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{ "count": 24898, "next": "http://api.gregory-ms.com/articles/?format=api&page=1555", "previous": "http://api.gregory-ms.com/articles/?format=api&page=1553", "results": [ { "article_id": 380504, "title": "Challenges in multiple sclerosis diagnosis: Misunderstanding and misapplication of the McDonald criteria", "summary": "<jats:sec><jats:title>Objective:</jats:title><jats:p> To assess comprehension and application of the McDonald criteria. </jats:p></jats:sec><jats:sec><jats:title>Background:</jats:title><jats:p> Studies suggest that knowledge gaps for specific core elements of the McDonald criteria may contribute to multiple sclerosis (MS) misdiagnosis. </jats:p></jats:sec><jats:sec><jats:title>Methods:</jats:title><jats:p> Neurology residents (NR) and multiple sclerosis specialists (MSS) in North America completed a web-based survey. </jats:p></jats:sec><jats:sec><jats:title>Results:</jats:title><jats:p> A total of 160 participants were included: 72 NR and 88 MSS. Syndromes incorrectly identified as typical of MS included: complete transverse myelopathy (35% NR and 15% MSS), intractable vomiting/nausea/hiccoughs (20% NR and 5% MSS), and bilateral optic neuritis/unilateral optic neuritis with poor visual recovery (17% NR and 10% MSS). Periventricular magnetic resonance imaging (MRI) lesions were correctly identified by 39% NR and 52% MSS, and juxtacortical lesions were correctly identified by 28% NR and 53% MSS. The correct definition of “periventricular” was chosen by 38% NR and 61% MSS, and that of “juxtacortical” was chosen by 19% NR and 54% MSS. Regions incorrectly identified for MRI dissemination in space fulfillment included the optic nerve (31% NR and 26% MSS) and the subcortical white matter (11% NR and 18% MSS). The majority of participants assessed previous non-specific neurological symptoms without objective evidence of a central nervous system (CNS) lesion as sufficient for clinical dissemination in time. </jats:p></jats:sec><jats:sec><jats:title>Conclusion:</jats:title><jats:p> The McDonald criteria are often misunderstood and misapplied. Concerted educational efforts may prevent MS misdiagnosis. </jats:p></jats:sec>", "link": "http://journals.sagepub.com/doi/pdf/10.1177/1352458520910496", "published_date": "2020-03-12T00:00:00Z", "sources": [ "SAGE Publications" ], "teams": [ { "id": 1, "name": "Team Gregory" } ], "subjects": [ { "subject_name": "Multiple Sclerosis", "description": null } ], "publisher": "SAGE Publications", "container_title": "Multiple Sclerosis Journal", "authors": [ { "author_id": 251014, "given_name": "Andrew J", "family_name": "Solomon", "ORCID": null, "country": null }, { "author_id": 257986, "given_name": "Roman", "family_name": "Pettigrew", "ORCID": null, "country": null }, { "author_id": 237463, "given_name": "Robert T", "family_name": "Naismith", "ORCID": null, "country": null }, { "author_id": 257987, "given_name": "Salim", "family_name": "Chahin", "ORCID": null, "country": null }, { "author_id": 240958, "given_name": "Stephen", "family_name": "Krieger", "ORCID": null, "country": null }, { "author_id": 159857, "given_name": "Brian", "family_name": "Weinshenker", "ORCID": "http://orcid.org/0000-0001-5806-6203", "country": "US" } ], "relevant": null, "ml_prediction_gnb": false, "ml_prediction_lr": false, "ml_prediction_lsvc": false, "discovery_date": "2022-05-31T16:16:47.188873Z", "noun_phrases": [ "Challenges", "multiple sclerosis diagnosis", "Misunderstanding", "misapplication", "the McDonald criteria" ], "doi": "10.1177/1352458520910496", "access": "restricted", "takeaways": " Studies suggest knowledge gaps for specific core elements of the McDonald criteria may contribute to multiple sclerosis (MS) misdiagnosis . Neurology residents (NR) and multiple sclerosis specialists (MSS) in North America completed a web-based survey .", "categories": [] }, { "article_id": 381864, "title": "Month of birth as a latitude-dependent risk factor for multiple sclerosis in Norway", "summary": "<jats:sec><jats:title>Objective:</jats:title><jats:p> We aimed to determine if the risk of Multiple Sclerosis (MS) is associated with month of birth in Norway and to explore a possible latitudinal gradient. </jats:p></jats:sec><jats:sec><jats:title>Methods:</jats:title><jats:p> All patients with MS born between 1930 and 1979 registered in the Norwegian MS Registry or ascertained in Norwegian prevalence studies were included ( n = 6649). The latitude gradient was divided in Southern, Middle and Northern Norway, according to the estimated regional yearly mean vitamin D effective UV dose. </jats:p></jats:sec><jats:sec><jats:title>Results:</jats:title><jats:p> Risk of MS was 11% higher for those born in April ( p = 0.045), and 5% higher for those born in May ( p = 0.229), 5% lower for those born in November ( p = 0.302) and 12% lower for those born in February ( p = 0.053) compared with the corresponding population, unaffected mothers and siblings. In Southern Norway the odds ratio of MS births in April and May was 1.05 (0.98 – 1.24), in Middle Norway 1.11 (0.97 – 1.27) and in Northern Norway 1.28 (1.0 – 1.63) compared with the other months. </jats:p></jats:sec><jats:sec><jats:title>Conclusions:</jats:title><jats:p> This study confirms previous reports of increased MS births in spring and decreased MS births in the winter months. This could support the role of decreased sunlight exposure during pregnancy and vitamin D deficiency in prenatal life in MS. </jats:p></jats:sec>", "link": "https://journals.sagepub.com/doi/full/10.1177/1352458513489759", "published_date": "2012-12-20T00:00:00Z", "sources": [ "SAGE Publications" ], "teams": [ { "id": 1, "name": "Team Gregory" } ], "subjects": [ { "subject_name": "Multiple Sclerosis", "description": null } ], "publisher": "SAGE Publications", "container_title": "Multiple Sclerosis Journal", "authors": [ { "author_id": 194635, "given_name": "Nina", "family_name": "Grytten", "ORCID": "http://orcid.org/0000-0002-7654-5897", "country": null }, { "author_id": 163680, "given_name": "Øivind", "family_name": "Torkildsen", "ORCID": "http://orcid.org/0000-0001-5294-2866", "country": "NO" }, { "author_id": 294751, "given_name": "Jan Harald", "family_name": "Aarseth", "ORCID": null, "country": null }, { "author_id": 244180, "given_name": "Espen", "family_name": "Benjaminsen", "ORCID": null, "country": null }, { "author_id": 157497, "given_name": "Elisabeth Gulowsen", "family_name": "Celius", "ORCID": "http://orcid.org/0000-0002-9127-6488", "country": null }, { "author_id": 294752, "given_name": "Ole Petter", "family_name": "Dahl", "ORCID": null, "country": null }, { "author_id": 194636, "given_name": "Trygve", "family_name": "Holmøy", "ORCID": "http://orcid.org/0000-0002-2529-5664", "country": null }, { "author_id": 294753, "given_name": "Kristin", "family_name": "Løken-Amsrud", "ORCID": null, "country": null }, { "author_id": 143730, "given_name": "Rune", "family_name": "Midgard", "ORCID": "http://orcid.org/0000-0002-6096-726X", "country": null }, { "author_id": 184116, "given_name": "Kjell-Morten", "family_name": "Myhr", "ORCID": "http://orcid.org/0000-0002-0980-510X", "country": null }, { "author_id": 294754, "given_name": "Geir", "family_name": "Risberg", "ORCID": null, "country": null }, { "author_id": 244182, "given_name": "Anita", "family_name": "Vatne", "ORCID": null, "country": null }, { "author_id": 241934, "given_name": "Margitta T", "family_name": "Kampman", "ORCID": null, "country": null } ], "relevant": null, "ml_prediction_gnb": false, "ml_prediction_lr": false, "ml_prediction_lsvc": false, "discovery_date": "2022-05-31T16:16:47.188873Z", "noun_phrases": [ "Month", "birth", "a latitude-dependent risk factor", "multiple sclerosis", "Norway" ], "doi": "10.1177/1352458512471094", "access": "restricted", "takeaways": " All patients with MS born between 1930 and 1979 registered in the Norwegian MS Registry or ascertained in Norwegian prevalence studies were included . Risk of MS was 11% higher for those born in April (p = 0.045), and 5% higher . for those . born in May (p=0.229), 5% lower for those born in November (p) and 12% lower in February . In Southern Norway the odds ratio of MS births in April and May was 1.", "categories": [] }, { "article_id": 381304, "title": "The clinical perspective: How to personalise treatment in MS and how may biomarkers including imaging contribute to this?", "summary": "<jats:sec><jats:title>Background:</jats:title><jats:p> Multiple sclerosis (MS) is a highly heterogeneous disease, both in its course and in its response to treatments. Effective biomarkers may help predict disability progression and monitor patients’ treatment responses. </jats:p></jats:sec><jats:sec><jats:title>Objective:</jats:title><jats:p> The aim of this review was to focus on how biomarkers may contribute to treatment individualisation in MS patients. </jats:p></jats:sec><jats:sec><jats:title>Methods:</jats:title><jats:p> This review reflects the content of presentations, polling results and discussions on the clinical perspective of MS during the first and second Pan-European MS Multi-stakeholder Colloquia in Brussels in May 2014 and 2015. </jats:p></jats:sec><jats:sec><jats:title>Results:</jats:title><jats:p> In clinical practice, magnetic resonance imaging (MRI) measures play a significant role in the diagnosis and follow-up of MS patients. Together with clinical markers, the rate of MRI-visible lesion accrual once a patient has started treatment may also help to predict subsequent treatment responsiveness. In addition, several molecular (immunological, genetic) biomarkers have been established that may play a role in predictive models of MS relapses and progression. To reach personalised treatment decisions, estimates of disability progression and likely treatment response should be carefully considered alongside the risk of serious adverse events, together with the patient’s treatment expectations. </jats:p></jats:sec><jats:sec><jats:title>Conclusion:</jats:title><jats:p> Although biomarkers may be very useful for individualised decision making in MS, many are still research tools and need to be validated before implementation in clinical practice. </jats:p></jats:sec>", "link": "http://journals.sagepub.com/doi/pdf/10.1177/1352458516650739", "published_date": "2016-07-26T00:00:00Z", "sources": [ "SAGE Publications" ], "teams": [ { "id": 1, "name": "Team Gregory" } ], "subjects": [ { "subject_name": "Multiple Sclerosis", "description": null } ], "publisher": "SAGE Publications", "container_title": "Multiple Sclerosis Journal", "authors": [ { "author_id": 166338, "given_name": "Patrick", "family_name": "Vermersch", "ORCID": "http://orcid.org/0000-0003-0997-8817", "country": null }, { "author_id": 163862, "given_name": "Thomas", "family_name": "Berger", "ORCID": "http://orcid.org/0000-0001-5626-1144", "country": null }, { "author_id": 147050, "given_name": "Ralf", "family_name": "Gold", "ORCID": "http://orcid.org/0000-0002-7223-3052", "country": null }, { "author_id": 219263, "given_name": "Carsten", "family_name": "Lukas", "ORCID": "http://orcid.org/0000-0002-8562-9697", "country": null }, { "author_id": 162453, "given_name": "Àlex", "family_name": "Rovira", "ORCID": "http://orcid.org/0000-0002-2132-6750", "country": null }, { "author_id": 260645, "given_name": "Bianca", "family_name": "Meesen", "ORCID": null, "country": null }, { "author_id": 150000, "given_name": "Declan", "family_name": "Chard", "ORCID": "http://orcid.org/0000-0003-3076-2682", "country": null }, { "author_id": 154799, "given_name": "Manuel", "family_name": "Comabella", "ORCID": "http://orcid.org/0000-0002-2373-6657", "country": "ES" }, { "author_id": 245422, "given_name": "Jacqueline", "family_name": "Palace", "ORCID": null, "country": null }, { "author_id": 152739, "given_name": "Maria", "family_name": "Trojano", "ORCID": "http://orcid.org/0000-0002-6329-8946", "country": null } ], "relevant": null, "ml_prediction_gnb": false, "ml_prediction_lr": false, "ml_prediction_lsvc": false, "discovery_date": "2022-05-31T16:16:47.188873Z", "noun_phrases": [ "The clinical perspective", "treatment", "MS", "biomarkers", "this" ], "doi": "10.1177/1352458516650739", "access": "open", "takeaways": " Magnetic resonance imaging (MRI) measures play a significant role in the diagnosis and follow-up of MS patients . Several molecular (immunological, genetic) biomarkers have been established that may play a role in predictive models of MS relapses and progression .", "categories": [] }, { "article_id": 381945, "title": "Radiologically isolated syndrome – incidental magnetic resonance imaging findings suggestive of multiple sclerosis, a systematic review", "summary": "<jats:p> With increasing availability of magnetic resonance imaging (MRI), there is also an increase in incidental abnormal findings. MRI findings suggestive of multiple sclerosis in persons without typical multiple sclerosis symptoms and with normal neurological findings are defined as radiologically isolated syndrome (RIS). Half of the persons with RIS have their initial MRI because of headache, and some have a subclinical cognitive impairment similar to that seen in multiple sclerosis. Radiological measurements also show a similarity between RIS and multiple sclerosis. Approximately two-thirds of persons with RIS show radiological progression and one-third develop neurological symptoms during mean follow-up times of up to five years. Cervical cord lesions are important predictors of clinical conversion. Management has to be individualised, but initiation of disease modifying therapy is controversial and not recommended outside of clinical trials since its effects have not been studied in RIS. Future studies should try to establish the prevalence and long-term prognosis of RIS, its impact on quality of life, and define the role of disease modifying therapy in RIS. </jats:p>", "link": "https://journals.sagepub.com/doi/full/10.1177/1352458512461391", "published_date": "2012-07-03T00:00:00Z", "sources": [ "SAGE Publications" ], "teams": [ { "id": 1, "name": "Team Gregory" } ], "subjects": [ { "subject_name": "Multiple Sclerosis", "description": null } ], "publisher": "SAGE Publications", "container_title": "Multiple Sclerosis Journal", "authors": [ { "author_id": 160825, "given_name": "Tobias", "family_name": "Granberg", "ORCID": "http://orcid.org/0000-0001-6700-1022", "country": "SE" }, { "author_id": 259264, "given_name": "Juha", "family_name": "Martola", "ORCID": null, "country": null }, { "author_id": 259269, "given_name": "Maria", "family_name": "Kristoffersen-Wiberg", "ORCID": null, "country": null }, { "author_id": 259268, "given_name": "Peter", "family_name": "Aspelin", "ORCID": null, "country": null }, { "author_id": 160824, "given_name": "Sten", "family_name": "Fredrikson", "ORCID": "http://orcid.org/0000-0002-8042-3286", "country": "SE" } ], "relevant": null, "ml_prediction_gnb": false, "ml_prediction_lr": false, "ml_prediction_lsvc": false, "discovery_date": "2022-05-31T16:16:47.188873Z", "noun_phrases": [ "Radiologically isolated syndrome", "incidental magnetic resonance imaging findings", "multiple sclerosis", "a systematic review" ], "doi": "10.1177/1352458512451943", "access": "restricted", "takeaways": " MRI findings suggestive of multiple sclerosis in persons without typical multiple sclerosis symptoms and with normal neurological findings are defined as radiologically isolated syndrome (RIS) Half of persons with RIS have their initial MRI because of headache, and some have a subclinical cognitive impairment similar to that seen in multiple sclerosis .", "categories": [] }, { "article_id": 380925, "title": "Silent lesions on MRI imaging – Shifting goal posts for treatment decisions in multiple sclerosis", "summary": "<jats:sec><jats:title>Background:</jats:title><jats:p> The current best practice suggests yearly magnetic resonance imaging (MRI) to monitor treatment response in multiple sclerosis (MS) patients. </jats:p></jats:sec><jats:sec><jats:title>Objective:</jats:title><jats:p> To evaluate the current practice of clinicians changing MS treatment based on subclinical new MRI lesions alone. </jats:p></jats:sec><jats:sec><jats:title>Methods:</jats:title><jats:p> Using MSBase, an international MS patient registry with MRI data, we analysed the probability of treatment change among patients with clinically silent new MRI lesions. </jats:p></jats:sec><jats:sec><jats:title>Results:</jats:title><jats:p> A total of 8311 MRI brain scans of 4232 patients were identified. Around 26.9% (336/1247) MRIs with one new T2 lesion were followed by disease-modifying therapy (DMT) change, increasing to 50.2% (129/257) with six new T2 lesions. DMT change was twice as likely with new T1 contrast enhancing compared to new T2 lesions odds ratio (OR): 2.43, 95% confidence interval (CI): 2.00–2.96 vs OR: 1.26 (95% CI: 1.22–1.29). DMT change with new MRI lesions occurred most frequently with ‘injectable’ DMTs. The probability of switching therapy was greater only after high-efficacy therapies became available in 2007 (after, OR: 1.43, 95% CI: 1.28–1.59 vs before, OR: 0.98, 95% CI: 0.520–1.88). </jats:p></jats:sec><jats:sec><jats:title>Conclusion:</jats:title><jats:p> MS clinicians rely increasingly on MRI alone in their treatment decisions, utilizing low thresholds (1 new T2 lesion) for optimizing MS therapy. This signals a shift towards no evidence of disease activity (NEDA)-3 since high-efficacy therapies became available. </jats:p></jats:sec>", "link": "http://journals.sagepub.com/doi/pdf/10.1177/1352458518798147", "published_date": "2018-09-20T00:00:00Z", "sources": [ "SAGE Publications" ], "teams": [ { "id": 1, "name": "Team Gregory" } ], "subjects": [ { "subject_name": "Multiple Sclerosis", "description": null } ], "publisher": "SAGE Publications", "container_title": "Multiple Sclerosis Journal", "authors": [ { "author_id": 290769, "given_name": "Myintzu", "family_name": "Min", "ORCID": null, "country": null }, { "author_id": 180639, "given_name": "Tim", "family_name": "Spelman", "ORCID": "http://orcid.org/0000-0001-9204-3216", "country": null }, { "author_id": 148215, "given_name": "Alessandra", "family_name": "Lugaresi", "ORCID": "http://orcid.org/0000-0003-2902-5589", "country": "IT" }, { "author_id": 151333, "given_name": "Cavit", "family_name": "Boz", "ORCID": "http://orcid.org/0000-0003-0956-3304", "country": null }, { "author_id": 260257, "given_name": "Daniele LA", "family_name": "Spitaleri", "ORCID": null, "country": null }, { "author_id": 260256, "given_name": "Eugenio", "family_name": "Pucci", "ORCID": null, "country": null }, { "author_id": 241020, "given_name": "Francois", "family_name": "Grand’Maison", "ORCID": null, "country": null }, { "author_id": 242442, "given_name": "Franco", "family_name": "Granella", "ORCID": null, "country": null }, { "author_id": 240611, "given_name": "Guillermo", "family_name": "Izquierdo", "ORCID": null, "country": null }, { "author_id": 171213, "given_name": "Helmut", "family_name": "Butzkueven", "ORCID": "http://orcid.org/0000-0003-3940-8727", "country": "AU" }, { "author_id": 260017, "given_name": "Jose Luis", "family_name": "Sanchez-Menoyo", "ORCID": null, "country": null }, { "author_id": 241029, "given_name": "Michael", "family_name": "Barnett", "ORCID": null, "country": null }, { "author_id": 182584, "given_name": "Marc", "family_name": "Girard", "ORCID": "http://orcid.org/0000-0001-8207-8896", "country": null }, { "author_id": 152739, "given_name": "Maria", "family_name": "Trojano", "ORCID": "http://orcid.org/0000-0002-6329-8946", "country": null }, { "author_id": 204671, "given_name": "Pierre", "family_name": "Grammond", "ORCID": "http://orcid.org/0000-0001-6341-724X", "country": "CA" }, { "author_id": 183403, "given_name": "Pierre", "family_name": "Duquette", "ORCID": "http://orcid.org/0000-0001-7231-1754", "country": null }, { "author_id": 148208, "given_name": "Patrizia", "family_name": "Sola", "ORCID": "http://orcid.org/0000-0002-1700-1726", "country": null }, { "author_id": 157717, "given_name": "Raed", "family_name": "Alroughani", "ORCID": "http://orcid.org/0000-0001-5436-5804", "country": null }, { "author_id": 180862, "given_name": "Raymond", "family_name": "Hupperts", "ORCID": "http://orcid.org/0000-0003-2106-2158", "country": null }, { "author_id": 160168, "given_name": "Steve", "family_name": "Vucic", "ORCID": "http://orcid.org/0000-0002-8323-873X", "country": null }, { "author_id": 160181, "given_name": "Tomas", "family_name": "Kalincik", "ORCID": "http://orcid.org/0000-0003-3778-1376", "country": null }, { "author_id": 297269, "given_name": "Vincent", "family_name": "Van pesch", "ORCID": null, "country": null }, { "author_id": 177180, "given_name": "Jeannette", "family_name": "Lechner-Scott", "ORCID": "http://orcid.org/0000-0002-3850-447X", "country": null } ], "relevant": null, "ml_prediction_gnb": false, "ml_prediction_lr": false, "ml_prediction_lsvc": false, "discovery_date": "2022-05-31T16:16:47.188873Z", "noun_phrases": [ "Silent lesions", "MRI imaging", "goal posts", "treatment decisions", "multiple sclerosis" ], "doi": "10.1177/1352458518798147", "access": "restricted", "takeaways": " Current best practice suggests yearly magnetic resonance imaging (MRI) to monitor treatment response in multiple sclerosis patients . Around 26.9% of MRIs with one new T2 lesion were followed by disease-modifying therapy (DMT) change, increasing to 50.2% with six new lesions . DMT change with new MRI lesions occurred most frequently with ‘injectable’ DMTs .", "categories": [] }, { "article_id": 381926, "title": "Breastfeeding is associated with lower risk for multiple sclerosis", "summary": "<jats:sec><jats:title>Background:</jats:title><jats:p> Multiple sclerosis (MS) is an autoimmune disease with known genetic and environmental susceptibility factors. Breastfeeding has been shown to be protective in other autoimmune diseases. </jats:p></jats:sec><jats:sec><jats:title>Objective:</jats:title><jats:p> This case-control study analyzed the association of breastfeeding in infancy on the risk of developing MS. </jats:p></jats:sec><jats:sec><jats:title>Methods:</jats:title><jats:p> A case-control study was performed in Berlin of 245 MS patients and 296 population-based controls, who completed a standardized questionnaire on their history and duration of breastfeeding in infancy and demographic characteristics. Univariable and multivariable logistic regression analysis was performed to investigate the association between breastfeeding and MS. The multivariate model was adjusted for age, gender, number of older siblings, number of inhabitants in place of domicile between ages 0 and 6 (categorized in each case), and daycare attendance between ages 0 and 3. </jats:p></jats:sec><jats:sec><jats:title>Results:</jats:title><jats:p> In multivariable analysis, breastfeeding showed an independent association with MS (adjusted OR 0.58; p = 0.028). However, with no breastfeeding as reference, the protective effect only emerges after four months of breastfeeding (multivariable analysis for ≤ four months adjusted OR 0.87; p = 0.614 and for > four months OR 0.51; p = 0.016). </jats:p></jats:sec><jats:sec><jats:title>Conclusion:</jats:title><jats:p> The results of this case-control study support the hypothesis that breastfeeding is associated with a lower risk of MS. These results are in line with findings of previous studies on other autoimmune diseases, in which breastfeeding was shown to have protective effects. </jats:p></jats:sec>", "link": "https://journals.sagepub.com/doi/full/10.1177/1352458513489759", "published_date": "2012-09-04T00:00:00Z", "sources": [ "SAGE Publications" ], "teams": [ { "id": 1, "name": "Team Gregory" } ], "subjects": [ { "subject_name": "Multiple Sclerosis", "description": null } ], "publisher": "SAGE Publications", "container_title": "Multiple Sclerosis Journal", "authors": [ { "author_id": 301151, "given_name": "Silja", "family_name": "Conradi", "ORCID": null, "country": null }, { "author_id": 301152, "given_name": "Uwe", "family_name": "Malzahn", "ORCID": null, "country": null }, { "author_id": 237109, "given_name": "Friedemann", "family_name": "Paul", "ORCID": "https://orcid.org/0000-0002-6378-0070", "country": "DE" }, { "author_id": 301153, "given_name": "Sabine", "family_name": "Quill", "ORCID": null, "country": null }, { "author_id": 261927, "given_name": "Lutz", "family_name": "Harms", "ORCID": null, "country": null }, { "author_id": 247640, "given_name": "Florian", "family_name": "Then Bergh", "ORCID": null, "country": null }, { "author_id": 301154, "given_name": "Anna", "family_name": "Ditzenbach", "ORCID": null, "country": null }, { "author_id": 301155, "given_name": "Thomas", "family_name": "Georgi", "ORCID": null, "country": null }, { "author_id": 301156, "given_name": "Peter", "family_name": "Heuschmann", "ORCID": null, "country": null }, { "author_id": 261928, "given_name": "Berit", "family_name": "Rosche", "ORCID": null, "country": null } ], "relevant": null, "ml_prediction_gnb": false, "ml_prediction_lr": false, "ml_prediction_lsvc": false, "discovery_date": "2022-05-31T16:16:47.188873Z", "noun_phrases": [ "Breastfeeding", "lower risk", "multiple sclerosis" ], "doi": "10.1177/1352458512459683", "access": "restricted", "takeaways": " Multiple sclerosis (MS) is an autoimmune disease with known genetic and environmental susceptibility factors . Breastfeeding has been shown to be protective in other autoimmune diseases .", "categories": [] }, { "article_id": 381058, "title": "Temperature dependence of multiple sclerosis mortality rates in the United States", "summary": "<jats:sec><jats:title>Background:</jats:title><jats:p> It is well known that multiple sclerosis (MS) patients are very sensitive to heat events. However, how MS patients respond to the significant temperature difference between the high- and low-latitude regions is not understood. </jats:p></jats:sec><jats:sec><jats:title>Objective:</jats:title><jats:p> The goal is to identify the primary factor responsible for the fact that MS mortality rates of the United States is more than three times higher in the northern states than in the southern states. </jats:p></jats:sec><jats:sec><jats:title>Methods:</jats:title><jats:p> Correlation coefficients between the age-adjusted mortality rate of MS as the underlying cause of death and the state average temperature, altitude, latitude, duration of sunshine hours, and solar radiation in the 48 contiguous states were compared. </jats:p></jats:sec><jats:sec><jats:title>Results:</jats:title><jats:p> MS mortality rates correlate significantly and inversely with temperatures in the 48 states (correlation coefficient r = −0.812 and significance p = 0.00). Durations of sunshine hours and solar radiation do not correlate significantly with MS mortality rates ( r = −0.245, −0.14, and p = 0.101, 0.342, respectively). </jats:p></jats:sec><jats:sec><jats:title>Conclusion:</jats:title><jats:p> High environmental temperature is the primary reason for the low MS mortality rates and likely the low MS prevalence in low-latitude regions. Implication of the study result is that benefits of long-term heat acclimation through gradual and prolonged exposure to environmental heat for MS patients may be greatly underappreciated. </jats:p></jats:sec>", "link": "http://journals.sagepub.com/doi/pdf/10.1177/1352458516688954", "published_date": "2017-01-12T00:00:00Z", "sources": [ "SAGE Publications" ], "teams": [ { "id": 1, "name": "Team Gregory" } ], "subjects": [ { "subject_name": "Multiple Sclerosis", "description": null } ], "publisher": "SAGE Publications", "container_title": "Multiple Sclerosis Journal", "authors": [ { "author_id": 293852, "given_name": "Hongbing", "family_name": "Sun", "ORCID": null, "country": null } ], "relevant": null, "ml_prediction_gnb": false, "ml_prediction_lr": false, "ml_prediction_lsvc": false, "discovery_date": "2022-05-31T16:16:47.188873Z", "noun_phrases": [ "Temperature dependence", "multiple sclerosis mortality rates", "the United States" ], "doi": "10.1177/1352458516688954", "access": "restricted", "takeaways": " MS mortality rates of the United States is more than three times higher in the northern states than in the southern states . MS patients respond to significant temperature difference between the high- and low-latitude regions is not understood .", "categories": [] }, { "article_id": 380512, "title": "Teleconsultation will replace most face-to-face interactions in the multiple sclerosis clinic – No", "summary": null, "link": "http://journals.sagepub.com/doi/pdf/10.1177/1352458520968815", "published_date": "2020-12-16T00:00:00Z", "sources": [ "SAGE Publications" ], "teams": [ { "id": 1, "name": "Team Gregory" } ], "subjects": [ { "subject_name": "Multiple Sclerosis", "description": null } ], "publisher": "SAGE Publications", "container_title": "Multiple Sclerosis Journal", "authors": [ { "author_id": 167240, "given_name": "Marcello", "family_name": "Moccia", "ORCID": "http://orcid.org/0000-0003-2613-3090", "country": "IT" } ], "relevant": null, "ml_prediction_gnb": null, "ml_prediction_lr": null, "ml_prediction_lsvc": null, "discovery_date": "2022-05-31T16:16:47.188873Z", "noun_phrases": [ "Teleconsultation", "face", "the multiple sclerosis clinic" ], "doi": "10.1177/1352458520968815", "access": "restricted", "takeaways": null, "categories": [] }, { "article_id": 382098, "title": "Mapping regional grey and white matter atrophy in relapsing–remitting multiple sclerosis", "summary": "<jats:sec><jats:title>Objective:</jats:title><jats:p> We aimed to investigate the regional distribution of grey matter (GM) and white matter (WM) atrophy in patients with relapsing–remitting (RR) MS and their relationship with gender, clinical findings, and T2 lesions. </jats:p></jats:sec><jats:sec><jats:title>Methods:</jats:title><jats:p> Clinical and magnetic resonance imaging assessments were obtained from 78 patients with RRMS and 88 controls. GM and WM atrophy were estimated using voxel-based morphometry (SPM8). </jats:p></jats:sec><jats:sec><jats:title>Results:</jats:title><jats:p> Patients with RRMS experienced atrophy of the deep GM nuclei, and several cortical regions mainly located in the fronto-parietal lobes. WM atrophy involved posterior regions of the brain, including the cerebellum and brainstem. Compared with men, affected women showed atrophy of several WM tracts, while gender did not impact GM atrophy. Disease duration > 5 years was associated with atrophy of the thalami and inferior frontal gyrus, while WM atrophy was already prominent in patients with disease duration ≤ 5 years. Expanded Disability Status Scale score > 3.0 was associated with diffuse WM atrophy and basal ganglia and precentral gyrus atrophy. T2 lesions were marginally associated to focal atrophy. </jats:p></jats:sec><jats:sec><jats:title>Discussion:</jats:title><jats:p> In RRMS, GM and WM atrophy have distinct patterns of regional distribution, with a sparing of GM infratentorial regions. Gender, disease duration and disability affect differently the topography of GM/WM atrophy, while T2 lesions play a modest role. </jats:p></jats:sec>", "link": "https://journals.sagepub.com/doi/full/10.1177/1352458512440349", "published_date": "2012-03-15T00:00:00Z", "sources": [ "SAGE Publications" ], "teams": [ { "id": 1, "name": "Team Gregory" } ], "subjects": [ { "subject_name": "Multiple Sclerosis", "description": null } ], "publisher": "SAGE Publications", "container_title": "Multiple Sclerosis Journal", "authors": [ { "author_id": 153271, "given_name": "Gianna", "family_name": "Riccitelli", "ORCID": "http://orcid.org/0000-0002-1202-5534", "country": null }, { "author_id": 148001, "given_name": "Maria A", "family_name": "Rocca", "ORCID": "http://orcid.org/0000-0003-2358-4320", "country": null }, { "author_id": 161395, "given_name": "Elisabetta", "family_name": "Pagani", "ORCID": "http://orcid.org/0000-0002-1850-1175", "country": null }, { "author_id": 158344, "given_name": "Vittorio", "family_name": "Martinelli", "ORCID": "http://orcid.org/0000-0002-5987-5739", "country": null }, { "author_id": 244469, "given_name": "Marta", "family_name": "Radaelli", "ORCID": null, "country": null }, { "author_id": 241615, "given_name": "Andrea", "family_name": "Falini", "ORCID": null, "country": null }, { "author_id": 149342, "given_name": "Giancarlo", "family_name": "Comi", "ORCID": "http://orcid.org/0000-0002-6989-1054", "country": null }, { "author_id": 143061, "given_name": "Massimo", "family_name": "Filippi", "ORCID": "http://orcid.org/0000-0002-5485-0479", "country": null } ], "relevant": null, "ml_prediction_gnb": false, "ml_prediction_lr": false, "ml_prediction_lsvc": false, "discovery_date": "2022-05-31T16:16:47.188873Z", "noun_phrases": [ "regional grey", "white matter", "multiple sclerosis" ], "doi": "10.1177/1352458512439239", "access": "restricted", "takeaways": " We aimed to investigate the regional distribution of grey matter (GM) and white matter (WM) atrophy in patients with relapsing–remitting (RR) MS and their relationship with gender, clinical findings, and T2 lesions . In RRMS, GM and WM atrophy have distinct patterns of regional distribution, with a sparing of GM infratentorial regions .", "categories": [] }, { "article_id": 381411, "title": "Toward the use of proxy reports for estimating long-term patient-reported outcomes in multiple sclerosis", "summary": "<jats:sec><jats:title>Background:</jats:title><jats:p> Assessment of disease impact in multiple sclerosis (MS) is usually driven by information obtained directly from patients using patient-reported outcomes. However, when patients’ response in longitudinal studies is less reliable or missing, proxy respondents may be used. </jats:p></jats:sec><jats:sec><jats:title>Objective:</jats:title><jats:p> The objective of this paper is to evaluate whether long-term patient scores can be reliably estimated using scores obtained from proxies. </jats:p></jats:sec><jats:sec><jats:title>Methods:</jats:title><jats:p> Baseline, six-month and two-year data were collected from 155 patients and proxies on the physical scale of the Multiple Sclerosis Impact Scale (MSIS-29). Linear regression analyses were performed with the patient two-year scores as outcome, proxy two-year scores as predictor and other variables that could contribute to a better prediction of the patient follow-up score. </jats:p></jats:sec><jats:sec><jats:title>Results:</jats:title><jats:p> The patient follow-up score could be predicted rather accurately ( R<jats:sup>2</jats:sup> = 0.74) using the patient baseline score and the proxy follow-up score. The correlation between observed and predicted scores was 0.86. The model performed well in different follow-up durations and even better in an external cohort. </jats:p></jats:sec><jats:sec><jats:title>Conclusion:</jats:title><jats:p> A simple model of a constant value (intercept), the patient baseline score and the proxy follow-up score can predict patients’ follow-up score on the physical impact of MS. </jats:p></jats:sec>", "link": "http://journals.sagepub.com/doi/pdf/10.1177/1352458514544078", "published_date": "2014-09-25T00:00:00Z", "sources": [ "SAGE Publications" ], "teams": [ { "id": 1, "name": "Team Gregory" } ], "subjects": [ { "subject_name": "Multiple Sclerosis", "description": null } ], "publisher": "SAGE Publications", "container_title": "Multiple Sclerosis Journal", "authors": [ { "author_id": 268451, "given_name": "Judith M", "family_name": "Sonder", "ORCID": null, "country": null }, { "author_id": 211529, "given_name": "Lisanne J", "family_name": "Balk", "ORCID": "http://orcid.org/0000-0002-3915-0052", "country": null }, { "author_id": 274492, "given_name": "Femke AH", "family_name": "van der Linden", "ORCID": null, "country": null }, { "author_id": 273125, "given_name": "Libertje VAE", "family_name": "Bosma", "ORCID": null, "country": null }, { "author_id": 243479, "given_name": "Chris H", "family_name": "Polman", "ORCID": null, "country": null }, { "author_id": 244952, "given_name": "Bernard MJ", "family_name": "Uitdehaag", "ORCID": null, "country": null } ], "relevant": null, "ml_prediction_gnb": false, "ml_prediction_lr": false, "ml_prediction_lsvc": false, "discovery_date": "2022-05-31T16:16:47.188873Z", "noun_phrases": [ "the use", "proxy reports", "long-term patient-reported outcomes", "multiple sclerosis" ], "doi": "10.1177/1352458514544078", "access": "restricted", "takeaways": " Baseline, six-month and two-year data were collected from 155 patients and proxies on the MSIS-29 scale . The correlation between observed and predicted scores was 0.86 . The model performed well in different follow-up durations and even better in an external cohort .", "categories": [] } ] }