2013
DOI: 10.1016/j.prp.2013.04.014
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Epstein-Barr virus (EBV) positive diffuse large B cell lymphoma of the elderly—Experience of a single center from Turkey

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Cited by 10 publications
(5 citation statements)
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“…These unfavorable factors were shared by both groups, which indicated that EBV positive DLBCL belongs to a unique entity with aggressive clinical features 7 11 13 14 15 20 43 , regardless of age. Since there is no uniform cut-off for EBV positivity, some reports attributed the inconsistent results to the different cut-off values used in different studies 7 11 13 14 44 45 46 . However, by appling two most frequently-used cut-off values, our study indicated that EBER positive patients harbored more unfavorable clinical and pathological features than EBER negative ones, regardless of the cut-off values of EBV.…”
Section: Discussionmentioning
confidence: 99%
“…These unfavorable factors were shared by both groups, which indicated that EBV positive DLBCL belongs to a unique entity with aggressive clinical features 7 11 13 14 15 20 43 , regardless of age. Since there is no uniform cut-off for EBV positivity, some reports attributed the inconsistent results to the different cut-off values used in different studies 7 11 13 14 44 45 46 . However, by appling two most frequently-used cut-off values, our study indicated that EBER positive patients harbored more unfavorable clinical and pathological features than EBER negative ones, regardless of the cut-off values of EBV.…”
Section: Discussionmentioning
confidence: 99%
“…For example, EBV is an extremely common infection that does not lead to cancer in most people. In a small subset, EBV may contribute to DLBCL (Kinch et al , 2013; Ozsan et al , 2013), whereas in most people it does not. Similarly, not all DLBCL cases are EBV-positive, reflecting heterogeneity in the aetiology even of the same NHL subtype.…”
Section: Discussionmentioning
confidence: 99%
“…To estimate the incidences for DLBCL and ENKTL-NT and proportions of EBV-related cases, we conducted several meta-analyses of proportions with a random effects model using the meta-package in the R programming language (version 4.0.2) (Balduzzi et al 2019 ). Studies describing the frequency of DLBCL as a proportion of NHL (Chang et al 2005 ; Aoki et al 2008 ; Chen et al 2008 ; Okan et al 2008 ; Engels et al 2010a , b ; Yoon et al 2010 ; Kim et al 2011 ; Wada et al 2011 ; Yang et al 2011 ; Laurini et al 2012 ; Sun et al 2012 ; Szumera-Cieckiewicz et al 2014 ; van Leeuwen et al 2014 ; Al-Hamadani et al 2015 ; Cao et al 2018 ; Intragumtornchai et al 2018 ), EBV-related DLBCL as a proportion of DLBCL (Hoeller et al 2010 ; Hofscheier et al 2011 ; Wada et al 2011 ; Ozsan et al 2013 ; Pan et al 2013 ; Ok et al 2014 ; Sato et al 2014 ; Xie et al 2014 ; Hong et al 2015 ; Lu et al 2015 ; Monabati et al 2016 ; Stuhlmann-Laeisz et al 2016 ; Cohen et al 2017 ; Ohashi et al 2017 ; Okamoto et al 2017 ; Tokuyama et al 2017 ; Beltran et al 2018 ; Miyagi et al 2020 ) and ENKTL-NT as a proportion of NHL (Aoki et al 2008 ; Yoon et al 2010 ; Kim et al 2011 ; Yang et al 2011 ; Laurini et al 2012 ; Sun et al 2012 ; Szumera-Cieckiewicz et al 2014 ; van Leeuwen et al 2014 ; Aviles 2015 ; Cao et al 2018 ; Intragumtornchai et al 2018 ; Agrawal et al 2021 ) were retrieved from the published literature. Through this analysis, 95% confidence intervals for each individual study were calculated along with an estimate for the pooled proportion and its 95% confidence interval.…”
Section: Methodsmentioning
confidence: 99%