2019
DOI: 10.1177/1724600819874487
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Preoperative neutrophil-lymphocyte ratio predicts the risk of microvascular invasion in hepatocellular carcinoma: A meta-analysis

Abstract: Background: Preoperative estimation of microvascular invasion is of great significance for the clinical decision making in hepatocellular carcinoma. Neutrophil-lymphocyte ratio (NLR) has been reported to be correlated with the poor prognosis of hepatocellular carcinoma. However, the conclusions are conflicting on whether high preoperative NLR level is associated with the presence of microvascular invasion. Aim: To evaluate the association between preoperative NLR level and the risk of microvascular invasion in… Show more

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Cited by 26 publications
(22 citation statements)
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“…As for NLR, Zheng showed that there was a significant difference between MVI-positive and MVInegative group in NLR level using univariate analysis, but no difference was observed after multivariate analysis. 19 Li's study also conformed this point. 24 However, Yu and his team had a different opinion that NLR was a useful biomarker for predicting MVI in Notes: Categorical variables are expressed as frequency.…”
Section: Discussionsupporting
confidence: 52%
See 1 more Smart Citation
“…As for NLR, Zheng showed that there was a significant difference between MVI-positive and MVInegative group in NLR level using univariate analysis, but no difference was observed after multivariate analysis. 19 Li's study also conformed this point. 24 However, Yu and his team had a different opinion that NLR was a useful biomarker for predicting MVI in Notes: Categorical variables are expressed as frequency.…”
Section: Discussionsupporting
confidence: 52%
“…Inflammatory indices are reflective of the systematic inflammation which play an essential role in cancer development and progression. [19][20][21] Also, clinical studies showed that inflammatory indices can be used to predict the prognosis and the presence of MVI. [22][23][24][25][26][27] Therefore, it is necessary to combine inflammatory indices into the predictive models.…”
Section: Introductionmentioning
confidence: 99%
“…I 2 and P value were used to evaluate the statistical heterogeneity. A fixed effects model was adopted with significant heterogeneity (I 2 ≤ 50% and P ≥ 0.1), while a random effects model was employed in all other instances (I 2 > 50% or P < 0.1) [22][23][24]. Risk ratio (RR) with 95% confidence interval (CI) was calculated for binary outcomes, mean difference (MD), or the standardized mean difference (SMD) with 95% CI for continuous outcomes and the hazard ratio (HR) for time-to-event outcomes.…”
Section: Discussionmentioning
confidence: 99%
“…Statistical heterogeneity was assessed with I 2 and P-value. A fixed effects model was adopted without significant heterogeneity (I 2 ≤ 50% and P ≥ 0.1), while a random effects model was employed in all other instances (I 2 > 50% or P < 0.1) (Zeng et al, 2019, Zeng et al, 2020. Weighted mean difference (WMD) with 95% confidence intervals (95% CI) was calculated for inflammatory markers.…”
Section: Discussionmentioning
confidence: 99%