pediatric, longitudinalNo1700May 2011–presentUSA (participating centers)Yes/yes/noNo/no/noNo/noYes, as clinically orderedYesNo
Veterans Health Administration MS National Data Repository http://www.va.gov/MS/index.asp Steven.Leipertz@va.gov United States VHA Medical RecordsVHA Personnel and Affiliated50,000October 1998–presentUnited StatesNo/yes/yesNo/no/noNoNoNoNo

MS: multiple sclerosis; CIS: clinically isolated syndrome; MRI: magnetic resonance imaging; CSF: cerebrospinal fluid; NMO: neuromyelitis optica; EDSS: Expanded Disability Status Scale; DMT: disease-modifying drug therapy; QOL: quality of life; RFP: Request for Proposals; NMOSD: Neuromyelitis Optica Spectrum Disorder; RIS: Radiologically Isolated Syndrome; VHA: Veterans Health Administration.

This list of MS cohort studies and registries is not exhaustive, and additional cohorts are under development.

Sample of major MS cohorts and registries underway. MS: multiple sclerosis; CIS: clinically isolated syndrome; MRI: magnetic resonance imaging; CSF: cerebrospinal fluid; NMO: neuromyelitis optica; EDSS: Expanded Disability Status Scale; DMT: disease-modifying drug therapy; QOL: quality of life; RFP: Request for Proposals; NMOSD: Neuromyelitis Optica Spectrum Disorder; RIS: Radiologically Isolated Syndrome; VHA: Veterans Health Administration. This list of MS cohort studies and registries is not exhaustive, and additional cohorts are under development. The Swedish MS Registry (EIMS) is an example of a clinical data set that has contributed to our understanding of the impact of disease-modifying therapy. The effort has enrolled approximately 80% of patients with MS in Sweden. Due to the use of a national personal ID in Sweden, data can be linked with other Swedish databases to investigate associations between MS and factors such as employment-related factors, co-morbidities, and other epidemiological factors. Similarly, the Danish Multiple Sclerosis Registry (DMSR) has enrolled nearly all patients with MS in Denmark and has advanced the understanding of MS epidemiology. MSBase is a physician-driven observational registry that is based in Australia and has recruited more than 42,000 participants from 38 countries. Although this collection does not include biospecimens or imaging data, its large size and broad catchment area position it to address critical questions concerning the impact of disease-modifying treatment on the natural history of MS. Other cohorts have been prospectively designed primarily for research purposes. The Expression, Proteomics, Imaging and Clinical (EPIC) study, which is based at the University of California, San Francisco, is an observational cohort of over 500 people with MS who have been carefully studied since 2004. The Comprehensive Longitudinal Investigation of Multiple Sclerosis (CLIMB) is a large-scale, long-term study of about 1500 MS patients based at Harvard’s Brigham and Women’s Hospital. Recently, these two groups have combined efforts to form the Serially Unified Multi-center Multiple Sclerosis Investigation (SUMMIT) with the purpose of building an open platform to elucidate risk factors that affect disease progression. The New York State MS Consortium is another research effort that collects numerous types of data including patient-reported outcomes, quality of life measures, co-morbidities, insurance information, and disease-modifying therapy use, among others. The North American Research Committee on MS (NARCOMS) and iConquerMS are voluntary patient-driven registries that collect data from MS patients about treatments, quality of life, and other factors related to living with MS.

Strengths and limitations of existing cohorts

Existing cohorts have amassed large collections of data, and several have also established accompanying biospecimen repositories. Several cohorts are working toward standardization of data and the methods for biospecimen, imaging, and data collection.[7] Others are working toward creating standardized imaging protocols. Some registries are able to link to other databases (i.e. payor databases), which should enhance their ability to advance knowledge of the natural history of MS and address critical questions related to response to therapy and disability progression. Many (but not all) efforts have been designed without a specific hypothesis and participant selection criteria. This “convenience cohort” approach allows the flexibility to ask different questions, but is limited by the unknown generalizability of the observations and conclusions. In addition, harmonizing data from different cohorts is often difficult due to the use of different data elements as well as incompatible platforms and standards (often developed “in house”). Changes in technology can also make comparisons challenging. Many cohorts are not readily accessible to other qualified investigators. Inconsistencies can result from different and evolving criteria used for diagnosing and defining MS subtypes, time to an event such as progressive disease, follow-up times, terminology, data collection methods, and physician perceptions and opinions. Unlike clinical trials, randomization is not possible, which introduces a risk for biases and confounders that can make interpretation of the results challenging. Cohorts that rely on patient-reported outcomes may also contain recall and referral bias.

Recommendations

In February 2016, the US National Institute of Neurological Disorders and Stroke (NINDS) and the National Multiple Sclerosis Society convened a workshop that included over 50 thought leaders from around the world to evaluate how current and future MS cohorts might be better leveraged to answer urgent questions about progressive MS. The attendees included experts with academic, industry, and funders perspectives that developed the following recommendations.

Recommendation 1: create a federated network of cohorts

The landscape analysis revealed a significant number of largely uncoordinated parallel efforts. The participants recommended that strategic oversight and direction would greatly streamline and leverage existing and future efforts. This could be accomplished by creating a federated network of cohorts and engaging in regular activities that could be coordinated by the NINDS, industry, and advocacy organizations like the National MS Society. The first steps by this network should be to prioritize research questions and develop a data sharing model.

Recommendation 2: standardize data collection and management

Standardizing the collection and management of large data sets would greatly enhance the ability to share data and perform meta-analyses with aggregated data. The NINDS has developed common data elements for MS (https://www.commondataelements.ninds.nih.gov/MS.aspx#tab=Data_Standards) and recommends that MS cohorts incorporate this standard. The data standards established by the Clinical Data Inter-change Standards Consortium (CDISC) for MS (http://www.cdisc.org/standards/therapeutic-areas/multiple-sclerosis) would also increase the likelihood that data sets could be confederated and used to answer clinically relevant questions in progressive MS. Additional standardization will likely be needed.

Recommendation 3: identify and prioritize research questions

Many cohorts were not designed to answer specific research questions; nonetheless, they should be mined to determine whether they can reveal significant insights into the natural history or pathogenesis of progressive MS or generate new hypotheses. Prioritizing research questions and focusing resources on high-priority research would likely accelerate progress and better leverage limited resources. Meeting participants identified several high-priority research topics including: (1) developing ways to measure progression, (2) developing proof-of-concept outcome measures, and (3) identifying prognostic factors. The participants recommended that meetings with a broader representation of stakeholders including patients be held to establish a consensus on the most critical research questions.

Recommendation 4: encourage collection of physician- and patient-reported outcomes

Patient- and physician-reported data should be integrated to provide a more complete picture of living with MS. Patient-reported outcomes are likely to better capture patient experiences with MS including psychosocial experiences, bladder/bowel/vision problems, employment, cognitive disability, quality of life, fatigue, and pain. Information from private practice is currently not being captured, but could also provide valuable additional data.

Recommendation 5: encourage technological innovation

Researchers should continue to utilize new technologies such as electronic health records and data collection methods. The utility of these approaches will be greatly enhanced by the creation of a minimum set of clinical and imaging standards to be used in all MS interactions. Likewise, investigators should incorporate guidelines for biospecimen collection,[7] and centralization of these repositories should be encouraged.

Recommendation 6: develop a universal informed consent process

Patient privacy and associated laws, including Health Insurance Portability and Accountability Act (HIPAA) in the United States, vary across countries, and consent forms should be developed to allow sharing of data with other countries. Restrictive consent forms can hamper research, but overly broad consent may make obtaining approval from local institutional review boards difficult.

Recommendation 7: provide sustainable funding

Cohorts are largely funded by grants with terms limited to 2–5 years. The most important unanswered questions in progressive MS will require following cohorts of patients for 10 years or longer, and thus, more sustained funding will be required. Better coordination and less duplication of data collection efforts should optimize the use of limited resources and allow for more sustained investments.

Conclusion

Despite significant investments in MS cohort studies, major gaps in our understanding of the natural history of MS progression remain. Better coordination, increased leveraging of evolving technology, a focus on the most important unanswered questions, improved access, and more sustained funding are key requirements for closing the gaps in our understanding of progressive MS. This knowledge will likely accelerate the development of effective therapies for progressive MS.
  7 in total

1.  Caffeine and alcohol intakes have no association with risk of multiple sclerosis.

Authors:  J Massa; E J O'Reilly; K L Munger; A Ascherio
Journal:  Mult Scler       Date:  2012-05-28       Impact factor: 6.312

2.  Influence of treatments in multiple sclerosis disability: a cohort study.

Authors:  Eleonora Cocco; Claudia Sardu; Gabriella Spinicci; Luigina Musu; Rita Massa; Jessica Frau; Lorena Lorefice; Giuseppe Fenu; Giancarlo Coghe; Serenella Massole; Maria Antonietta Maioli; Rachele Piras; Marta Melis; Gianluca Porcu; Elena Mamusa; Nicola Carboni; Paolo Contu; Maria Giovanna Marrosu
Journal:  Mult Scler       Date:  2014-09-25       Impact factor: 6.312

Review 3.  Registry studies of long-term multiple sclerosis outcomes: description of key registries.

Authors:  Barrie J Hurwitz
Journal:  Neurology       Date:  2011-01-04       Impact factor: 9.910

4.  Defining secondary progressive multiple sclerosis.

Authors:  Johannes Lorscheider; Katherine Buzzard; Vilija Jokubaitis; Tim Spelman; Eva Havrdova; Dana Horakova; Maria Trojano; Guillermo Izquierdo; Marc Girard; Pierre Duquette; Alexandre Prat; Alessandra Lugaresi; François Grand'Maison; Pierre Grammond; Raymond Hupperts; Raed Alroughani; Patrizia Sola; Cavit Boz; Eugenio Pucci; Jeanette Lechner-Scott; Roberto Bergamaschi; Celia Oreja-Guevara; Gerardo Iuliano; Vincent Van Pesch; Franco Granella; Cristina Ramo-Tello; Daniele Spitaleri; Thor Petersen; Mark Slee; Freek Verheul; Radek Ampapa; Maria Pia Amato; Pamela McCombe; Steve Vucic; José Luis Sánchez Menoyo; Edgardo Cristiano; Michael H Barnett; Suzanne Hodgkinson; Javier Olascoaga; Maria Laura Saladino; Orla Gray; Cameron Shaw; Fraser Moore; Helmut Butzkueven; Tomas Kalincik
Journal:  Brain       Date:  2016-07-07       Impact factor: 13.501

5.  A consensus protocol for the standardization of cerebrospinal fluid collection and biobanking.

Authors:  C E Teunissen; A Petzold; J L Bennett; F S Berven; L Brundin; M Comabella; D Franciotta; J L Frederiksen; J O Fleming; R Furlan; R Q Hintzen; S G Hughes; M H Johnson; E Krasulova; J Kuhle; M C Magnone; C Rajda; K Rejdak; H K Schmidt; V van Pesch; E Waubant; C Wolf; G Giovannoni; B Hemmer; H Tumani; F Deisenhammer
Journal:  Neurology       Date:  2009-12-01       Impact factor: 9.910

6.  Risk of multiple sclerosis after a first demyelinating syndrome in an Australian Paediatric cohort: clinical, radiological features and application of the McDonald 2010 MRI criteria.

Authors:  Esther M Tantsis; Kristina Prelog; Fabienne Brilot; Russell C Dale
Journal:  Mult Scler       Date:  2013-04-11       Impact factor: 6.312

7.  Head injury is not a risk factor for multiple sclerosis: a prospective cohort study.

Authors:  C C H Pfleger; N Koch-Henriksen; E Stenager; E M Flachs; C Johansen
Journal:  Mult Scler       Date:  2008-11-21       Impact factor: 6.312

  7 in total
  7 in total

1.  The North American Registry for Care and Research in Multiple Sclerosis (NARCRMS).

Authors:  Kottil W Rammohan; June Halper; Steven Lang; Sara McCurdy Murphy; Lisa Patton; Courtney Goodman; David K B Li
Journal:  Int J MS Care       Date:  2021-12-29

2.  NARCOMS and Other Registries in Multiple Sclerosis: Issues and Insights.

Authors:  Ruth Ann Marrie; Gary R Cutter; Robert J Fox; Timothy Vollmer; Tuula Tyry; Amber Salter
Journal:  Int J MS Care       Date:  2021-12-29

3.  The Multiple Sclerosis Data Alliance Catalogue: Enabling Web-Based Discovery of Metadata from Real-World Multiple Sclerosis Data Sources.

Authors:  Lotte Geys; Tina Parciak; Ashkan Pirmani; Robert McBurney; Hollie Schmidt; Tanja Malbaša; Tjalf Ziemssen; Arnfin Bergmann; Juan I Rojas; Edgardo Cristiano; Juan Antonio García-Merino; Óscar Fernández; Jens Kuhle; Claudio Gobbi; Amber Delmas; Steve Simpson-Yap; Nupur Nag; Bassem Yamout; Nina Steinemann; Pierrette Seeldrayers; Bénédicte Dubois; Ingrid van der Mei; Alexander Stahmann; Jelena Drulovic; Tatjana Pekmezovic; Waldemar Brola; Mar Tintore; Nynke Kalkers; Rumen Ivanov; Magd Zakaria; Maged Abdel Naseer; Wim Van Hecke; Nikolaos Grigoriadis; Marina Boziki; Adriana Carra; Mikolaj A Pawlak; Ruth Dobson; Kerstin Hellwig; Arlene Gallagher; Letizia Leocani; Gloria Dalla Costa; Nise Alessandra de Carvalho Sousa; Bart Van Wijmeersch; Liesbet M Peeters
Journal:  Int J MS Care       Date:  2021-12-29

4.  Italian validation of the Arm Function in Multiple Sclerosis Questionnaire (AMSQ).

Authors:  Andrea Tacchino; Michela Ponzio; Ludovico Pedullà; Jessica Podda; Margherita Monti Bragadin; Elisabetta Pedrazzoli; Giovanna Konrad; Mario Alberto Battaglia; Lidwine Mokkink; Giampaolo Brichetto
Journal:  Neurol Sci       Date:  2020-05-12       Impact factor: 3.307

5.  The Multiple Sclerosis Surveillance Registry: A Novel Interactive Database Within the Veterans Health Administration.

Authors:  Mitchell T Wallin; Ruth Whitham; Heidi Maloni; Shan Jin; Jonathan Duckart; Jodie Haselkorn; William J Culpepper
Journal:  Fed Pract       Date:  2020-04

6.  Recommendations for the use of propensity score methods in multiple sclerosis research.

Authors:  Gabrielle Simoneau; Fabio Pellegrini; Thomas Pa Debray; Julie Rouette; Johanna Muñoz; Robert W Platt; John Petkau; Justin Bohn; Changyu Shen; Carl de Moor; Mohammad Ehsanul Karim
Journal:  Mult Scler       Date:  2022-04-06       Impact factor: 5.855

Review 7.  Leveraging real-world data to investigate multiple sclerosis disease behavior, prognosis, and treatment.

Authors:  Jeffrey A Cohen; Maria Trojano; Ellen M Mowry; Bernard Mj Uitdehaag; Stephen C Reingold; Ruth Ann Marrie
Journal:  Mult Scler       Date:  2019-11-28       Impact factor: 6.312

  7 in total

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