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

Research output: Contribution to journal › Article

Original languageEnglish
Article numberP176
Pages (from-to)1-2
Number of pages2
JournalPediatric Rheumatology
Volume12
DOIs
Publication statusPublished - Sep 17 2014

ASJC Scopus subject areas

  • Rheumatology
  • Immunology and Allergy
  • Pediatrics, Perinatology, and Child Health

Cite this

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 A, Bovis F, Alexeeva E, Panaviene V, Anton J, Nielsen S et al. 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. 2014 Sep 17;12:1-2. P176. 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

AU - Nielsen, Susan

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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