2019
DOI: 10.1007/s12325-019-00967-w
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Liaoning Score for Prediction of Esophageal Varices in Cirrhotic Patients Who Had Never Undergone Endoscopy: A Multicenter Cross-Sectional Study in Liaoning Province, China

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Cited by 19 publications
(16 citation statements)
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“…This was close to the results of Qi et al ., 15 who showed that the best cut‐off value for the Liaoning score was >0.474, with a sensitivity of 70%, a specificity of 77.67%, a PPV of 88.8%, and an NPV of 50.6%.…”
Section: Discussionsupporting
confidence: 90%
See 1 more Smart Citation
“…This was close to the results of Qi et al ., 15 who showed that the best cut‐off value for the Liaoning score was >0.474, with a sensitivity of 70%, a specificity of 77.67%, a PPV of 88.8%, and an NPV of 50.6%.…”
Section: Discussionsupporting
confidence: 90%
“… AST to platelets ratio index (APRI) = [(AST/ULN) × 100]/platelet count 109/L (ULN = the upper limit of normal) 13 ; King score = Age × AST × INR/Platelets 14 Lok score: log odds = −5.56 – 0.0089 × platelet count (103/mm3) + 1.26 × (AST/ALT) + 5.27 × INR; Lok = [exp (log odds)]/[1 + exp (log odds)] 15 FIB‐4 = (Age × AST)/(Platelets × √ (ALT)) 14 …”
Section: Methodsmentioning
confidence: 99%
“…The first survey devoted to Liaoning score proved that ascites and PLTs in the course of LC are independent predictors for EVs in patients with AUGIB. However, in the group without AUGIB, PLTs were shown to be the single predictor for EVs [34]. Consequently, the study by Qianqian et al on cirrhotic patients revealed that AUC of Liaoning score for predicting EVs was greater compared to APRI, AAR, and FIB-4 (0.737 vs. 0.650, 0.626, and 0.709, respectively) [35].…”
Section: Discussionmentioning
confidence: 99%
“…Regarding the performance of platelet values for predicting the presence and severity of EV, the results are controversial. Even if some studies demonstrated a good performance of platelet count alone to predict the presence and severity of EV, most studies have shown that their performance is better when used along with other non-invasive markers [ 4 , 13 , 14 , 15 , 16 ].…”
Section: Introductionmentioning
confidence: 99%