{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,27]],"date-time":"2026-10-27T08:18:28Z","timestamp":1793089108237,"version":"4.5.0"},"reference-count":13,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2021,6,26]],"date-time":"2021-06-26T00:00:00Z","timestamp":1624665600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2021,6,26]],"date-time":"2021-06-26T00:00:00Z","timestamp":1624665600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Patient Rep Outcomes"],"published-print":{"date-parts":[[2021,12]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>The objectives were: 1) to explore the discordance between the Patient Global Health Assessment (PtGA) scores, the Physician Global Health Assessment (PhGA) scores, and Pain scores; and 2) to explore whether the PtGA during disease remission is associated with future disease flare in pJIA.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      Data from an NIH funded clinical trial (NCT00792233) evaluating flare were used (\n                      <jats:italic>N<\/jats:italic>\n                      \u2009=\u2009137). PtGA, PhGA, and Pain scores were assessed. Flare was defined as any active arthritis. Spearman\u2019s correlation coefficients were calculated, and multivariable logistic regression was performed.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      122 patients had records of flare status, of which 63 developed flare, and 42 of these patients had a visit immediately prior to flare. For study subjects with a visit immediately prior to flare, the PtGA, pain scores, and PhGA all increased at time of flare. For every unit increase in PtGA and Pain scores, there was a 9% and 23% higher odds of developing flare, respectively (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.76,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.40). For every unit increase in the PhGA score, there was a substantially lower odds of developing flare (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.05).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Our results demonstrate that the PtGA and Pain scores are strongly correlated with each other and increased at the visit prior to flare, while the PhGA scores are not. Further, the PtGA and Pain score have some predictive value for flare, while the PhGA does not. These findings highlight the value of patient input in medical care and decision-making, and support the development and use of more sophisticated PROs in the care of JIA patients.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1186\/s41687-021-00328-8","type":"journal-article","created":{"date-parts":[[2021,6,26]],"date-time":"2021-06-26T17:15:48Z","timestamp":1624727748000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["The value of the patient global health assessment in polyarticular juvenile idiopathic arthritis: a nested cohort study"],"prefix":"10.1186","volume":"5","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8634-9443","authenticated-orcid":false,"given":"Rebecca","family":"Trachtman","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rula","family":"Issa","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stephanie","family":"Pan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Karen M.","family":"Wilson","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Daniel J.","family":"Lovell","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Karen B.","family":"Onel","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2021,6,26]]},"reference":[{"issue":"2","key":"328_CR1","doi-asserted-by":"publisher","first-page":"112","DOI":"10.1016\/j.jbspin.2013.09.003","volume":"81","author":"S Thierry","year":"2014","unstructured":"Thierry, S., Fautrel, B., Lemelle, I., & Guillemin, F. (2014). Prevalence and incidence of juvenile idiopathic arthritis: A systematic review. Joint, Bone, Spine, 81(2), 112\u2013117. https:\/\/doi.org\/10.1016\/j.jbspin.2013.09.003.","journal-title":"Joint, Bone, Spine"},{"key":"328_CR2","unstructured":"Petty, R. E., Laxer, R. M., Lindsley, C. B., & Wedderburn, L. B. (2015). Textbook of Pediatric Rheumatology E-Book. Elsevier Health Sciences."},{"issue":"5","key":"328_CR3","doi-asserted-by":"publisher","first-page":"658","DOI":"10.1002\/art.24516","volume":"61","author":"A Consolaro","year":"2009","unstructured":"Consolaro, A., Ruperto, N., Bazso, A., Pistorio, A., Magni-Manzoni, S., Filocamo, G., \u2026 Paediatric Rheumatology International Trials Organisation (2009). Development and validation of a composite disease activity score for juvenile idiopathic arthritis. Arthritis and Rheumatism, 61(5), 658\u2013666. https:\/\/doi.org\/10.1002\/art.24516.","journal-title":"Arthritis and Rheumatism"},{"issue":"11","key":"328_CR4","doi-asserted-by":"publisher","first-page":"2260","DOI":"10.3899\/jrheum.131536","volume":"41","author":"J Guzman","year":"2014","unstructured":"Guzman, J., Gomez-Ramirez, O., Jurencak, R., Shiff, N. J., Berard, R. A., Duffy, C. M., et al. (2014). What matters Most for patients, parents, and clinicians in the course of juvenile idiopathic arthritis? A qualitative study. The Journal of Rheumatology, 41(11), 2260\u20132269. https:\/\/doi.org\/10.3899\/jrheum.131536.","journal-title":"The Journal of Rheumatology"},{"issue":"3","key":"328_CR5","doi-asserted-by":"publisher","first-page":"393","DOI":"10.1002\/acr.22937","volume":"69","author":"TG Brandon","year":"2017","unstructured":"Brandon, T. G., Becker, B. G., Bevans, K. B., & Weiss, P. F. (2017). 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The correlation between the childhood health assessment questionnaire and disease activity in juvenile idiopathic arthritis. Musculoskeletal Care, 16(3), 339\u2013344. https:\/\/doi.org\/10.1002\/msc.1239.","journal-title":"Musculoskeletal Care"},{"key":"328_CR8","doi-asserted-by":"publisher","unstructured":"Trachtman, R., Wang, C. M., Murray, E. T., Szymonifka, J., Pan, N., Adams, A. B., et al. (2019). PROMIS Computer Adaptive Tests and Their Correlation With Disease Activity in Juvenile Idiopathic Arthritis. Journal of Clinical Rheumatology, 27(4), 131\u2013135. https:\/\/doi.org\/10.1097\/RHU.0000000000001171.","DOI":"10.1097\/RHU.0000000000001171"},{"issue":"1","key":"328_CR9","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1186\/s12969-020-00481-2","volume":"18","author":"LE Lunt","year":"2020","unstructured":"Lunt, L. E., Shoop-Worrall, S., Smith, N., Cleary, G., McDonagh, J., Smith, A. D., \u2026 McErlane, F. (2020). 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