Nearly 20% of children are not correctly classified according to current ilar classification in a PRINTO dataset of more than 12,000 juvenile idiopathic arthritis patients

Alessandro Consolaro; Francesca Bovis; Ekaterina Alexeeva; Violeta Panaviene; Jordi Anton; Susan Nielsen; Gordana Susic; Maria Trachana; Troels Herlin; Nico Wulffraat; Pavla Dolezalova; Yosef Uziel; Nahid Shafaie; Ingrida Rumba-Rozenfelde; Valda Stanevicha; Nicolino Ruperto; Daniel Lovell; Angelo Ravelli; Alberto Martini

doi:10.1186/1546-0096-12-S1-P176

Nearly 20% of children are not correctly classified according to current ilar classification in a PRINTO dataset of more than 12,000 juvenile idiopathic arthritis patients

Alessandro Consolaro, Francesca Bovis, Ekaterina Alexeeva, Violeta Panaviene, Jordi Anton, Susan Nielsen, Gordana Susic, Maria Trachana, Troels Herlin, Nico Wulffraat, Pavla Dolezalova, Yosef Uziel, Nahid Shafaie, Ingrida Rumba-Rozenfelde, Valda Stanevicha, Nicolino Ruperto, Daniel Lovell, Angelo Ravelli, Alberto Martini

Istituto "Giannina Gaslini"

Research output: Contribution to journal › Article

Original language	English
Article number	P176
Pages (from-to)	1-2
Number of pages	2
Journal	Pediatric Rheumatology
Volume	12
DOIs	https://doi.org/10.1186/1546-0096-12-S1-P176
Publication status	Published - Sep 17 2014

ASJC Scopus subject areas

Rheumatology
Immunology and Allergy
Pediatrics, Perinatology, and Child Health

Cite this

Consolaro, A., Bovis, F., Alexeeva, E., Panaviene, V., Anton, J., Nielsen, S., Susic, G., Trachana, M., Herlin, T., Wulffraat, N., Dolezalova, P., Uziel, Y., Shafaie, N., Rumba-Rozenfelde, I., Stanevicha, V., Ruperto, N., Lovell, D., Ravelli, A., & Martini, A. (2014). Nearly 20% of children are not correctly classified according to current ilar classification in a PRINTO dataset of more than 12,000 juvenile idiopathic arthritis patients. Pediatric Rheumatology, 12, 1-2. [P176]. https://doi.org/10.1186/1546-0096-12-S1-P176

Nearly 20% of children are not correctly classified according to current ilar classification in a PRINTO dataset of more than 12,000 juvenile idiopathic arthritis patients. / Consolaro, Alessandro; Bovis, Francesca; Alexeeva, Ekaterina; Panaviene, Violeta; Anton, Jordi; Nielsen, Susan; Susic, Gordana; Trachana, Maria; Herlin, Troels; Wulffraat, Nico; Dolezalova, Pavla; Uziel, Yosef; Shafaie, Nahid; Rumba-Rozenfelde, Ingrida; Stanevicha, Valda; Ruperto, Nicolino; Lovell, Daniel; Ravelli, Angelo ; Martini, Alberto.

In: Pediatric Rheumatology, Vol. 12, P176, 17.09.2014, p. 1-2.

Research output: Contribution to journal › Article

Consolaro, A, Bovis, F, Alexeeva, E, Panaviene, V, Anton, J, Nielsen, S, Susic, G, Trachana, M, Herlin, T, Wulffraat, N, Dolezalova, P, Uziel, Y, Shafaie, N, Rumba-Rozenfelde, I, Stanevicha, V, Ruperto, N, Lovell, D, Ravelli, A & Martini, A 2014, 'Nearly 20% of children are not correctly classified according to current ilar classification in a PRINTO dataset of more than 12,000 juvenile idiopathic arthritis patients', Pediatric Rheumatology, vol. 12, P176, pp. 1-2. https://doi.org/10.1186/1546-0096-12-S1-P176

Consolaro, Alessandro ; Bovis, Francesca ; Alexeeva, Ekaterina ; Panaviene, Violeta ; Anton, Jordi ; Nielsen, Susan ; Susic, Gordana ; Trachana, Maria ; Herlin, Troels ; Wulffraat, Nico ; Dolezalova, Pavla ; Uziel, Yosef ; Shafaie, Nahid ; Rumba-Rozenfelde, Ingrida ; Stanevicha, Valda ; Ruperto, Nicolino ; Lovell, Daniel ; Ravelli, Angelo ; Martini, Alberto. / Nearly 20% of children are not correctly classified according to current ilar classification in a PRINTO dataset of more than 12,000 juvenile idiopathic arthritis patients. In: Pediatric Rheumatology. 2014 ; Vol. 12. pp. 1-2.

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AU - Ravelli, Angelo

AU - Martini, Alberto

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Access to Document

10.1186/1546-0096-12-S1-P176