Identification of high-risk group for diabetes-associated hepatocellular carcinoma using noninvasive test for liver fibrosis.
1/5 보강
PICO 자동 추출 (휴리스틱, conf 2/4)
유사 논문P · Population 대상 환자/모집단
The Fibrosis-4 (FIB-4) index is commonly used for screening, but its age component tends to yield false-positive results in older patients.
I · Intervention 중재 / 시술
추출되지 않음
C · Comparison 대조 / 비교
추출되지 않음
O · Outcome 결과 / 결론
[CONCLUSION] The FIB-3 index is a promising tool for identifying high-risk groups for DM-HCC without age-dependent cutoffs, potentially enabling earlier diagnosis and better prognosis. Its ability to stratify risk consistently across age groups addresses the limitations of FIB-4.
[BACKGROUND] As diabetes-associated hepatocellular carcinoma (DM-HCC) has surged in Japan, there is an urgent need for effective screening methods.
APA
Kariyama K, Nouso K, et al. (2025). Identification of high-risk group for diabetes-associated hepatocellular carcinoma using noninvasive test for liver fibrosis.. European journal of gastroenterology & hepatology, 37(11), 1269-1274. https://doi.org/10.1097/MEG.0000000000003017
MLA
Kariyama K, et al.. "Identification of high-risk group for diabetes-associated hepatocellular carcinoma using noninvasive test for liver fibrosis.." European journal of gastroenterology & hepatology, vol. 37, no. 11, 2025, pp. 1269-1274.
PMID
40575827
Abstract
[BACKGROUND] As diabetes-associated hepatocellular carcinoma (DM-HCC) has surged in Japan, there is an urgent need for effective screening methods. The Fibrosis-4 (FIB-4) index is commonly used for screening, but its age component tends to yield false-positive results in older patients. This study aimed to evaluate the value of the newly developed Fibrosis-3 (FIB-3) index, which excludes age, for identifying high-risk groups for DM-HCC across all age groups.
[METHODS] This study included 174 patients with diabetes-associated Barcelona Clinic Liver Cancer stage 0 hepatocellular carcinoma (HCC) and 74 diabetic controls. The ability of the FIB-4 and FIB-3 indices to predict HCC risk was assessed using receiver operating characteristic (ROC) curves and multivariate logistic regression analyses.
[RESULTS] Both indices effectively identified high-risk groups for DM-HCC (area under the ROC curve: FIB-4, 0.909; FIB-3, 0.911). Notably, the FIB-4 index required age-adjusted cutoffs, whereas a single cutoff FIB-3 maintained its predictive ability across all age groups. Multivariate analysis confirmed FIB-3 as an independent predictor of HCC risk even after adjusting for factors such as BMI, liver function tests, and tumor markers.
[CONCLUSION] The FIB-3 index is a promising tool for identifying high-risk groups for DM-HCC without age-dependent cutoffs, potentially enabling earlier diagnosis and better prognosis. Its ability to stratify risk consistently across age groups addresses the limitations of FIB-4.
[METHODS] This study included 174 patients with diabetes-associated Barcelona Clinic Liver Cancer stage 0 hepatocellular carcinoma (HCC) and 74 diabetic controls. The ability of the FIB-4 and FIB-3 indices to predict HCC risk was assessed using receiver operating characteristic (ROC) curves and multivariate logistic regression analyses.
[RESULTS] Both indices effectively identified high-risk groups for DM-HCC (area under the ROC curve: FIB-4, 0.909; FIB-3, 0.911). Notably, the FIB-4 index required age-adjusted cutoffs, whereas a single cutoff FIB-3 maintained its predictive ability across all age groups. Multivariate analysis confirmed FIB-3 as an independent predictor of HCC risk even after adjusting for factors such as BMI, liver function tests, and tumor markers.
[CONCLUSION] The FIB-3 index is a promising tool for identifying high-risk groups for DM-HCC without age-dependent cutoffs, potentially enabling earlier diagnosis and better prognosis. Its ability to stratify risk consistently across age groups addresses the limitations of FIB-4.
MeSH Terms
Humans; Carcinoma, Hepatocellular; Liver Neoplasms; Male; Female; Middle Aged; Liver Cirrhosis; Aged; ROC Curve; Risk Factors; Predictive Value of Tests; Risk Assessment; Logistic Models; Case-Control Studies; Multivariate Analysis; Area Under Curve; Adult; Early Detection of Cancer; Retrospective Studies; Age Factors; Japan; Diabetes Complications; Neoplasm Staging