Sökning: onr:"swepub:oai:DiVA.org:su-160295" > EULAR/ACR classific...
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001 | oai:DiVA.org:su-160295 | |
003 | SwePub | |
008 | 180917s2017 | |||||||||||000 ||eng| | |
009 | oai:prod.swepub.kib.ki.se:229177080 | |
024 | 7 | a https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-1602952 URI |
024 | 7 | a https://doi.org/10.1136/rmdopen-2017-0005072 DOI |
024 | 7 | a http://kipublications.ki.se/Default.aspx?queryparsed=id:2291770802 URI |
040 | a (SwePub)sud (SwePub)ki | |
041 | a engb eng | |
042 | 9 SwePub | |
072 | 7 | a ref2 swepub-contenttype |
072 | 7 | a art2 swepub-publicationtype |
100 | 1 | a Bottai, Matteou Karolinska Institutet4 aut |
245 | 1 0 | a EULAR/ACR classification criteria for adult and juvenile idiopathic inflammatory myopathies and their major subgroups :b a methodology report |
264 | c 2017-11-14 | |
264 | 1 | b BMJ,c 2017 |
338 | a print2 rdacarrier | |
520 | a Objective To describe the methodology used to develop new classification criteria for adult and juvenile idiopathic inflammatory myopathies (IIMs) and their major subgroups.Methods An international, multidisciplinary group of myositis experts produced a set of 93 potentially relevant variables to be tested for inclusion in the criteria. Rheumatology, dermatology, neurology and paediatric clinics worldwide collected data on 976 IIM cases (74% adults, 26% children) and 624 non-IIM comparator cases with mimicking conditions (82% adults, 18% children). The participating clinicians classified each case as IIM or non-IIM. Generally, the classification of any given patient was based on few variables, leaving remaining variables unmeasured. We investigated the strength of the association between all variables and between these and the disease status as determined by the physician. We considered three approaches: (1) a probability-score approach, (2) a sum-of-items approach criteria and (3) a classification-tree approach.Results The approaches yielded several candidate models that were scrutinised with respect to statistical performance and clinical relevance. The probability-score approach showed superior statistical performance and clinical practicability and was therefore preferred over the others. We developed a classification tree for subclassification of patients with IIM. A calculator for electronic devices, such as computers and smartphones, facilitates the use of the European League Against Rheumatism/American College of Rheumatology (EULAR/ACR) classification criteria.Conclusions The new EULAR/ACR classification criteria provide a patient's probability of having IIM for use in clinical and research settings. The probability is based on a score obtained by summing the weights associated with a set of criteria items. | |
650 | 7 | a MEDICIN OCH HÄLSOVETENSKAPx Klinisk medicinx Reumatologi och inflammation0 (SwePub)302102 hsv//swe |
650 | 7 | a MEDICAL AND HEALTH SCIENCESx Clinical Medicinex Rheumatology and Autoimmunity0 (SwePub)302102 hsv//eng |
700 | 1 | a Tjärnlund, Anna4 aut |
700 | 1 | a Santoni, Giolau Karolinska Institutet,Stockholms universitet,Centrum för forskning om äldre och åldrande (ARC), (tills m KI)4 aut |
700 | 1 | a Werth, Victoria P.4 aut |
700 | 1 | a Pilkington, Clarissa4 aut |
700 | 1 | a de Visser, Marianne4 aut |
700 | 1 | a Alfredsson, Larsu Karolinska Institutet4 aut |
700 | 1 | a Amato, Anthony A.4 aut |
700 | 1 | a Barohn, Richard J.4 aut |
700 | 1 | a Liang, Matthew H.4 aut |
700 | 1 | a Singh, Jasvinder A.u Karolinska Institutet4 aut |
700 | 1 | a Aggarwal, Rohit4 aut |
700 | 1 | a Arnardottir, Snjolaug4 aut |
700 | 1 | a Chinoy, Hector4 aut |
700 | 1 | a Cooper, Robert G.4 aut |
700 | 1 | a Danko, Katalin4 aut |
700 | 1 | a Dimachkie, Mazen M.4 aut |
700 | 1 | a Feldman, Brian M.4 aut |
700 | 1 | a García-De La Torre, Ignacio4 aut |
700 | 1 | a Gordon, Patrick4 aut |
700 | 1 | a Hayashi, Taichi4 aut |
700 | 1 | a Katz, James D.4 aut |
700 | 1 | a Kohsaka, Hitoshi4 aut |
700 | 1 | a Lachenbruch, Peter A.4 aut |
700 | 1 | a Lang, Bianca A.4 aut |
700 | 1 | a Li, Yuhui4 aut |
700 | 1 | a Oddis, Chester V.4 aut |
700 | 1 | a Olesinka, Marzena4 aut |
700 | 1 | a Reed, Ann M.4 aut |
700 | 1 | a Rutkowska-Sak, Lidia4 aut |
700 | 1 | a Sanner, Helga4 aut |
700 | 1 | a Selva-O'Callaghan, Albert4 aut |
700 | 1 | a Song, Yeong Wook4 aut |
700 | 1 | a Vencovsky, Jiri4 aut |
700 | 1 | a Ytterberg, Steven R.4 aut |
700 | 1 | a Miller, Frederick W.4 aut |
700 | 1 | a Rider, Lisa G.4 aut |
700 | 1 | a Lundberg, Ingrid E.u Karolinska Institutet4 aut |
710 | 2 | a Karolinska Institutetb Centrum för forskning om äldre och åldrande (ARC), (tills m KI)4 org |
773 | 0 | t RMD Opend : BMJg 3:2q 3:2x 2056-5933 |
856 | 4 | u https://doi.org/10.1136/rmdopen-2017-000507y Fulltext |
856 | 4 | u https://rmdopen.bmj.com/content/rmdopen/3/2/e000507.full.pdf |
856 | 4 8 | u https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-160295 |
856 | 4 8 | u https://doi.org/10.1136/rmdopen-2017-000507 |
856 | 4 8 | u http://kipublications.ki.se/Default.aspx?queryparsed=id:229177080 |
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