{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T12:11:33Z","timestamp":1790856693589,"version":"4.1.0"},"reference-count":51,"publisher":"Elsevier BV","issue":"6","license":[{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Autoimmunity Reviews"],"published-print":{"date-parts":[[2022,6]]},"DOI":"10.1016\/j.autrev.2022.103105","type":"journal-article","created":{"date-parts":[[2022,4,19]],"date-time":"2022-04-19T13:07:49Z","timestamp":1650373669000},"page":"103105","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":36,"title":["A machine learning analysis to predict the response to intravenous and subcutaneous immunoglobulin in inflammatory myopathies. A proposal for a future multi-omics approach in autoimmune diseases"],"prefix":"10.1016","volume":"21","author":[{"given":"Maria Giovanna","family":"Danieli","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alessandro","family":"Tonacci","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alberto","family":"Paladini","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eleonora","family":"Longhi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gianluca","family":"Moroncini","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alessandro","family":"Allegra","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Francesco","family":"Sansone","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sebastiano","family":"Gangemi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"18","key":"10.1016\/j.autrev.2022.103105_bb0005","doi-asserted-by":"crossref","first-page":"1734","DOI":"10.1056\/NEJMra1402225","article-title":"Inflammatory muscle diseases","volume":"372","author":"Dalakas","year":"2015","journal-title":"N Engl J Med"},{"issue":"5","key":"10.1016\/j.autrev.2022.103105_bb0010","doi-asserted-by":"crossref","first-page":"269","DOI":"10.1038\/nrrheum.2018.41","article-title":"Classification of myositis","volume":"14","author":"Lundberg","year":"2018","journal-title":"Nat Rev Rheumatol"},{"key":"10.1016\/j.autrev.2022.103105_bb0015","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1136\/annrheumdis-2017-211868","article-title":"The EuroMyositis registry: an international collaborative tool to facilitate myositis research","volume":"77","author":"Lilleker","year":"2018","journal-title":"Ann Rheum Dis"},{"issue":"5","key":"10.1016\/j.autrev.2022.103105_bb0020","doi-asserted-by":"crossref","DOI":"10.1016\/j.autrev.2020.102508","article-title":"Precision health: a pragmatic approach to understanding and addressing key factors in autoimmune diseases","volume":"19","author":"Conrad","year":"2020","journal-title":"Autoimmun Rev"},{"issue":"10","key":"10.1016\/j.autrev.2022.103105_bb0025","doi-asserted-by":"crossref","first-page":"1880","DOI":"10.3390\/diagnostics11101880","article-title":"A machine learning application to predict early lung involvement in scleroderma: a feasibility evaluation","volume":"11","author":"Murdaca","year":"2021","journal-title":"Diagnostics (Basel)"},{"issue":"6","key":"10.1016\/j.autrev.2022.103105_bb0030","doi-asserted-by":"crossref","first-page":"940","DOI":"10.3390\/diagnostics11060940","article-title":"Vitamin D and folate as predictors of MMSE in Alzheimer\u2019s disease: a machine learning analysis","volume":"11","author":"Murdaca","year":"2021","journal-title":"Diagnostics (Basel)"},{"issue":"1","key":"10.1016\/j.autrev.2022.103105_bb0035","doi-asserted-by":"crossref","first-page":"1220","DOI":"10.1038\/s41467-022-28905-5","article-title":"Autoantibodies targeting GPCRs and RAS-related molecules associate with COVID-19 severity","volume":"13","author":"Cabral-Marques","year":"2022","journal-title":"Nat Commun"},{"key":"10.1016\/j.autrev.2022.103105_bb0040","doi-asserted-by":"crossref","first-page":"344","DOI":"10.1056\/NEJM197502132920706","article-title":"Polymyositis and dermatomyositis","volume":"292","author":"Bohan","year":"1975","journal-title":"N Engl J Med"},{"key":"10.1016\/j.autrev.2022.103105_bb0045","doi-asserted-by":"crossref","first-page":"1955","DOI":"10.1136\/annrheumdis-2017-211468","volume":"76","author":"Lundberg","year":"2017","journal-title":"Ann Rheum Dis"},{"key":"10.1016\/j.autrev.2022.103105_bb0050","doi-asserted-by":"crossref","first-page":"983","DOI":"10.1016\/j.autrev.2016.07.023","article-title":"Anti-HMGCR antibodies as a biomarker for immune-mediated necrotizing myopathies: a history of statins and experience from a large international multi-center study","volume":"15","author":"Musset","year":"2016","journal-title":"Autoimmun Rev"},{"issue":"Suppl. 11","key":"10.1016\/j.autrev.2022.103105_bb0055","first-page":"S118","volume":"63","author":"Rider","year":"2011","journal-title":"Arthritis Care Res (Hoboken)"},{"issue":"6","key":"10.1016\/j.autrev.2022.103105_bb0060","doi-asserted-by":"crossref","first-page":"815","DOI":"10.3899\/jrheum.161311","article-title":"Subclinical cardiac dysfunction in polymyositis and dermatomyositis: a speckle-tracking case-control study","volume":"44","author":"Guerra","year":"2017","journal-title":"J Rheumatol"},{"issue":"3","key":"10.1016\/j.autrev.2022.103105_bb0065","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1007\/PL00009595","article-title":"The dysphagia outcome and severity scale","volume":"14","author":"O\u2019Neil","year":"1999","journal-title":"Dysphagia"},{"key":"10.1016\/j.autrev.2022.103105_bb0070","first-page":"2230","article-title":"Polymyositis and dermatomyositis: short term and long-term outcome, and predictive factors of prognosis","volume":"28","author":"Marie","year":"2001","journal-title":"J Rheumatol"},{"issue":"3","key":"10.1016\/j.autrev.2022.103105_bb0075","doi-asserted-by":"crossref","first-page":"144","DOI":"10.1016\/j.autrev.2010.09.004","article-title":"Subcutaneous immunoglobulin in polymyositis and dermatomyositis: a novel application","volume":"10","author":"Danieli","year":"2011","journal-title":"Autoimmun Rev"},{"issue":"1","key":"10.1016\/j.autrev.2022.103105_bb0080","doi-asserted-by":"crossref","first-page":"73","DOI":"10.1177\/0394632016681577","article-title":"Shift from intravenous or 16% subcutaneous replacement therapy to 20% subcutaneous immunoglobulin in patients with primary antibody deficiencies","volume":"30","author":"Canessa","year":"2017","journal-title":"Int J Immunopathol Pharmacol"},{"issue":"5","key":"10.1016\/j.autrev.2022.103105_bb0085","doi-asserted-by":"crossref","first-page":"303","DOI":"10.1038\/nrrheum.2018.33","article-title":"Update on outcome assessment in myositis","volume":"14","author":"Rider","year":"2018","journal-title":"Nat Rev Rheumatol"},{"key":"10.1016\/j.autrev.2022.103105_bb0090","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1111\/j.2517-6161.1996.tb02080.x","article-title":"Regression shrinkage and selection via the Lasso","volume":"58","author":"Tibshirani","year":"1996","journal-title":"J R Stat Soc Series B"},{"issue":"1\u20132","key":"10.1016\/j.autrev.2022.103105_bb0095","doi-asserted-by":"crossref","first-page":"161","DOI":"10.1016\/S0169-7439(98)00071-9","article-title":"Data augmentation: an alternative approach to the analysis of spectroscopic data","volume":"44","author":"Conlin","year":"1998","journal-title":"Chemom Intel Lab Syst"},{"issue":"1","key":"10.1016\/j.autrev.2022.103105_bb0100","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1186\/s13040-021-00283-6","article-title":"Gaussian noise up-sampling is better suited than SMOTE and ADASYN for clinical decision making","volume":"14","author":"Beinecke","year":"2021","journal-title":"BioData Min"},{"issue":"5","key":"10.1016\/j.autrev.2022.103105_bb0105","doi-asserted-by":"crossref","first-page":"584","DOI":"10.1016\/j.cmi.2019.09.009","article-title":"Machine learning for clinical decision support in infectious diseases: a narrative review of current applications","volume":"26","author":"Peiffer-Smadja","year":"2020","journal-title":"Clin Microbiol Infect"},{"key":"10.1016\/j.autrev.2022.103105_bb0110","doi-asserted-by":"crossref","first-page":"116","DOI":"10.1109\/RBME.2020.3007816","article-title":"Machine learning for clinical outcome prediction","volume":"14","author":"Shamout","year":"2021","journal-title":"IEEE Rev Biomed Eng"},{"issue":"5","key":"10.1016\/j.autrev.2022.103105_bb0115","doi-asserted-by":"crossref","first-page":"1263","DOI":"10.1161\/STROKEAHA.118.024293","article-title":"Machine learning-based model for prediction of outcomes in acute stroke","volume":"50","author":"Heo","year":"2019","journal-title":"Stroke"},{"issue":"3","key":"10.1016\/j.autrev.2022.103105_bb0120","doi-asserted-by":"crossref","first-page":"398","DOI":"10.1111\/tri.13818","article-title":"Machine learning in liver transplantation: a tool for some unsolved questions?","volume":"34","author":"Ferrarese","year":"2021","journal-title":"Transpl Int"},{"key":"10.1016\/j.autrev.2022.103105_bb0125","first-page":"7","article-title":"Regularization methods for fitting linear models with small sample sizes: fitting the Lasso estimator using R","volume":"21","author":"Finch","year":"2016","journal-title":"Pract Assess Res Eval"},{"key":"10.1016\/j.autrev.2022.103105_bb0130","doi-asserted-by":"crossref","DOI":"10.1177\/1759720X20936822","article-title":"Prognostic factors for steroid-free remission in patients with idiopathic inflammatory myopathies: importance of anthropometric measurements","volume":"12","author":"Lee","year":"2020","journal-title":"Ther Adv Musculoskelet Dis"},{"issue":"6","key":"10.1016\/j.autrev.2022.103105_bb0135","doi-asserted-by":"crossref","first-page":"874","DOI":"10.1002\/mus.27225","article-title":"Predictors, outcome and characteristics of oropharyngeal dysphagia in idiopathic inflammatory myopathy","volume":"63","author":"Labeit","year":"2021","journal-title":"Muscle Nerve"},{"issue":"4","key":"10.1016\/j.autrev.2022.103105_bb0140","doi-asserted-by":"crossref","first-page":"336","DOI":"10.3109\/03009740903555366","article-title":"Comparison between swallowing-related and limb muscle involvement in dermatomyositis patients","volume":"39","author":"Kim","year":"2010","journal-title":"Scand J Rheumatol"},{"issue":"8","key":"10.1016\/j.autrev.2022.103105_bb0145","doi-asserted-by":"crossref","first-page":"1363","DOI":"10.1093\/rheumatology\/kem131","article-title":"Oropharyngeal dysphagia in juvenile dermatomyositis (JDM): an evaluation of videofluoroscopy swallow study (VFSS) changes in relation to clinical symptoms and objective muscle scores","volume":"46","author":"McCann","year":"2007","journal-title":"Rheumatology"},{"issue":"27","key":"10.1016\/j.autrev.2022.103105_bb0150","doi-asserted-by":"crossref","first-page":"1993","DOI":"10.1056\/NEJM199312303292704","article-title":"A controlled trial of high-dose intravenous immune globulin infusions as treatment for dermatomyositis","volume":"329","author":"Dalakas","year":"1993","journal-title":"N Engl J Med"},{"issue":"12","key":"10.1016\/j.autrev.2022.103105_bb0155","doi-asserted-by":"crossref","first-page":"1748","DOI":"10.1002\/acr.20325","article-title":"Intravenous immunoglobulins for steroid-refractory esophageal involvement related to polymyositis and dermatomyositis: a series of 73 patients","volume":"62","author":"Marie","year":"2010","journal-title":"Arthritis Care Res (Hoboken)"},{"issue":"5","key":"10.1016\/j.autrev.2022.103105_bb0160","doi-asserted-by":"crossref","first-page":"R149","DOI":"10.1186\/ar4332","article-title":"Functional outcome and prognostic factors in anti-Jo1 patients with antisynthetase syndrome","volume":"15","author":"Marie","year":"2013","journal-title":"Arthritis Res Ther"},{"issue":"2","key":"10.1016\/j.autrev.2022.103105_bb0165","doi-asserted-by":"crossref","DOI":"10.1016\/j.autrev.2021.102997","article-title":"Efficacy and safety of intravenous and subcutaneous immunoglobulin therapy in idiopathic inflammatory myopathy: a systematic review and meta-analysis","volume":"21","author":"Goswami","year":"2022","journal-title":"Autoimmun Rev"},{"issue":"3","key":"10.1016\/j.autrev.2022.103105_bb0170","doi-asserted-by":"crossref","first-page":"1234","DOI":"10.1093\/rheumatology\/keaa443","article-title":"Long-term efficacy of adding intravenous immunoglobulins as treatment of refractory dysphagia related to myositis: a retrospective analysis","volume":"60","author":"Giannini","year":"2021","journal-title":"Rheumatology (Oxford)"},{"key":"10.1016\/j.autrev.2022.103105_bb0175","doi-asserted-by":"crossref","first-page":"275","DOI":"10.1007\/s11926-012-0249-3","article-title":"Morbidity and mortality in adult polymyositis and dermatomyositis","volume":"14","author":"Marie","year":"2012","journal-title":"Curr Rheumatol Rep"},{"issue":"3","key":"10.1016\/j.autrev.2022.103105_bb0180","doi-asserted-by":"crossref","DOI":"10.1016\/j.autrev.2021.102757","article-title":"Real life picture of the use of intravenous immunoglobulins in idiopathic inflammatory myopathies: results of a multicentric study","volume":"20","author":"Barsotti","year":"2021","journal-title":"Autoimmun Rev"},{"key":"10.1016\/j.autrev.2022.103105_bb0185","doi-asserted-by":"crossref","first-page":"906","DOI":"10.1111\/ced.13607","article-title":"Intravenous immunoglobulin is an effective treatment for refractory cutaneous dermatomyositis","volume":"43","author":"Galimberti","year":"2018","journal-title":"Clin Exp Dermatol"},{"key":"10.1016\/j.autrev.2022.103105_bb0190","doi-asserted-by":"crossref","DOI":"10.3389\/fimmu.2021.805705","article-title":"Replacement and immunomodulatory activities of 20% subcutaneous immunoglobulin treatment: a single-center retrospective study in autoimmune myositis and CVID patients","volume":"12","author":"Danieli","year":"2022","journal-title":"Front Immunol"},{"issue":"1","key":"10.1016\/j.autrev.2022.103105_bb0195","doi-asserted-by":"crossref","first-page":"58","DOI":"10.4103\/0028-3886.60398","article-title":"Effect of early treatment in polymyositis and dermatomyositis","volume":"58","author":"Naji","year":"2010","journal-title":"Neurol India"},{"issue":"1","key":"10.1016\/j.autrev.2022.103105_bb0200","doi-asserted-by":"crossref","first-page":"R22","DOI":"10.1186\/ar3704","article-title":"Predictors of survival in a cohort of patients with polymyositis and dermatomyositis: effect of corticosteroids, methotrexate and azathioprine","volume":"14","author":"Schiopu","year":"2012","journal-title":"Arthritis Res Ther"},{"key":"10.1016\/j.autrev.2022.103105_bb0205","article-title":"Long-term effects of early pulse methylprednisolone and intravenous immunoglobulin in patients with dermatomyositis and polymyositis","author":"Hoff","year":"2021","journal-title":"Rheumatology (Oxford)"},{"issue":"2","key":"10.1016\/j.autrev.2022.103105_bb0210","doi-asserted-by":"crossref","first-page":"467","DOI":"10.1002\/art.10053","article-title":"Results and long-term followup of intravenous immunoglobulin infusions in chronic, refractory polymyositis: an open study with thirty-five adult patients","volume":"46","author":"Cherin","year":"2002","journal-title":"Arthritis Rheum"},{"issue":"1","key":"10.1016\/j.autrev.2022.103105_bb0215","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1093\/rheumatology\/41.1.22","article-title":"Outcome in patients with idiopathic inflammatory myositis: morbidity and mortality","volume":"41","author":"Sultan","year":"2002","journal-title":"Rheumatology (Oxford)"},{"issue":"11","key":"10.1016\/j.autrev.2022.103105_bb0220","doi-asserted-by":"crossref","first-page":"3425","DOI":"10.1002\/art.24904","article-title":"IMACS group. Damage extent and predictors in adult and juvenile dermatomyositis and polymyositis as determined with the myositis damage index","volume":"60","author":"Rider","year":"2009","journal-title":"Arthritis Rheum"},{"issue":"1","key":"10.1016\/j.autrev.2022.103105_bb0225","doi-asserted-by":"crossref","first-page":"9821","DOI":"10.1038\/s41598-021-89311-3","article-title":"Texture analysis of muscle MRI: machine learning-based classifications in idiopathic inflammatory myopathies","volume":"11","author":"Nagawa","year":"2021","journal-title":"Sci Rep"},{"issue":"3","key":"10.1016\/j.autrev.2022.103105_bb0230","doi-asserted-by":"crossref","first-page":"283","DOI":"10.18383\/j.tom.2019.00009","article-title":"Differentiation of myositis-induced models of bacterial infection and inflammation with T2-weighted, CEST, and DCE-MRI","volume":"5","author":"Goldenberg","year":"2019","journal-title":"Tomography"},{"issue":"1","key":"10.1016\/j.autrev.2022.103105_bb0235","doi-asserted-by":"crossref","first-page":"17070","DOI":"10.1038\/s41598-021-96292-w","article-title":"A novel CT scoring method predicts the prognosis of interstitial lung disease associated with anti-MDA5 positive dermatomyositis","volume":"11","author":"Xu","year":"2021","journal-title":"Sci Rep"},{"issue":"3.4","key":"10.1016\/j.autrev.2022.103105_bb0240","doi-asserted-by":"crossref","first-page":"237","DOI":"10.2152\/jmi.66.237","article-title":"Texture analysis of sonographic muscle images can distinguish myopathic conditions","volume":"66","author":"Nodera","year":"2019","journal-title":"J Med Invest"},{"issue":"8","key":"10.1016\/j.autrev.2022.103105_bb0245","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0184059","article-title":"Automated diagnosis of myositis from muscle ultrasound: exploring the use of machine learning and deep learning methods","volume":"12","author":"Burlina","year":"2017","journal-title":"PLoS One"},{"key":"10.1016\/j.autrev.2022.103105_bb0250","article-title":"Deep convolutional neural network-based algorithm for muscle biopsy diagnosis","author":"Kabeya","year":"2021","journal-title":"Lab Invest"},{"issue":"9","key":"10.1016\/j.autrev.2022.103105_bb0255","doi-asserted-by":"crossref","first-page":"1234","DOI":"10.1136\/annrheumdis-2019-216599","article-title":"Machine learning algorithms reveal unique gene expression profiles in muscle biopsies from patients with different types of myositis","volume":"79","author":"Pinal-Fernandez","year":"2020","journal-title":"Ann Rheum Dis"}],"container-title":["Autoimmunity Reviews"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1568997222000751?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1568997222000751?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,10,27]],"date-time":"2025-10-27T21:24:56Z","timestamp":1761600296000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1568997222000751"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6]]},"references-count":51,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2022,6]]}},"alternative-id":["S1568997222000751"],"URL":"https:\/\/doi.org\/10.1016\/j.autrev.2022.103105","relation":{},"ISSN":["1568-9972"],"issn-type":[{"value":"1568-9972","type":"print"}],"subject":[],"published":{"date-parts":[[2022,6]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"A machine learning analysis to predict the response to intravenous and subcutaneous immunoglobulin in inflammatory myopathies. A proposal for a future multi-omics approach in autoimmune diseases","name":"articletitle","label":"Article Title"},{"value":"Autoimmunity Reviews","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.autrev.2022.103105","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2022 Elsevier B.V. All rights reserved.","name":"copyright","label":"Copyright"}],"article-number":"103105"}}