Literature DB >> 24293456

Risk evaluation and monitoring in multiple sclerosis therapeutics.

Michel C Clanet1, Jerry S Wolinsky2, Raymond J Ashton3, Hans-Peter Hartung4, Stephen C Reingold5.   

Abstract

BACKGROUND: Risk for multiple sclerosis (MS) disease-modifying therapies (DMT) must be assessed on an ongoing basis. Early concerns regarding the first-approved DMTs for MS have been mitigated, but recently licensed therapies have been linked to possibly greater risks.
OBJECTIVES: The objective of this review is to discuss risk assessment in MS therapeutics based on an international workshop and comprehensive literature search and recommend strategies for risk assessment/monitoring.
RESULTS: Assessment and perception of therapeutic risks vary between patients, doctors and regulators. Acceptability of risk depends on the magnitude of risk and the demonstrated clinical benefits of any agent. Safety signals must be distinguishable from chance occurrences in a clinical trial and in long-term use of medications. Post-marketing research is crucial for assessing longer-term safety in large patient cohorts. Reporting of adverse events is becoming more proactive, allowing more rapid identification of risks. Communication about therapeutic risks and their relationship to clinical benefit must involve patients in shared decision making.
CONCLUSIONS: It is difficult to produce a general risk-assessment algorithm for all MS therapies. Specific algorithms are required for each DMT in every treated-patient population. New and evolving risks must be evaluated and communicated rapidly to allow patients and physicians to be well informed and able to share treatment decisions.
© The Author(s) 2013.

Entities:  

Keywords:  Risk; benefit; disease-modifying therapy; multiple sclerosis; safety; surveillance

Mesh:

Substances:

Year:  2013        PMID: 24293456      PMCID: PMC4232326          DOI: 10.1177/1352458513513207

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


Introduction

Since the first well-designed clinical trials of disease-modifying therapies (DMTs) for multiple sclerosis (MS), short- and long-term risk assessment and the evaluation of risk/benefit of therapy has been a concern. Interferon-betas and glatiramer acetate had noted risks that raised initial concerns about their use and compromised adherence,[1] but those concerns have been largely mitigated over two decades of use. Newer and ostensibly more-effective agents have been associated with other, probably greater, risk concerns.[2] The evaluation of therapeutic risk for MS is an ever-changing landscape as new agents are introduced and more systematic risk information evolves. An International Workshop on Risk Evaluation and Monitoring in Multiple Sclerosis Therapeutics (Paris, 19–21 September 2012) explored therapeutic risks in general and specifically in MS. Highlights of the discussions and recommendations are reported.

Risk and risk assessment

Assessment of therapeutic risk is complex and includes objective elements guided by data and subjective elements reflecting risk perceptions. A major issue is who is best placed to judge on risks. Risk perception may differ among patients and their families, health care providers, society and policy makers. The evaluation and acceptance of risk must consider demonstrated clinical benefits and costs at a population and individual level. Currently, an integrated perspective and consistent approach to articulating and monitoring risk is lacking. Therapeutic risk assessment involves the interplay of evidence, clinical practice, epidemiology, individual and societal acceptance and politics and can be accurately determined only with access to all data on the risks/potential benefit of intervention. Risks associated with scientific uncertainty of a new therapeutic agent must be recognised, and to enable shared decision making, the inherent value judgements required to assign acceptable levels of risk need to be assessed by an effective bidirectional communication between patients and health care professionals. The concept of risk varies depending on its context. In common usage, a ‘risk’ is an adverse event (AE) related to any identified cause, such as the risk of lung cancer in smokers. In an administrative context with regulatory authorities responsible for licensing therapeutic agents, risk assessment is based on evidence that the potential benefits of a new therapy will outweigh the likely risks; in some cases the balance may necessitate the imposition of recommended/required risk-management plans. Sociologically, risk monitoring requires organising the social responsibility of decision making and imposing accountability. In decision theory, risk involves purely mathematical probabilities to calculate, for example, a rate of ‘expected utility’.[3]

Known risks for MS therapies

Based on clinical trials outcomes and postmarking data, AEs are known for currently licensed MS DMTs. As more DMTs have been licensed, and with longer-term usage of older therapies, risk perception of both older and newer therapies has changed. Adverse effects associated with the newer therapies tend to be more severe than those associated with earlier approved agents, such as the risk of progressive multifocal leucoencephalopathy (PML) with natalizumab, rituximab and fumarate, and bradycardia and herpes varicella-zoster (HVZ) infections with fingolimod (Table 1).
Table 1.

Risks of licensed, frequently used and anticipated multiple sclerosis therapies.

TherapyKnown riskReference
Interferon beta-1a, 1bInjection-site reactions, ‘flu-like’ syndrome, depression, lower birth weight, shorter birth length, preterm birth, liver enzyme elevations, pregnancy category CLu et al.[4]
Glatiramer acetateInjection-site reactions, chest tightness, tachycardia, flushing, dyspnoea, allergic reactions, pregnancy category BBoster et al.[5]
NatalizumabAllergic reactions, progressive multifocal leucoencephalopathy, liver enzyme elevations, tuberculosis, melanoma, pregnancy category CLanger-Gould et al.[6]
FingolimodInfections, liver enzyme elevations, hypertension, bradycardia, macular oedema, neoplasia, foetal risk, pregnancy category CKappos et al.[7]
TeriflunomideDiarrhoea, nausea, alopecia, elevated alanine aminotransferase, influenza, nausea, paraesthesia, high blood pressure, bone marrow disorder hepatotoxicity, teratogenicity, pregnancy category XO’Conner et al.[8]
BG-12Flushing, gastrointestinal events, decreased lymphocyte count, elevated liver aminotransferase, pregnancy category NAGold et al.[9]
MitoxantroneAcute leukaemia, cardiac insufficiency, amenorrhea, infections, pregnancy category DStroet et al.[10]
Cyclophosphamide[a]Nausea/vomiting, alopecia, haemorrhagic cystitis, myelosuppression, infections, infertility, pulmonary fibrosis, secondary cancer, lymphoma, bladder cancer, amenorrhea, pregnancy category DJeffery[11]
Azathioprine[a]Secondary cancerConfavreux et al.[12]
AlemtuzumabInfusion reactions, infections, autoimmune (thyroid, ITP, Goodpasture), pregnancy category CColes et al.[13]

ITP: idiopathic thrombocytopenic purpura. aApproved drugs for non-multiple sclerosis conditions, with relatively frequent off-label use for multiple sclerosis.

Risks of licensed, frequently used and anticipated multiple sclerosis therapies. ITP: idiopathic thrombocytopenic purpura. aApproved drugs for non-multiple sclerosis conditions, with relatively frequent off-label use for multiple sclerosis. When treatments are registered there is a scientific uncertainty about their risks. It can be difficult to detect a risk signal associated with therapy because of the influence of confounding issues such as uncertainty about general or non-treated MS population prevalence of the signals, use of concomitant therapies and comorbidities unrelated to therapy, and delayed emergence of AEs relative to therapy initiation. These may not have been captured in controlled, relatively short trials with insufficient numbers of patients. Once specific AEs have been identified with a therapy, risk-management programmes can be developed, (e.g. PML with natalizumab (retrospectively after emergence of the events in open-label use) and cardiac side effects with fingolimod (both prospectively and retrospectively).

Assessing risk in developing MS therapies

Assessment of risk for any therapeutic product begins with preclinical studies, initial clinical assessments (phase I), proof-of-concept (phase II) and larger-scale pivotal trials (phase III). A Data and Safety Monitoring Board (DSMB) serves as a sponsor- and investigator-independent oversight group for safety, study integrity and often efficacy and helps mitigate harm by recommending trial changes recruitment, screening or treatment parameters (e.g. dosing levels), or even trial termination if a safety signal emerges.[14] When rare, noteworthy events are detected during a clinical trial or in phase IV post-marketing studies, a clearly defined statistical boundary that helps separate the emerging signal from pure chance must be defined which, when crossed, requires the DSMB to consider termination for risk (or early signs of efficacy). After an agent is approved, post-marketing research programmes are crucial for monitoring longer-term safety in larger numbers of treated subjects.[15] Phase IV post-marketing studies should be more safety oriented with requirements imposed by local regulatory agencies. Increasingly, reporting of safety is changing from passive (reactive) surveillance to proactive surveillance involving fuller reporting by patients and the public. Reactive surveillance has many limitations: An accurate analysis of adverse drug reaction rates cannot be performed because of the often substantial under-reporting of AEs, and of the limited number of exposed patients; causal links between the treatment and AEs cannot always be shown; and a correct risk/benefit ratio cannot be evaluated since safety events are not linked to efficacy results. Disease registries represent a powerful tool for building a long-term safety record useful for assessing risk/benefit ratios in a real-world setting, but require a greater workload for doctors, significant financial support, and suffer from attrition of patient and doctor involvement over time. Strategies such as matching controls, stratification, regression and propensity score analysis can reduce bias and confounding factors.[16] Pharmacovigilance programmes must identify safety issues immediately and rapidly alert healthcare professionals so that they and patients can jointly consider whether to stop/switch therapy.

Strategies for risk avoidance and mitigation once risks are known

Therapeutic benefit can be seen in the context of the potential benefit from treatment that would be lost with the failure to treat. The determination of treatment risk dynamically evolves over the therapy’s lifetime. Clinical trials may capture many of the important risks of a drug, but are short term and with generally low numbers of treated patients in a highly controlled environment. True risks may become evident only in less ‘selected’ patients exposed to a drug for a much longer period. Post-marketing safety surveillance can identify unforeseen risks but may be the hardest data to collect unless long-term proactive vigilance is initiated. Since acceptability of treatment risk usually depends on the magnitude of a treatment’s clinical benefits, the greatest risk acceptance is generally associated with the highest treatment impact. In most relevant cases in MS, risk avoidance or mitigation strategies have been developed in response to specific known risks for individual agents, usually developed with intense research after an agent has been approved for use. For example, anti-John Cunningham (anti-JC) virus antibody status, duration of treatment exposure and pre-treatment immunosuppression have been identified as risk factors for developing PML with natalizumab in relapsing MS that guide decisions to avoid or terminate the therapy in patients with these risk factors.[17] Quantification of neutralising antibodies to interferon-betas can inform treatment responsiveness and the potential need to switch therapy, thus avoiding unnecessary exposure in those who may be predicted to have low treatment benefit.[18] Finally, now alemtuzumab has been approved in the European Union (EU) as a therapy for MS, the search for a reliable pre-treatment serum marker heralding the development of humoral autoimmunity may help stratify and reduce risk of emergent complications such as immune-mediated thrombocytopaenia, thyroiditis, and glomerulonephritis for some patients.[19]

Assessment of risk by regulators and technology assessors

Frameworks for risk-mitigation are developed by regulators for therapies to assess the potential risks and provide recommendations for additional post-marketing collection of safety data (risk-management and pharmacovigilance plans). The European Medicines Agency (EMA) 2012 guidelines recommended that the goal of treatment determines the type of post-marketing study design/duration, populations, and primary endpoints and indicated which potential AEs characteristic of the drug class should be assessed.[20] The MS clinical community should provide scientific and clinical expertise to regulators concerning approval of agents, but with a clearly defined policy on conflicts of interest. The United Kingdom (UK) National Institute for Health and Clinical Excellence (NICE) aims to reduce variation in the availability and quality of National Health Service (NHS)-provided treatments and care through evidence-based guidance on which represent their assessment of the best-quality care and value for money, using quality-adjusted life years (QALY) (where each QALY is a year of life in full health). This is a social approach to estimate cost effectiveness and NICE decisions are primarily driven by cost and demonstrated therapeutic benefit rather than risk, but do not assess the financial consequences of AEs, or social costs. In 2012 the United States (US) Institute of Medicine (IOM) reviewed the Food and Drug Administration (FDA)’s system of assessing approved drugs and made recommendations including the adoption of a consistent decision-making framework for regulatory actions and the monitoring and evaluation of benefits/risks of a drug throughout its life cycle using a benefit and risk-assessment management plan (BRAMP).[21]

Patients’ perception of risks

The role of the patient in therapeutic decision making is central. Up-to-date, balanced, and evidence-based discussions are essential in the modern patient/doctor partnership to help inform decision making.[22] Understanding that patients differ in their desire to be involved in the discussion and their understanding of sophisticated and complex research, and differing methods of weighing benefits and risk is a rapidly expanding research focus.[23,24] A survey of natalizumab-treated MS patients and their doctors showed that patients understand uncertainties communicated openly and many consider their disease sufficiently severe to be more willing than their doctors to take higher risks.[23] A study using a North American MS patient self-report registry (North American Research Committee on Multiple Sclerosis (NARCOMS)) found an extremely wide spectrum of tolerance to risk regarding MS therapies.[25] Factors, including sex, disability, and recent MS disease activity predicted tolerance to risk. The psychodynamics of aversion to risk, vs seeking gain, should be considered.[26]

Communicating risk and risk assessment for health care providers, patients and other parties

Communicating risk and risk assessment is crucial to enable accurate, shared treatment decisions with patients. Individual patients do not experience ‘likelihood,’ or population-level rates of events. They experience single outcomes (something happens or does not) and people making decisions may be frightened or too ill to process complex information and make appropriate decisions.[27] Using numbers and statistics to highlight risk and benefit can be helpful, but the ability for a patient to understand complex numerical representations of risk can be limited.[27] Thus, numbers should be communicated in a standardised, consistent way (visual aids are useful) and related to a relative risk with which people are familiar. Doctors tend to translate numbers into words when discussing the risk of treatment AEs with their patients, but there is no universal agreement as to the correct words to use. Risk reduction should be expressed in absolute numbers, since the concept of relative risk reduction often overstates treatment effects.[27] Often the optimum way to present risk is to use non-numeric possibility (relative, comparative or categorical) and quantifiable, graphical probability (absolute, comparative or incremental).[27] It is important to consider that each patient will have different priorities and risk tolerance and may change his or her perception and tolerance of risk over time. Risk communication needs to be an informed and understandable dialogue between health care professionals and patients and depends on establishing mutual respect and trust involving simple, relevant information in a two-way exchange. The doctor must be aware of the conflicting information sources accessible by the patient (for example via the Internet) and be sensitive to the psychological and social factors that influence how patients respond to risk information. The physician and allied health professional staff should clearly outline all treatment options (including no treatment), and the consequences, ensuring that the patient understands. The medical team should accept the patient’s decision even if they believe it may not be the best decision, but the doctor’s experience, expertise and personal ethics should not be compromised in the process.

Concluding remarks

Currently known risks and the likelihood that risk will increase with longer and broader use of MS therapies makes it essential to give more attention to MS therapeutic risk assessment (Table 2). Risk assessment during clinical development is generally adequate, largely because of DSMB oversight and regulatory monitoring, even if insufficient to assess long-term risks in open market usage. Post-registration risk assessment is neither universally standardised nor adequate. Improvements will require consistent, enforceable policies, preferably harmonised on a global rather than a national basis. The feasibility of developing a general risk assessment algorithm for all MS therapeutics is questionable. There is a need to produce specific risk assessment algorithms for each therapy and each treated-patient population, based on the risk/benefit profile of the therapies in question and the specific patient populations in which they are used.
Table 2.

Recommendations for managing treatment safety for multiple sclerosis (MS).

• The decision for treatment (when to start, what treatment, when to stop) should be a shared decision between the doctor and the person with MS. It should be based on the individual assessment of the disease risk for the patient, likelihood of treatment efficacy (benefit) and short- and long-term adverse effects of the treatment (risk).
• Communication of known or possible risks and potential benefit for the person with MS should be objective, understandable for the patient and comprehensively documented. The health care professional must ensure that this information is sufficiently understood by the person with MS before the initiation of and during the course of treatment.
• A general risk assessment algorithm for MS treatments is difficult to develop and implement because of individual variability in disease course and anticipated benefit.
• For current disease-modifying treatments which are immunomodulatory or have immunosuppressive effects, a general guideline for the management of risks of immunosuppression is available.[28]
• The specificity of each safety profile (idiosyncratic adverse effects) should take into account any risk minimisation plan proposed by local regulatory agencies.
• A reliable safety profile of a treatment can be completely known only after pivotal clinical trials of the treatment against control agents and, especially only after several years of its prescription use. Therefore, documents used to inform patients must be periodically reviewed in this light, and patients already on these treatments may need to be counselled regarding new perceptions of risk and benefits.
• Doctors, allied health professionals and patients should be involved in the spontaneous reporting process of adverse events to regulators in the course of prescription use of treatments. Implementation of international long-term follow-up, cohort-databases or registries should be required for all new treatments.
• Risk minimisation over time should be based on transparent information provided by regulators and manufacturers that is provided on a timely basis to health care professionals and patients.
Recommendations for managing treatment safety for multiple sclerosis (MS). Risk monitoring, avoidance and mitigation/correction by industry, regulators and healthcare providers requires clear proactive plans for gathering and analysing data, and for communication between all parties, including patients and their families. Ongoing updates of new and evolving data on recognised risks must occur in a timely fashion, so that physicians, patients and their families are well informed. More active measures of communication between patients and doctors are needed, using and developing all available media and technological supports, including social media and educational activities for health care professionals and patients.

Workshop participants

J-P Boissel, Lyon, France; M Clanet, Toulouse, France; J Cohen, Cleveland, OH, USA; G Comi, Milan, Italy; G Cutter, Birmingham, AL, USA; P De Jager, Boston, MA, USA; A Fischer, London, UK; R Fox, Cleveland, OH, USA; M Freedman, Ottawa, Ontario, Canada; A Goodman, Rochester, NY, USA; H-P Hartung, Dusseldorf, Germany; C Heesen, Hamburg, Germany; B Keller-Stanislawski, Frankfurt, Germany; B Kieseier, Dusseldorf, Germany; C Lubetzki, Paris, France; F Lublin, New York City, NY, USA; RA Marrie, Winnipeg, Manitoba, Canada; H McFarland, Bethesda, MD, USA; E Meslin, Indianapolis, IN, USA; A Miller, New York City, NY, USA; X Montalban, Barcelona, Spain; T Moreau, Dijon, France; J Palace, Oxford, UK; C Polman Amsterdam, The Netherlands; S Reingold, Salisbury, CT, USA; A Rid, Zurich, Switzerland; N Scolding, Bristol, UK; J Seegar, Boston, MA, USA; M Trojano, Bari, Italy; S Vukusic, Lyon, France; E Waubant, San Francisco, CA, USA; M Wiles, London, UK; J Wolinsky, Houston, TX, USA.
  23 in total

1.  Registries, research, and regrets: is the FDA's post-marketing REMS process not adequately protecting patients?

Authors:  Norman J Kachuck
Journal:  Ther Adv Neurol Disord       Date:  2011-11       Impact factor: 6.570

Review 2.  Prospect theory on the brain? Toward a cognitive neuroscience of decision under risk.

Authors:  Christopher Trepel; Craig R Fox; Russell A Poldrack
Journal:  Brain Res Cogn Brain Res       Date:  2005-04

3.  Risks and benefits of multiple sclerosis therapies: need for continual assessment?

Authors:  Bernd C Kieseier; Heinz Wiendl; Hans-Peter Hartung; Verena-Isabell Leussink; Olaf Stüve
Journal:  Curr Opin Neurol       Date:  2011-06       Impact factor: 5.710

4.  Incidence of therapy-related acute leukaemia in mitoxantrone-treated multiple sclerosis patients in Germany.

Authors:  Anke Stroet; Claudia Hemmelmann; Michaela Starck; Uwe Zettl; Jan Dörr; Paul Friedemann; Friedmann Paul; Peter Flachenecker; Vinzenz Fleischer; Frauke Zipp; Holger Nückel; Bernd C Kieseier; Andreas Ziegler; Ralf Gold; Andrew Chan
Journal:  Ther Adv Neurol Disord       Date:  2012-03       Impact factor: 6.570

5.  Recommendations for clinical use of data on neutralising antibodies to interferon-beta therapy in multiple sclerosis.

Authors:  Chris H Polman; Antonio Bertolotto; Florian Deisenhammer; Gavin Giovannoni; Hans-Peter Hartung; Bernhard Hemmer; Joep Killestein; Henry F McFarland; Joel Oger; Andrew R Pachner; John Petkau; Anthony T Reder; Stephen C Reingold; Huub Schellekens; Per Soelberg Sørensen
Journal:  Lancet Neurol       Date:  2010-07       Impact factor: 44.182

6.  Randomized trial of oral teriflunomide for relapsing multiple sclerosis.

Authors:  Paul O'Connor; Jerry S Wolinsky; Christian Confavreux; Giancarlo Comi; Ludwig Kappos; Tomas P Olsson; Hadj Benzerdjeb; Philippe Truffinet; Lin Wang; Aaron Miller; Mark S Freedman
Journal:  N Engl J Med       Date:  2011-10-06       Impact factor: 91.245

7.  Long-term treatment risks in multiple sclerosis: risk knowledge and risk perception in a large cohort of mitoxantrone-treated patients.

Authors:  A Hofmann; J P Stellmann; J Kasper; F Ufer; W G Elias; I Pauly; J Repenthin; T Rosenkranz; T Weber; S Köpke; C Heesen
Journal:  Mult Scler       Date:  2012-10-04       Impact factor: 6.312

8.  A placebo-controlled trial of oral fingolimod in relapsing multiple sclerosis.

Authors:  Ludwig Kappos; Ernst-Wilhelm Radue; Paul O'Connor; Chris Polman; Reinhard Hohlfeld; Peter Calabresi; Krzysztof Selmaj; Catherine Agoropoulou; Malgorzata Leyk; Lixin Zhang-Auberson; Pascale Burtin
Journal:  N Engl J Med       Date:  2010-01-20       Impact factor: 91.245

9.  Risk of cancer from azathioprine therapy in multiple sclerosis: a case-control study.

Authors:  C Confavreux; P Saddier; J Grimaud; T Moreau; P Adeleine; G Aimard
Journal:  Neurology       Date:  1996-06       Impact factor: 9.910

10.  Alemtuzumab vs. interferon beta-1a in early multiple sclerosis.

Authors:  Alasdair J Coles; D Alastair S Compston; Krzysztof W Selmaj; Stephen L Lake; Susan Moran; David H Margolin; Kim Norris; P K Tandon
Journal:  N Engl J Med       Date:  2008-10-23       Impact factor: 91.245

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  12 in total

Review 1.  Advances in and Algorithms for the Treatment of Relapsing-Remitting Multiple Sclerosis.

Authors:  Jens Ingwersen; Orhan Aktas; Hans-Peter Hartung
Journal:  Neurotherapeutics       Date:  2016-01       Impact factor: 7.620

Review 2.  The tension between early diagnosis and misdiagnosis of multiple sclerosis.

Authors:  Andrew J Solomon; John R Corboy
Journal:  Nat Rev Neurol       Date:  2017-08-11       Impact factor: 42.937

Review 3.  Multiple sclerosis in men: management considerations.

Authors:  Riley Bove; Allison McHenry; Kerstin Hellwig; Maria Houtchens; Neda Razaz; Penelope Smyth; Helen Tremlett; A D Sadovnick; D Rintell
Journal:  J Neurol       Date:  2016-01-02       Impact factor: 4.849

4.  Therapy satisfaction and adherence in patients with relapsing-remitting multiple sclerosis: the THEPA-MS survey.

Authors:  Rocco Haase; Jennifer S Kullmann; Tjalf Ziemssen
Journal:  Ther Adv Neurol Disord       Date:  2016-03-15       Impact factor: 6.570

Review 5.  Multiple sclerosis in 2015: Managing the complexity of multiple sclerosis.

Authors:  Olga Ciccarelli; Alan Thompson
Journal:  Nat Rev Neurol       Date:  2016-01-29       Impact factor: 42.937

Review 6.  Alemtuzumab: a new therapy for active relapsing-remitting multiple sclerosis.

Authors:  Hans-Peter Hartung; Orhan Aktas; Alexey N Boyko
Journal:  Mult Scler       Date:  2014-10-24       Impact factor: 6.312

7.  Halo and spillover effect illustrations for selected beneficial medical devices and drugs.

Authors:  Brent D Kerger; Autumn Bernal; Dennis J Paustenbach; Gavin Huntley-Fenner
Journal:  BMC Public Health       Date:  2016-09-15       Impact factor: 3.295

Review 8.  Regulatory T cells in multiple sclerosis and myasthenia gravis.

Authors:  K M Danikowski; S Jayaraman; B S Prabhakar
Journal:  J Neuroinflammation       Date:  2017-06-09       Impact factor: 8.322

9.  The efficacy of teriflunomide in patients who received prior disease-modifying treatments: Subgroup analyses of the teriflunomide phase 3 TEMSO and TOWER studies.

Authors:  Mark S Freedman; Jerry S Wolinsky; Giancarlo Comi; Ludwig Kappos; Tomas P Olsson; Aaron E Miller; Karthinathan Thangavelu; Myriam Benamor; Philippe Truffinet; Paul W O'Connor
Journal:  Mult Scler       Date:  2017-03-17       Impact factor: 6.312

10.  Caught in a no-win situation: discussions about CCSVI between persons with multiple sclerosis and their neurologists - a qualitative study.

Authors:  S Michelle Driedger; Ryan Maier; Ruth Ann Marrie; Melissa Brouwers
Journal:  BMC Neurol       Date:  2017-09-07       Impact factor: 2.474

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