Predicting language outcome after left hemisperotomy: A systematic literature review

2020 ◽  
pp. 10.1212/CPJ.0000000000000852
Author(s):  
Karen Lidzba ◽  
Sarah E. Bürki ◽  
Martin Staudt

Objective:Hemi-decortication is a therapeutic option in patients with drug-resistant structural epilepsy. If surgery is performed early enough in left-hemispheric pathology, the plasticity of the developing brain may enable the right hemisphere to take over language – if this has not occurred prior to surgery. A systematic overview of potential predictors of language outcome after left hemi-decortication in children is warranted.Methods:In a systematic literature review, we analysed 58 studies on language lateralization after congenital or post-neonatally acquired left-hemispheric pathology, and on language outcome after left-sided hemi-disconnection, such as hemispherotomy. Single-subject data was pooled to determine the distribution of lateralization across aetiologies in congenital lesions and across age groups in acute post-neonatal lesions. A hierarchical linear regression assessed the influence of age at surgery, lesion type, age at seizure onset, and pre-surgery language function on language outcome after left hemi-decortication.Results:(1) In acute post-neonatal lesions, younger age at injury was significantly associated with right-sided language lateralization (Cramér’s V = .458; p = .039). (2) In patients with hemi-decortication, age at surgery was not significantly associated with language outcome (Cramér’s V = -.056; p = .584). Pre-surgical language function was the most powerful predictor for post-surgical language outcome (F4,47 = 7.35, p < .0001), with good pre-surgical language bearing the risk of post-surgical deterioration. (3) In congenital pathology, right-sided language lateralization was most frequent in pre-/perinatal stroke (Cramér’s V = .357; p < .0001).Conclusions:We propose a pre-surgical decision algorithm with age, pre-surgical language function, language lateralization and left-hemispheric structural pathology as decision points regarding surgery.

2014 ◽  
Author(s):  
Heather T. Snyder ◽  
Maggie R. Boyle ◽  
Lacey Gosnell ◽  
Julia A. Hammond ◽  
Haley Huey

2018 ◽  
Vol 19 (4) ◽  
pp. 600-611 ◽  
Author(s):  
Nathan Beel ◽  
Carla Jeffries ◽  
Charlotte Brownlow ◽  
Sonya Winterbotham ◽  
Jan du Preez

2017 ◽  
Vol 41 (3) ◽  
pp. 222-233 ◽  
Author(s):  
David J. Bumgarner ◽  
Elizabeth J. Polinsky ◽  
Katharine G. Herman ◽  
Joanne M. Fordiani ◽  
Carmen P. Lewis ◽  
...  

2019 ◽  
Vol 16 (2) ◽  
pp. 196-207 ◽  
Author(s):  
Christine E. Gould ◽  
Brian C. Kok ◽  
Vanessa K. Ma ◽  
Aimee Marie L. Zapata ◽  
Jason E. Owen ◽  
...  

Author(s):  
Muhammad Yousaf ◽  
Petr Bris

A systematic literature review (SLR) from 1991 to 2019 is carried out about EFQM (European Foundation for Quality Management) excellence model in this paper. The aim of the paper is to present state of the art in quantitative research on the EFQM excellence model that will guide future research lines in this field. The articles were searched with the help of six strings and these six strings were executed in three popular databases i.e. Scopus, Web of Science, and Science Direct. Around 584 peer-reviewed articles examined, which are directly linked with the subject of quantitative research on the EFQM excellence model. About 108 papers were chosen finally, then the purpose, data collection, conclusion, contributions, and type of quantitative of the selected papers are discussed and analyzed briefly in this study. Thus, this study identifies the focus areas of the researchers and knowledge gaps in empirical quantitative literature on the EFQM excellence model. This article also presents the lines of future research.


Sign in / Sign up

Export Citation Format

Share Document