@article{22266, author = {Greenberg S. and Sudlow C. and Anderson Craig and R. Salman Al-Shahi and Meretoja A. and Rannikmae K. and Woodfield R. and Charidimou A. and Chiewvit P. and Jeng J. and Palm F. and Putaala J. and Rinkel G. and Rosand J. and Rost N. and Strbian D. and Tatlisumak T. and Tsai C. and Wermer M. and Werring D. and Yeh S.}, title = {Reliability of intracerebral hemorrhage classification systems: A systematic review}, abstract = {

BACKGROUND: Accurately distinguishing non-traumatic intracerebral hemorrhage (ICH) subtypes is important since they may have different risk factors, causal pathways, management, and prognosis. We systematically assessed the inter- and intra-rater reliability of ICH classification systems. METHODS: We sought all available reliability assessments of anatomical and mechanistic ICH classification systems from electronic databases and personal contacts until October 2014. We assessed included studies' characteristics, reporting quality and potential for bias; summarized reliability with kappa value forest plots; and performed meta-analyses of the proportion of cases classified into each subtype. SUMMARY OF REVIEW: We included 8 of 2152 studies identified. Inter- and intra-rater reliabilities were substantial to perfect for anatomical and mechanistic systems (inter-rater kappa values: anatomical 0.78-0.97 [six studies, 518 cases], mechanistic 0.89-0.93 [three studies, 510 cases]; intra-rater kappas: anatomical 0.80-1 [three studies, 137 cases], mechanistic 0.92-0.93 [two studies, 368 cases]). Reporting quality varied but no study fulfilled all criteria and none was free from potential bias. All reliability studies were performed with experienced raters in specialist centers. Proportions of ICH subtypes were largely consistent with previous reports suggesting that included studies are appropriately representative. CONCLUSIONS: Reliability of existing classification systems appears excellent but is unknown outside specialist centers with experienced raters. Future reliability comparisons should be facilitated by studies following recently published reporting guidelines.

}, year = {2016}, journal = {International Journal of Stroke}, edition = {2016/04/20}, month = {169488475183}, isbn = {1747-4949 (Electronic)
1747-4930 (Linking)}, note = {Rannikmae, Kristiina
Woodfield, Rebecca
Anderson, Craig S
Charidimou, Andreas
Chiewvit, Pipat
Greenberg, Steven M
Jeng, Jiann-Shing
Meretoja, Atte
Palm, Frederic
Putaala, Jukka
Rinkel, Gabriel Je
Rosand, Jonathan
Rost, Natalia S
Strbian, Daniel
Tatlisumak, Turgut
Tsai, Chung-Fen
Wermer, Marieke Jh
Werring, David
Yeh, Shin-Joe
Al-Shahi Salman, Rustam
Sudlow, Cathie Lm
REVIEW
Int J Stroke. 2016 Apr 18. pii: 1747493016641962.}, language = {Eng}, }