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D009103: Multiple Sclerosis

Developed by Shray Alag, The Harker School
Sections: Correlations, Clinical Trials, and HPO

Correlations computed by analyzing all clinical trials.

Navigate: Clinical Trials and HPO

Correlated Drug Terms (10)

Name (Synonyms) Correlation
drug4023 prophylactic lactoferrin daily Wiki 0.35
drug2324 Online support Group Wiki 0.35
drug3370 Testing of SARS-CoV-2 antibodies Wiki 0.35
Name (Synonyms) Correlation
drug376 BIO101 Wiki 0.35
drug3911 life questionnaires Wiki 0.35
drug1223 Evaluation of the epidemiological characteristics of coronavirus infection (SARS-CoV-2) Wiki 0.35
drug697 Cannabis, Medical Wiki 0.35
drug799 Co-mestring (co-coping) Wiki 0.35
drug4037 questionnaire Wiki 0.12
drug2490 Placebo Wiki 0.02

Correlated MeSH Terms (32)

Name (Synonyms) Correlation
D012598 Scoliosi NIH 0.62
D000070627 Chronic Traumatic Encephalopathy NIH 0.35
D005879 Tourette Syndrome NIH 0.35
Name (Synonyms) Correlation
D009471 Neuromyelitis Optica NIH 0.35
D003424 Crohn Disease NIH 0.35
D000070642 Brain Injuries, Traumatic NIH 0.25
D000690 Amyotrophic Lateral Sclerosis NIH 0.25
D012640 Seizures NIH 0.25
D016472 Motor Neuron Disease NIH 0.25
D008269 Macular Edema NIH 0.25
D006526 Hepatitis C NIH 0.25
D011111 Polymyalgia Rheumatica NIH 0.20
D001714 Bipolar Disorder NIH 0.20
D013700 Giant Cell Arteritis NIH 0.20
D005356 Fibromyalgia NIH 0.18
D000755 Anemia, Sickle Cell NIH 0.18
D001930 Brain Injuries, NIH 0.16
D001927 Brain Diseases NIH 0.16
D002908 Chronic Disease NIH 0.16
D005221 Fatigue NIH 0.16
D010300 Parkinsonian NIH 0.14
D015212 Inflammatory Bowel Diseases NIH 0.13
D059350 Chronic Pain NIH 0.12
D040921 Stress Disorders, Traumatic NIH 0.07
D004194 Disease NIH 0.07
D013313 Stress Disorders, Post-Traumatic NIH 0.07
D014947 Wounds and Injuries NIH 0.06
D013577 Syndrome NIH 0.03
D003141 Communicable Diseases NIH 0.03
D007239 Infection NIH 0.02
D045169 Severe Acute Respiratory Syndrome NIH 0.01
D018352 Coronavirus Infections NIH 0.01

Correlated HPO Terms (10)

Name (Synonyms) Correlation
HP:0100280 Crohn's disease HPO 0.35
HP:0006802 Abnormal anterior horn cell morphology HPO 0.25
HP:0011505 Cystoid macular edema HPO 0.25
Name (Synonyms) Correlation
HP:0100754 Mania HPO 0.25
HP:0007354 Amyotrophic lateral sclerosis HPO 0.25
HP:0001250 Seizure HPO 0.20
HP:0012378 Fatigue HPO 0.16
HP:0001298 Encephalopathy HPO 0.16
HP:0002037 Inflammation of the large intestine HPO 0.13
HP:0012532 Chronic pain HPO 0.12

Clinical Trials

Navigate: Correlations   HPO

There are 8 clinical trials

1 Outcomes Mandate National Integration With Cannabis as Medicine for Prevention and Treatment of COVID-19

This will be a multistate, multicenter clinical study to determine the efficacy and safety of medical cannabis for a wide variety of chronic medical conditions.

  1. Chronic Pain
  2. Chronic Pain Syndrome
  3. Chronic Pain Due to Injury
  4. Chronic Pain Due to Trauma
  5. Fibromyalgia
  6. Seizures
  7. Hepatitis C
  8. Cancer
  9. Crohn Disease
  10. HIV/AIDS
  11. Multiple Sclerosis
  12. Traumatic Brain Injury
  13. Sickle Cell Disease
  14. Post Traumatic Stress Disorder
  15. Tourette Syndrome
  16. Ulcerative Colitis
  17. Glaucoma
  18. Epilepsy
  19. Inflammatory Bowel Diseases
  20. Parkinson Disease
  21. Amyotrophic Lateral Sclerosis
  22. Chronic Traumatic Encephalopathy
  23. Anxiety
  24. Depression
  25. Insomnia
  26. Autism
  27. Opioid-use Disorder
  28. Bipolar Disorder
  29. Covid19
  30. SARS-CoV Infection
  31. COVID-19
  32. Corona Virus Infection
  33. Coronavirus
  1. Drug: Cannabis, Medical
MeSH:Infection Communicable Diseases Hepatitis C Coronavirus Infections Severe Acute Respiratory Syndrome Fibromyalgia Crohn Disease Inflammatory Bowel Diseases Parkin Parkinson Disease Multiple Sclerosis Brain Injuries Brain Injuries, Traumatic Seizures Motor Neuron Disease Amyotrophic Lateral Sclerosis Brain Diseases Tourette Syndrome Chronic Traumatic Encephalopathy Anemia, Sickle Cell Disease Syndrome Sclerosis Chronic Pain Wounds and Injuries Stress Disorders, Traumatic Bipolar Disorder Stress Disorders, Post-Traumatic
HPO:Abnormal anterior horn cell morphology Amyotrophic lateral sclerosis Bilateral tonic-clonic seizure Bipolar affective disorder Chronic pain Crohn's disease Encephalopathy Focal-onset seizure Generalized-onset seizure Inflammation of the large intestine Mania Seizure

Primary Outcomes

Description: Covid-19 infection rates in cannabis users will be compared to rates in the general population. Our online questionnaire responses will compare infection rates of cannabis users in this study against the Johns Hopkins University Coronavirus Research Center data (

Measure: Prevention of COVID-19

Time: Five years

Description: Severity of persistent symptoms in cannabis users testing positive for active infection and/or antibodies will also be compared to the general population. Patients will answer the widely used FLU-PRO questionnaire, which asks about flu symptoms and severity, to capture diagnoses, symptoms, and medical interventions related to COVID-19. The data from cannabis user patients will be compared with national and international data surveys, such as the Covid Symptom Study (

Measure: Treatment of COVID-19

Time: Five years

Description: The primary objective is to assess the efficacy and safety of medical cannabis as medicine for treatment of chronic pain and other chronic debilitating diseases. Pain will be measured by Brief Pain Inventory (BPI) numeric scale. Change from baseline in BPI will be assessed at 3-month intervals. For prospective associations between cannabis use and outcomes, use of a lagged mixed-effects models will examine temporal associations between cannabis use and pain severity, opioid sparing, and patient satisfaction. Data will be analyzed from baseline and the annual follow-up waves.

Measure: Treatment of Symptoms

Time: Five years

Secondary Outcomes

Description: Secondary objectives include evaluating increases or decreases in quality of life, and increases or decreases in concomitant opioid use. Satisfaction with treatment will be measured by a Visual Analog Score (VAS). Change From baseline in Satisfaction with treatment measured by (VAS) be assessed at 3-month intervals.

Measure: Cannabis Impact on Quality of Life

Time: Five years

Description: Tertiary objectives will examine preferences for routes of administration, and preferences for THC / CBD ratios. Categorical factors will be summarized using frequencies and percentages, while continuous measure distributions will be described using means, standard deviations, and quartiles of interest.

Measure: Cannabis Route and Dosing

Time: Five years

Description: Incidence of Treatment-Related Adverse Events will be measured by Physician Global Assessment (PGA) numeric scale. Number of participants with Treatment-Related Adverse Events will be assessed by CTCAE v4.0.

Measure: Monitoring Adverse Events

Time: Five years
2 The UK MS Regsiter COVID-19 Substudy

The aim of the study is to understand the impact of COVID-19 on People with Multiple Sclerosis in the United Kingdom.

  1. Multiple Sclerosis
  2. COVID-19
MeSH:Multiple Sclerosis Sclerosis

Primary Outcomes

Description: Targeted questionnaire dependent on COVID Status

Measure: Incidence of COVID-19 Infections within an MS Cohort in the UK

Time: Through study completion, an average of 1 year

Description: Monitor admission rates in linked population

Measure: Hospitalisations in MS Patients with COVID-19

Time: 1 Year (regular outputs)

Description: Death data from routinely reported government level data (HES/PEDW)

Measure: Mortality

Time: 1 Year from study commencement

Secondary Outcomes

Description: Patient Reported Outcome for MS disability

Measure: Patient Reported Expanded Disability Status Score

Time: 1 year (at least 6 monthly)

Description: Patient Reported Outcome for anxiety and depression

Measure: Hospital Anxiety and Depression Scale

Time: 1 year (at least 6 monthly)

Description: Patient Reported Outcome for Multiple sclerosis impact on physical and psychological status

Measure: Multiple Sclerosis Impact Scale 29 V2

Time: 1 year (at least 6 monthly)

Description: Patient Reported Outcome for walking status

Measure: Multiple Sclerosis Walking Scale 12 V2

Time: 1 year (at least 6 monthly)

Description: Patient Reported Outcome for impact of fatigue

Measure: Fatigue Severity Scale

Time: 1 year (at least 6 monthly)

Description: Patient Reported Outcome for general quality of life

Measure: EuroQol 5D (3l)

Time: 1 year (at least 6 monthly)
3 Cohort Study Evaluating the Epidemiological Characteristics of Coronavirus Infection (SARS-CoV-2) in Patients With MS or NMO

The purpose of this study is to collect French medical data for patients with Multiple Sclerosis (MS) or NeuroMyelitis Optica (NMO) spectrum disorder who are diagnosed or strongly suspected of being infected with Covid19. The objective of this study is to provide scientific information regarding the possible risk factors in these patients, as a large part of them receive immunomodulatory or immunosuppressive treatments. The main objective of this study is thus to determine the epidemiological (eg, age, form of disease, disability) and pharmacological (related to immunomodulatory or immunosuppressive treatments) factors favoring the occurrence of a severe form of Covid-19 in MS and NMO patients.

  1. Multiple Sclerosis
  2. NMO Spectrum Disorder
  3. COVID-19
  1. Other: Evaluation of the epidemiological characteristics of coronavirus infection (SARS-CoV-2)
MeSH:Multiple Sclerosis Neuromyelitis Optica

Primary Outcomes

Description: The main outcome measure is a clinical severity score on a 7-point severity scale at Nadir (in medicine, the most severe point in the progression of symptoms of a pathology). Nadir scale from 1 : Not hospitalized, no limitation of activities to 7 :Death

Measure: Clinical severity

Time: 6 months

Secondary Outcomes

Description: EDSS is the Expanded Disability Severity Scale, a measure of neurological disability in patients with MS or NMO. EDSS Scale from 0: normal neurological examination to 10: MS-related Death

Measure: EDSS (Expanded Disability Status Scale)

Time: 6 months
4 SUNLIGHT Study: Online Support Groups for Multiple Sclerosis (MS) to Address COVID-19

Stress and anxiety can have an adverse impact on health, and the experience of many around the 2020 outbreak of COVID-19 is affecting health and well-being. Individuals with chronic disease such as multiple sclerosis may be particularly vulnerable in some ways, but also particularly resilient in others. This study evaluates the effects of belonging to online support groups that meet weekly for 12 weeks to address the stress and anxiety felt by individuals with Multiple Sclerosis (MS). This study will also measure and explore the effects of online support groups.

  1. MS (Multiple Sclerosis)
  2. COVID-19
  3. Support Groups
  1. Behavioral: Online support Group
MeSH:Multiple Sclerosis Sclerosis

Primary Outcomes

Description: Acceptable rate is defined as at least 66% of participants who complete follow-up surveys.

Measure: Rate of completion

Time: Up to 12 weeks

Description: Acceptable rate is defined as at least 66% of sessions being attended.

Measure: Rate of adherence

Time: Up to 12 weeks

Secondary Outcomes

Description: The STAI is a commonly used measure of trait and state anxiety that is scored from 20 (minimum score) to 80 (maximum score), with a higher scores indicating higher anxiety (worse outcome).

Measure: Score on the State Trait Anxiety Inventory (STAI)

Time: Up to 12 weeks

Other Outcomes

Description: Mood as measured by change in depression or depressive symptoms will be measured with the 8-item PHQ-8 which is scored from 0 (minimum score) to 24 (maximum score), in which higher scores indicate higher depression or depressive symptoms (worse outcome).

Measure: Score on the Personal Health Questionnaire Depression Scale (PHQ-8)

Time: Up to 12 weeks
5 COVID-19 Related Lockdown Effects On Chronic Diseases

The containment associated with the VIDOC-19 pandemic creates an unprecedented societal situation of physical and social isolation. Our hypothesis is that in patients with chronic diseases, confinement leads to changes in health behaviours, adherence to pharmacological treatment, lifestyle rules and increased psychosocial stress with an increased risk of deterioration in their health status in the short, medium and long term. Some messages about the additional risk/danger associated with taking certain drugs in the event of COVID disease have been widely disseminated in the media since March 17, 2020, the date on which containment began in France. This is the case, for example, for corticosteroids, non-steroidal anti-inflammatory drugs but also for converting enzyme inhibitors (ACE inhibitors) and angiotensin II receptor antagonists (ARBs2). These four major classes of drugs are widely prescribed in patients with chronic diseases, diseases specifically selected in our study (corticosteroids: haematological malignancies, multiple sclerosis, Horton's disease; ACE inhibitors/ARAs2: heart failure, chronic coronary artery disease). Aspirin used at low doses as an anti-platelet agent in coronary patients as a secondary prophylaxis after a myocardial infarction can be stopped by some patients who consider aspirin to be a non-steroidal anti-inflammatory drug. Discontinuation of this antiplatelet agent, which must be taken for life after an infarction, exposes the patient to a major risk of a new cardiovascular event. The current difficulty of access to care due to travel restrictions (a theoretical limit in the context of French confinement but a priori very real), the impossibility of consulting overloaded doctors, or the cancellation of medical appointments, medical and surgical procedures due to the reorganization of our hospital and private health system to better manage COVID-19 patients also increases the risk of worsening the health status of chronic patients who by definition require regular medical monitoring. Eight Burgundian cohorts of patients with chronic diseases (chronic coronary artery disease, heart failure, multiple sclerosis, Horton's disease, AMD, haemopathic malignancy, chronic respiratory failure (idiopathic fibrosis, PAH) haemophilia cohort) will study the health impact of the containment related to the COVID-19 pandemic.

  1. Chronic Coronary Syndrome
  2. Heart Failure
  3. AMD and Macular Edema
  4. Chronic Respiratory Failure
  5. Hemophilia
  6. Malignant Hemopathy
  7. Multiple Sclerosis
  8. Horton's Disease
  1. Other: life questionnaires
  2. Other: questionnaire
MeSH:Polymyalgia Rheumatica Respiratory Insufficiency Multiple Sclerosis Giant Cell Arteritis Macular Edema Chronic Disease
HPO:Cystoid macular edema Macular edema

Primary Outcomes

Description: increase in dose, decrease in dose, discontinuation or no change for each drug class)

Measure: % adherence to each pharmacological class

Time: during the period from 20 April 2020 to 7 May 2020

Description: (mortality, hospitalizations and relevant criteria for each pathology all related to the chronic disease)

Measure: number of occurrence of medical events at 1 year

Time: throughout the study for 12 months

Secondary Outcomes

Description: Smoking/Smoking/sweetening, Alcohol consumption/recovery, Decreased physical activity, Weight change

Measure: Expressed in %: Non-pharmacological treatment/lifestyle:

Time: during the period from 20 April 2020 to 7 May 2020

Measure: Expressed in %: Difficulties accessing care: medical appointments, prescriptions, medication

Time: during the period from 20 April 2020 to 7 May 2020

Measure: Measurement of psychological distress: Kessler's specific questionnaire (score between 0 and 24)

Time: during the period from 20 April 2020 to 7 May 2020
6 Investigation of Fatigue, Physical Activity, Sleep Quality and Anxiety Levels of Multiple Sclerosis Patients in the COVID-19 Pandemic

Hundreds of thousands of confirmed cases have been reported worldwide, just 3 months after the first patients were identified in Wuhan, China. Just like other members of the community, MS patients are uncomfortable with the emotional distress and health anxiety caused by the COVID-19 outbreak. Most MS patients receive immunosuppressive or immunomodulatory therapies. Patients taking immunosuppressive agents are theoretically at increased risk of being affected by viral pandemics, and a higher health concern is expected in this group of patients. Moreover, MS patients lose social support. Patients with increased duration of stay can no longer access physical and cognitive rehabilitation therapies. We also know that increased anxiety and sleep disorders can cause MS patients to have an attack. When literature is examined, it is known that MS patients' physical activity levels decrease, fatigue, sleep quality and anxiety levels increase, so their quality of life and participation in daily life activities decrease. MS patients lose social support during the COVID-19 outbreak. For all these reasons, we think that the fatigue, physical activity level, anxiety level and sleep disturbances affected before the COVID-19 outbreak will be further affected for these reasons.

  1. Multiple Sclerosis
  2. Covid-19
MeSH:Multiple Sclerosis Sclerosis Fatigue

Primary Outcomes

Description: Fatigue was assessed by the Fatigue Severity Scale (FSS). This is a 9-item questionnaire that assesses the effect of fatigue on daily living. Each item is a statement on fatigue that the subject rates from 1 "completely disagree" to 7 "completely agree". A score of 4 or higher generally indicates severe fatigue

Measure: Fatigue

Time: 4 week

Description: Physical activity levels were assessed by the International Physical Activity Questionnaire (IPAQ): short form. The online self-reporting questionnaire consisted of questions investigating the respondents' PA practice in terms of frequencies and durations of sitting, walking, moderate-intensity physical activities and vigorous-intensity physical activities. The MET-minutes per week (MET-min/week) were calculated using the following formula: intensity (MET) x duration x frequency. Physical activity levels were classified as physically inactive (<600 MET-min/week), with low levels of physical activity (600-3000 MET- min/week) and physical activity level that is sufficient (> 3000 MET-min/week)

Measure: Physical activity

Time: 4 week

Description: The Pittsburgh Sleep Quality Index (PSQI) questionnaire was used to measure sleep quality using an 18-item scale containing seven items that included sleep quality, sleep duration, sleep latency, habitual sleep efficiency, sleep disturbance, use of sleeping medications, and daytime dysfunction. Each dimension scored between 0-3, with a total score ranging from 0-21, and a higher score indicating lower sleep quality.

Measure: Sleep quality

Time: 4 week

Description: The Hospital Anxiety and Depression Scale (HADS) was composed by two subscales (i.e., anxiety and depression), with 7-items each. The anxiety part of HADS was used to evaluate the anxiety levels of the patients. Each dimension scored between 0-3, with a total score ranging from 0-21, and a higher score indicating higher anxiety level.

Measure: Anxiety

Time: 4 week
7 COVID-19 and SARS-CoV-2 Antibodies in Multiple Sclerosis Patients: a Large Study in the Amsterdam MS Cohort

Rationale: Patients with MS are possibly more vulnerable to infection with SARS-CoV-2. Furthermore the use of immunomodulatory treatment could have an effect on the course of COVID-19 disease. This has resulted in an alteration of current immunomodulatory treatment strategies and delaying the start of certain medications, which could induce MS disease activity. However, certain immunomodulatory treatments are also hypothesized to have a positive effect on COVID-19 disease. Besides lack of information regarding the effects of MS treatments on COVID-19, there is significant uncertainty in how we should advise MS patients in terms of self-isolation, resulting in many patients staying at home reluctant to perform their work or other daily activities. Nationally and locally, we are collecting information regarding COVID-19 in MS patients but numbers are low and only those who are severely affected are tested. Furthermore, there is no information regarding SARS-CoV-2 immunity in MS patients, which could be affected by certain MS treatments. Consequently, there is an urgent need for reliable information about infection rates/immunity and course of COVID-19 in relation to MS characteristics and treatments. Objectives: The objectives of this study are 1. to study the course of COVID-19 in MS patients in relation to immunomodulatory treatment and other patient and MS characteristics and 2. to study the proportion of MS patients with SARS-CoV-2 antibodies and 3. to establish the antibody profile in positive tested patients and 4. to study the longitudinal course of these antibody profiles in positive tested patients. Study design: This is a mono-center cohort study in patients of the MS Center Amsterdam. Study population: All patients with a diagnosis of MS currently under follow-up in the Amsterdam MS Center. Intervention (if applicable): Single venous puncture for drawing blood and questionnaire. For a minority of patients (max 25%) who test positive for antibodies we will draw blood a again with questionnaires after six and twelve months. Main study parameters/endpoints: Course of COVID-19 in MS patients in relation to MS immunomodulatory treatment.

  1. Multiple Sclerosis
  1. Diagnostic Test: Testing of SARS-CoV-2 antibodies
MeSH:Multiple Sclerosis Sclerosis

Primary Outcomes

Description: Correlationg of disease course of COVID-19 in patients with positive SARS-CoV-2 antibodies defined by questionnaires (asymptomatic, mild symptoms, severe symptoms, hospitalization) with MS immunomodulatory treatment (asked by questionnaires)

Measure: The correlation of COVID-19 disease course with MS immunomodulatory treatment

Time: at baseline questionnaires and lab results
8 Estimating Prevalence of COVID-19 Infection and SARS-CoV-2 Antibodies in MS Patients With and Without Ocrelizumab Treatment, and Comparing Immune Responses to COVID-19 in MS Patients on Ocrelizumab and Healthy Controls

This non-interventional, biospecimen collection study is designed to help us better understand whether MS patients have impaired immune defenses to COVID-19 infection. The potential influence of immune modulating medications for MS will be considered through these exploratory studies. This study is also designed to provide context for interpretation of anti-SARS CoV2 serologies in MS patients during convalescence from COVID-19 infection.

  1. Multiple Sclerosis
  2. Covid19
MeSH:Multiple Sclerosis

Primary Outcomes

Description: Seropositivity rate against SARS-CoV-2 (nucleocapsid and/or spike proteins, as available) as measured by the Roche DIA antibody assay in MS patients.

Measure: Seropositivie Rate Against SARS-CoV-2

Time: Baseline, Day 0

Secondary Outcomes

Description: SARS-CoV-2 specific T cells will be measured using a well-validated assay such as ELISpot (enzyme-linked immune absorbent spot) to measure T cell responses to stimulation.

Measure: T Cell Response

Time: Baseline, Day 0

HPO Nodes


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HPO Nodes


Data processed on January 01, 2021.

An HTML report was created for each of the unique drugs, MeSH, and HPO terms associated with COVID-19 clinical trials. Each report contains a list of either the drug, the MeSH terms, or the HPO terms. All of the terms in a category are displayed on the left-hand side of the report to enable easy navigation, and the reports contain a list of correlated drugs, MeSH, and HPO terms. Further, all reports contain the details of the clinical trials in which the term is referenced. Every clinical trial report shows the mapped HPO and MeSH terms, which are also hyperlinked. Related HPO terms, with their associated genes, protein mutations, and SNPs are also referenced in the report.

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706 reports on MeSH terms


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