title: Risk assessment in paediatric glioma-Time to move on from the binary classification.
abstract: BACKGROUND
  Paediatric glioma encompasses a wide range of entities with highly variable prognoses. Gliomas are grouped by histopathological features into high- and low-grade glioma but this classification until recently has not taken into account many emerging risk factors in this disease. A comprehensive risk classification has not been published for paediatric glioma despite many risk factors being established in this disease.
  
  
  METHODS
  A comprehensive literature review was carried out identifying risk factors for paediatric low-grade and high-grade glioma.
  
  
  RESULTS
  The most consistently described risk factors in high-grade glioma included midline location and extent of surgical resection. For patients with progressive unresectable low-grade glioma, age under 1, neurofibromatosis type I status and location were the most consistently prognostic. Molecular classification shows promise in accurately reassigning diagnosis for some gliomas.
  
  
  CONCLUSIONS
  Risk profiling in paediatric glioma will require a focused multinational effort but will result in a more accurate and nuanced assessment of prognosis.
authors.affiliation: Children's Haematology/Oncology Centre, Christchurch Hospital, Christchurch, New Zealand; Department of Paediatrics, University of Otago (Christchurch), Christchurch, New Zealand. Electronic address: andrew.dodgshun@cdhb.health.nz.
authors.forename: A J
authors.initials: AJ
authors.lastname: Dodgshun
authors.affiliation: Children's Cancer Centre, Royal Children's Hospital, Melbourne, Victoria 3052, Australia; Department of Paediatrics, University of Melbourne, Melbourne, Victoria 3052, Australia; Murdoch Children's Research Institute, Melbourne, Victoria 3052, Australia.
authors.forename: J R
authors.initials: JR
authors.lastname: Hansford
authors.affiliation: Children's Cancer Centre, Royal Children's Hospital, Melbourne, Victoria 3052, Australia; Department of Paediatrics, University of Melbourne, Melbourne, Victoria 3052, Australia; Murdoch Children's Research Institute, Melbourne, Victoria 3052, Australia.
authors.forename: M J
authors.initials: MJ
authors.lastname: Sullivan
mesh_terms: D001932:Brain Neoplasms / Q000145:classification / Q000175:diagnosis* / Q000473:pathology; D002648:Child; D005910:Glioma / Q000145:classification / Q000175:diagnosis* / Q000473:pathology; D006801:Humans; D011379:Prognosis; D018570:Risk Assessment / Q000379:methods; D012307:Risk Factors
keywords: Child; Glioma; Prognosis; Risk factors