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 › peer-review

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

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10.1186/1546-0096-12-S1-P176

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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 › peer-review

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 - Alexeeva, Ekaterina

AU - Panaviene, Violeta

AU - Anton, Jordi

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AU - Susic, Gordana

AU - Trachana, Maria

AU - Herlin, Troels

AU - Wulffraat, Nico

AU - Dolezalova, Pavla

AU - Uziel, Yosef

AU - Shafaie, Nahid

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AU - Stanevicha, Valda

AU - Ruperto, Nicolino

AU - Lovell, Daniel

AU - Ravelli, Angelo

AU - Martini, Alberto

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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

ASJC Scopus subject areas

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