Category Ranking
98%
Total Visits
921
Avg Visit Duration
2 minutes
Citations
20
Article Abstract
Purpose: We aimed to perform a meta-analysis with the intention of evaluating the reliability and test accuracy of the aMAP risk score in the identification of HCC.
Methods: A systematic search was performed in PubMed, Scopus, Cochrane, Embase, and Web of Science databases from inception to September 2023, to identify studies measuring the aMAP score in patients for the purpose of predicting the occurrence or recurrence of HCC. The meta-analysis was performed using the meta package in R version 4.1.0. The diagnostic accuracy meta-analysis was conducted using Meta-DiSc software.
Results: Thirty-five studies 102,959 participants were included in the review. The aMAP score was significantly higher in the HCC group than in the non-HCC group, with a mean difference of 6.15. When the aMAP score is at 50, the pooled sensitivity, specificity, negative likelihood ratio, and positive likelihood ratio with 95% CI was 0.961 (95% CI 0.936, 0.976), 0.344 (95% CI 0.227, 0.483), 0.114 (95% CI 0.087, 0.15), and 1.464 (95% CI 1.22, 1.756), respectively. At a cutoff value of 60, the pooled sensitivity, specificity, negative likelihood ratio, and positive likelihood ratio with 95% CI was 0.594 (95% CI 0.492, 0.689), 0.816 (95% CI 0.714, 0.888), 0.497 (95% CI 0.418, 0.591), and 3.235 (95% CI 2.284, 4.582), respectively.
Conclusion: The aMAP score is a reliable, accurate, and easy-to-use tool for predicting HCC patients of all stages, including early-stage HCC. Therefore, the aMAP score can be a valuable tool for surveillance of HCC patients and can help to improve early detection and reduce mortality.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11386263 | PMC |
| http://dx.doi.org/10.1016/j.jceh.2024.102381 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
The Age-Male-Albumin-Bilirubin-Platelet Risk Score Predicts Postoperative Prognosis of Intrahepatic Cholangiocarcinoma: A Multicenter Retrospective Study.
J Surg Res
August 2025
Liver Transplant Center & Laboratory of Liver Transplantation, West China Hospital of Sichuan University, Chengdu, China; Key Laboratory of Transplant Engineering and Immunology, NHC, West China Hospital of Sichuan University, Chengdu, China; Department of General Surgery, West China Hospital of Sic
Introduction: The age-male-albumin-bilirubin-platelets (AMAP) score serves as a specific model for assessing liver fibrosis among individuals with chronic hepatitis B. However, there remains ambiguity regarding its ability to reliably predict the long-term outcomes for patients diagnosed with intrahepatic cholangiocarcinoma (ICC) after undergoing radical surgical interventions.
Methods: This retrospective multicenter investigation included 681 participants diagnosed with ICC who had undergone radical surgical procedures.
What Is Already Known About This Topic?: Current strategies for chronic viral hepatitis prevention and control include immunization, prevention of mother-to-child transmission, expanded testing, antiviral therapy, and national drug price negotiations. To advance high-quality, integrated prevention and treatment services, a decentralized service delivery approach may be beneficial.
What Is Added By This Report?: The chronic viral hepatitis community-based healthcare management program in Shanghai delivered comprehensive service packages across 4 categories encompassing 10 distinct interventions, including epidemiological investigation, health education, free testing, community dispensing services, and immunization to family caregivers.
Enhancing Hepatocellular Carcinoma Surveillance: Comparative Evaluation of AFP, AFP-L3, DCP and Composite Models in a Biobank-Based Case-Control Study.
Cancers (Basel)
July 2025
Institute of Gastroenterology, Marmara University School of Medicine, Istanbul 34854, Türkiye.
Biomarkers such as lens agglutinin-reactive alpha-fetoprotein and des-gamma-carboxy prothrombin, as well as biomarker- and/or clinical-parameter-derived composite models (GALAD, GAAP, ASAP, aMAP, Doylestown), may improve detection in addition to alpha-fetoprotein, yet comparative data across diverse populations remain limited. : In this biobank-based case-control study, we evaluated 562 adults (120 healthy controls, 277 chronic liver disease, 165 hepatocellular carcinoma) from January 2019 to 2024. Diagnostic performance for any-stage and early-stage hepatocellular carcinoma was assessed across three thresholds: Youden-index-derived optimal cut-offs, research-established cut-offs, and cut-offs ensuring 90% specificity.
View Article and Find Full Text PDFMetabolic dysfunction-associated steatotic liver disease affects the development of hepatocellular carcinoma after sustained virologic response in chronic hepatitis C patients.
J Gastroenterol
August 2025
Department of Gastroenterology, Graduate School of Biomedical and Health Sciences, Hiroshima University Hospital, Hiroshima, Japan.
Background: Despite the high success rate of direct-acting antivirals (DAAs) in achieving sustained virologic response (SVR) in patients with chronic hepatitis C virus (HCV) infection, the risk of hepatocellular carcinoma (HCC) persists in some patients. Cardiometabolic factors, including type 2 diabetes mellitus (T2DM), have been reported as risk factors for de novo HCC after SVR. However, the impact of metabolic dysfunction-associated steatotic liver disease (MASLD) on HCC development after SVR, particularly in Japanese patients, remains unclear.
View Article and Find Full Text PDFFully automatic extraction of morphological traits from the web: Utopia or reality?
Appl Plant Sci
June 2025
INRIA, TETIS, University of Montpellier Montpellier France.
Premise: Plant morphological traits, their observable characteristics, are fundamental to understanding the role played by each species within its ecosystem; however, compiling trait information for even a moderate number of species is a demanding task that may take experts years to accomplish. At the same time, online species descriptions contain massive amounts of information about morphological traits, but the lack of structure makes this source of data impossible to use at scale.
Methods: To overcome this, we propose to leverage recent advances in large language models and devise a mechanism for gathering and processing plant trait information in the form of unstructured textual descriptions, without manual curation.