A novel risk score for hepatocellular carcinoma in Asian cirrhotic patients: a multicentre prospective cohort study

Liang, Kung–Hao; Ahn, Sang Hoon; Lee, Hye Won; Huang, Yeou‐Lih; Chien, Rong Nan; Hu, Tsung Hui; Lin, Kwang Huei; Yeh, Christopher; Hsu, Chao‐Wei; Lin, Chih Lang; Pan, Tai‐Long; Ke, Po‐Yuan; Chang, Ming; Yeh, Chau Ting

doi:10.1038/s41598-018-26992-3

Cited by 4 publications

(2 citation statements)

References 26 publications

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“…In addition, Liang et al developed and validated the HCC risk score based on platelets (PLT), HDL, insulin, HOMA-IR, lymphocyte percentage, neutrophil percentage, sugar/insulin ratio (SIR) and lymphocyte/neutrophil ratio (LNR), which could effectively predict HCC occurrence in cirrhosis patients. 45 …”

Section: Discussionmentioning

confidence: 99%

Development and Validation of a Prediction Model for Predicting the Prognosis of Postoperative Patients with Hepatocellular Carcinoma

Liu¹,

Liu²,

Yu³

et al. 2022

IJGM

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Purpose The aims of this study were to identify the prognosis-related risk factors for HCC patients after surgery and to develop a predictive model by analysing the medical records of 152 HCC patients in our hospital. Patients and Methods Univariate Cox regression analysis was applied to identify potential risk factors for HCC patients after surgery and to determine independent prognosis-related risk factors by multivariate analysis. Subsequently, a nomogram model was developed based on all independent factors and was validated by a validation set. Calibration and receiver operating characteristic curves were employed to evaluate the accuracy of the model. Finally, decision curve analyses were used to assess its clinical utility. Results The univariate Cox regression analysis indicated that the patient’s age, sex, grade, different AJCC TNM stages, vascular invasion, lymphatic infiltration, and tumour size were potential prognostic-related risk factors for HCC patients (p < 0.2), and the findings of multivariate analysis revealed that grade, different AJCC TNM stages, vascular invasion, and lymphatic infiltration were independent prognostic-related risk factors for HCC patients (p < 0.05). Subsequently, we constructed a prognosis-related prediction model based on all independent prognostic predictors and validated it with internal and external validation sets. The validation results indicated that the prediction model showed good accuracy (AUC = 0.81, 0.728) and consistency. More importantly, decision curve analysis illustrated that the nomogram model is a practical tool for predicting prognosis. Conclusion This study found that grade, different AJCC TNM stages, vascular invasion, and lymphatic infiltration were independent prognosis-related predictors for HCC patients after surgery, and a nomogram model built on these predictors exhibited great accuracy and clinical usefulness.

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Section: Discussionmentioning

confidence: 99%

Development and Validation of a Prediction Model for Predicting the Prognosis of Postoperative Patients with Hepatocellular Carcinoma

Liu¹,

Liu²,

Yu³

et al. 2022

IJGM

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“…A number of scoring systems have been developed to predict the risk of HCC, mainly focusing on chronic HBV [41][42][43][44][45][46][47][48] and HCV; [49][50][51][52][53] only a few have targeted all cirrhotic patients, regardless of etiology [54][55][56] (Table 3). Among them, the REACH-B (Risk Estimation for Hepatocellular Carcinoma in Chronic Hepatitis B), the PAGE-B (Platelets, Age, Gender in Chronic Hepatitis B), and the HALT-C (Hepatitis C Antiviral Long-Term Treatment against Cirrhosis) are the most popular and externally validated.…”

Section: Is a One-size-fits-all Strategy Practical For Surveillance Of Hcc In Cirrhotic Patients?mentioning

confidence: 99%

Surveillance of Hepatocellular Carcinoma in Cirrhotic Patients: Current Knowledge and Future Directions

Demirtaş¹

2020

Hepatology Forum

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Patients with cirrhosis are at the highest risk to develop hepatocellular carcinoma (HCC), with a variable annual risk of 1-8%. Currently, biannual abdominal ultrasound (USG) with or without alpha fetoprotein (AFP) is the recommended HCC surveillance strategy of major professional liver societies for all cirrhotic patients. However, the effectiveness of USG and AFP has been a sprawling subject of debate due to conflicting results and the low quality of the evidence. The role of cross-sectional imaging is controversial due to potential harm and cost-effectiveness concerns. Several novel serum biomarkers have been introduced for HCC screening, but have yet to be validated for various geographic regions. A risk-stratified algorithm is needed to increase the yield of HCC surveillance by distinguishing a high-risk group that requires more intense screening with cross-sectional imaging and serum biomarkers, and a low-risk group, where the standard surveillance strategy is continued. In this review, the strengths and concerns related to standard USG-based surveillance strategy are discussed, as well as efforts to increase the effectiveness of surveillance.

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Morphomic Signatures Derived from Computed Tomography Predict Hepatocellular Carcinoma Occurrence in Cirrhotic Patients

et al. 2019

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A novel risk score for hepatocellular carcinoma in Asian cirrhotic patients: a multicentre prospective cohort study

Cited by 4 publications

References 26 publications

Development and Validation of a Prediction Model for Predicting the Prognosis of Postoperative Patients with Hepatocellular Carcinoma

Development and Validation of a Prediction Model for Predicting the Prognosis of Postoperative Patients with Hepatocellular Carcinoma

Surveillance of Hepatocellular Carcinoma in Cirrhotic Patients: Current Knowledge and Future Directions

Morphomic Signatures Derived from Computed Tomography Predict Hepatocellular Carcinoma Occurrence in Cirrhotic Patients

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